Details
Trends in Sustainable Computing and Machine Intelligence
Proceedings of ICTSM 2023Algorithms for Intelligent Systems
|
CHF 271.50 |
|
| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 27.04.2024 |
| ISBN/EAN: | 9789819994366 |
| Sprache: | englisch |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
The book is a collection of best selected research papers presented at International Conference on Trends in Sustainable Computing and Machine Intelligence (ICTSM 2023) organized by Stamford International University, Bangkok, Thailand, during October 5–6, 2023. The book includes original research by researchers working in the field of machine learning. The book covers important topics like decision support systems, neural networks and applications, machine learning, natural language processing, automated problem solving, AI and evolutionary algorithms, intelligent information systems, computational intelligence, computer vision and image processing, cognitive and biologically inspired vision, soft computing and applications, hybrid intelligent systems, distributed computing, pattern recognition and analysis, ubiquitous and high-performance computing, security, trust and privacy, big data for sustainable computing, and energy-aware machine learning.
Design of a Boosting-based Similarity Measure for Evaluating Gene Expression using Learning Approaches<div>K Sai Dhanush, Sudha SV, Rohan Putchakayala, Chandrika Morthala, Maganti Hemanth Baji</div><div>Leveraging Linear Programming for Identification of Peripheral Blood Smear Malarial Parasitic Microscopic Images</div><div>Tamal Kumar Kundu, Dinesh Kumar Anguraj, Nayana Shetty</div><div>The AI's Ethical Limitations from the Societal Perspective. An AI Algorithms' Limitation?</div><div>Alexandru Tugui</div><div>Enhancement of Physical Layer Security for Relay Aided Multi-Hop Communication using Deep Transfer Learning Technique</div><div>Vachana. C, K. Saraswathi</div><div>Marine Vessel Trajectory Forecasting using Long-Short-Term Memory Neural Networks Optimized via Modified Metaheuristic Algorithm</div><div>Ana Toskovic, Aleksandar Petrovic, Luka Jovanovic, Nebojsa Bacanin, Miodrag Zivkovic, Milos Dobrojevic</div>Application of Artificial Intelligence in Virtual Reality<div>DEROUECH Oumaima, LACHGAR Mohamed, HRIMECH Hamid, HANINE Mohamed</div><div>An Extension Application of 1D Wavelet Denoising Method for Image Denoising</div><div>Prasanta Kumar Sahoo, Debasis Gountia, Ranjan Kumar Dash, Siddhartha Behera, Manas Kumar Nanda</div><div>Improving Navigation Safety by Utilizing Statistical Method of Target Detection on the Background of Atmospheric Precipitation<br></div><div>M. Stetsenko, O. Melnyk, O. Onishchnko, V. Shevchenko, V. Sapiha, O. Vishnevska, D. Vishnevskyi</div><div>Effects of Exogenous Factors and Bayesian-Bandit Hyperparameter Optimization in Traffic Forecast Analysis</div><div>Lakshmi Priya Swaminatha Rao, Suresh Jaganathan, Sharan Giri, Snehapriya Murugan, Vaibhav S</div><div>Development of Autoencoder and Variational Autoencoder for Image Recognition using Convolutional Neural Network</div><div>Tetiana Filimonova, Oleg Pursky, Anna Selivanova, Tetiana Pidhorna, Tatiana Dubovyk, Iryna Buchatska</div>A Semantic Web based Prototype Exercise - Video Game for Children with Anxiety and Juvenile Myoclonic Epilepsy and its Usability Assessment<div>Sai Akhil Kakumanu, Patha Srija, Kambhampati Kodanada Sai Harshitha, Medipally Abinay, Karnam Akhil</div><div><br></div>
<div>Dr. Surekha Lanka has a Doctoral degree of Science and Engineering from Himalayan University, India, and a Master’s degree of Computer Science from Andhra University, India, Master of Technology of computer science and engineering from Nagarjuna University, India. She also has done Master courses in Wireless communication from University of Athens, Greece. She has 13 years’ experience in teaching in various countries Thailand, Saudi Arabia, India, Bahrain, and also worked as Research Assistant at the International Institute of Research and Management in India.</div><div><br></div><div>Antonio Sarasa Cabezuelo has a Ph.D. in Computer Science from the Complutense University of Madrid. In 1999, he joined the UCM as Professor, where he has been Assistant Professor, Associate Professor at Full time, Collaborating Professor and since July 2013 he is Contracted Doctor professor. From the point of view of research, he has focused mainly on e-learning issues, standardization, digital heritage, and software development using techniques inspired by the design and implementation of computer languages. He is Member of the official Research Group of the UCM in Engineering of Software Languages and Applications (ILSA). He has participated as Researcher in 9 projects of the national plans, and in 10 projects of Educational Innovation, in 5 of them as their Director. The results of his research have been published in more than 70 articles in journals, lectures, and book chapters.</div><div><br></div><div>Alexandru Tugui is Full Professor at the Department of Accounting, Business Informatics and Statistics at Alexandru Ioan Cuza University of Iasi (Romania). Currently, his research fields concern the limits of artificial intelligence, societal transformations, smart economy, calm technology, technological singularity, and research methods. His research appeared in Big Data and Cognitive Computing, International Journal of Computers Communications Control, Sustainability, Remote Sensing, Transformations in Business and Economics, Carpathian Journal of Mathematics, Futurist, Encyclopedia of Information Science and Technology, Encyclopedia of Multimedia Technology and Networking. He is Ph.D. Adviser in business informatics and a futurologist in society and technology.</div>
The book is a collection of best selected research papers presented at International Conference on Trends in Sustainable Computing and Machine Intelligence (ICTSM 2023) organized by Stamford International University, Bangkok, Thailand, during October 5–6, 2023. The book includes original research by researchers working in the field of machine learning. The book covers important topics like decision support systems, neural networks and applications, machine learning, natural language processing, automated problem solving, AI and evolutionary algorithms, intelligent information systems, computational intelligence, computer vision and image processing, cognitive and biologically inspired vision, soft computing and applications, hybrid intelligent systems, distributed computing, pattern recognition and analysis, ubiquitous and high-performance computing, security, trust and privacy, big data for sustainable computing, and energy-aware machine learning.
<p>Focuses on sustainable computing and machine intelligence</p><p>Gathers the outcomes of the ICTSM 2023, held in Bangkok, Thailand</p><p>Offers a reference guide for researchers and practitioners in academia and industry</p>
Diese Produkte könnten Sie auch interessieren:
