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International Conference on Artificial Intelligence: Advances and Applications 2019: Proceedings of Icaiaa 2019

ISBN-13: 9789811510588 / Angielski / Twarda / 2020 / 394 str.

Garima Mathur; Harish Sharma; Mahesh Bundele
International Conference on Artificial Intelligence: Advances and Applications 2019: Proceedings of Icaiaa 2019 Mathur, Garima 9789811510588 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

International Conference on Artificial Intelligence: Advances and Applications 2019: Proceedings of Icaiaa 2019

ISBN-13: 9789811510588 / Angielski / Twarda / 2020 / 394 str.

Garima Mathur; Harish Sharma; Mahesh Bundele
cena 806,99 zł
(netto: 768,56 VAT:  5%)

Najniższa cena z 30 dni: 771,08 zł
Termin realizacji zamówienia:
ok. 22 dni roboczych
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Darmowa dostawa!
inne wydania
Kategorie:
Technologie
Kategorie BISAC:
Computers > Artificial Intelligence - General
Computers > Computer Science
Computers > Data Science - Data Analytics
Wydawca:
Springer
Seria wydawnicza:
Algorithms for Intelligent Systems
Język:
Angielski
ISBN-13:
9789811510588
Rok wydania:
2020
Wydanie:
2020
Numer serii:
000925819
Ilość stron:
394
Waga:
0.76 kg
Wymiary:
23.39 x 15.6 x 2.39
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

Miniaturized Single layer Asymmetric CPW Fed Antenna for UWB Applications.- Four Elements MIMO Antenna Array having Band Notching Properties and High Isolation.- Designing a Non Linear Tri Core Photonic Crystal Fiber for Minimizing Dispersion and analyzing it in various Sensing Applications.- A New Methodology to Implement ASCII Based Cryptography.- Sentiment Analysis of Product Reviews of Ecommerce Websites.- A Novel Image Encryption Technique Using Arnold Transform and Asymmetric RSA Algorithm.- Predictive Alert for Artificial Oil Lift using Machine Learning Techniques.- Designing of Band Reject Filter for Radio Astrophysics.- Novel Hardware Design of Correlation Function and its Application on Binary Matrix Factorization Based Features.- Facial Expression Recognition Using Random Forest Classifier.- Air Quality Status in Jaipur and Nearby Areas of Rajasthan.- Recognizing MNIST Handwritten Dataset using PCA & LDA.- Optimal Design of a Stand-Alone Hybrid System using GA, PSO and ABC.

Dr. ​Garima Mathur is currently working as Head of Department, Poornima College of Engineering, Jaipur since 1st July 2016. Previously she was working as Head of Department in Electronics & Communication Engineering at Jaipur Engineering College, Jaipur, Rajasthan, India since Oct. 2000 to Dec. 2015. She has total 18 years experience in teaching and research. She is working on various research projects sponsored by various agencies. She did his doctoral degree in Performance Evaluation of Modified Sphere Decoding Scheme for MIMO Systems. Dr. Mathur published and presented International, National Journals, Conferences, Symposium and Seminar more than 30 research papers. She has guided more than 15 M.Tech. Dissertation thesis. Her area of interest is Wireless channel, Channel modeling, and Ad hoc Networks. Dr. Mathur is a life member of the Institution of Electronics and Telecommunication Engineers (IETE), The Indian Society for Technical Education (ISTE), India, and many other professional bodies.

Dr. Harish Sharma is an Associate Professor at Rajasthan Technical University, Kota, in the Department of Computer Science & Engineering. He has worked at Vardhaman Mahaveer Open University, Kota, and Government Engineering College, Jhalawar. He received his B.Tech. and M.Tech. degrees in Computer Engineering from Government Engineering College, Kota, and Rajasthan Technical University, Kota, in 2003 and 2009, respectively. He obtained his Ph.D. from ABV-Indian Institute of Information Technology and Management, Gwalior, India.

He is secretary and one of the founder members of Soft Computing Research Society of India. He is a life-time member of Cryptology Research Society of India, ISI, Kolkata. He is an Associate Editor of “International Journal of Swarm Intelligence (IJSI)” published by Inderscience. He has also edited special issues of the journals “Memetic Computing” and “Journal of Experimental and Theoretical Artificial Intelligence”. His primary area of interest is nature-inspired optimization techniques. He has contributed in more than 45 papers published in various international journals and conferences.

Dr. Mahesh Bundele is currently working as Principal and Director of Poornima College of Engineering, Jaipur since 1st September 2018. He has total 31 years experience in teaching and research. He has developed many unique research methodology concepts and implemented. He is the mentor and controller of quality research and publications at the University. He is also responsible for inculcation of innovative and critical analysis concepts across the University and across the Poornima Foundation involving three other campuses. He did his doctoral degree in Wearable Computing and guiding research in Pervasive & Ubiquitous Computing, Computer Networks, Software Defined Networking. His areas of interests are also Wireless Sensor Networks, Algorithmic research, Mathematical Modeling, and Smart grids. He has more than 30 publications in reputed journals and conferences. He has been reviewer of few IEEE Transactions. He is actively involved in IEEE activities in Rajasthan Subsection and Delhi Section and holding the responsibility on Standing Committee of IEEE Delhi Section for Technical & Professional activities for controlling quality of conferences and publications in IEEE. He is also holding position of membership development chair at IEEE Rajasthan Subsection.

Dr. Nilanjan Dey is an Assistant Professor in Department of Information Technology at Techno India College of Technology, Kolkata. He has completed his PhD in 2015 from Jadavpur University. He is a Visiting Fellow of Wearables Computing Laboratory,Department of Biomedical Engineering University of Reading, UK, Visiting Professor of College of Information and Engineering, Wenzhou Medical University, P.R. China and Duy Tan University, Vietnam. He has held honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015).

He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence,IGI Global, series Co-Editor of Springer Tracts in Nature-Inspired Computing, Springer, Advances in Ubiquitous Sensing Applications for Healthcare (AUSAH), Elsevier and the series editor of Intelligent Signal processing and data analysis, CRC Press. He has authored/edited more than 40 books with Elsevier, Wiley, CRC and Springer, and published more than 350 research articles. His main research interests include Medical Imaging, Machine learning, Bio-inspired computing, Data Mining etc. He is a life member of Institute of Engineers (India).

Dr. Marcin Paprzycki is an Associate Professor at the Systems Research Institute, Polish Academy of Sciences. He has an MS from Adam Mickiewicz University in Poznan, Poland, a Ph.D. from Southern Methodist University in Dallas, Texas, and a D.Sc. Degree from the Bulgarian Academy of Sciences. He is a senior member of IEEE, a senior member of 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 is on the editorial boards of 12 journals and a book series.

This book introduces research presented at the “International Conference on Artificial Intelligence: Advances and Applications-2019 (ICAIAA 2019),” a two-day conference and workshop bringing together leading academicians, researchers as well as students to share their experiences and findings on all aspects of engineering applications of artificial intelligence. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business and security. It also includes research in core concepts of computer networks, intelligent system design and deployment, real-time systems, WSN, sensors and sensor nodes, SDN and NFV. As such it is a valuable resource for students, academics and practitioners in industry working on AI applications.



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