Modified Technique for Type-2 Neutrosophic Number Multiple-Attribute Decision-Making and Applications to Quality Evaluation of Management Work in University Student Organizations by Xinyan Huang

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Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

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NeuroFuzzXAI: A Hybrid Artificial Intelligence Framework for Epileptic Seizure Detection by Flavia COSTI, Emanuel COVACI, Ovidiu ROMAN, Darian ONCHIS

“…While deep learning models achieve strong predictive performance, their black-box nature limits clinical applicability. This study proposes a hybrid framework that combines explainable artificial intelligence (XAI) with fuzzy logic to improve both accuracy and interpretability in seizure classification. …”
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A Multi-Criteria Decision-Making Framework for Blockchain Technology Adoption in Smart Healthcare by Deepika Gaur, Shivani Bali, Angappa Gunasekaran, Nitish Joshi, Kuldeep Chaudhary, Vikram Bali

“…This study presents a software engineering-driven decision-support framework to evaluate blockchain platforms for healthcare applications, using the Intuitionistic Fuzzy TOPSIS (IFS-TOPSIS) method. …”
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Cost Estimation of Construction Projects under Risk and Cost-Influencing Factors by Mohammad Sheikhalishahi, Mahshid Yadegari, Emran Eshgheelahi

“…Sensitivity analysis is performed to demonstrate the applicability of DEA in identifying the influential factors. …”
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Bio-2FA-IoD: A Biometric-Enhanced Two-Factor Authentication Protocol for Secure Internet of Drones Operations by Hyunseok Kim, Seunghyun Park

“…The Internet of Drones (IoD) is rapidly expanding into sensitive applications, necessitating robust and efficient authentication. …”
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Comparative Analysis of Urban Resilience in Districts 5 and 6 of Tabriz Metropolitan Area by Firouz Jafari, Hasan Mahmoudzadeh, Nasrollah Taher kalvanagh

“…Additionally, to create a map of effective indicators, a fuzzy logic model was implemented within the GIS environment. …”
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A Review of Advances in Brushless Synchronous Motor Drive’s Control Techniques by Tapiwa Mashiri, Mbika Muteba

“…The advanced control techniques include model predictive control, slide mode control, reinforcement learning, and fuzzy logic control. This paper provides a comprehensive review of advances in control methods and addresses the challenges and limitations associated with their practical application.…”
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Control optimization for permanent magnet synchronous generators in multi-source power systems by LI Lingyun, LIU Weizhi, WANG Yongxiang, LIU Yang

“…In the application of multi-source power transmission systems, the control of permanent magnet synchronous generators (PMSG) driven by diesel engines demands higher control precision, stronger anti-interference capability, and enhanced power output performance. …”
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Algorithm for investigating risk analysis and factors affecting suicidal attempts under uncertainty by RuiHua Liang, Ni Duan, XueJing Liu, Chuanqin Liu

“…This algorithm assesses risk factors entirely using an interval-valued q-rung orthopair fuzzy (ivq-ROF) set information based Sugeno–Weber aggregation operators and EDAS method. …”
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A Performance Forecasting Model for Optimizing CDF-Funded Construction Projects in the Copperbelt Province, Zambia by Peter Kakoma, Penjani Hopkins Nyimbili, Moffat Tembo, Erastus Misheng’u Mwanaumo

“…The model integrates Adaptive Neuro-Fuzzy Inference Systems (ANFIS) with the Analytic Hierarchy Process (AHP) to forecast performance across five key indicators: cost-effectiveness, schedule adherence, quality compliance, safety performance, and client satisfaction. …”
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A Multi-Mode Active Control Method for the Hydropneumatic Suspension of Auxiliary Transport Vehicles in Underground Mines by Jianjian Yang, Kangshuai Chen, Zhen Ding, Cong Zhao, Teng Zhang, Zhixiang Jiao

“…This significant reduction in the vibrational response validates the potential application of the proposed method in underground mine environments.…”
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Synergistic integration of digital twins and sustainable industrial internet of things for new generation energy investments by Gang Kou, Hasan Dinçer, Serhat Yüksel, Muhammet Deveci

“…The research aims to demonstrate the practical application and reliability of a proposed evaluation model. …”
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Monitoring of multioperational machines based on the concept of e-Mind Machine by Andrey K. Tugengold, Roman N. Voloshin, Sergey V. Yushchenko

“…Benefits of the forecasting methods application are determined. New concepts such as fuzzy boundary of operability/reliability and fuzzy boundary of parametric uptime are introduced. …”
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The PAMSSEM Approach for Multi-Attribute Group Decision-Making Using Single-Valued Neutrosophic Sets: Applications to Evaluating the Effectiveness of College Students' Psychologica... by Xiaolan Liang

“…The results confirm its superior performance in handling complex decision-making problems involving linguistic and fuzzy information, proving its value as a robust tool for MADM under SVNSs.…”
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Guaranteed Performance Resilient Security Consensus Control for Nonlinear Networked Control Systems Under Asynchronous DoS Cyber Attacks and Applications on Multi-UAVs Networks by Chuhan Zhou, Ying Wang, Yun Sun, Chaoqi Fu

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MAGDM for Evaluating the Role of Computer Science in Education with PLq-ROF Heronian Mean Operators and Maximizing Deviation-MOORA Methodology by Aqsa Shafiq, Muhammad Waheed Rasheed, Marwah Shaker Habeeb, Rabia Tasneem, Nimra Shabbir, Abdu Alameri

“…The numerical results show that $${\mathbb {A}}_{4}$$ A 4 (namely: skill development) is the best CS application in education.…”
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Categories of <i>L</i>-Primals, <i>L</i>-Pre-Proximities, and <i>L</i>-Topologies by Ahmed A. Ramadan, Anwar J. Fawakhreh

“…Theoretical findings are supported by illustrative examples, including applications within the contexts of information systems and medicine, demonstrating the practical aspects of the developed theory.…”
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Intelligent hybrid method to predict generated power of solar PV system by Prashant Singh, Navneet Kumar Singh, Asheesh Kumar Singh

“…<p>This paper presents a brand-new hybrid solar photovoltaic (PV) power forecasting model called empirical mode decomposition (EMD)-particle swarm optimisation (PSO)-adaptive neuro-fuzzy inference system (ANFIS). The model offers a solution to the challenge of accurately predicting generated solar PV power while considering the dynamic nature of environmental variables and solar radiation variability. …”
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Deep Learning-Based Super-Resolution of Remote Sensing Images for Enhanced Groundwater Quality Assessment and Environmental Monitoring in Urban Areas by Peng Shu, Rana Waqar Aslam, Iram Naz, Bushra Ghaffar, Dmitry E. Kucher, Abdul Quddoos, Danish Raza, M. Abdullah-Al-Wadud, Rana Muhammad Zulqarnain

“…The integration of super-resolution remote sensing with conventional water quality assessment demonstrates promising applications for urban environmental monitoring and groundwater resource management.…”
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