Hands-On Fundamentals of 1D Convolutional Neural Networks—A Tutorial for Beginner Users.
I Cacciari, A Ranfagni - Applied Sciences (2076-3417), 2024 - search.ebscohost.com
In recent years, deep learning (DL) has garnered significant attention for its successful
applications across various domains in solving complex problems. This interest has spurred …
applications across various domains in solving complex problems. This interest has spurred …
Enhancing the Zebra Optimization Algorithm with Chaotic Sinusoidal Map for Versatile Optimization
D Anand, OI Khalaf… - Iraqi Journal For …, 2024 - ijcsm.researchcommons.org
In this study, the Chaotic Sinusoidal Map (CSM)-enhanced Zebra Optimization Algorithm
(CZOA) is introduced. CZOA combines CSM's integration strengths with ZOA's optimization …
(CZOA) is introduced. CZOA combines CSM's integration strengths with ZOA's optimization …
Original Research Article A coherent salp swarm optimization based deep reinforced neuralnet work algorithm for securing the mobile cloud systems
OI Khalaf, D Anand, GM Abdulsahib… - Journal of Autonomous …, 2024 - jai.front-sci.com
Protecting the mobile cloud computing system from the cyber-threats is the most crucial and
demanding problems in recent days. Due to the rapid growth of internet technology, it is …
demanding problems in recent days. Due to the rapid growth of internet technology, it is …
Federated learning with hybrid differential privacy for secure and reliable cross‐IoT platform knowledge sharing
The federated learning has gained prominent attention as a collaborative machine learning
method, allowing multiple users to jointly train a shared model without directly exchanging …
method, allowing multiple users to jointly train a shared model without directly exchanging …
Progress in Automated Cancer Detection with Recursive Neural Networks
Detecting cancer is a crucial step in the prognosis and treatment of most cancers and
consequently, there has been significant progress in the development of automatic …
consequently, there has been significant progress in the development of automatic …
Previsão múltipla em séries temporais de energia elétrica com Temporal Fusion Transformer
ABA Ferreira - 2024 - repositorio.unesp.br
A previsão da demanda energética é essencial para a eficiência e estabilidade dos
sistemas elétricos de potência. Tradicionalmente, as metodologias de previsão analisam as …
sistemas elétricos de potência. Tradicionalmente, as metodologias de previsão analisam as …