Results 171 to 180 of about 8,664 (262)

An innovative fuzzy model control strategy for Trans-Z-Source DC-DC boost converters in satellite power systems. [PDF]

Sci Rep
Lotfy MW, Hussein AI, Abo-Zahhad MM, Mabrook MM.   +3 more
europepmc   +1 more source

Mapping the Interannual Variability of Irrigated Area Using Categorical Sampling and Machine Learning

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract Accurate irrigated area (IA) mapping is essential for hydrological and climate modeling. However, existing IA mapping approaches typically rely on persistently irrigated or non‐irrigated samples, which has reduced sensitivity to year‐to‐year IA variability.
Xin Tian, Jianzhi Dong, Yuanyuan Zha, Jianhong Zhou, Dexing Zhao, Xi Chen, Shuangyan Jin, Yaxin Zhang, Lingna Wei   +8 more
wiley   +1 more source

Mathematics behind fuzzy logic

Computers & Mathematics with Applications, 2000
openaire   +1 more source

Modelling the effect of motivation on mental health components with fuzzy logic among elite athletes. [PDF]

Sci Rep
Şenel AA, Adiloğulları GE, Şenel E.
europepmc   +1 more source

Advances and Challenges in Machine Learning‐based Image Analysis for Monitoring and Predicting Organic Crystal Formation

Aggregate, Volume 7, Issue 6, June 2026.
This review explores the application of machine learning‐based image analysis technology in four major organic crystallization tasks, providing a reference for subsequent research in the corresponding fields. ABSTRACT Manual crystallization experiments have always been challenging, requiring extensive process development expertise and often resulting ...
Tianqi Ma, Yating Qu, Chenxian Guan, Hang Yin, Wenmian Yang, Shing Fung Chow, Henry Hoi Yee Tong, Defang Ouyang, Zhuyifan Ye   +8 more
wiley   +1 more source

RAAS: Runtime Adaptive Approximation System

Concurrency and Computation: Practice and Experience, Volume 38, Issue 12, June 2026.
ABSTRACT Software‐level approximation techniques, such as loop perforation and functional replacement, can improve energy and performance in error‐tolerant applications, but typically require extensive programmer intervention even when compiler support is available.
Lucas Reis, Sandro Rigo, Lucas Wanner
wiley   +1 more source

A hybrid machine learning and explainable AI framework for optimizing risk-based authentication. [PDF]

PLoS One
Sasikumar K, Nagarajan S.
europepmc   +1 more source

A Fuzzy‐Logic and Machine Learning‐Based Framework for Water Quality Index Classification in Extensive and Intensive Aquaculture Systems

Engineering Reports, Volume 8, Issue 6, June 2026.
This study presents an Internet of Things (IoT)‐to‐Cloud framework for real‐time monitoring and prediction of the Water Quality Index (WQI) across both extensive and intensive aquaculture systems. By integrating Fuzzy Logic biological thresholds with ML classification, the Random Forest model achieves over 99.5% accuracy in both environments ...
Mohammod Abul Kashem, Mehedi Hasan Shuvo, Shabnom Mustary, Md. Mithun Ali, Nayeem Ullah, Md. Delwar Hossain, Md. Asaduzzaman Chowdhury, Jia Uddin   +7 more
wiley   +1 more source

Optimized PI controller-based hybrid model for adaptive energy management in photovoltaic integrated electric vehicle charging microgrids. [PDF]

Sci Rep
Natarajan R, Selvaraj J, Daniel S, Azerefegn TM.   +3 more
europepmc   +1 more source

A Comparative Analysis of Asymmetric Z‐Number Fuzzy Logistic Regression and Conventional Machine Learning Models in COVID‐19 Disease Diagnosis

Engineering Reports, Volume 8, Issue 6, June 2026.
In this study, a fuzzy logistic regression framework based on asymmetric Z‐numbers is introduced. The proposed model is designed to explicitly incorporate data uncertainty and expert‐defined linguistic information into the diagnostic process. The results demonstrate improved diagnostic performance compared to conventional machine learning methods under
M. Habibi Ganjgah, P. Azhdari, K. Fathi Vajargah   +2 more
wiley   +1 more source