Results 171 to 180 of about 90,690 (297)

ENHANCING STUDENT SUCCESS BY DEVELOPING HYBRID NNRW-LSTM PREDICTIVE MULTI-TASK PERFORMANCE PREDICTION IN HIGHER EDUCATION INSTITUTIONS

Mohamed Iqubal Jawid Nazir
openalex   +2 more sources

Fuel Consumption Prediction for Full Flight Phases Toward Sustainable Aviation: A DMPSO-LSTM Model Using Quick Access Recorder (QAR) Data [PDF]

Jing Xiong, Chunling Zou, Yongbing Wan, Sun You-chao, Gang Yu   +4 more
openalex   +1 more source

A Hybrid Fuzzy–Support Vector Machine Framework for Real‐Time Dust Detection and Thermal Mapping in Photovoltaic Panels

Energy Science &Engineering, EarlyView.
A hybrid Fuzzy–SVM framework for real‐time dust detection and thermal mapping in PV panels. ABSTRACT Dust accumulation significantly degrades the energy output of photovoltaic (PV) panels, particularly in arid and semi‐arid regions. While existing studies have separately explored image‐based dust detection, environmental modeling, and machine learning (
Debasish Sarker, S. M. Rezaul Karim, MD. Shouquat Hossain, Md. Moshaddek Hossain, Md. Monirul Kabir   +4 more
wiley   +1 more source

Swarm intelligence-optimized deep neural network for intelligent diagnosis of lithium‑ion battery state of health. [PDF]

Sci Rep
Li C, Yan B, Zhu C, Zhou X, Jia Y.
europepmc   +1 more source

Hybrid CNN-LSTM and PPO Architecture for Adaptive Home-Based Physical Therapy

Võ Thanh Hà, Nguyen Minh Khoa, Le Hoa Nguyen   +2 more
openalex   +2 more sources

A Scoping Review and Bibliometric Analysis on Smart Firefighting in Buildings and Infrastructures

Fire and Materials, EarlyView.
ABSTRACT Smart Firefighting is a concept that has emerged within the fire engineering and fire science disciplines in recent years. It can enable informed decision making and improved fire safety. However, its scope, definition, outcomes, and value to emergency management remain unclear. To investigate this, a scoping review and a bibliometric analysis
José Antonio Morales Mere, Nils Johansson, Enrico Ronchi   +2 more
wiley   +1 more source

Prediction and Performance of BDS Satellite Clock Bias Based on CNN-LSTM-Attention Model. [PDF]

Sensors (Basel)
Ma J, Tang J, Teng H, Wu X.
europepmc   +1 more source

A Hybrid Random Forest–LSTM Framework for Robust Crop Recommendation

Hadya Boufera, S. Abid, Cherifa Boudia
openalex   +2 more sources

Detailed Analysis of Pedestrian Activity Recognition in Pedestrian Zones Using 3D Skeleton Joints Using LSTM [PDF]

Qazi Hamza Jan, Yogitha Sai Badella, Karsten Berns   +2 more
openalex   +1 more source

Enhanced E-Commerce Sales Forecasting Using EEMD-Integrated LSTM Deep Learning Model

, 2023
Yunxiang Gan, Jiahuai Ma, Kaixian Xu
openalex   +2 more sources