Cantitate/Preț
Produs
Total produse
Vezi coșul
Machine Learning, Image Processing, Network Security and Data Sciences: Select Proceedings of 3rd International Conference on MIND 2021 de Rajesh Doriya

Machine Learning, Image Processing, Network Security and Data Sciences: Select Proceedings of 3rd International Conference on MIND 2021: Lecture Notes in Electrical Engineering, cartea 946

Editat de Rajesh Doriya, Badal Soni, Anupam Shukla, Xiao-Zhi Gao
en Limba Engleză Hardback – 2 ian 2023
This book constitutes the refereed proceedings of the Third International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2021. The papers are organized according to the following topical sections: data science and big data; image processing and computer vision; machine learning and computational intelligence; network and cybersecurity. This book aims to develop an understanding of image processing, networks, and data modeling by using various machine learning algorithms for a wide range of real-world applications. In addition to providing basic principles of data processing, this book teaches standard models and algorithms for data and image analysis. 
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 144380 lei  6-8 săpt.
  Springer Nature Singapore – 3 ian 2024 144380 lei  6-8 săpt.
Hardback (1) 145802 lei  3-5 săpt.
  Springer Nature Singapore – 2 ian 2023 145802 lei  3-5 săpt.

Din seria Lecture Notes in Electrical Engineering

Preț: 145802 lei

Preț vechi: 182253 lei
-20% Nou

Puncte Express: 2187
Preț estimativ în valută:
27901€ • 29420$ • 23227£

Carte disponibilă

Livrare economică 20 decembrie 24 - 03 ianuarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9789811958670
ISBN-10: 981195867X
Pagini: 913
Ilustrații: XVIII, 913 p. 410 illus., 331 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.68 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Electrical Engineering

Locul publicării:Singapore, Singapore

Cuprins

A Methodological review of Time Series Forecasting with Deep Learning Model : A Case study on Electricity Load and Price Prediction.- A Robust Secure Access Entrance Method Based on Multi Model Biometric Credentials Iris and Finger Print.- Prostate Cancer Grading using Multistage Deep
Neural Networks.

Notă biografică

Rajesh Doriya received his B.E. from MITS Gwalior, M.Tech. from IIIT Allahabad, and Ph.D. from IIIT Allahabad, India. He has got teaching experience of over 10 years, and presently, he is working as an Assistant Professor in the Department of Information Technology, NIT Raipur. He is associated with research projects at the Institute for System Studies & Analyses (ISSA) lab of DRDO, New Delhi, India, and the Division of Remote Handling & Robotics (DRHR) lab of BARC Mumbai, India. He has authored over 50 research papers published in international Journals and Conferences. His research interests include distributed computing, cloud computing, artificial intelligence, robotics, soft computing techniques, network security, etc.
Badal Soni is an Assistant Professor in the Department of Computer Engineering, National Institute of Technology (NIT) Silchar, India. He completed his B. Tech. from Rajiv Gandhi Technical University (formerly RGPV) Bhopal, India, and M. Tech. from Indian Institute of Information Technology (IIITDM) Jabalpur, India. He received his Ph.D. from NIT Silchar, India. He has teaching and research experience of over seven years in computer science and information technology with a particular interest in computer graphics, image processing, speech, and language processing. He has published over 50 papers in international journals and conference proceedings. He is a Senior Member of IEEE and a professional member of various bodies like IEEE, ACM, IAENG, and IACSIT.Anupam Shukla is working as Director at the Indian Institute of Information Technology, Pune. Before this, he was a founding Dean of Sponsored Research and Consultancy, Professor in the Department of Information and Communication Technology (ICT) at ABV-Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior, and a visiting professor at Florida International University, USA, and Indian Institute of Management (IIM), Rohtak. He has 32 years of teaching and research experience. He is globally renowned for his research on artificial intelligence, which has won him several academic accolades and resulted in collaborations with academicians worldwide. To his credit, he has five patents, five books, and 190 peer-reviewed publications. He is the mentor of 17 doctorates and 146 postgraduate theses. Xiao-Zhi Gao received his B.Sc. and M.Sc. degrees from the Harbin Institute of Technology, China, in 1993 and 1996, respectively. He obtained his D.Sc. (Tech.) degree from the Helsinki University of Technology (now Aalto University), Finland, in 1999. He has been working as a professor at the University of Eastern, Finland, since 2018. He has published over 450 technical papers in refereed journals and international conferences. His research interests are nature-inspired computing methods with their applications in optimization, data mining, machine learning, control, signal processing, and industrial electronics.
 

Textul de pe ultima copertă

This book constitutes the refereed proceedings of the Third International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2021. The papers are organized according to the following topical sections: data science and big data; image processing and computer vision; machine learning and computational intelligence; network and cybersecurity. This book aims to develop an understanding of image processing, networks, and data modeling by using various machine learning algorithms for a wide range of real-world applications. In addition to providing basic principles of data processing, this book teaches standard models and algorithms for data and image analysis. 

Caracteristici

Includes outstanding research papers presented at MIND 2021 Discusses new findings in big data, machine learning, and computational intelligence Serves as a reference resource for researchers and practitioners in academia and industry