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Computational neuroscience

Speech-based respiratory diagnostics: A study on COVID-19 detection with machine learning

Gaurav Datkhile, Pramod H. Kachare, [ ... ], Abdalla Alameen

Early adherence to biofeedback training predicts long-term improvement in stroke patients: A machine learning approach

Nandini Sengupta, Rezaul Begg, [ ... ], Marimuthu Palaniswami

Expansion quantization network: A micro-emotion detection and annotation framework

Jingyi Zhou, Senlin Luo, Haofan Chen

Hybrid deep learning framework for real-time fault detection in squirrel-cage induction motors

J. M. Jakaria, Jahin Sabir, Md. Zillur Rahman, Md. Feroz Ali

Ultraviolet–visible spectral characterization and ANN modeling of aqueous sugar solutions: Clinical and environmental perspectives

Hawraa Fadhil Abd, Yaser Norouzi, S. Mostafa Safavihamami

Design and optimization of soft finger actuators for rehabilitation applications: A combined finite element and neural network approach

Mahmoud Elsamanty, Karim Badr, [ ... ], Mostafa Orban

Suitability of paddy cultivation in the Western province of Sri Lanka under different climate change scenarios

Kasuni G. Pitawala, Shamen P. Vidanage, [ ... ], Roshan Nayak

Self-learning adaptive neuro-fuzzy approximation of robust control behavior in electric power steering systems

Tuan Anh Nguyen, Tran Minh Ngoc Do, [ ... ], Quang Vinh Tran

An efficient cyber-attack detection and classification in IoT networks with high-dimensional feature set using Levenberg-Marquardt optimized feedforward neural network

Quxi Kuang, Xianglin Kuang

MultiFAR: Multidimensional information fusion with attention-driven representation learning for student performance prediction

Mohd Fazil, Bader M. Albahlal

Cause-and-effect relationships in a nonlinear model of Bitcoin’s energy use and price volatility effect

Georgia Zournatzidou

Enhanced heart disease diagnosis and management: A multi-phase framework leveraging deep learning and personalized nutrition

Ritika Ritika, Rajender Singh Chhillar, [ ... ], Arshad Hashmi

Multi-step ahead streamflow and uncertainty forecasting using a HyMoLAP rainfall-runoff model-based framework integrated with Bayesian neural networks in the Ouémé river basin, Benin

Sianou Ezéckiel Houénafa, Olatunji Johnson, Erick K. Ronoh, Stephen E. Moore

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