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ICDSMLA 2019: Proceedings of the 1st International Conference on Data Science, Machine Learning and Applications de Amit Kumar

ICDSMLA 2019: Proceedings of the 1st International Conference on Data Science, Machine Learning and Applications: Lecture Notes in Electrical Engineering, cartea 601

Editat de Amit Kumar, Marcin Paprzycki, Vinit Kumar Gunjan
en Limba Engleză Hardback – 20 mai 2020
This book gathers selected high-impact articles from the 1st International Conference on Data Science, Machine Learning & Applications 2019. It highlights the latest developments in the areas of Artificial Intelligence, Machine Learning, Soft Computing, Human–Computer Interaction and various data science & machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
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Specificații

ISBN-13: 9789811514197
ISBN-10: 9811514194
Pagini: 1988
Ilustrații: XXI, 1988 p. 1004 illus., 675 illus. in color. In 2 volumes, not available separately.
Dimensiuni: 155 x 235 mm
Greutate: 3.13 kg
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Electrical Engineering

Locul publicării:Singapore, Singapore

Cuprins

1. Intrusion detection system using soft computing techniques: A review.- 2. Machine Learning Based Outlook for the Analysis of SNP-SNP Interaction for Biomedical Big Data.- 3. A Compendium on Network and Host based Intrusion Detection Systems.- 4. Performance Evaluation of Stochastic gammatone filters.- 5. Optimization of  Multi-way Join Cost using System R* and SharesSkew.- 6. Study of K-Means Clustering Algorithm for Identification of Dengue Fever Hotspots.- 7. WhatsApp: A Business Tool in Unorganized Retail with reference to TAM.- 8. A framework for the RNA-Seq based classification and prediction of disease.- 9. Bio-Inspired AI optimization techniques to evaluate data rate and minimize interference in Cognitive Cellular Network.- 10. Reduction of PAPR in OFDM Signals Using Grey Wolf Optimization combined with SLM.- 11. Idiom Recommendation using POS tagging and Sentence Parsing.- 12. Indian and European Script Identification: A Review.- 13. Analysis of Iris Identification System by using Hybrid Based PSO Classifier.- 14. A Review on Handwritten Indian Script Identification.- 15. Intelligent Medicine Box for Medication Management using Internet-of Things.

Notă biografică

Amit is passionate Forensic Scientist, Entrepreneur, Engineer, Bioinformatician and an IEEE Volunteer. In 2005 he founded first Private DNA Testing Company BioAxis DNA Research Centre (P) Ltd in Hyderabad, India with an US Collaborator. He has vast experience of training 1000+ Crime investigation officers and helped 750+ Criminal and non-criminal cases to reach justice by offering analytical services in his laboratory. His group also works extensively on Genetic Predisposition risk studies of cancers and has been helping many cancer patients from 2012 to fight and win the battle against cancer. Amit is member of IEEE Strategy Development and Environmental Assessment committee (SDEA) of IEEEMGA. He is senior member of IEEE and has been a very active IEEE Volunteer. With experience at Section, Council, Region and IEEE MGA levels in several capacities he has driven number of IEEE Conferences, Conference leadership programs, Entrepreneurship development workshops, Innovation and Internshiprelated trainings. Dr. Kumar is also a Professor at SJB Research Foundation, SJB Institute of Technology, Bengaluru, Karnataka and Series Editor of Springer Briefs on Forensic and Medical Bioinformatics (FMB).

Marcin Paprzycki is an Associate Professor at the Systems Research Institute, Polish Academy of Sciences. He holds an M.S. from Adam Mickiewicz University in Poznań, Poland, a Ph.D. from Southern Methodist University in Dallas, Texas, and a Doctor of Science from the Bulgarian Academy of Sciences. He is a senior member of the IEEE, a senior member of the ACM, a Senior Fulbright Lecturer, and an IEEE CS Distinguished Visitor. He has contributed to more than 450 publications and was invited to the program committees of over 500 international conferences. He serves on the editorial boards of 12 journals and one book series.


Dr. Vinit Kumar Gunjan is an Associate Professor in Department of Computer Science & Engineering at CMR Institute of Technology Hyderabad (Affiliated to Jawaharlal Nehru Technological University, Hyderabad). An active researcher; published research papers in IEEE, Elsevier & Springer Conferences, authored several books and edited volumes of Springer series, most of which are indexed in SCOPUS database. Awarded with the prestigious Early Career Research Award in the year 2016 by Science Engineering Research Board, Department of Science & Technology Government of India. Senior Member of IEEE, An active Volunteer of IEEE Hyderabad section; volunteered in the capacity of Treasurer, Secretary & Chairman of IEEE Young Professionals Affinity Group & IEEE Computer Society. Was involved as organizer in many technical & non-technical workshops, seminars & conferences of IEEE & Springer. During the tenure I had an honour of working with top leaders of IEEE and awarded with best IEEE Young Professional award in 2017 by IEEE Hyderabad Section.

Textul de pe ultima copertă

This book gathers selected high-impact articles from the 1st International Conference on Data Science, Machine Learning & Applications 2019. It highlights the latest developments in the areas of Artificial Intelligence, Machine Learning, Soft Computing, Human–Computer Interaction and various data science & machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.

Caracteristici

Highlights recent advances in Artificial Intelligence, Machine Learning, Soft Computing, Human–Computer Interaction, and Data Science Discusses the applications of new emerging technologies for professionals and researchers alike Includes selected articles from the 1st International Conference on Data Science & Machine Learning 2019