536 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 A Comparative Study on Indian Sign Language Representation Subject The topic of the resource continuous sign language; Indian sign language; isolated sign language; sign language recognition system Description An account of the resource Communication among people can happen with the help of verbal or nonverbal language. Nonverbal communication is shared only among the hearing and speech impaired and is not common among others. Non-verbal communication is also different for different countries around the world. A solution to remove the gap between verbal and non-verbal communicators is to create an automated language translation model that can effortlessly convert sign language to text or audio. This area has been under research for a long time, but an economical and robust system that can efficiently convert signs into speech still does not exist. This paper focuses on different approaches that were put forward to turn Indian sign language into audio signals. The Sign Language Recognition (SLR) system is classified as isolated and continuous sign language models based on its input. 2021 IEEE. Creator An entity primarily responsible for making the resource Amrutha K.; Prabu P. Source A related resource from which the described resource is derived 2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation, ICAECA 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/ICAECA52838.2021.9675678" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAECA52838.2021.9675678</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125007329&doi=10.1109%2FICAECA52838.2021.9675678&partnerID=40&md5=dea4cd7784fceb333711694dc44108d2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125007329&doi=10.1109%2fICAECA52838.2021.9675678&partnerID=40&md5=dea4cd7784fceb333711694dc44108d2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166542829-3 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 Amrutha K., CHRIST(Deemed to Be University), Dept. of Computer Science, Bangalore, India; Prabu P., 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 An AI Approach to Pose-based Sports Activity Classification Subject The topic of the resource Activity; Classification; Keypoints; Pose estimation; Sports; Tennis Description An account of the resource Artificial intelligence systems have permeated into all spheres of our life-impacting everything from our food habits to our sleep patterns. One untouched area where such intelligent systems are still in their infancy is sports. There has not been enough indulgence of AI techniques in sports, and most of the works are carried on manually by coaching staff and human appointees. We believe that intelligent systems can make coaching staff's work easier and produce findings that the human eye can often overlook. Here, we have proposed an intelligent system to analyze the beautiful game of tennis. With the use of computer vision architecture Detectron2 and activity-based pose estimation and subsequent classification, it can identify an action from a tennis shot (activity). It can produce a performance score for the player based on pose and movement like forehand and backhand. It can also be used to understand and evaluate the strengths and weaknesses of the player. The proposed approach provides a piece of valuable information for a player's performance and activity detection to be used for better coaching. The study achieves a classification accuracy of 98.60% and outperforms other SOTA CNN models. 2021 IEEE Creator An entity primarily responsible for making the resource Chatterjee R.; Roy S.; Islam S.K.H.; Samanta D. Source A related resource from which the described resource is derived Proceedings of the 8th International Conference on Signal Processing and Integrated Networks, SPIN 2021, pp. 156-161. 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/SPIN52536.2021.9565996" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SPIN52536.2021.9565996</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126263655&doi=10.1109%2FSPIN52536.2021.9565996&partnerID=40&md5=79c9be52ddde059adab0b4b0f187e2f2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126263655&doi=10.1109%2fSPIN52536.2021.9565996&partnerID=40&md5=79c9be52ddde059adab0b4b0f187e2f2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543564-2 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 Chatterjee R., School of Computer Engineering, KIIT Deemed to be University, Odisha, Bhubaneswar, 751024, India; Roy S., School of Computer Engineering, KIIT Deemed to be University, Odisha, Bhubaneswar, 751024, India; Islam S.K.H., Department of Computer Science and Engineering, Indian Institute of Information Technology Kalyani, West Bengal, Kalyani, 741235, India; Samanta D., Department of Computer Science, CHRIST Deemed to be University, Hosur Road, Karnataka, Bengaluru, 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 An Automated Deep Learning Model for Detecting Sarcastic Comments Subject The topic of the resource deep learning; interpretability; machine learning; sarcasm detection; self-attention; social media analysis; social media data Description An account of the resource The concept of Natural Language Processing is immensely vast with a wide range of fields in which ideas can be explored and innovations can be developed. An algorithm based on deep learning is used to detect sarcasm in text in this paper. It is usually only possible to detect sarcasm through speech and very rarely through text. 1.3 million comments from Reddit were analyzed, of which half were sarcastic and half were not, and then various deep learning models were applied, such as standard neural networks, CNNs, and LSTM RNNs. The best performing model was LSTM-RNNs, followed by CNNs, and standard neural networks came last. With textual data, it is much harder to understand whether the other person is being sarcastic or not, it can only be understood by listening to their tone of voice or looking at their behaviour. The purpose of this paper is to demonstrate how to detect sarcasm in textual data using deep learning models. 2021 IEEE. Creator An entity primarily responsible for making the resource Jose J.; Preethi N. Source A related resource from which the described resource is derived 2021 IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 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/ICMNWC52512.2021.9688410" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICMNWC52512.2021.9688410</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125729687&doi=10.1109%2FICMNWC52512.2021.9688410&partnerID=40&md5=e81955d1e9fc781ee63a8ee023a40d35" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125729687&doi=10.1109%2fICMNWC52512.2021.9688410&partnerID=40&md5=e81955d1e9fc781ee63a8ee023a40d35</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-073814637-9 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 Jose J., CHRIST University, Department of Data Science, Maharashtra, Pune, India; Preethi N., CHRIST University, Department of Data Science, Maharashtra, 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 Optical Character Recognition (OCR) based Vehicle's License Plate Recognition System Using Python and OpenCV Subject The topic of the resource Computer vision; Image processing; License plate; Optical Character Recognition (OCR); Python programming Description An account of the resource License Platform Detection is a computer technology that enables us to identify digital images on the platform automatically. Different operations are covered in this system, such as imaging, number pad locations, alphanumeric character truncation and OCR. The final objective of the system is to construct and create efficient image processing procedures and techniques to position a licensing platter on the Open Computer View Library picture. It was used and implemented the K-NN algorithm and python programming language. The technology can be used in different industries such as security, highway speed detection, lighting violations, manuscript documents, automatic charging system, etc. Auto plate recognition is an integrated technology which identifies the auto licence plate. Auto plate auto recognition. Multiple applications include complex safety systems, public spaces, parking and urban traffic control. Automatic Vehicle License Plate Recognition (AVLPR) has undesirable aspects because of many effects, such as light and speed. This work presents an alternative technique to leverage free software for the implementation of AVLPR systems including Python and the Open Computer Vision (openCV). 2021 IEEE. Creator An entity primarily responsible for making the resource Samantaray M.; Biswal A.K.; Singh D.; Samanta D.; Karuppiah M.; Joseph N.P. Source A related resource from which the described resource is derived Proceedings of the 5th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2021, pp. 849-853. 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/ICECA52323.2021.9676015" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICECA52323.2021.9676015</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125402457&doi=10.1109%2FICECA52323.2021.9676015&partnerID=40&md5=8b4fb5fa48a452feedcab4da0f545080" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125402457&doi=10.1109%2fICECA52323.2021.9676015&partnerID=40&md5=8b4fb5fa48a452feedcab4da0f545080</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543524-6 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 Samantaray M., Udayanath (Auto) College of Sc. Tech., Dept. of ITM, Odisha, India; Biswal A.K., Siksha 'o' Anusandhan University, Dept.of CSE, Odisha, India; Singh D., Siksha 'o' Anusandhan University, Dept.of CSE, Odisha, India; Samanta D., Siksha 'o' Anusandhan University, Dept. of CA, Odisha, India; Karuppiah M., SRM Institute of Science and Technology, Department of CSE, Ghaziabad, India; Joseph N.P., CHRIST 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 Enhanced Energy Efficient Routing for Wireless Sensor Network Using Extended Power Efficient Gathering in Sensor Information Systems (E-PEGASIS) Protocol Subject The topic of the resource E-PEGASIS; Energy efficient routing; LEACH; PEGASIS; Wireless Sensor Networks Description An account of the resource Recent technological advancement in wireless communication and sensors made Wireless Sensor Networks (WSNs) as one of the demanding platforms in the current scenario. In WSN, tiny sensor nodes are collecting and monitoring the biological data or physical data or environmental data and transmitted to the base station (BS) through gateway routers. These data can be accessed anywhere and anytime. Usually sensor nodes have restrained battery power which creates the rigorous lifetime duration issues in WSN. Sensor nodes can communicate with each other using various routing protocols. Data transmission devours more amounts of energy and power. So, energy preservation is an important factor in WSN. There are plenty of researches going on in designing less energy consuming protocols for data transmission which helps to increase the lifetime of WSN. In this paper we have proposed Extended Power Efficient Gathering in Sensor Information Systems (E-PEGASIS) protocol for enhanced energy efficient data transmission based on PEGASIS protocol. In this proposed method average distance between the sensor nodes are considered as the criterion for chaining and fix the outermost node's radio range value the base station. Later it chains the related nodes available in the radio range. Consequently, the chained node checks their distance with the next nearest end node to go on with the chaining procedure which will enhance the performance of data transmission between the sensor node and the base station. The simulation of the proposed work shows that lifetime of the network is increased when comparing to the LEACH and PEGASIS protocol. 2021 The Authors. Published by Elsevier B.V. Creator An entity primarily responsible for making the resource Sadhana S.; Sivaraman E.; Daniel D. Source A related resource from which the described resource is derived Procedia Computer Science, Vol-194, pp. 89-101. Publisher An entity responsible for making the resource available Elsevier B.V. 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.procs.2021.10.062" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.procs.2021.10.062</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121778596&doi=10.1016%2Fj.procs.2021.10.062&partnerID=40&md5=f2da3288aea63661266b0c1720e426a7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121778596&doi=10.1016%2fj.procs.2021.10.062&partnerID=40&md5=f2da3288aea63661266b0c1720e426a7</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 18770509 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 Sadhana S., Department of Computer Science and Engineering, KalaignarKarunanidhi Institute of Technology, Coimbatore, India; Sivaraman E., Department of Computer Science and Engineering, PES University, Bangalore, India; Daniel D., Department of Computer Science and Engineering, 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 Oppositional Glowworm Swarm based Vector Quantization Technique for Image Compression in Fiber Optic Communication Subject The topic of the resource Image compression; LBG; Optic fiber communication; Optical networks; Vector quantization Description An account of the resource In recent times, fiber optic communication networks have become commonly applied for commercial as well as military applications. Fiber optic networks have gained popularity owing to the high data rate. At the same time, the generation of huge quantity of data at a faster rate poses a major challenge in the storing and transmission process. To resolve this issue, data compression approaches have been presented to reduce the quantity of transmitted data and thereby minimizes bandwidth utilization and memory. Vector quantization (VQ) is a commonly employed image compression technique and Linde Buzo Gray (LBG) is used to construct an optimum codebook to compress images. With this motivation, this paper presents a new oppositional glowworm swarm optimization based LBG (OGSO-LBG) technique for image compression in fiber optic communication. The OGSO algorithm involves the integration of oppositional based learning (OBL) concept into the GSO algorithm to boost its convergence rate. The OGSO-LBG algorithm produces the codebook at a faster rate with minimal computation complexity. In order to highlight the enhanced compression performance of the OGSO-LBG technique, a series of experiments were carried out and the results are examined under different dimensions. 2021 IEEE Creator An entity primarily responsible for making the resource Alapatt B.P.; Philip F.M.; Jims A. Source A related resource from which the described resource is derived ACCESS 2021 - Proceedings of 2021 2nd International Conference on Advances in Computing, Communication, Embedded and Secure Systems, pp. 198-205. 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/ACCESS51619.2021.9563298" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCESS51619.2021.9563298</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126188156&doi=10.1109%2FACCESS51619.2021.9563298&partnerID=40&md5=3867d91bdca0611558286a5987293e33" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126188156&doi=10.1109%2fACCESS51619.2021.9563298&partnerID=40&md5=3867d91bdca0611558286a5987293e33</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172817136-4 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 Alapatt B.P., Computer Science Department, CHRIST (Deemed to be University) Delhi NCR, India; Philip F.M., CS and IT Department, JAIN (Deemed-to-be University), Kochi, India; Jims A., CS and IT Department, JAIN (Deemed-to-be University), Kochi, 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 Two-Pass Hybrid Mean and Median Framework for Eliminating Impulse Noise From a Grayscale Image Subject The topic of the resource Image Noise Cancellation; Image processing; Image Restoration; Salt and Pepper Noise; Visual quality Description An account of the resource In a digital era, Image recuperation plays a vital role in the area of digital image processing. Image instauration offers more visualization on the quality of the image thereby eliminating noise. Elimination of Gaussian and impulse noise is a challenging problem in the area of image restoration. Rigorous research is pursued to restore salt-and-pepper (SAP) noise utilizing spatial filters. Mean and Median are two contributing spatial filters for eliminating impulse noise. This paper applies a two-pass hybrid mean and median framework on a corrupted grayscale image to replace salt and pepper noise. The hybrid framework is effectively restoring the image by abstracting the low, medium, and high-density impulse noise. The efficacy of the recommended strategy is evaluated by quantifying the peak signal to noise ratio and structural similarity index metric. The result obtained when compared with recent recuperation strategies outperforms to remove noise from grayscale images. 2021 IEEE Creator An entity primarily responsible for making the resource Shiju Thomas M.Y.; Krishna A.V.N. Source A related resource from which the described resource is derived ACCESS 2021 - Proceedings of 2021 2nd International Conference on Advances in Computing, Communication, Embedded and Secure Systems, pp. 206-210. 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/ACCESS51619.2021.9563285" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCESS51619.2021.9563285</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126264458&doi=10.1109%2FACCESS51619.2021.9563285&partnerID=40&md5=70fe12740afbbfdd912b2f5f8253ef8b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126264458&doi=10.1109%2fACCESS51619.2021.9563285&partnerID=40&md5=70fe12740afbbfdd912b2f5f8253ef8b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172817136-4 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 Shiju Thomas M.Y., Department of Computer Science and Engineering, School of Engineering and Technology Christ (Deemed to be) University, Karnataka, Bangalore, India; Krishna A.V.N., Department of Computer Science and Engineering, School of Engineering and Technology 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 Impact of Machine Learning Algorithms in Intrusion Detection Systems for Internet of Things Subject The topic of the resource Internet of Things; Intrusion Detection System; Machine Learning Description An account of the resource The importance of security aspects is increased recently due to the enormous usage of IoT devices. Securing the system from all sorts of vulnerabilities is inevitable to use IoT applications. Intrusion detection systems are power mechanism which provides this service. The introduction of artificial intelligence into intrusion detection systems can further enhance its power. This paper is an attempt to understand the impact of machine learning algorithms in attack detection. Using the UNSW-NB 15 dataset, the impact of different machine learning algorithms is assessed. 2021 IEEE. Creator An entity primarily responsible for making the resource Jose J.; Jose D.V.; Rao K.S.; Janz J. Source A related resource from which the described resource is derived 10th International Conference on Advances in Computing and Communications, ICACC 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/ICACC-202152719.2021.9708404" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACC-202152719.2021.9708404</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125809707&doi=10.1109%2FICACC-202152719.2021.9708404&partnerID=40&md5=f38ffee2033a770cc0550b34b6c1f8d8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125809707&doi=10.1109%2fICACC-202152719.2021.9708404&partnerID=40&md5=f38ffee2033a770cc0550b34b6c1f8d8</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543919-0 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 Jose J., CHRIST University, Department of Computer Science, Bangalore, India; Jose D.V., CHRIST University, Department of Computer Science, Bangalore, India; Rao K.S., CHRIST University, Department of Computer Science, Bangalore, India; Janz J., CHRIST 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 An Approach for Detecting Frauds in E-Commerce Transactions using Machine Learning Techniques Subject The topic of the resource Credit card; Decision Tree(DT); Fraud detection; Frauds; K-Nearest Neighbor; Logistic regression; Random Forest(RF); Supervised machine learning algorithm; Support Vector Machine(SVM) Description An account of the resource This paper is primarily focused on E-commerce fraud detection using machine learning techniques. There are many different ways to detect E-commerce fraud using machine learning approach. In this work, comparison study is conducted between various available machine learning algorithms to detect the online frauds. During the comparative study, focus is underlined on comparison of all the algorithms to identify the fraud transactions. When compared to other algorithms, such as support vector machine, Decision Tree, K-nearest neighbour and Random Forest, it has been observed that Logistic regression gives better result among all machine learning algorithms. 2021 IEEE. Creator An entity primarily responsible for making the resource Abhirami K.; Pani A.K.; Manohar M.; Kumar P. Source A related resource from which the described resource is derived Proceedings - 2nd International Conference on Smart Electronics and Communication, ICOSEC 2021, pp. 826-831. 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/ICOSEC51865.2021.9591720" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICOSEC51865.2021.9591720</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123181008&doi=10.1109%2FICOSEC51865.2021.9591720&partnerID=40&md5=482e6b5af6f82f2708ea42139331d2d4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123181008&doi=10.1109%2fICOSEC51865.2021.9591720&partnerID=40&md5=482e6b5af6f82f2708ea42139331d2d4</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543368-6 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 Abhirami K., School of Engineering and Technology Christ(Deemed To Be University), Department of Computer Science and Engineering, Bangalore, India; Pani A.K., School of Engineering and Technology Christ(Deemed To Be University), Department of Computer Science and Engineering, Bangalore, India; Manohar M., School of Engineering and Technology Christ(Deemed To Be University), Department of Computer Science and Engineering, Bangalore, India; Kumar P., Motihari College of Engineering, Department of Computer Science and Engineering, Bihar, Motihari, 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 Model Selection Procedure in Alleviating Drawbacks of the Electronic Whiteboard Subject The topic of the resource Deep Learning; Electronic Whiteboard; Learning; Machine Learning; Transfer Learning Description An account of the resource Deep learning has paved the way for critical and revolutionary applications in almost every field of life in general. Ranging from engineering to healthcare, machine learning and deep learning has left its mark as the state-of-the-art technology application which holds the epitome of a reasonable high benchmarked solution. Incorporating neural network architectures into applications has become a common part of any software development process. In this paper, we perform a comparative analysis on the different transfer learning approaches in the domain of hand-written digit recognition. We use two performance measures, loss and accuracy. We later visualize the different results for the training and validation datasets and reach to a unison conclusion. This paper aims to target the drawbacks of the electronic whiteboard with simultaneous focus on the suitable model selection procedure for the digit recognition problem. 2021 IEEE. Creator An entity primarily responsible for making the resource Jha S. Source A related resource from which the described resource is derived Proceedings - 2021 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021, pp. 319-322. 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/ICAC3N53548.2021.9725365" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N53548.2021.9725365</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126950039&doi=10.1109%2FICAC3N53548.2021.9725365&partnerID=40&md5=188fcf6cef14359fc2cd6d8370de48d8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126950039&doi=10.1109%2fICAC3N53548.2021.9725365&partnerID=40&md5=188fcf6cef14359fc2cd6d8370de48d8</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543811-7 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 Jha S., Christ University, School of Science, New 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 Human Body Pose Estimation and Applications Subject The topic of the resource 2D pose estimation; 3D pose estimation; Body modelling; Holistic Pipeline estimation; MediaPipe; Sign language recognition Description An account of the resource Human Pose Estimation is one of the challenging yet broadly researched areas. Pose estimation is required in applications that include human activity detection, fall detection, motion capture in AR/VR, etc. Nevertheless, images and videos are required for every application that captures images using a standard RGB camera, without any external devices. This paper presents a real-time approach for sign language detection and recognition in videos using the Holistic pose estimation method of MediaPipe. This Holistic framework detects the movements of multiple modalities-facial expression, hand gesture and body pose, which is the best for the sign language recognition model. The experiment conducted includes five different signers, signing ten distinct words in a natural background. Two signs, 'blank' and 'sad, ' were best recognized by the model. 2021 IEEE. Creator An entity primarily responsible for making the resource Amrutha K.; Prabu P.; Paulose J. Source A related resource from which the described resource is derived 3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies, i-PACT 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/i-PACT52855.2021.9696513" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/i-PACT52855.2021.9696513</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126453325&doi=10.1109%2Fi-PACT52855.2021.9696513&partnerID=40&md5=d7ea29ab5d02bdae574b893dd4d1c6fe" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126453325&doi=10.1109%2fi-PACT52855.2021.9696513&partnerID=40&md5=d7ea29ab5d02bdae574b893dd4d1c6fe</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166542691-6 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 Amrutha K., CHRIST (Deemed to Be University), Dept. of Computer Science, Bengaluru, India; Prabu P., CHRIST (Deemed to Be University), Dept. of Computer Science, Bengaluru, India; Paulose J., CHRIST (Deemed to Be University), Dept. of Computer Science, 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 Impacts of Cloud Computing in Digital Marketing Subject The topic of the resource Benefits; Cloud Computing; Data Security; Digital Marketing; Integration Description An account of the resource In modern day of digital marketing the cloud computing is proving extremely beneficial links for businesses. Moreover, it's characteristic to access the stored data from anywhere makes it more popular among the entrepreneurs. The present paper is an exploration of the cloud computing in respect of digital marketing. The paper defines and correlates the term cloud computing, digital marketing, as well as also elaborates about benefits that can be harvested by the integration of cloud computing in digital marketing strategy. 2021 IEEE. Creator An entity primarily responsible for making the resource Vatsa M.; Rastogi S.; Tiwari A.; Jain S. Source A related resource from which the described resource is derived Proceedings of the 5th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2021, pp. 1170-1174. 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/ICECA52323.2021.9676043" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICECA52323.2021.9676043</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125418121&doi=10.1109%2FICECA52323.2021.9676043&partnerID=40&md5=d2b987cc749df510a1b41e33a5df22ec" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125418121&doi=10.1109%2fICECA52323.2021.9676043&partnerID=40&md5=d2b987cc749df510a1b41e33a5df22ec</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543524-6 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 Vatsa M., School of Business Studies, Sharda University, Greater Noida, India; Rastogi S., CHRIST (Deemed to Be University), Department of Commerce, India; Tiwari A., CHRIST (Deemed to Be University), Department of Commerce, India; Jain S., Information Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, Chennai, 603203, 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 of Channel Estimation Mechanisms in Wireless Communication Networks Subject The topic of the resource Channel estimation; MIMO-OFDM; Wireless network Description An account of the resource The fluctuating nature of wireless networks influences network performance. Estimation of channel condition is essential for many reasons. The accurate estimation and prediction help to improve the performance, like better rate adaptation in Wi-Fi, improved video streaming, reduce energy consumption, and better scheduling. There are many different approaches introduced past two decades. In this paper, we are focusing on providing a brief review of different channel estimation approaches and their importance in improving performance. 2021 IEEE. Creator An entity primarily responsible for making the resource Smera C.; Sandeep J. Source A related resource from which the described resource is derived Proceedings of the 5th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2021, pp. 603-608. 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/ICECA52323.2021.9675993" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICECA52323.2021.9675993</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125395285&doi=10.1109%2FICECA52323.2021.9675993&partnerID=40&md5=062b292879249fb0cb17b7c08257f590" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125395285&doi=10.1109%2fICECA52323.2021.9675993&partnerID=40&md5=062b292879249fb0cb17b7c08257f590</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543524-6 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 Smera C., CHRIST(Deemed to Be University), Department of Computer Science, Bengaluru, India; Sandeep J., CHRIST(Deemed to Be University), Department of Computer Science, 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 AI-based Power Screening Solution for SARS-CoV2 Infection: A Sociodemographic Survey and COVID-19 Cough Detector Subject The topic of the resource Artificial Intelligence; Coronavirus (SARS -CoV2); Machine Learning; Pathomorphological Variations; Power Screening Solutions Description An account of the resource Globally, the confirmed coronavirus (SARS-CoV2) cases are being increasing day by day. Coronavirus (COVID-19) causes an acute infection in the respiratory tract that started spreading in late 2019. Huge datasets of SARS-CoV2 patients can be incorporated and analyzed by machine learning strategies for understanding the pattern of pathological spread and helps to analyze the accuracy and speed of novel therapeutic methodologies, also detect the susceptible people depends on their physiological and genetic aspects. To identify the possible cases faster and rapidly, we propose the Artificial Intelligence (AI) power screening solution for SARS- CoV2 infection that can be deployable through the mobile application. It collects the details of the travel history, symptoms, common signs, gender, age and diagnosis of the cough sound. To examine the sharpness of pathomorphological variations in respiratory tracts induced by SARS-CoV2, that compared to other respiratory illnesses to address this issue. To overcome the shortage of SARS-CoV2 datasets, we apply the transfer learning technique. Multipronged mediator for risk-averse Artificial Intelligence Architecture is induced for minimizing the false diagnosis of risk-stemming from the problem of complex dimensionality. This proposed application provides early detection and prior screening for SARS-CoV2 cases. Huge data points can be processed through AI framework that can examine the users and classify them into "Probably COVID", "Probably not COVID"and "Result indeterminate". 2021 The Authors. Published by Elsevier B.V. Creator An entity primarily responsible for making the resource Sadhana S.; Pandiarajan S.; Sivaraman E.; Daniel D. Source A related resource from which the described resource is derived Procedia Computer Science, Vol-194, pp. 255-271. Publisher An entity responsible for making the resource available Elsevier B.V. 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.procs.2021.10.081" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.procs.2021.10.081</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121772522&doi=10.1016%2Fj.procs.2021.10.081&partnerID=40&md5=7bb8e43b57bea0d97f5613e9546f8298" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121772522&doi=10.1016%2fj.procs.2021.10.081&partnerID=40&md5=7bb8e43b57bea0d97f5613e9546f8298</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 18770509 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 Sadhana S., Department of CSE, Kalaignarkarunanidhi Institute of Technology, Coimbatore, India; Pandiarajan S., Department of CSE, Kalaignarkarunanidhi Institute of Technology, Coimbatore, India; Sivaraman E., Department of CSE, PES University, Bangalore, India; Daniel D., Department of CSE, 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 A Comparative Study of LGMB-SVR Hybrid Machine Learning Model for Rainfall Prediction Subject The topic of the resource Light Gradient Boosting Model; Machine Learning; Rainfall prediction; Support Vector Regression Description An account of the resource Weather forecasting is a critical factor in deter mining the crop production and harvest of any geographical location. Among various other factors, rainfall is a crucial determining component in the sowing and harvesting of crops. The aim and intent of this paper is to analyze various machine learning algorithms like LightGBM and SVR, and develop a hybrid model using LightGBM and SVR to accurately predict rainfall The hybrid model implements both LightGBM and SVR on a preprocessed dataset and then combines the predicted values of the results through an ensemble model which considers the average of these values based on a predefined weight. The weight of the model is determined by considering various combinations, and the result with the least error is taken into consideration for that particular dataset. The study shows that the hybrid model performed better than LightGBM and SVR individually, and produced the least root mean square error yielding a more accurate prediction of rainfall. 2021 IEEE. Creator An entity primarily responsible for making the resource Maliyeckel M.B.; Naveen J.; Chaitlianya Sai B. Source A related resource from which the described resource is derived 2021 12th International Conference on Computing Communication and Networking Technologies, ICCCNT 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/ICCCNT51525.2021.9579628" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCCNT51525.2021.9579628</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126191179&doi=10.1109%2FICCCNT51525.2021.9579628&partnerID=40&md5=9693bc447001de313214a1eb334f19e5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126191179&doi=10.1109%2fICCCNT51525.2021.9579628&partnerID=40&md5=9693bc447001de313214a1eb334f19e5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172818595-8 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 Maliyeckel M.B., Department of Computer Science & Engineering, School of Engineering and Technology Christ (Deemed to be University), Bengaluru, India; Naveen J., Department of Computer Science & Engineering, School of Engineering and Technology Christ (Deemed to be University), Bengaluru, India; Chaitlianya Sai B., Department of Computer Science & Engineering, School of Engineering and Technology Christ (Deemed to be University), 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 Scrutiny In-Utero to recognize Fetal Brain MRI Anomalies Subject The topic of the resource corpus callosum; fetal brain abnormalities; Fetal MRI; morbidly adherent placenta (MAP); MRI(Magnetic Resonance Imaging; Posterior fossa; US (Ultrasound); utero MRI (iuMRI); ventriculomegaly Description An account of the resource In utero MRI distinguishes fbrain irregularities high precisely compared to ultrasonography as well as gives extra medical data during the pregnancies. fMRI is medically performed to get the knowledge of the brain in conditions where the inconsistency are perceived with the help of pre-birth sonography. These are common regularly solidify ventriculomegaly, not regular of the corpus callosum, and oddities of the back fossa. Fbrain inconsistencies can cause authentic brain hurt. Therefore, it is vital to recognize them from the get-go in their course so treatment can be managed to the mother, if conceivable. The job of imaging is to decide the presence, assuming any, and the degree of brain harm in the contaminated hatchling. Even though MRI is most generally utilized as a subordinate to sonography when clinical doubt is high in the setting of a typical ultrasound or to all the more likely characterize irregularities recognized by ultrasound, MRI is regularly utilized in toxoplasmosis seroconversion to conclusively preclude brain injuries, in any event, when the ultrasound examination is viewed as ordinary. X-ray is likewise utilized sequentially all through the pregnancy to check for the improvement of brain anomalies; clinical treatment brings about the astounding clinical result if the brain is typical. Intracranial irregularities are ordinarily speculated discoveries on antenatal US that are needed for assessment which is used by MRI. This audit portrays numerous irregularities imaged as a way to direct clinicians' inappropriate determination. 2021 IEEE. Creator An entity primarily responsible for making the resource Durgadevi P.; Vijayalakshmi S.; Sabbharwal M. Source A related resource from which the described resource is derived Proceedings - 2021 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021, pp. 1799-1805. 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/ICAC3N53548.2021.9725570" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N53548.2021.9725570</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126959138&doi=10.1109%2FICAC3N53548.2021.9725570&partnerID=40&md5=10d3d98d385175474babca3e7bf0a462" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126959138&doi=10.1109%2fICAC3N53548.2021.9725570&partnerID=40&md5=10d3d98d385175474babca3e7bf0a462</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543811-7 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 Durgadevi P., Galgotias University, School of Computing Science and Engineering, India, Computer Science and Engineering, Galgotias College of Engineering and Technology, India; Vijayalakshmi S., Christ University, Department of Data Science, India; Sabbharwal M., Galgotias University, School of Computing Science and Engineering, 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 MuLSA-Multi Linguistic Sentimental Analyzer for Kannada and Malayalam using Deep Learning Subject The topic of the resource LSTM; Natural language Processing; RNN; Sentiment Analysis Description An account of the resource Natural language Processing has been always a topic of interest in artificial intelligence. Opinion mining or Sentiment Analysis is an important application of Natural language Processing. Sentiment Analysis of text is to extract the sentiments underlined in the text. In this paper, a multi-linguistic sentimental analyzer (MuLSA), is implemented, a model that would address Malayalam, Kannada and English text. This model explores two languages in three categories of the text, its original script, transliterated script, and the combination of both along with English. Deep Learning, Recurrent Neural Network with LSTM is used as the basis for this model. The model exhibits 82% of prediction accuracy. 2021 IEEE. Creator An entity primarily responsible for making the resource Thomas M.; Ca L. Source A related resource from which the described resource is derived Proceedings of the 2021 2nd International Conference on Communication, Computing and Industry 4.0, C2I4 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/C2I454156.2021.9689301" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/C2I454156.2021.9689301</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125108165&doi=10.1109%2FC2I454156.2021.9689301&partnerID=40&md5=501b45006e609d7cda2949d4e91b4476" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125108165&doi=10.1109%2fC2I454156.2021.9689301&partnerID=40&md5=501b45006e609d7cda2949d4e91b4476</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166542013-6 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., CHRIST (Deemed to Be University), Department of CSE, India; Ca L., RVITM, Visvesvaraya Technological University, 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 Approaches Towards A Recommendation Engine for Life Insurance Products Subject The topic of the resource Clustering; Insurance; Predictive Modelling; recommendations Description An account of the resource Recommender engines are powerful tools in today's world to overcome the problem of over choice. As the world is moving towards information overload, the life insurance industry is no more immune than any other domain. Three broad categories of life insurance plans are namely - Endowment, Term and ULIP. This paper discusses a variety of ML models that aim to classify the right fit product category for a new customer (extendable to existing customers) on a real-time life insurance company dataset. The dataset used for the modelling were of 2 kinds. The first kind contained features of customer demographics - age, location, education and occupation. The second dataset included these customer demographics as well as the bureau information of the respective customers which included multiple features describing their credit history. By the means of clustering, collaborative filtering approaches were tried on. Also, the problem was tackled using predictive modelling techniques such as Random Forest, Decision Trees and XGBoost. 2021 IEEE. Creator An entity primarily responsible for making the resource Vij A.; Preethi N. Source A related resource from which the described resource is derived 2021 IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 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/ICMNWC52512.2021.9688436" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICMNWC52512.2021.9688436</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125729619&doi=10.1109%2FICMNWC52512.2021.9688436&partnerID=40&md5=2969a91134c6e49ae33a4767c9c8c270" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125729619&doi=10.1109%2fICMNWC52512.2021.9688436&partnerID=40&md5=2969a91134c6e49ae33a4767c9c8c270</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-073814637-9 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 Vij A., CHRIST University, India; Preethi N., CHRIST University, 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 Towards various applications of Big Data and related issues and challenges Subject The topic of the resource Big data; Big data applications; challenges; Problems Description An account of the resource A new trend in feature abstraction is Big Data Analysis combined with computational techniques. This includes gathering knowledge from reputable data sources, analyzing information quickly, and forecasting the future. Big data entails vast amounts of data that are challenging to analyze using typical database and software approaches. When using big data applications, a technological hurdle arises when transporting data across several locations, which is quite expensive and necessitates a huge primary memory for storing data for processing. Big data refers to the transaction and interaction of datasets whose size and complexity transcend the usual technical capabilities of acquiring, organizing, and processing data in a cloud environment. This article provides an in depth study of various applications of big data. It also provides a detailed view on various problems and challenges in Big Data. 2021 IEEE. Creator An entity primarily responsible for making the resource Rajendran R.; Paruchuri H.; Ayub Ahmed A.A.; Ganapathy A.; Vadlamudi S.; Naved M. Source A related resource from which the described resource is derived Proceedings of the 5th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2021, pp. 1361-1365. 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/ICECA52323.2021.9675990" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICECA52323.2021.9675990</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125398165&doi=10.1109%2FICECA52323.2021.9675990&partnerID=40&md5=eb8dbcd800090ba0d182f5c9e3265f0c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125398165&doi=10.1109%2fICECA52323.2021.9675990&partnerID=40&md5=eb8dbcd800090ba0d182f5c9e3265f0c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543524-6 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 Rajendran R., CHRIST (Deemed to Be) University, Department of Professional Studies, India; Paruchuri H., Anthem, Inc., United States; Ayub Ahmed A.A., School of Accounting, Jiujiang University, China; Ganapathy A., Adobe Systems, California, United States; Vadlamudi S., Xandr, ATT Services Inc., United States; Naved M., Jagannath University, Department of Business Analytics, Delhi-NCR, 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 On Improving Quality of Experience of 4G Mobile Networks A Slack Based Approach Subject The topic of the resource 4G mobile networks; Data Envelopment Analysis; Slack Based Measure Description An account of the resource This paper analyses Indias four top 4G Mobile network Providers with respect to five key user experience metrics Video, Games, Voice app, Download speed and Upload speed. Results using Data Envelopment Analysis show Airtel and Vodafone-Idea performing with maximum relative efficiency with respect to these metrics, while BSNL and Jio closely follow them. Further analysis using the Slack Based Measure shows where and by how much BSNL and Jio need to improve to perform at par with Airtel and Vodafone-Idea. On certain variables, for instance Voice app, BSNL and Jio perform well, with no need for improvement. On the contrary, for Upload and Download speed experiences, both BSNL and Jio lag. For Video and Games, there is still scope for improvement, although both these players are reasonable in their performance. Thus, this analysis provides an accurate and optimal benchmark for each variable whose user experience has been evaluated. 2021, Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Gracia S; Soundarabai P.B.; Raj P. Source A related resource from which the described resource is derived Communications in Computer and Information Science, Vol-1483, pp. 129-141. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-3-030-91244-4_11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-91244-4_11</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122532137&doi=10.1007%2F978-3-030-91244-4_11&partnerID=40&md5=7619d45fa1106ff235efcd2d0e6744cc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122532137&doi=10.1007%2f978-3-030-91244-4_11&partnerID=40&md5=7619d45fa1106ff235efcd2d0e6744cc</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18650929; ISBN: 978-303091243-7 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 Gracia S, Christ University (Deemed), Karnataka, Bangalore, India; Soundarabai P.B., Christ University (Deemed), Karnataka, Bangalore, India; Raj P., Reliance Jio Platforms Ltd., Karnataka, Bangalore, India