29 20 2150 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Artificial Intelligence in Data-Driven Analytics for the Personalized Healthcare Subject The topic of the resource Big Data Analytics; Data-driven analytics; Data-driven medicine; Digital health; Expert systems; Health intelligence; smart healthcare Description An account of the resource Among the various developments in progress over the last decade, we have seen the generous growth of information investigation to take care of, plan, and use a lot of information beneficially. Be that as it may, because the analysis of evidence will only operate for authentic information and have findings as predefined by individuals, explicit principle-based calculations have been developed to broaden the investigation of information, 'Which is usually referred to as 'AI'. AI didn't expect PCs to be personalized unambiguously, which is a definite bit of leeway. In order to break down information and construct complicated equations to foresee models, which was called prescient analysis, AI was then joined with information inquiry. A set of laws characterized by persons, known as prescient equations, drive the prescient inquiry, and are used to break down genuine knowledge in order to predict potential outcomes. 2021 IEEE. Creator An entity primarily responsible for making the resource Sivabalaselvamani D.; Selvakarthi D.; Yogapriya J.; Thiruvenkatasuresh M.P.; Maruthappa M.; Chandra A.S. Source A related resource from which the described resource is derived 2021 International Conference on Computer Communication and Informatics, ICCCI 2021 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCCI50826.2021.9402703" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCCI50826.2021.9402703</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104943960&doi=10.1109%2FICCCI50826.2021.9402703&partnerID=40&md5=5d81a375916441f11b764c3ecf9c7034" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104943960&doi=10.1109%2fICCCI50826.2021.9402703&partnerID=40&md5=5d81a375916441f11b764c3ecf9c7034</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172815875-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sivabalaselvamani D., Kongu Engineering College Perundurai, Department of Computer Applications, Erode, Tamilnadu, 638060, India; Selvakarthi D., Kongu Engineering College Perundurai, Department of Electronics and Instrumentation Engineering, Erode, Tamilnadu, 638060, India; Yogapriya J., Kongunadu College of Engineering and Technology, Department of Computer Science and Engineering, Trichy, Tamilnadu, India; Thiruvenkatasuresh M.P., Erode Sengunthar Engineering College, Department of Computer Science and Engineering, Erode, Tamilnadu, India; Maruthappa M., School of Engineering and Technology, Sunway University, Malaysia; Chandra A.S., Institute of Management, Christ University (Deemed to Be University), Bengaluru, Karnataka, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Unlocking the potentials of using nanotechnology to stabilize agriculture and food production Subject The topic of the resource Electrospinning; Metal nanoparticles Optimal dose; Nanoclay; Nanofertilizer; Nanofungicides Description An account of the resource In the face of alarmingly increasing climate change, agricultural sector is exposed to innumerable and unprecedented challenges globally. This has led to food insecurity worldwide and in order to achieve the required food security at the global level, various methods and techniques have been put forth by researchers from around the world for boosting crop production and ensuring sustainability. Advanced nano-engineering is found to be of great import in improving production in agriculture and increasing input efficiency and minimization of losses. The fertilizers and pesticides, used for increasing and protecting the crop production respectively, can gain not only specific but also wider surface area with the help of nanomaterials, which serve as exclusive agrochemical carriers and assure facilitation of nutrients to target areas with the help of delivery monitoring techniques. Nanobiosensors, an example of the wide ranging nanotools, scaffold the growth of high-tech agricultural farms and also stand proof for the practical and proposed applications of the nanotools in terms of agricultural inputs control and their management precision. Nanosensors the off-spring of the culmination of biology and nanotechnology has an increased potential level in sensing and identifying both the advantageous and adverse conditions of the environment. The other applications of nano-technology include nanofertiliers with release-control techniques for healthy growth and rich yield and productivity of crops, nano-based target delivery approach, also referred to as gene transfer technique, for improved quality of crops, nanopesticides for effective protection of crops and other nanomaterials for promotion of stress tolerance among plants and enhancement of quality of soil [4]. In our review paper, we intend sum up the recent research and studies on the nanotechnology's innovative uses in agriculture to cope up with the ever-increasing necessity for food and sustenance of environment. 2021 Author(s). Creator An entity primarily responsible for making the resource Sivarethinamohan R.; Sujatha S. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-2327 Publisher An entity responsible for making the resource available American Institute of Physics Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1063/5.0039418" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0039418</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101576819&doi=10.1063%2F5.0039418&partnerID=40&md5=18950e416739d2603a2965e862d6aac7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101576819&doi=10.1063%2f5.0039418&partnerID=40&md5=18950e416739d2603a2965e862d6aac7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0094243X; ISBN: 978-073544071-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sivarethinamohan R., Christ (Deemed to Be University), Bangalore, India; Sujatha S., K.Ramak Rishnan College of Technology, Trichy, Tamilnadu, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Translator for Indian Sign Boards to English using Tesseract and SEQ2SEQ Model Subject The topic of the resource seq2seq model and Tamil OCR.; tesseract OCR engine Description An account of the resource Language translator for Indian language to English have been developed and it have proven to a challenging domain due to large combination of character in Indic scripts such as Tamil, Kannada and Hindi. In this paper we propose a system which captures Indian printed character and translates it into English, we have discussed the various method and machine learning model that was used to build this system with an accuracy of 87%. 2021 IEEE. Creator An entity primarily responsible for making the resource Sundara Pandiyan S.; Kelvin C. Source A related resource from which the described resource is derived 2021 International Conference on Simulation, Automation and Smart Manufacturing, SASM 2021 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/SASM51857.2021.9841215" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SASM51857.2021.9841215</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136268071&doi=10.1109%2FSASM51857.2021.9841215&partnerID=40&md5=88ba1784b04dbc59eb59bb6a353bd499" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136268071&doi=10.1109%2fSASM51857.2021.9841215&partnerID=40&md5=88ba1784b04dbc59eb59bb6a353bd499</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166540357-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sundara Pandiyan S., Department of Computer Science and Engineering, School of Engineering and Technology, Christ (Deemed to Be University), Bangalore, India; Kelvin C., Lg Soft India Pvt. Ltd, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Assessment of composite materials on encrypted secret message in image steganography using RSA algorithm Subject The topic of the resource Least significant bit (LSB); RSA algorithm; Stego-image Description An account of the resource The use of the internet in this modern era is increased many fold. The communications between different peers take place in digital form. While sharing the messages between different recipients, the confidentiality of the messages is very important. For creating the high level of security while sharing the secret messages, the cryptographic algorithms are introduced along with steganography. Image Steganography is a methodology used to hide the messages inside of the cover image. Initially, the secret information is encrypted by using the RSA Algorithm. Then the encrypted secret information is hidden in the Least Significant Bit (LSB) of the different components of the color image in such a way that the original quality of the image to be minimized. The recipient of the message is able to retrieve the encrypted secret message from the LSB bit of stego_image and then the cipher text is converted into original plain text by using the RSA algorithm. The proposed algorithm verified and analysed its performance against the different combinations of key pairs. 2021 Elsevier Ltd. All rights reserved. Creator An entity primarily responsible for making the resource Karthikeyan N.; Kousalya K.; Jayapandian N.; Mahalakshmi G. Source A related resource from which the described resource is derived Materials Today: Proceedings, Vol-81, No. 2, pp. 848-852. Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.matpr.2021.04.260" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.matpr.2021.04.260</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183526860&doi=10.1016%2Fj.matpr.2021.04.260&partnerID=40&md5=a0c3556d21668c6aab3924649491efcd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183526860&doi=10.1016%2fj.matpr.2021.04.260&partnerID=40&md5=a0c3556d21668c6aab3924649491efcd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22147853 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Karthikeyan N., Department of Computer Science and Engineering, Government College of Engineering, Sengipatti, Tamil Nadu, Thanjavur, India; Kousalya K., Department of Computer Science and Engineering, Kongu Engineering College, Perundurai, Tamil Nadu, Erode, India; Jayapandian N., Department of Computer Science and Engineering, School of Engineering and Technology, Christ (Deemed to Be University), Karnataka, Bangalore, India; Mahalakshmi G., Department of Computer Science and Engineering, Government College of Engineering, Sengipatti, Tamil Nadu, Thanjavur, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Harnessing nanotechnology applications and solutions for environmental and climate protection-an overview Subject The topic of the resource Aerogels; Carbon capture; Environmental Sensing; Pollution prevention; Remediation; Smart windows Description An account of the resource Nanotechnology is an emerging technology that has drawn considerable interest from environmentalists. Numerous nano techniques identify Nanotechnology applications as having the potential for imperative advantages and innovation. This work offers a wide-overview of the main beliefs that strengthen s nanotechnology. We focus on the potential applications of nanotechnology for environmental protection and management by thoroughly reviewing past literature. To our understanding, this is an academic, peer-reviewed work to deliver a systematic review of nano-activities in the areas of environmental and climate protection. Our study has been systematically arranged into two different groups (1) Potential applications of nanotechnology in r environmental protection and (2) The best part of Nanotechnology that combats Climate Change. For each of these cases, our contribution is twofold: First, in identifying the technical ways by which nanotechnology can solve environmental risks, and secondly, in briefly presenting its potential advantages. The paper ends with deliberation of challenges and operational barriers that technology needs to overcome to prove its commercial viability and for being adopted for commercial use. 2021 Author(s). Creator An entity primarily responsible for making the resource Sivarethinamohan R.; Sujatha S. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-2327 Publisher An entity responsible for making the resource available American Institute of Physics Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1063/5.0039422" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0039422</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101517397&doi=10.1063%2F5.0039422&partnerID=40&md5=2e2a50cec640d33369d0eea556989c41" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101517397&doi=10.1063%2f5.0039422&partnerID=40&md5=2e2a50cec640d33369d0eea556989c41</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0094243X; ISBN: 978-073544071-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sivarethinamohan R., Christ (Deemed to Be University), Bangalore, India; Sujatha S., K.Ramakrishnan College of Technology, Trichy, Tamilnadu, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Machine learning based Unique Perfume Flavour Creation Using Quantitative Structure-Activity Relationship (QSAR) Subject The topic of the resource Artificial Intelligence; Data Analytics; Human Intelligence; Machine Learning; Natural Language Processing; Perfume industry Description An account of the resource Artificial intelligence played a vital role in brings revolutionary changes in the field of perfumery. It is much evident with events including the success of Philyra, exhibitions showcasing the ideas of this concept. Machine learning made it user friendly and more comfortable for the users by means of suggestive interaction. Machine learning also benefited the perfumers in helping them to choose the best combinations and likely successful outcomes. With growing concern about a healthy lifestyle, the thoughts about having an artificial intelligence to predict the user friendliness could be a huge success. This definitely would require a huge database comprising a large detail about diseases and the causes and combinational results of the various chemicals used in perfumery. This system may not be a completely successful one but would be reliable to a better extent. It would gain a positive response from various governmental health departments and would be encouraged by the consumers. Also, another possible development would be Artificial intelligence that is able to predict how long a perfume can last. This would let the consumer choose the one that suits the need. Through this idea we could now get a clear idea about the progress that we have made till this day. Further we can also be driven into vague ideas about how the future of Artificial intelligence would likely grow into. Machine learning and deep learning is a major pillar of artificial intelligence with larger application. Coming to our domain of discussion, artificial intelligence changed the way that things were in the past centuries about fragrance. This article proposed Quantitative structure-activity relationship (QSAR) method is used to predict the best perfume flavour. The proposed system also reduces mean absolute error (MAE). The proposed QSAR is also reducing the chemical composition and increase the perfume quality. 2021 IEEE. Creator An entity primarily responsible for making the resource Sushma S.; Sundaram N.; Jayapandian N. Source A related resource from which the described resource is derived Proceedings - 5th International Conference on Computing Methodologies and Communication, ICCMC 2021, pp. 1397-1402. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCMC51019.2021.9418246" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCMC51019.2021.9418246</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106026326&doi=10.1109%2FICCMC51019.2021.9418246&partnerID=40&md5=bcb6064875e39ebe0b11ebafb948ea38" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106026326&doi=10.1109%2fICCMC51019.2021.9418246&partnerID=40&md5=bcb6064875e39ebe0b11ebafb948ea38</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166540360-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sushma S., Deemed to Be University, Christ, Department of CSE, Bangalore, India; Sundaram N., University of Applied Sciences Wzburg-Schweinfurt, Faculty of Mechatronics, Germany; Jayapandian N., Deemed to Be University, Christ, Department of CSE, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Perceptive VM Allocation in Cloud Data Centers for Effective Resource Management Subject The topic of the resource Cloud Computing; Parallelization; Prediction Model; Resource Management; VM Allocation Description An account of the resource Virtual Machine allocation in cloud computing centers has become an important research area. Efficient VM allocation can reduce power consumption and average response time which can benefit both the end users as well as the cloud vendors. This work presents a perceptive priority aware VM allocation policy named P-PAVA algorithm, which takes into account the priority of an application along with its compute, memory and bandwidth requirement. The algorithm performs allocation of the applications based on the priority it gets using a machine learning based prediction model. Furthermore, to reduce the overhead of the allocation algorithm, parallelization is employed before assigning various workloads. To achieve this, the algorithm employs the First fit technique as a baseline for the requests allocation with a criteria as low priority. When compared to the state of the art algorithm for VM allocation for priority aware applications, P-PAVA performs better on several criteria such as average response time, execution time and power consumption. 2021 IEEE. Creator An entity primarily responsible for making the resource Savitha S.; Salvi S. Source A related resource from which the described resource is derived 2021 6th International Conference for Convergence in Technology, I2CT 2021 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/I2CT51068.2021.9417960" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/I2CT51068.2021.9417960</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106470103&doi=10.1109%2FI2CT51068.2021.9417960&partnerID=40&md5=7609a0f44b36449ece544a912ad90478" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106470103&doi=10.1109%2fI2CT51068.2021.9417960&partnerID=40&md5=7609a0f44b36449ece544a912ad90478</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172818876-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Savitha S., Christ University, Department of Computer Science Engineering, Bangalore, India; Salvi S., National Institute of Technology Karnataka, Department of Information Technology, Surathkal, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Assesment of bone mineral density in X-ray images using image processing Subject The topic of the resource Bone densitometry; Bone mineral Density; DEXA; Osteoporosis Description An account of the resource X-ray application in medical fields has given rise to various research challenges related to bone, due to its wide usage in finding out the disease related to human anatomy. It has lot of research challenges to solve using available wide application of medical imaging techniques and inspired by this, a novel X-ray images based survey was conducted to understand the role of Xray images in medical field. Bone mass density identification is the standard procedure to monitor the risk of fracture in bone using DEXA. Lot of research has been carried out to calculate BMD using X-ray images and it provided prominent results. Since Xray is economically affordable and very economical compared to DEXA, we have decided to work on X-ray images. This paper explains us about various current advancements and disadvantages with respect to X-ray image in medical sector and various techniques related to BMD calculation. X-ray images characteristics and its fundamentals in the medical field for identifying bone related diseases are also discussed. 2021 Bharati Vidyapeeth, New Delhi. Copy Right in Bulk will be transferred to IEEE by Bharati Vidyapeeth. Creator An entity primarily responsible for making the resource Dodamani P.S.; Danti A. Source A related resource from which the described resource is derived Proceedings of the 2021 8th International Conference on Computing for Sustainable Global Development, INDIACom 2021, pp. 905-908. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/INDIACom51348.2021.00162" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/INDIACom51348.2021.00162</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107969876&doi=10.1109%2FINDIACom51348.2021.00162&partnerID=40&md5=271eb2791f264a25924edd63147c8232" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107969876&doi=10.1109%2fINDIACom51348.2021.00162&partnerID=40&md5=271eb2791f264a25924edd63147c8232</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-938054443-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Dodamani P.S., Christ University, Department of Computer Science and Engineering, Bangalore, India; Danti A., Christ University, Department of Computer Science and Engineering, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Review on DC-DC Converters with Photovoltaic System in DC Micro Grid Description An account of the resource Photovoltaic system is the low-cost source of electrical power in high solar energy regions. The benefits of PV system are like nonpolluting and minimum maintenance. Solar energy changes as per irradiance and temperature and also one factor which reduces the power output is the partial shading in the cells. Hence f o r th, various algo rith ms a r e p u t fo rth to obta in t h e maximum power f r o m t h e PV arrangement and dc-dc converters intend to regulate the supply. The concept of micro grid is emerging as an excellent solution for inter connecting renewable energy sources and loads. DC micro grid is a necessity in today's world. There is wide increase in usage of DC systems in commercial, residential and industrial systems. DC micro grids are dominant in reliability, control and efficiency. Direct current architectures will be used in demand in the future electrical distribution systems. This paper reviews on all above concepts to be used in DC micro grid for future DC applications. Published under licence by IOP Publishing Ltd. Creator An entity primarily responsible for making the resource Radhika S.; Margaret V. Source A related resource from which the described resource is derived Journal of Physics: Conference Series, Vol-1804, No. 1 Publisher An entity responsible for making the resource available IOP Publishing Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1088/1742-6596/1804/1/012155" target="_blank" rel="noreferrer noopener">https://doi.org/10.1088/1742-6596/1804/1/012155</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102338525&doi=10.1088%2F1742-6596%2F1804%2F1%2F012155&partnerID=40&md5=c140949b866cee819587bf23da5d489d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102338525&doi=10.1088%2f1742-6596%2f1804%2f1%2f012155&partnerID=40&md5=c140949b866cee819587bf23da5d489d</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 17426588 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Radhika S., School of Engineering and Technology, Department of Electrical and Electronics Engineering, CHRIST, Deemed to Be University, Bangalore, India; Margaret V., School of Engineering and Technology, Department of Electrical and Electronics Engineering, CHRIST, Deemed to Be University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The world of communication & computing platform in research perspective: Opportunities and challenges Subject The topic of the resource Cloud Computing; Cluster Computing; Distributed Computing; Grid Computing; Mobile Computing; Parallel Computing Description An account of the resource Computing paradigms are introduced for solving complex problems by analyzing, designing and implementing by complex systems. Computing can be defined as the effective use of computer or computer technology to solve tasks that are goal oriented. Computing is used in development of producing scientific studies, building intelligent systems, channeling different media for communication. Over the last few years, internet became so popular which lead to the increase in computer processing capacity, data storage and communication with one another. Computing has evolved from one technology to another in its field and formed a robust framework over the years. In this paper a survey on different computing paradigms like evergreen computing is cloud computing, to deal with basic scheduling is grid computing, for multi task handing is parallel computing, to handle smart phone data's that is mobile computing, cluster computing, and distributed computing is carried out. These technologies improved the way computing functions and made it easier to the computer world. The applications and research issues of the most of the computing paradigms are discussed in this article. The recent research issues in computing platform are scheduling and security. The scheduling is dealing with data processing from one computing platform to other computing device. Security is one of the important research issues. 2021 IEEE. Creator An entity primarily responsible for making the resource Kasyap V.B.; Jayapandian N. Source A related resource from which the described resource is derived 2021 3rd International Conference on Signal Processing and Communication, ICPSC 2021, pp. 289-293. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSPC51351.2021.9451711" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSPC51351.2021.9451711</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112804430&doi=10.1109%2FICSPC51351.2021.9451711&partnerID=40&md5=63ab9348691a70f83149485080ea1973" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112804430&doi=10.1109%2fICSPC51351.2021.9451711&partnerID=40&md5=63ab9348691a70f83149485080ea1973</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166542864-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kasyap V.B., CHRIST (Deemed to Be University), School of Engineering and Technology, India; Jayapandian N., CHRIST (Deemed to Be University), School of Engineering and Technology, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Machine learning approach for automatic solar panel direction by using nae bayes algorithm Subject The topic of the resource Artificial intelligence; Energy efficient; Machine learning; Microcontroller; Nae Bayes; Solar panel Description An account of the resource The upsurge in fuel prices are pointing out the fact that, the deficiency of conventional form of natural resources and building dams can never fulfill the demand of the growing population and it is exponentially increasing the electricity demand. Electricity is a day-to-day component, which is utilized for lighting, running appliances, machines. Moreover a large number of people are now switching to electric cars. Henceforth, it is equally important to achieve self-sustainability in energy needs and also it is necessary to have an infinite energy source. Sustainable power is the solitary solution to resolve this issue. On the other hand, the Indian government is promoting solar technology a lot in the year 2021 by providing subsidies to a maximum limit of 65% for the installation of home solar projects and this encourages people to switch to electric vehicles to reduce the pollution. This article presents a machine learning based dual-axis solar tracker to enhance the energy harnessing efficiency. Furthermore, the proposed method utilizes Nae Bayes algorithm to develop a better solution for producing higher energy from the solar panel. The Nae Bayes algorithm is a type of machine learning algorithm, which has been used to predict the reliable direction. This proposed method generates higher electricity, when compared with the traditional method. The experimental results aim to fix the north east direction of solar panel that produces 17.4 watts per hour, wherein the proposed method produces 24.8 watts. It is indicated that, more than 25% additional power generation is obtained by using Nae Bayes algorithm method. 2021 IEEE. Creator An entity primarily responsible for making the resource Tharakan R.A.; Joshi R.; Ravindran G.; Jayapandian N. Source A related resource from which the described resource is derived Proceedings - 5th International Conference on Intelligent Computing and Control Systems, ICICCS 2021, pp. 1317-1322. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICICCS51141.2021.9432114" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICICCS51141.2021.9432114</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107560091&doi=10.1109%2FICICCS51141.2021.9432114&partnerID=40&md5=557956aa50f67abff34e3e71ee9f194d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107560091&doi=10.1109%2fICICCS51141.2021.9432114&partnerID=40&md5=557956aa50f67abff34e3e71ee9f194d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166541272-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Tharakan R.A., Christ University, Department of CSE, Bangalore, India; Joshi R., Christ University, Department of CSE, Bangalore, India; Ravindran G., Christ University, Department of CSE, Bangalore, India; Jayapandian N., Christ University, Department of CSE, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Removal of Artifacts from Electroenchaphalography Signal using Multiwavelet Transform Subject The topic of the resource Artifacts; Electroenchaphalography; GHM and thresholding; signal to noise ratio and power spectral density Description An account of the resource The signal from the brain can be recorded using Electroenchaphalography (EEG). The proposed work summarizes a unique method which is used for the removal of mixed artifacts presented in the electroencephalography signal during the acquisition process. Artifacts comprises of various bio-potential unit such as electrooculogram, electrocardiogram, and electromyogram. These artifacts are referred as a noise sources which is responsible for the complexity of the EEG signal. The artifacts obtained from the EEG signal leads towards improper diagnosis of pathological conditions. The EEG signal which is obtained from the brain is the multi-dimensional signal with the various statistical properties. Time consumption of the EEG signal is not reproducible due to the biological properties of the signal. The information of the EEG signal consists of the data of the neuron levels which is collected for every millisecond with the temporal resolution scale. In account of special cases, EEG signal contains noise and artifacts where information is collected using the extraction of signals. To obtain the information of the artifacts the proposed technique is used to maintain higher accuracy in the extraction process. The proposed technique consists of multiwavelet transform to remove the artifacts from the input EEG signal. In the proposed multiwavelet transform, the signal which consists of noisy features can be decomposed using GHM and thresholding technique. This experimental analysis shows the removal of artifacts from the EEG signals. The pathological conditions are removed which leads to the increase in the accuracy of the system. Also, this research findings shows that the proposed multiwavelet transform based approach outperforms significantly with respect to conventional approaches. The reconstructed EEG signal has the lesser reliability range which is measured in-terms of signal to noise ratio and power spectral density. Published under licence by IOP Publishing Ltd. Creator An entity primarily responsible for making the resource Paulchamy B.; Chidambaram S.; Basheer J.M. Source A related resource from which the described resource is derived Journal of Physics: Conference Series, Vol-1921, No. 1 Publisher An entity responsible for making the resource available IOP Publishing Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1088/1742-6596/1921/1/012008" target="_blank" rel="noreferrer noopener">https://doi.org/10.1088/1742-6596/1921/1/012008</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107933339&doi=10.1088%2F1742-6596%2F1921%2F1%2F012008&partnerID=40&md5=e22b1e0f16336b877b9bd68701f3770e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107933339&doi=10.1088%2f1742-6596%2f1921%2f1%2f012008&partnerID=40&md5=e22b1e0f16336b877b9bd68701f3770e</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 17426588 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Paulchamy B., Department of ECE, Hindusthan Institute of Technology, India; Chidambaram S., Department of ECE, Christ University, Banglore, India; Basheer J.M., College of CSE, KING Khalid University, Saudi Arabia Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Novel hybrid metamaterial to improve the performance of a beamforming antenna Description An account of the resource This paper investigates the design and implementation of a novel hybrid metamaterial unit cell to improve a beamforming Wi-Fi antenna's performance. The proposed metamaterial unit cell is created on an FR-4 substrate (?? = 4.4) and a thickness of 1.6 mm. The metallization height of the unit cell is maintained at 0.035 mm. The designed metamaterial unit cell is simulated using HFSS Ver. 18.2 to verify the double negative behaviour. The unit cell consists of five Split Ring Resonators (SRR's) at the bottom and a hexagonal ring of six triangles. Initially, a conventional inset fed microstrip patch antenna is designed then an array of the proposed unit cell is created and used as a superstrate to study the performance. A Three Element Antenna Array (TEAA) is designed to operate at 2.4 GHz Wi-Fi band, and the superstrate created out of the proposed unit cell is used to study its effect. Metamaterial superstrate improved the conventional Single Element Antenna (SEA) gain by approximately 2 dB. Superstrate with TEAA exhibited an improved gain of 1 dB over TEAA. Published under licence by IOP Publishing Ltd. Creator An entity primarily responsible for making the resource Shashi Kumar D.; Suganthi S. Source A related resource from which the described resource is derived Journal of Physics: Conference Series, Vol-1921, No. 1 Publisher An entity responsible for making the resource available IOP Publishing Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1088/1742-6596/1921/1/012020" target="_blank" rel="noreferrer noopener">https://doi.org/10.1088/1742-6596/1921/1/012020</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107915364&doi=10.1088%2F1742-6596%2F1921%2F1%2F012020&partnerID=40&md5=daf74f1f26ac1b04ecaa35449f570892" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107915364&doi=10.1088%2f1742-6596%2f1921%2f1%2f012020&partnerID=40&md5=daf74f1f26ac1b04ecaa35449f570892</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 17426588 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shashi Kumar D., RF and Microwave Research Laboratory, School of Engineering and Technology, CHRIST University, Bangalore, India; Suganthi S., RF and Microwave Research Laboratory, School of Engineering and Technology, CHRIST University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Comparison of HOG and fisherfaces based face recognition system using MATLAB Subject The topic of the resource Error-correcting output code (ECOC); Fisherface; Histogram of oriented gradients (HOG); Linear discriminant analysis (LDA); Principal component analysis (PCA) Description An account of the resource Face recognition and validation is not an easy task due to barriers in between like variation in pose, facial expressions and illumination. There are many algorithms available to build a face recognition system. One such popular method of approach is the Histogram of Oriented Gradients (HOG). It is a simple but effective algorithm. Even though it gives satisfactory results, it sometimes mismatches query image with irrelevant images, especially in poor lighting conditions. This paper presents a more accurate technique called Fisherfaces. It is a more reliable method for face recognition and validation. Fisherface algorithm is utilized primarily for reducing the dimensionality of the feature space. Fisherface method for image recognition involves a series of steps. Firstly, the face space dimension is reduced using Principal Component Analysis (PCA) method, then the Linear Discriminant Analysis (LDA) method is used for feature extraction. Fisherface method produced good results even under complex situations like varying illumination conditions and images with different poses and expressions which is a major drawback of HOG. Fisherface algorithm can reach a maximum accuracy of 96.87%. Error Correcting Output Code (ECOC) is the classifier used for both HOG and Fisherfaces. 2021 IEEE. Creator An entity primarily responsible for making the resource Megha Chandra Reddy N.V.; Kumar K. Source A related resource from which the described resource is derived 2021 2nd International Conference for Emerging Technology, INCET 2021 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/INCET51464.2021.9456366" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/INCET51464.2021.9456366</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113291655&doi=10.1109%2FINCET51464.2021.9456366&partnerID=40&md5=1468ab883f7f7adfcc70b175468dd2fd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113291655&doi=10.1109%2fINCET51464.2021.9456366&partnerID=40&md5=1468ab883f7f7adfcc70b175468dd2fd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172817029-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Megha Chandra Reddy N.V., Christ(Deemed to Be) University, Dept. of Electronics and Communication Engineering, Bangalore, India; Kumar K., Christ(Deemed to Be) University, Dept. of Electronics and Communication Engineering, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Categorization of artwork images based on painters using CNN Subject The topic of the resource Convolutional Neural Network; Deep Learning; Neural Network; Painter Identification; Painting Classification Description An account of the resource Artworks and paintings has been an integral part of human civilization since the dawn of the Stone Age. Paintings gives more insight about any subject compared to the scriptures and documents. Archiving of digital form of paintings helps to preserve the artworks of different painters. The anticipated work is aimed for the classification of painters' artworks. The artworks of Foreign & Indian painters are considered for the proposed work. The foreign painters' artworks are obtained from [14]. At present, the Indian painters' artwork dataset is not readily available. The images were downloaded from the specific genuine website [13]. Conventional Neural Network is used for Feature learning and classification. Around 20k images of artworks is used for the experiment and got an average accuracy of 85.05%. Published under licence by IOP Publishing Ltd. Creator An entity primarily responsible for making the resource Mondal K. Source A related resource from which the described resource is derived Journal of Physics: Conference Series, Vol-1818, No. 1 Publisher An entity responsible for making the resource available IOP Publishing Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1088/1742-6596/1818/1/012223" target="_blank" rel="noreferrer noopener">https://doi.org/10.1088/1742-6596/1818/1/012223</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102781880&doi=10.1088%2F1742-6596%2F1818%2F1%2F012223&partnerID=40&md5=f1e4c81db30b688ef821e7df3e808e28" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102781880&doi=10.1088%2f1742-6596%2f1818%2f1%2f012223&partnerID=40&md5=f1e4c81db30b688ef821e7df3e808e28</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 17426588 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mondal K., Department of Computer Science, Christ (Deemed to Be University), Bengaluru, Karnataka, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Research challenges in self-driving vehicle by using internet of things (IoT) Subject The topic of the resource Artificial intelligence; Energy efficient; Machine learning; Microcontroller; Nae bayes; Solar panel Description An account of the resource This article summarizes the benefits, safety hazards, and limitations of owning a self-driving vehicle. Finding a way to use an SDV(Self Driving Vehicle) is minimizing the risk for an accident is important for public and road safety. The actual rate of accidents for self-driving vehicles are lower than that for regular vehicles since the total number of miles of self-driving vehicles combined is nowhere close to that of regular fossil-fueled vehicles. Even though there is no proof that self-driving vehicles will not cause accidents, it is important to know that self-driving vehicles weren't the cause in all the cases they have been involved. That is, it will not be purely considered as the machine's mistake. The safety level of self-driving vehicles has been proven to be one of the best and that has led to the number of serious accident-related wounds in self-driving vehicles to remain lower than the standard level. Nevertheless, Internet of Things plays a major role in developing the self-driving vehicle concept. 2021 IEEE. Creator An entity primarily responsible for making the resource Krishna K.; Karumuri N.; Christopher C.; Jayapandian N. Source A related resource from which the described resource is derived Proceedings - 5th International Conference on Intelligent Computing and Control Systems, ICICCS 2021, pp. 423-427. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICICCS51141.2021.9432147" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICICCS51141.2021.9432147</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107599510&doi=10.1109%2FICICCS51141.2021.9432147&partnerID=40&md5=74e141a2148363952ad590a472fe4a5f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107599510&doi=10.1109%2fICICCS51141.2021.9432147&partnerID=40&md5=74e141a2148363952ad590a472fe4a5f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166541272-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Krishna K., Christ University, Department of CSE, Bangalore, India; Karumuri N., Christ University, Department of CSE, Bangalore, India; Christopher C., Christ University, Department of CSE, Bangalore, India; Jayapandian N., Christ University, Department of CSE, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Food calorie estimation using convolutional neural network Subject The topic of the resource Convolutional Neural Network; Deep Learning; Food Classification; Food Detection; Pattern Recognition; Tensorflow Description An account of the resource The modern world healthy body depends on the number of calories consumed, hence monitoring calorie intake is necessary to maintain good health. At the point when your Body Mass Index is somewhere in between from 25 to 29. It implies that you are conveying overabundance weight. Assuming your BMI is more than 30, it implies you have obesity. To get in shape or keep up the solid weight individuals needs to monitor the calorie they take. The existing system calorie estimation is to be happened manually. The proposed model is to provide unique solution for measuring calorie by using deep learning algorithm. The food calorie calculation is very important in medical field. Because this food calorie is provide good health condition. This measurement is taken from food image in different objects that is fruits and vegetables. This measurement is taken with the help of neural network. The tensor flow is one of the best methods to classify the machine learning method. This method is implementing to calculate the food calorie with the help of Convolutional Neural Network. The input of this calculated model is taken an image of food. The food calorie value is calculated the proposed CNN model with the help of food object detection. The primary parameter of the result is taken by volume error estimation and secondary parameter is calorie error estimation. The volume error estimation is gradually reduced by 20%. That indicates the proposed CNN model is providing higher accuracy level compare to existing model. 2021 IEEE. Creator An entity primarily responsible for making the resource Kasyap V.B.; Jayapandian N. Source A related resource from which the described resource is derived 2021 3rd International Conference on Signal Processing and Communication, ICPSC 2021, pp. 666-670. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSPC51351.2021.9451812" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSPC51351.2021.9451812</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112856993&doi=10.1109%2FICSPC51351.2021.9451812&partnerID=40&md5=c3c93b20ead0885a586667085b4510c0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112856993&doi=10.1109%2fICSPC51351.2021.9451812&partnerID=40&md5=c3c93b20ead0885a586667085b4510c0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166542864-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kasyap V.B., CHRIST (Deemed to Be University), School of Engineering and Technology, India; Jayapandian N., CHRIST (Deemed to Be University), School of Engineering and Technology, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Prediction of football players performance using machine learning and deep learning algorithms Subject The topic of the resource Deep Learning Algorithm; Machine Learning algorithm Linear Regression; Neural networks; Performance Prediction Description An account of the resource In modern days the margin of error for football game is low, therefore the ultimate aim of the game is to win the match. The performance of the players in the match affects the results of the game. Due to this it is very important to evaluate the player and know his weakness. Manual evaluation tends to generate many errors and take more time. In the current research the statistical model is proposed to predict the stats of the football player based on previous session data by considering various aspects of the game. Through literature reviews it is observed that machine learning and deep learning algorithms can be used predict the performance of football player. But which model would be more efficient considering the positions of the player is not considered in any article. The proposed model has designed separate model as per the position of the player during the game. This can help to predict the player's performance as per their playing position. The current study has successfully implemented various machine learning and deep learning models and provide comparative analysis of the same. Each position has considered different variables associated with that position. The performance of these models is compared for further clarification 2021 IEEE. Creator An entity primarily responsible for making the resource Manish. S.; Bhagat V.; Pramila R.M. Source A related resource from which the described resource is derived 2021 2nd International Conference for Emerging Technology, INCET 2021 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/INCET51464.2021.9456424" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/INCET51464.2021.9456424</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113334181&doi=10.1109%2FINCET51464.2021.9456424&partnerID=40&md5=08439906702208501ed7eeae3af94f5b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113334181&doi=10.1109%2fINCET51464.2021.9456424&partnerID=40&md5=08439906702208501ed7eeae3af94f5b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172817029-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Manish. S., CHRIST(Deemed to Be University), Department of Data Science, Lavasa, Pune, India; Bhagat V., CHRIST(Deemed to Be University), Department of Data Science, Lavasa, Pune, India; Pramila R.M., CHRIST(Deemed to Be University), Department of Data Science, Lavasa, Pune, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Bard-Taylor ferroconvection with time-dependent sinusoidal boundary temperatures Description An account of the resource The combined effect of centrifugal acceleration and time-varying boundary temperatures on the onset of convective instability of a rotating magnetic fluid layer is investigated by means of the regular perturbation method. A perturbation expansion in terms of the amplitude of applied temperature field is implemented to effectively deal with the effects of temperature modulation. The criterion for the threshold is established based on the condition of stationary instability manifesting prior to oscillatory convection. The modulated critical Rayleigh number is computed in terms of Prandtl number, magnetic parameters, Taylor number and the frequency of thermal modulation. It is shown that subcritical motion exists only for symmetric excitation and the destabilizing effect of magnetic mechanism is perceived only for asymmetric and bottom wall excitations. It is also delineated that, for bottom wall modulation, rotation tends to stabilize the system at low frequencies and the opposite is true for moderate and large frequencies. Furthermore, it is established that, notwithstanding the type of thermal excitation, the modulation mechanism attenuates the influences of both magnetic stresses and rotation for moderate and large frequencies. Published under licence by IOP Publishing Ltd. Creator An entity primarily responsible for making the resource Maruthamanikandan S.; Thomas N.M.; Mathew S. Source A related resource from which the described resource is derived Journal of Physics: Conference Series, Vol-1850, No. 1 Publisher An entity responsible for making the resource available IOP Publishing Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1088/1742-6596/1850/1/012061" target="_blank" rel="noreferrer noopener">https://doi.org/10.1088/1742-6596/1850/1/012061</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112623569&doi=10.1088%2F1742-6596%2F1850%2F1%2F012061&partnerID=40&md5=3e9cf4d61cbda09396a394f2d5e57550" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112623569&doi=10.1088%2f1742-6596%2f1850%2f1%2f012061&partnerID=40&md5=3e9cf4d61cbda09396a394f2d5e57550</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 17426588 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Maruthamanikandan S., Department of Mathematics, School of Engineering, Presidency University, Itgalpur, Yelahanka, Bengaluru, 560064, India; Thomas N.M., Department of Sciences and Humanities, Faculty of Engineering, CHRIST (Deemed to Be University), Bengaluru, 560074, India; Mathew S., Department of Mathematics, Kristu Jayanti College, Kothanur, Bangalore, 560077, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource COLPOUSIT: A Hybrid Model for Tourist Place Recommendation based on Machine Learning Algorithms Subject The topic of the resource Collaborative filtering; Hybrid recommender system; Recommender system; Travel and tourism Description An account of the resource Tourism is an important sector for a country's economic growth. The travel recommendations should be made focused on better growth and attract more travelers. There is a huge amount of travel information and ideas available on the web that allows the users to make poor travel decisions. This paper focuses on building a hybrid travel recommender system by implementing collaborative-based, popularity-based, and nearby place weighted recommender system. The proposed system recommends the travel spots to the users based upon their interests and other criteria specified. In order to implement these methods, we applied a comparative study on different machine learning algorithms for collaborative-based approach and have performed weighted hybridization. These methods provide a personalized and customized list of similar places with respect to places of interest to the users. Thus, a hybrid system built using these methods provides a better recommendation of places with the advantages of these methods. The obtained results confirm that the hybrid method better than other recommender approaches when used separately. 2021 IEEE. Creator An entity primarily responsible for making the resource Ummesalma M.; Yashiga C. Source A related resource from which the described resource is derived Proceedings of the 5th International Conference on Trends in Electronics and Informatics, ICOEI 2021, pp. 1743-1750. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICOEI51242.2021.9452746" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICOEI51242.2021.9452746</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113554344&doi=10.1109%2FICOEI51242.2021.9452746&partnerID=40&md5=b174cf5c426a9005117541419c4d4c10" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113554344&doi=10.1109%2fICOEI51242.2021.9452746&partnerID=40&md5=b174cf5c426a9005117541419c4d4c10</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166541571-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ummesalma M., Christ (Deemed to Be University), Department of Computer Science, Bangalore, 560029, India; Yashiga C., Christ (Deemed to Be University), Department of Computer Science, Bangalore, 560029, India