533 20 11858 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 Stock Market Trend Analysis on Indian Financial News Headlines with Natural Language Processing Subject The topic of the resource Data Mining; Machine Learning; NLP; Sentiment Analysis; stock prediction; Trend Analysis Description An account of the resource Predicting the stock movement in the real-time scenario has been the most challenging and sophisticated in business. This business is affected by several factors from physical to psychological as well as rational to irrational. So far only few aspects have been taken into account while breaking down the conclusion. Implementing sentiment analysis, a subfield of Natural Language Processing (NLP), from the news, social media or financial document, investors decide whether they should invest for the company. The results have shown a significant and a feasible method for predicting the stock market trend with higher accuracy. The current research has mainly focus on finding the sentiment score from the news headlines and finding the hidden trend from it. Further the trading signals are generated based on the prevailing trend and trends are executed by the automated trading system. Using this algorithm, traders can reduce the manual intervention in the buy and sell decisions related to the stock market. 2021 IEEE. Creator An entity primarily responsible for making the resource Saxena A.; Vijay Bhagat V.; Tamang A. Source A related resource from which the described resource is derived 2021 Asian Conference on Innovation in Technology, ASIANCON 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/ASIANCON51346.2021.9544965" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ASIANCON51346.2021.9544965</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117622721&doi=10.1109%2FASIANCON51346.2021.9544965&partnerID=40&md5=190562bf484e813b30b679786d2cbf51" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117622721&doi=10.1109%2fASIANCON51346.2021.9544965&partnerID=40&md5=190562bf484e813b30b679786d2cbf51</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172818583-5 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 Saxena A., Christ (Deemed to Be University), Bangalore, India; Vijay Bhagat V., Christ (Deemed to Be University), Bangalore, India; Tamang A., Independent Consultant, 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 Design Cognition while using digital tools: A Distributed Cognition Approach Subject The topic of the resource Affordances; Design Thinking; Distributed Cognition; Ideation Flow Analysis; Visual Thinking Description An account of the resource The use of digital tools in the conventional architecture design thinking process which derives its basis from sketching is followed in many colleges in India. Various shortcomings due to the integration of digital tools to the manual design process have been enumerated during the past 30 years. Digital tools provide affordances different from the manual sketching design process, the effects of which can be understood by adopting a distributed cognition approach. The paper builds on design cognition research while using externalization tools in the design process. It does so by developing a theoretical framework derived from distributed cognition and an understanding of visual thinking processes from design literature. The paper utilizes the distributed cognition framework by Zhang and Norman, to arrive at resultant affordances of externalization tools in design. The same is then utilized for a protocol study which was coded for its visual thinking components and other relevant codes. The same protocol study was also coded for ideation flow analysis. The findings pointed towards compromised visual thinking and reduced ideation while utilizing digital tools in quick conceptualization. 2021 ACM. Creator An entity primarily responsible for making the resource Vriddhi V.; Sen J.; Sharma A. Source A related resource from which the described resource is derived ACM International Conference Proceeding Series, pp. 30-39. Publisher An entity responsible for making the resource available Association for Computing Machinery 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/10.1145/3488466.3488491" target="_blank" rel="noreferrer noopener">https://doi.org/10.1145/3488466.3488491</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122994952&doi=10.1145%2F3488466.3488491&partnerID=40&md5=12e70ba673b2f3d97501a1cc16381373" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122994952&doi=10.1145%2f3488466.3488491&partnerID=40&md5=12e70ba673b2f3d97501a1cc16381373</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-145038499-5 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 Vriddhi V., School of Architecture, Christ University, India; Sen J., Department of Architecture and Regional Planning, Indian Institute of Technology Kharagpur, India; Sharma A., Department of Design, Indian Institute of Technology Delhi, 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 Future Innovation in Healthcare by Spatial Computing using ProjectDR Subject The topic of the resource 3D Tracking; Augmented Reality; Medical display; ProjectDR; Rehabilitation of patients; Spatial Computing; Virtual Reality Description An account of the resource Spatial Computation is the next step in the continuing convergence between the digital and physical realms. It is a set of inventions and developments that can better our lives through learning the real world, acknowledging and connecting our connection to, and traveling through various locations in the world. The lack of modern, precise, and effective diagnosis limits the rehabilitation of patients, despite technical advancements in medicines. The capabilities of spatial computing are expanded in a healthcare framework during the care and treatment of the patient. In this article, our purpose is to clarify the function of ProjectDR in the field of healthcare, which enables the display of medical images, such as CT scans and MRI results, directly on the patient's body in a manner that moves as patients do. 2021 IEEE. Creator An entity primarily responsible for making the resource Sasi A.; Ravichandran S.K. Source A related resource from which the described resource is derived Proceedings of the 3rd International Conference on Inventive Research in Computing Applications, ICIRCA 2021, pp. 829-833. 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/ICIRCA51532.2021.9544796" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIRCA51532.2021.9544796</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116883624&doi=10.1109%2FICIRCA51532.2021.9544796&partnerID=40&md5=0a6abbd73d1c06673845814a38f3635c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116883624&doi=10.1109%2fICIRCA51532.2021.9544796&partnerID=40&md5=0a6abbd73d1c06673845814a38f3635c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-073814627-0 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 Sasi A., School of Engineering, Presidency University, Department of Computer Science and Engineering, Karnataka, Bengaluru, India; Ravichandran S.K., School of Engineering and Technology, Christ University, Department of Computer Science and Engineering, Karnataka, Bengaluru, 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 and Comparative Study on Surface Vehicle Path Planning Algorithm Subject The topic of the resource Automatic Identification System (AIS); International Regulations for Preventing Collision at Sea (COLREGS); Unmanned Surface Vehicles (USVs); Vessel Intelligent Collision Avoidance Decisionmaking (VICAD) Description An account of the resource Autonomous Surface Vehicles (ASV) is very active area of robotics. There are so many projects are going on and doing research on monitoring and surveying on environment. There are significant studies on AS V's reverie, sea and coastal environments. Many algorithms are used by different researchers for path planning or route planning. Programmed recreation projects of boat route can be a useful asset for operational arranging and Layout investigations of conduits. In such a recreation framework the key undertakings of self-ruling course finding, and impact evasion are done by a reproduction program itself without or minimum interaction of a human pilot. That is from numerous points of view like programmed route frameworks in that they are intended to do self-governing route securely and proficiently without the requirement for Human intercession or to offer exhortation to the guide in regard to the best game-plan to take in certain circumstances. There are two key errands of programmed transport route frameworks: course finding and Collision evasion. 2021 ACM. Creator An entity primarily responsible for making the resource Nunia V.; Poonia R.C. Source A related resource from which the described resource is derived ACM International Conference Proceeding Series, pp. 106-109. Publisher An entity responsible for making the resource available Association for Computing Machinery 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/10.1145/3484824.3484874" target="_blank" rel="noreferrer noopener">https://doi.org/10.1145/3484824.3484874</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123803940&doi=10.1145%2F3484824.3484874&partnerID=40&md5=69c8544030807f1ae760dabc75ddbf5c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123803940&doi=10.1145%2f3484824.3484874&partnerID=40&md5=69c8544030807f1ae760dabc75ddbf5c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-145038763-7 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 Nunia V., Department of Computer Science and Engineering, Amity University, Rajasthan, Jaipur, India; Poonia R.C., Department of Computer Science, CHRIST Deemed to Be University, Karnataka, 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 Ternary Blended Geo-Polymer Concrete - A Review Subject The topic of the resource Alkali activators; Fly ash; Geopolymer concrete, GGBS; Silica-fume Description An account of the resource The manufacturing of ordinary Portland cement produces carbon di oxide which is responsible for global warming. Geopolymer concrete in the field of construction leads to economic sustainability and reduces adverse effects on environment. Geopolymers are inorganic polymers obtained from chemical reaction between an alkaline activator's solution and an alumina-silicate material without using cement. Alkali activators are Homogeneous mixture consisting of two (NaOH and Na2SO3) or more chemicals in different proportions are highly corrosive and difficult to handle. There are still some limitations with respect to the alkaline activators in geopolymer concrete. To overcome ordinary portland cement, many wastes materials such as Silica-fume, GGBS, fly ash etc. have been used in recent studies to create eco-friendly cements by geo-polymerization reactions. Geopolymers are economic & good alternative construction material in making concrete This review paper briefly explains on previous literatures, properties, materials of geopolymer concrete, testing and practical applications of geopolymer concrete. Published under licence by IOP Publishing Ltd. Creator An entity primarily responsible for making the resource Md. Khalid S; Shobha M.S.; Tanu H.M.; Reshma T.V. Source A related resource from which the described resource is derived IOP Conference Series: Earth and Environmental Science, Vol-822, 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/10.1088/1755-1315/822/1/012043" target="_blank" rel="noreferrer noopener">https://doi.org/10.1088/1755-1315/822/1/012043</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115030856&doi=10.1088%2F1755-1315%2F822%2F1%2F012043&partnerID=40&md5=eccfbc3a7c34f8eb96a47aef6d0af49c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115030856&doi=10.1088%2f1755-1315%2f822%2f1%2f012043&partnerID=40&md5=eccfbc3a7c34f8eb96a47aef6d0af49c</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 17551307 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 Md. Khalid S, Department of Civil Engineering, BITM Ballari, India; Shobha M.S., Department of Civil Engineering, RYMEC Ballari, India; Tanu H.M., Department of Civil Engineering, CHRIST UNIVERSITY, Bangalore, India; Reshma T.V., Department of Civil Engineering, GITAM 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 Effective ML Techniques to Predict Customer Churn Subject The topic of the resource Class imbalance; Customer churn; Ensemble model; Hybrid model; Machine learning Description An account of the resource Customer churn is one of the most challenging problems that affects revenue and growth strategy of a company. According to a recent Gartner Tech Marketing survey, 91% of C-level respondents rate customer churn as one of their top concerns. However, only 43% have invested in additional resources to support customer expansion. Hence, retaining existing customers is of paramount importance to a company's growth. Many authors in the past have presented different versions of models to predict customer churn using machine learning techniques. The aim of this paper is to study some of the most important machine learning techniques used by researchers in the recent years. The paper also summarizes the prediction techniques, datasets used and performance achieved in these studies for a deeper understanding of the domain. The analysis shows that although hybrid and ensemble methods have been widely successful in improving model performance, there is a need for well-defined guidelines on appropriate model evaluation measures. While most approaches used are quantitative in nature, there is lack of research that focuses on information-rich content in customer company interaction instances, like emails, phone calls or customer support chat records. The information presented in the paper will not only help to increase awareness in industry about emerging trends in machine learning algorithms used in churn prediction, but also help new or existing researchers position their research activity appropriately. 2021 IEEE. Creator An entity primarily responsible for making the resource De S.; Prabu P.; Paulose J. Source A related resource from which the described resource is derived Proceedings of the 3rd International Conference on Inventive Research in Computing Applications, ICIRCA 2021, pp. 895-902. 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/ICIRCA51532.2021.9544785" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIRCA51532.2021.9544785</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116941177&doi=10.1109%2FICIRCA51532.2021.9544785&partnerID=40&md5=5f6afd4ea9a86a891e926d03a9cae8d3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116941177&doi=10.1109%2fICIRCA51532.2021.9544785&partnerID=40&md5=5f6afd4ea9a86a891e926d03a9cae8d3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-073814627-0 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 De S., Christ (Deemed to Be University), Department of Computer Science, Bangalore, India; Prabu P., Christ (Deemed to Be University), Department of Computer Science, Bangalore, India; Paulose J., Christ (Deemed to Be University), Department of Computer Science, 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 Porous medium convection in a chemically reacting ferrofluid with lower boundary subjected to constant heat flux Description An account of the resource The effect of exothermic chemical reaction of zero-order on Bard-Darcy ferroconvection is investigated using the technique of small perturbation. The eigenvalues associated with an adiabatic lower wall are determined by employing the Galerkin method. The Darcy-Rayleigh number is computed in terms of the parameters pertaining to chemical reaction and ferromagnetic fluid. It is established that, when chemical reaction escalates, there is a considerable shift from linearity and occurrence of asymmetry in the basic temperature profiles. It is ascertained that the threshold of Bard-Darcy ferroconvection is augmented through the stresses of both mechanisms due to chemical reaction and magnetization, and the ferroconvective instability due to nonlinearity of magnetization is rather inconsequential when chemical reaction is present. It is also shown that the destabilizing feature of magnetic forces resulting from the fluid magnetization is less pronounced when chemical reaction is present. Published under licence by IOP Publishing Ltd. Creator An entity primarily responsible for making the resource Thomas N.M.; Maruthamanikandan 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/10.1088/1742-6596/1850/1/012015" target="_blank" rel="noreferrer noopener">https://doi.org/10.1088/1742-6596/1850/1/012015</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112661222&doi=10.1088%2F1742-6596%2F1850%2F1%2F012015&partnerID=40&md5=9284e76dd4b407e311559b6f8a4dfc6c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112661222&doi=10.1088%2f1742-6596%2f1850%2f1%2f012015&partnerID=40&md5=9284e76dd4b407e311559b6f8a4dfc6c</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 Thomas N.M., Department of Sciences and Humanities, School of Engineering and Technology, CHRIST, Deemed to Be University, Bengaluru, 560074, India; Maruthamanikandan S., Department of Mathematics, School of Engineering, Presidency University, Itgalpura, Yelahanka, Bengaluru, 560064, 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 Insurance Data Analysis with COGNITO: An Auto Analysing and Storytelling Python Library Subject The topic of the resource auto-analysis; automation; encoding; Feature engineering; NLP; pre-processing; problem solving; storytelling Description An account of the resource Data pre-processing has taken an enhanced role with the advent of Machine learning. It is a vital element that forms the encore of the data science and business analytics process. Data pre-processing involves generating descriptive statistical summary, data cleaning, and data manipulation based on inputs gained after the initial analysis. Of late, it has been observed that data science practitioners spend 45% to 50% of their time cleaning and processing the data. Much time can be saved if the data transformation process can be automated. The COGNITO framework helps in performing the automated feature engineering and data storytelling of the dataset based on end-user discretion. The present work discusses the process and results obtained when automated feature engineering was performed on an insurance dataset using COGNITO. 2021 IEEE. Creator An entity primarily responsible for making the resource Saxena A.; Bhagat V.V.; Robins B. Source A related resource from which the described resource is derived 2021 International Conference on Intelligent Technologies, CONIT 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/CONIT51480.2021.9498523" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CONIT51480.2021.9498523</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114889720&doi=10.1109%2FCONIT51480.2021.9498523&partnerID=40&md5=103312d41cb022a71288e7a360e6bfa9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114889720&doi=10.1109%2fCONIT51480.2021.9498523&partnerID=40&md5=103312d41cb022a71288e7a360e6bfa9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172818583-5 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 Saxena A., Christ University, Management Studies, Bangalore, India; Bhagat V.V., Christ University, Data Science, Bangalore, India; Robins B., Data Science Cleverinsight Inc., 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 Equalization of Finite-Alphabet MMSE for All-Digital Massive MU-MIMO mm-Wave Communication Subject The topic of the resource Antenna; MIMO; OFDM; Receiver; Transmitter Description An account of the resource For more than twenty years, growing the performance and efficiency of wireless communications systems using antenna arrays has been an active field of study. Wireless networks with multiple-input multiple-output are also part of the current norms and are implemented around the world. Access points or BSs with comparatively few antennas are used for standard MIMO systems, and the resulting increase in spectral efficiency was relatively modest. A Multiple-Input Multiple-Output platform's capacity is researched where the transmitter outputs are processed and quantified by a set of limit quantizes through an analogue linear combining network. The linear mixing weights and cutoff levels are chosen from with a collection of possible combinations as a function of the transmitted signal. Millimetre-wave networking requires optimum data transmission to various computers on same moment network in combination with large multi-user actually massive. In order to guarantee efficient data transmission, the heavy insertion loss of wave propagation at su ch a faster speed needs proper channel estimation. A new channel estimation algorithm called Beam space Channel Estimation is suggested. From a set of possible configurations, the capacity of a massive stream from which antennas signals are handled by an analog channel as a part of the channel matrix, linear mixture weights and frequency modulation levels are selected. Probable implementations of specific analogue receiver designs for the combined network model, such as smart antenna selection, sign antennas output thresholding or linear output processing. To demonstrate the effectiveness of BEACHES in service and have FPGA implementation results, we are developing VLSI architecture. Our results show that for large MU-MIMOs, mm-wave communications with hundreds of antennas, specially made denoising can be done at maximum bandwidth and in an equipment format. Published under licence by IOP Publishing Ltd. Creator An entity primarily responsible for making the resource Paulchamy B.; Chidambaram S.; Vairaprakash S.; Duraivel A.N. Source A related resource from which the described resource is derived Journal of Physics: Conference Series, Vol-1964, No. 6 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/10.1088/1742-6596/1964/6/062049" target="_blank" rel="noreferrer noopener">https://doi.org/10.1088/1742-6596/1964/6/062049</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111939564&doi=10.1088%2F1742-6596%2F1964%2F6%2F062049&partnerID=40&md5=ec20898d3fc24ea6df8b586e348f8856" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111939564&doi=10.1088%2f1742-6596%2f1964%2f6%2f062049&partnerID=40&md5=ec20898d3fc24ea6df8b586e348f8856</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 Electronics and Communication Engineering, Hindustan Institute of Technology, Tamil Nadu, Malumichampatti, India; Chidambaram S., Department of Electronics and Communication Engineering, Christ University, Bengaluru, Karnataka, India; Vairaprakash S., Department of Electronics and Communication Engineering, Kalasalingam Institute of Technology, Tamil Nadu, Krishnankoil, India; Duraivel A.N., Department of Electronics and Communication Engineering, King's Engineering College, Tamil Nadu, Sriperumbudur, 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 Cryptocurrency Security and Privacy Issues: A Research Perspective Subject The topic of the resource Bitcoin; Blockchain; cryptocurrency; Ethereum; Gold; Privacy; Security Description An account of the resource Cryptocurrency has developed as a new mode of money exchange since it has become easier, faster and safer. The first cryptocurrency was introduced in 2009 and since then, the growth rate of cryptocurrency has been increasing drastically. As of 2020, the cryptocurrency exchange all over the world has exceeded 300%. The researchers face many challenges during their research on the various cryptocurrencies. For example, most of the high-tech companies still do not support bitcoin on mobile platforms. High-tech companies like Google and Apple are also thinking into banning the bitcoin wallet from their app stores. The work provides a review of cryptocurrency and its types, scope on the investment plans and its advantages also discussed. The growth and comparison between bitcoins and gold is also discussed. The challenges researchers face and the security issues concerning it. This review provides an overview of how the different forms of cryptocurrency are increasing from over a decade. It explains the different types and the year in which they were invented. It also gives a brief comparison with respect to bitcoin, which is one of the most used cryptocurrency. Furthermore, it gives a brief explanation on investments, and schemes for those who are new in the cryptomarket. Later emphasizes on the security issues faced by this technology. It talks about proof of work and the different data attacks the software faced and how the issues were overcome. In the end, it talks about the challenges researchers face while researching cryptocurrency. 2021 IEEE. Creator An entity primarily responsible for making the resource Varghese H.M.; Nagoree D.A.; Anshu; Jayapandian N. Source A related resource from which the described resource is derived Proceedings of the 6th International Conference on Communication and Electronics Systems, ICCES 2021, pp. 902-907. 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/ICCES51350.2021.9489254" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCES51350.2021.9489254</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113798430&doi=10.1109%2FICCES51350.2021.9489254&partnerID=40&md5=5347118835a680425b8e01253057da9d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113798430&doi=10.1109%2fICCES51350.2021.9489254&partnerID=40&md5=5347118835a680425b8e01253057da9d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543587-1 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 Varghese H.M., Christ University, Department of Cse, Bangalore, India; Nagoree D.A., Christ University, Department of Cse, Bangalore, India; Anshu, Christ University, Department of Cse, Bangalore, India; Jayapandian N., Christ University, 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 Performance Analysis of Deep Learning Algorithms for Intrusion Detection in IoT Subject The topic of the resource convolution neural network; decision tree classifier; deep learning; deep neural network; IoT Description An account of the resource Due to the wide availability of IoT devices at affordable cost and the ease of use has increased IoT devices increased usage. Due to the enormous usage of the Internet of Things (IoT) devices, the security aspects related to the data are also a significant concern in this data-driven world. Negligence of security measures from users can result in severe data falsification or data thefts. In this scenario, the Intrusion Detection System has a pivotal role in IoT security. Incorporating the deep learning techniques is an effective way to predict various attacks, either known or unknown. This paper highlights the various security threats associated with IoT, the importance of deep learning in IoT intrusion detection, and various IoT intrusion detection systems using deep learning. Comparative analysis of the different deep learning techniques was performed. The results have shown Convolution Neural Networks gave high accuracy in prediction based on various evaluation metrics. 2021 IEEE. Creator An entity primarily responsible for making the resource Jose J.; Jose D.V. Source A related resource from which the described resource is derived ICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings 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/ICCISc52257.2021.9484979" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCISc52257.2021.9484979</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113320944&doi=10.1109%2FICCISc52257.2021.9484979&partnerID=40&md5=5dbbd8b51b8f56da45c86c9e9a79fc53" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113320944&doi=10.1109%2fICCISc52257.2021.9484979&partnerID=40&md5=5dbbd8b51b8f56da45c86c9e9a79fc53</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166541279-7 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 Jose J., CHRIST(Deemed to Be University), Dept. of Computer Science, Bangalore, India; Jose D.V., CHRIST(Deemed to Be University), Dept. of Computer Science, 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 Linear and non-linear magneto-convection in couple stress fluid with non-classical heat conduction law Description An account of the resource A theoretical examination of the thermal convection for a couple stress fluid which is electrically conductive and possessing significant thermal relaxation time with an externally applied magnetic field is carried out. Fourier's law fails when fluids are subjected to rapid heating or when it is confined and in the case of nano-devices. A frame invariant constitutive equation for heat flux is considered. The linear analysis is carried out implementing a normal mode solution and the non-linear stability of the system is analyzed using a double Fourier series. The analysis of the transfer of heat is determined in terms of the Nusselt number. Published under licence by IOP Publishing Ltd. Creator An entity primarily responsible for making the resource Thomas M.; Pranesh S.; Sangeetha George K. 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/10.1088/1742-6596/1850/1/012009" target="_blank" rel="noreferrer noopener">https://doi.org/10.1088/1742-6596/1850/1/012009</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112618802&doi=10.1088%2F1742-6596%2F1850%2F1%2F012009&partnerID=40&md5=8ae77e70d2ca157f068da5c17f74ea64" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112618802&doi=10.1088%2f1742-6596%2f1850%2f1%2f012009&partnerID=40&md5=8ae77e70d2ca157f068da5c17f74ea64</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 Thomas M., Department of Mathematics, CHRIST, Deemed to Be University, Bengaluru, Karnataka, India; Pranesh S., Department of Mathematics, CHRIST, Deemed to Be University, Bengaluru, Karnataka, India; Sangeetha George K., Department of Science, Christ Academy Institute for Advanced Studies, 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 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 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 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 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 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 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 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 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