Results 81 to 90 of about 418,704 (219)

Review of Graph Neural Networks [PDF]

Jisuanji kexue
With the rapid development of artificial intelligence,deep learning has achieved great success in data that can be represented in Euclidean spaces,such as images,text,and speech.However,it has been difficult to apply deep learning to non-Eucli-dean ...
HOU Lei, LIU Jinhuan, YU Xu, DU Junwei
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Artificial Neural Network and Deep Learning: Fundamentals and Theory

"Artificial Neural Network and Deep Learning: Fundamentals and Theory" offers a comprehensive exploration of the foundational principles and advanced methodologies in neural networks and deep learning. This book begins with essential concepts in descriptive statistics and probability theory, laying a solid groundwork for understanding data and ...
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Intrusion detection using artificial neural networks and supervised deep learning

, 2022
MSc (Computer Science), North-West University, Potchefstroom Campus One of the most challenging problems facing researchers and security experts today is protecting digital assets from the rising number of threats emerging from large networks, such as the Internet daily.
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THE RISE OF DEEP LEARNING AND NEURAL NETWORKS: REVOLUTIONIZING ARTIFICIAL INTELLIGENCE

European Journal of Computer Science and Information Technology
This comprehensive article explores the transformative impact of deep learning and neural networks on artificial intelligence and various industries. It delves into the fundamental principles of deep learning, highlighting its remarkable performance in tasks such as image recognition, natural language processing, and speech recognition.
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Analysis of the role and robustness of artificial intelligence in commodity image recognition under deep learning neural network

, 2020
Rui Chen, Meiling Wang, Yi Lai
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Artificial Neural Network for Rainfall Analysis Using Deep Learning Techniques

, 2021
S D Nandakumar, R. Valarmathi, P Sudha Juliet, G. Brindha   +3 more
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Guardians of the Grid: A Collaborative AI System for DDoS Detection in Autonomous Vehicles Infrastructure

Information
Distributed Denial-of-Service (DDoS) attacks represent a pervasive and critical threat to autonomous vehicles, jeopardizing their operational functionality and passenger safety. The ease with which these attacks can be launched contrasts sharply with the
Amir Djenna, Saida Tamadartaza, Riham Oucief, Usman Javed Butt   +3 more
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Artificial neural network and deep learning in Sjögren's disease: where we are and where we are going

, 2023
Chiara Baldini, Gaetano La Rocca, Giovanni Fulvio, Enzo Grossi   +3 more
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Modeling the Influence of the Composition of Refractory Elements on the Heat Resistance of Nickel Alloys by a Deep Learning Artificial Neural Network [PDF]

, 2020
Dmitry Tarasov, O. B. Milder, Andrei Tiagunov   +2 more
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Web Phishing Classification Model using Artificial Neural Network and Deep Learning Neural Network

International Journal of Advanced Computer Science and Applications, 2023
Noor Hazirah Hassan, Abdul Sahli Fakharudin   +1 more
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