Results 161 to 170 of about 1,008 (230)

Stability Evaluation and Parametric Optimization of Coal‐Concrete Composite Bearing Systems Under Mine‐Water‐Induced Deterioration: Experiments and FEINN Analysis

Energy Science &Engineering, EarlyView.
Mine‐water immersion tests reveal pronounced coal weakening (vs. minor concrete degradation), identifying coal pillars as the stability‐limiting component in composite dams. A coupled FEINN framework quantifies extreme‐pressure stability and ranks multi‐parameter designs via a normalized multi‐indicator scheme, enabling optimized dam configuration for ...
He Wen, Hongchuan Dai, Guixin Zhang, Pengzhe Li, Tong Yang, Cang Gong, Renbo Gao   +6 more
wiley   +1 more source

Integrating Veterinary Public Health Data into EPCIS-Based Digital Traceability for Dairy Supply Chains. [PDF]

Foods
Chatzinikolaou S, Vassiliou G, Gianniou M, Vassalos M, Papadakis N.   +4 more
europepmc   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

Energy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine, Noureddine El Barbri, Mourad Yessef, Mohammed M. Alammar, Z.M.S. El‐Barbary, Hatim Ameziane   +5 more
wiley   +1 more source

Adaptive Control of the Redundant Axis of a Surgical Robot for Operating Room Workspace Optimization Using Reinforcement Learning. [PDF]

Sensors (Basel)
Renedo-Alonso I, Sánchez-Margallo JA, Arana-Arexolaleiba N, Elguea-Aguinaco Í.   +3 more
europepmc   +1 more source

A Comprehensive Review of AI‐Powered Energy Systems

Energy Science &Engineering, EarlyView.
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo, Pedram Asef, Masoumeh Javadi, Mousa Marzband, Shady S. Refaat, Muhyaddin Rawa   +5 more
wiley   +1 more source

DreamerNav: learning-based autonomous navigation in dynamic indoor environments using world models. [PDF]

Front Robot AI
Shanks S, Embley-Riches J, Liu J, Delfaki AM, Ciliberto C, Kanoulas D.   +5 more
europepmc   +1 more source

Lead‐free halide perovskites for efficient light‐emitting devices

FlexMat, EarlyView.
Overview of Lead‐free metal halide perovskites with different categories and optoelectronic application directions, including solid‐state lighting, light‐emitting diodes, piezoluminescence, flexible electronics, scintillators and CPL emitters. Abstract Lead halide perovskites exhibit promising optoelectronic properties for optoelectronic applications ...
Yueqi Shen, Kefan Meng, Yiqi Zhao, Chaoran Zhou, Jiaye Shu, Di Zhang, Chengqian Cao, Wanxin Chen, Yefeng Zhou, Weihua Ning   +9 more
wiley   +1 more source

An agent-based model to advance the science of collaborative learning health systems. [PDF]

PLoS One
Seid M, Bridgeland D, Schuler CL, Hartley DM.   +3 more
europepmc   +1 more source

Forecasting Volatility of Commodity, Currency, and Stock Markets: Evidence From Markov‐Switching Multifractal Models

Journal of Forecasting, EarlyView.
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu, Mawuli Segnon, Oguzhan Cepni, Rangan Gupta   +3 more
wiley   +1 more source

Deep Reinforcement Learning-Based Resource Allocation for UAV-GAP Downlink Cooperative NOMA in IIoT Systems. [PDF]

Entropy (Basel)
Huang Y, Su J, Lu X, Huang S, Zhu H, Zeng H.   +5 more
europepmc   +1 more source