Results 191 to 200 of about 2,913,967 (326)

Multiple biometric authentication for online banking system based on multiple fuzzy approach. [PDF]

Sci Rep
Anwar NM, Ahmad SSS, Kausar N, Stević Ž, Gaba YU.   +4 more
europepmc   +1 more source

High‐Fidelity Simulation‐Driven Control Framework for Robust Grid Integration of Renewable Energy Systems

Energy Science &Engineering, EarlyView.
This work proposes a high‐fidelity, simulation‐driven control framework for robust grid integration of hybrid PV–wind systems using a modular, hierarchical multi‐loop architecture with adaptive decision logic. The framework coordinates power, DC‐link voltage, and grid currents under fast load and generation changes, enabling safe exploration of extreme
Wulfran Fendzi Mbasso, Ambe Harrison, Idriss Dagal, Pradeep Jangir, Zhe Liu, Aseel Smerat   +5 more
wiley   +1 more source

Predicting academic performance with fuzzy logic in prospective physical education and sports teachers. [PDF]

Sci Rep
Anapalı Şenel A, Göksu B, Şenel E, Solmaz Fİ.   +3 more
europepmc   +1 more source

Research on Fuzzy Logic and Mathematics with Applications II [PDF]

openalex   +1 more source

Research on Collaborative Estimation of SOC and SOH for Lithium‐Ion Batteries Based on BS‐SRCKF‐DEKF

Energy Science &Engineering, EarlyView.
This paper presents a novel method for jointly estimating the state of charge (SOC) and state of health (SOH) in lithium‐ion battery systems. A second‐order hysteresis RC model and the BS‐SRCKF‐DEKF algorithm are used to improve estimation accuracy. Simulation and experimental results verify the method′s robustness and superior performance.
Meijin Lin, Haokun Lin, Jiehua Tan
wiley   +1 more source

Adopting Soft Logic to enhance an Adizes tool: A comprehensive approach to represent the evaluation of management styles. [PDF]

PLoS One
Kordova S, Hirschprung RS.
europepmc   +1 more source

Predicting Parameters Affecting Building Energy Consumption Using Machine Learning Models

Energy Science &Engineering, EarlyView.
This framework integrates long‐term weather forecasting with building energy simulation to predict energy demand. The CNN–LSTM model achieved the highest accuracy (R2 ≈ 0.95), supporting smart HVAC control with ~ 15% energy savings. ABSTRACT The rapid growth of population and the construction industry have led to an increase in energy demand and an ...
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Mathematician Yitang Zhang: why did I return to China at 70? [PDF]

Natl Sci Rev
Zhao W.
europepmc   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

A compact and power efficient full adder-subtractor layout in QCA technology. [PDF]

PLoS One
Majeed AH.
europepmc   +1 more source