COOT-CNN: A metaheuristic-optimized deep learning framework based on lightweight convolutional architectures for multi-class robust crack detection in concrete infrastructures

Comparison of the new hybrid versus water cooling systems for electric vehicle battery: a machine learning approach

Karem Elsayed Elfeky, Mohamed Hosny, Abubakar Gambo Mohammed, Jiaqi Wang, Kun Ge

Also available via: Ain Shams Engineering Journal

Intelligent note recognition: enhancing vocal performance with convolutional neural networks

Ya-Nan Zhao, Dar-Yen Chen, Bin Zhou, Dan Wang, Ying Sun

An API recommendation method fusing context and semantic

Shi Cheng, Zihan Zhu, Yifei Shao, Jinfeng He, Zelin Wang

In modern software development, API recommendation systems play a crucial role in enhancing development efficiency. Query-based API recommendation better aligns with developers’ actual needs because developers often express programming tasks through natural-language queries and p…Read more

PSO-optimized physics-informed neural network-based fuzzy-sliding mode controller design for quadrotor altitude stabilization and trajectory tracking

Muluken Menebo Madebo, Mustafa Yasin Erten, Hüseyin Aydilek

Hybrid deep learning Approach for roof water inflow Prediction: Integration of microseismic energy density analysis with CNN-BiLSTM

Tao Yan, Chuanqu Zhu, Huiqing Lian, Qingfeng Li, Xiangxue Xia, Shangxian Yin

Deep polar transformer semantic coding framework for reliable 6G autonomous vehicle communication

Turki M. Alanazi