Results 191 to 200 of about 19,473 (302)

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

Nutrient-Aware Personalized Meal Recommendation Using Structured Food Knowledge and Constraint Verification. [PDF]

Foods
Fu Y, Cai L, Wu R, Kang Y, Zhao Y.
europepmc   +1 more source

A Data‐Validated Multi‐Criteria Decision Framework for Ranking Sustainable Energy Pathways Toward Net‐Zero Emissions

Energy Science &Engineering, EarlyView.
Using a fuzzy DEMATEL–VIKOR framework, this study reveals policy feasibility and technological readiness as the strongest drivers of decarbonization success. The compromise ranking prioritizes energy efficiency and renewable as the most balanced strategies, whereas carbon capture and storage and the circular economy rank as the least favorable under ...
Yue Lou, Zhang Di, Te Ma, Jingyuan Zhao, M. Mehdi Shafieezadeh   +4 more
wiley   +1 more source

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

Energy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani, Abdullahi Abubakar Mas'ud, Mohd Khairul Amri Kamarudin, Firdaus Muhammad‐Sukki, Abdullahi Mohammad   +4 more
wiley   +1 more source

Analysis and visualization of expression patterns with fuzzy sets as FlowSets. [PDF]

NAR Genom Bioinform
Offensperger F, Joppich M, Sinn E, Zimmer R.   +3 more
europepmc   +1 more source

Optimal Fuzzy Graph Based on Fuzzy Node Fuzzy Graph Analysis

SCIS & ISIS, 2006
Uesu, Hiroaki, Yamashita, Hajime, Takizawa, Takenobu, Yanai, Michiko   +3 more
openaire   +1 more source

Operations On Strict Fuzzy Graphs and Dominant Fuzzy Graphs

Journal of Ultra Scientist of Physical Sciences Section A, 2017
VASANTHA KANDASAMY W.B, REGIN THANGARAJ
openaire   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

Functional stability assessment and adaptation for critical infrastructure facilities. [PDF]

Front Artif Intell
Perederyi V, Borchik E, Zosimov V, Bulgakova O.   +3 more
europepmc   +1 more source

Bio‐inspired vision: From principle, material architectures to system‐level integration

FlexMat, EarlyView.
This review introduces the development and mechanism of electronic and ionic bio‐inspired vision devices respectively. Then, it explores the impact of structure on bio‐inspired visual performance from the scale of intrinsic materials and device. Finally, it concludes that only by combining advanced software and technology can more complex vision ...
Zewan Lin, Miaoyi Xu, Xianda Ma, Weifeng Yang, Yuanlong Shao   +4 more
wiley   +1 more source