Results 71 to 80 of about 21,969,604 (285)

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Parameter Matching of Battery–Supercapacitor Hybrid Power System for Electric Loader

Machines
The hybrid power system formed by batteries and supercapacitors can meet the demands of electric loaders for endurance and instantaneous power. Appropriate parameter matching can optimize the operational performance of the hybrid power system.
Mingkun Yang, Gexin Chen, Chao Ai, Xianhang Liu, Tao Jiang   +4 more
doaj   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Combined use of long short‐term memory neural network and quantum computation for hierarchical forecasting of locational marginal prices

Energy Conversion and Economics
Accurate locational marginal price forecasting (LMPF) is crucial for the efficient allocation of resources. Nevertheless, the sudden changes in LMP make it inadequate for many existing long short‐term memory (LSTM) network‐based prediction models to ...
Xin Huang, Guozhong Liu, Jiajia Huan, Shuxin Luo, Jing Qiu, Feiyan Qin, Yunxia Xu   +6 more
doaj   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Hybrid Cloud Surveillance in Smart Grids: Optimising Solar Power with Dual-Mode Control [PDF]

E3S Web of Conferences
This article reviews the progress in the realm of Hybrid Cloud Surveillance in Smart Grids Optimising Solar Power with Dual-Mode Control, delving into the amalgamation of smart grid systems with modern communication and information technology ...
Yadav Santosh Kumar, Altalkany Ghassan Adnan, Chandramauli Awadhesh, R Srisainath, Dhabliya Dharmesh, Maheshwari A.   +5 more
doaj   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Design and simulation of submarine dual-mode SOFC-MGT hybrid power generation system

Zhongguo Jianchuan Yanjiu, 2019
[Objectives] Solid Oxide Fuel Cell-Micro Gas Turbine(SOFC-MGT) hybrid power generation system will help to improve the endurance and stealth of conventionally powered submarines.
ZHU Runkai, LIANG Qianchao, ZHAN Haiyang, HUANG Qianlong, REN Jimin   +4 more
doaj   +1 more source

Power and energy management of multiple energy storage systems in electric vehicles [PDF]

, 2008
This dissertation contributes to the problem description of managing power and energy of multiple energy sources for electric vehicle power system architectures.
Rosario, L C
core   +4 more sources