Communication and Intelligent Systems (eBook)

Proceedings of ICCIS 2024, Volume 2
Artikelnummer: 978-981-9657-26-1
Einband: PDF
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Deep Learning Approach for Nepal Sign Detection.- Pareto optimality technique for Feature Selection by integrating Wrapper-Filter approach.- A Multi-Label Classification of Movie Genre for Prediction of Box Office (BO) Verdict using Posters and Social Media Sarcasm: A Multimodal Approach.- Analyzing the Proficiency of Deep Learning Techniques for Music Genre Classification.- Deep Learning based Bird Species Identification from Audio Recordings and Estimation of Bird Population.- Optimizing Schizophrenia Detection from EEG with Monarch Butterfly Optimization and Machine Learning Models.- Convolutional autoencoder and deep convolutional neural network hybrid model for plant disease detection.- Mental Health Assistant using Machine Learning.- Microarray Cancer Classification using Convolutional Neural Network Approach.- Two Layer Security Technique by using Cryptography and Steganography: A Novel Approach.- etc.


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Deep Learning Approach for Nepal Sign Detection.- Pareto optimality technique for Feature Selection by integrating Wrapper-Filter approach.- A Multi-Label Classification of Movie Genre for Prediction of Box Office (BO) Verdict using Posters and Social Media Sarcasm: A Multimodal Approach.- Analyzing the Proficiency of Deep Learning Techniques for Music Genre Classification.- Deep Learning based Bird Species Identification from Audio Recordings and Estimation of Bird Population.- Optimizing Schizophrenia Detection from EEG with Monarch Butterfly Optimization and Machine Learning Models.- Convolutional autoencoder and deep convolutional neural network hybrid model for plant disease detection.- Mental Health Assistant using Machine Learning.- Microarray Cancer Classification using Convolutional Neural Network Approach.- Two Layer Security Technique by using Cryptography and Steganography: A Novel Approach.- etc.


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VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2025
Seitenangabe546 S.
AusgabekennzeichenEnglisch
AbbildungenXX, 546 p. 225 illus., 191 illus. in color.
Masse35'039 KB
PlattformPDF
ReiheLecture Notes in Networks and Systems; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics ; Springer Nature Proceedings excluding Computer Science
AutorSharma, Harish (Hrsg.) / Shrivastava, Vivek (Hrsg.) / Tripathi, Ashish Kumar (Hrsg.) / Wang, Lipo (Hrsg.)

Alle Bände der Reihe "Lecture Notes in Networks and Systems; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics (R0); Springer Nature Proceedings excluding Computer Science"

Über den Autor Harish (Hrsg.) Sharma

Dr. Harish Sharma is an Associate professor at Rajasthan Technical University, Kota in the Department of Computer Science & Engineering since 2014. He has worked as an Assistant professor at Govt. Engg. College Jhalawar and Vardhman Mahaveer Open University Kota India. He is the secretary and one of the founder members of the Soft Computing Research Society of India. He is a lifetime member of the Cryptology Research Society of India, ISI, Kolkata. He has contributed to more than 125 papers published in various international journals and conferences. Dr. Abhishek Bhatt is presently working as Assistant Professor in the Centre for Artificial Intelligence, at the Madhav Institute of Technology & Science, Gwalior (Deemed University). He receives his Ph.D. degree in Machine learning and Computer Vision domain from the Indian Institute of Technology Roorkee in 2016. He has contributed to more than 100 papers published in various international journals and conferences. His research areas include AI/ML, Image Processing, spatiotemporal data analysis, and computer vision. Dr. Modi Chirag Navinchandra is working as an Associate Professor in the department of computer science and engineering at National Institute of Technology Goa (NIT Goa), India. He has currently a charge of Dean (R&C) at NIT Goa. He completed his PhD and M.Tech in Computer Engineering from NIT Surat in 2014 and 2010 respectively. His research areas include AI/ML, Cyber Security, Blockchain and smart grid energy management. He has successfully disseminated his research output in premier international conferences and journals with good number of citations. In addition, he holds 5 patents. He has received the Best Review Paper Award (2015) from JNCA, Elsevier, San Diego, USA, Best Paper Award from ICINPro 2021 conference and Young scientist award (2015) in cloud computing specialization by VIFRA, Chennai. Prof. Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artificial Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018).

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