HybridSwingNet for explainable swing trading using multi-encoder deep learning and confidence-calibrated signal execution

Deep learning technique for grape leaf disease classification via deep high attention stage-by-stage forward Taylor network

Lalitha R, Sivasangari Ayyappan, Saranya K, A.S. Malleswari

Adaptive navigation control of a bionic robotic fish in complex Karman vortex street flow fields using an LSTM-DDPG hybrid strategy

Changhui Zheng, Peigang Jiao, Honghao Xu, Yiheng Zhang, Jiaxin Shi

Bionic robotic fish suffer from poor navigation robustness, high energy consumption, and control lag in unsteady Karman vortex street flow fields. This study proposes a hybrid adaptive navigation strategy combining long short-term memory (LSTM) and deep deterministic policy gradi…Read more

A novel dual-section geothermal–parabolic trough multigeneration system for sustainable energy supply optimized via Grey Wolf Optimizer

Yingtao Xu, Ahmed Mohsin Alsayah, Parisa Gholampour

One of the major global challenges in the energy sector is the sustainable production of electricity, freshwater, and heating with minimal environmental impact. Although renewable-based multigeneration systems have received considerable attention, integrating stable hybrid renewa…Read more

An energy efficient reliable machine learning based fuzzy fault tolerant model with self-healing routing in wireless sensor networks

Manoj Kumar Reddy Devarla, S. V. N. Santhosh Kumar

Longitudinal digital speech assessment in progressive supranuclear palsy

Kyurim Kang, İlkay Yıldız Potter, Ram Kinker Mishra, Rylee Cole, Tejas Pawar, Charlie W. Zhao, et al.

Thirty-two native English-speaking individuals with probable progressive supranuclear palsy-Richardson’s syndrome (PSP-RS) were followed for up to 12 months with clinical and digital speech assessments every 3 months. Speech features from reading a standard passage and sustained…Read more

Heterogeneous traffic flow theory fundamental diagram model considering vehicle queuing characteristics and lane changing behavior

Lin Hou, 宋贵玉, Yulong Pei, Weizhi Dong, Heyao Gao, Xiujuan Tian

The emerging heterogeneous traffic environment comprising human-driven vehicles (HDVs) and connected autonomous vehicles (CAVs) necessitates theoretical tools to explicitly capture queueing and lateral interactions. This study develops a Heterogeneous Fundamental Diagram (FD) bas…Read more