A hybrid optimal feature selection and Conv-LSTM model (OFSCL) for short-term energy demand forecasting in distribution substations of Ahvaz, Iran. [PDF]
Sci RepMehr MM, Farzin H, Mashhour E.
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An adaptive weight self-distillation deep learning framework for phenotype prediction from longitudinal gut microbiome data. [PDF]
BMC MicrobiolShi K, He Q, Wang S, Guo J.
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Impact of accurate load forecasting on electricity market stability in Japan using classical time-series and deep-learning methods. [PDF]
Sci RepRabie D, Moradi M, Xuan W, Farzaneh H.
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A Deep Learning-Enhanced Adaptive Kalman Filter with Multi-Scale Temporal Attention for Airborne Gravity Denoising. [PDF]
Sensors (Basel)Li L, Liu J, Ma G, Jiang Z.
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A Physics-Informed Hybrid Neural Network for High-Precision Temperature Prediction in Semiconductor Process Equipment. [PDF]
Micromachines (Basel)Peng J +6 more
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Dual-Tracer Imaging and Deep Learning for Real-Time Prediction of Lymph Node Metastasis in cN0 Papillary Thyroid Carcinoma. [PDF]
Cancers (Basel)Zhou J +9 more
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Design of an in-pipe inspection robotic system (IPIRS) with YOLOv8-LSTM integration for real-time in-pipe navigation. [PDF]
Sci RepElkholy H +3 more
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Comparative evaluation of several models for forecasting hourly electricity use in a steel plant. [PDF]
Sci RepGu F, Zhao Y.
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A Joint Framework of IMM-LSTM-C Tracking and IBPDO-Based Node Selection for Energy-Efficient Cooperative Tracking in Underwater Acoustic Sensor Networks. [PDF]
Sensors (Basel)Zhang W, Hou Y, Zhu H.
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