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A Deep Learning Based Artificial Neural Network Approach for Intrusion Detection

2017
Security of data is considered to be one of the most important concerns in today’s world. Data is vulnerable to various types of intrusion attacks that may reduce the utility of any network or systems. Constantly changing and the complicated nature of intrusion activities on computer networks cannot be dealt with IDSs that are currently operational ...
Sanjiban Sekhar Roy   +4 more
openaire   +1 more source

Deep Learning in Spiking Neural Networks for Brain-Inspired Artificial Intelligence

Proceedings of the 19th International Conference on Computer Systems and Technologies, 2018
Brain-inspired AI (BI-AI) is the contemporary phase in the AI development that is concerned with the design and implementation of highly intelligent machines that utilise information processing principles from the human brain, along with their applications.
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Artificial Neural Networks, Deep Learning and Computer Vision

This book provides a comprehensive exploration of Artificial Neural Networks, Deep Learning, and Computer Vision, collectively transforming the artificial intelligence landscape. It offers insights into the latest advancements, technologies, and applications, blending theoretical foundations with practical implementations.
openaire   +1 more source

Highway Surveillance System Using Deep Learning Artificial Neural Networks

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), 2022
Pu Chuan Hsian, Chun-Shen Sea
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Efficient Bayesian Learning of Sparse Deep Artificial Neural Networks

2022
Mohamed Fakhfakh   +3 more
openaire   +1 more source

SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks

Computer Methods in Applied Mechanics and Engineering, 2021
Ehsan Haghighat, Ruben Juanes
exaly  

Tailoring the synaptic properties of a-IGZO memristors for artificial deep neural networks

APL Materials, 2022
Pedro Freitas   +2 more
exaly  

Artificial Neural Networks for Image Analysis : A Deep Learning Perspective

Explore the intersection of artificial neural networks and computer vision through this comprehensive guide to deep learning methodologies. This technical resource delves into convolutional architectures, feature extraction, and advanced image processing techniques essential for modern AI applications.
Shireesha K   +4 more
openaire   +1 more source

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