Results 71 to 80 of about 1,108,181 (276)

A novel hybrid arithmetic optimization algorithm and salp swarm algorithm for data placement in cloud computing

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2023
In recent years, the Internet of Things (IoT) has led to the spread of cloud computing devices in all commercial, industrial and agricultural sectors.
Ahmed Awad Mohamed, Ashraf D. Abdellatif, A. Alburaikan, H. Khalifa, Mohamed E. Abd Elaziz, L. Abualigah, Ahmed M. Abdelmouty   +6 more
semanticscholar   +1 more source

Woodworking Tool Wear Condition Monitoring during Milling Based on Power Signals and a Particle Swarm Optimization-Back Propagation Neural Network

Applied Sciences, 2021
In the intelligent manufacturing of furniture, the power signal has the characteristics of low cost and high accuracy and is often used as a tool wear condition monitoring signal.
Weihang Dong, Xianqing Xiong, Ying Ma, Xinyi Yue   +3 more
doaj   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

A novel bitwise arithmetic optimization algorithm for the rule base optimization of deep neuro-fuzzy system

Journal of King Saud University: Computer and Information Sciences, 2023
The novel Deep Neuro-Fuzzy System (DNFS) has attracted significant attention from researchers due to the model's adaptability and rule-based structure. The model has been successfully implemented in various real-world applications.
Noureen Talpur, Said Jadid Abdulkadir, Emelia Akashah Patah Akhir, Mohd Hilmi Hasan, Hitham Alhussian, Mohd Hafizul Afifi Abdullah   +5 more
doaj   +1 more source

Physical Intelligence in Small‐Scale Robots and Machines

Advanced Materials, EarlyView.
“Physical intelligence” (PI) empowers biological organisms and artificial machines, especially at the small scales, to perceive, adapt, and even reshape their complex, dynamic, and unstructured operation environments. This review summarizes recent milestones and future directions of PI in small‐scale robots and machines.
Huyue Chen, Metin Sitti
wiley   +1 more source

Multilayer Perceptron Neural Network with Arithmetic Optimization Algorithm-Based Feature Selection for Cardiovascular Disease Prediction

Machine Learning and Knowledge Extraction
In the healthcare field, diagnosing disease is the most concerning issue. Various diseases including cardiovascular diseases (CVDs) significantly influence illness or death.
F. Alghamdi, Haitham Almanaseer, Ghaith M. Jaradat, Ashraf Jaradat, M. Alsmadi, Sana Jawarneh, Abdullah Almurayh, J. Alqurni, Hayat Alfagham   +8 more
semanticscholar   +1 more source

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho, Youngmin Han, Won Woo Lee, Youngwoo Yoo, Kannan Udaya Mohanan, Chang‐Hyun Kim, Junhwan Choi, Young‐Joon Kim, Wonjun Shin, Hocheon Yoo   +9 more
wiley   +1 more source

Enhancing NoC-Based MPSoC Performance: A Predictive Approach With ANN and Guaranteed Convergence Arithmetic Optimization Algorithm

IEEE Access, 2023
Network-on-Chips (NoCs) serve as essential interconnection infrastructures in Multi-processor System-on-Chip (MPSoC) designs, emphasizing flexibility, extensibility, and low power consumption. The effectiveness of communication within NoCs relies heavily
Y. Muhsen, N. Husin, M. Zolkepli, N. Manshor, A. Al-Hchaimi, H. M. Ridha   +5 more
semanticscholar   +1 more source

Ultra‐Improved Interfacial Strength Between Metallic Surface and Polyurethane via Cost‐Effective Anodizing Process

Advanced Materials Interfaces, EarlyView.
SAA significantly enhanced Al/PU bonding, increasing SLSS by up to 920% and fracture energy by 15 100% through optimized micro‐nano porous surfaces. RSM identified the optimal anodizing conditions, while ML confirmed sulfuric acid concentration and roughness as dominant predictors of strength.
Umut Bakhbergen, Sherif Araby, Zhandos Tauanov, Nursultan Turdakyn, Reza Montazami, Fethi Abbassi, Gulnur Kalimuldina   +6 more
wiley   +1 more source