A Novel Approach of Threshold Setting for the Detection of Islanding in Distribution Generation-based Micro Grid by MISRA, S., JHA, B., MISHRA, V. M.

“…In this connection, this paper demonstrates a novel differential threshold methodology to set the detection level that is more effective than traditional absolute threshold techniques. …”
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Exploring the diverse nanomaterials employed in dental prosthesis and implant techniques: An overview by Thirumalaivasan Natesan, Nangan Senthilkumar, Verma Deepak, Shellaiah Muthaiah, Ali Saheb, Rajendran Saravanan, Kanagaraj Kuppusamy, Pothu Ramyakrishna, Boddula Rajender, Radwan Ahmed Bahgat, Al-Qahtani Noora

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Reconstruction of Harmonic and Transient Electrical Signals Through Compressed Sensing Technique by Oscar Vite, Felipe Uribe, C. A. Lopez de Alba

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An Effective Method for Detecting Cyber Attacks on Computer Networks from the NSL-KDD Data Set by Shaik Aseena Babu, Reddy Rajeswara, Vullam Nagagopi Raju, Reddy Gondi Konda, Shaik Subhani

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MODAMS: design of a multimodal object-detection based augmentation model for satellite image sets by Rahul Malik, Rachit Garg, Korhan Cengiz, Nikola Ivković, Adnan Akhunzada

“…To overcome these limitations, this text proposes design of a novel multimodal object-detection based augmentation model for satellite image sets. The proposed model initially applies a customized YOLO (You Only Look Once) based object detection technique on each of the hyperspectral image bands. …”
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Neutrosophic normal vague set fitting to trigonometric concept via aggregation operators and its augmentation by M. Palanikumar, Nasreen Kausar, Tonguc Cagin

“…Using a cotangent trigonometric neutrosophic normal vague set (CotNNVS), we begin this communication article with several novel techniques. …”
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Estimation of multicomponent stress-strength reliability for exponentiated Gumbel distribution using ranked set sample by Manoj Chacko, Ashly Elizabeth Koshy

“…This paper investigates stress-strength reliability, denoted as Rs, k, of a multicomponent s-out-of-k system for an exponentiated Gumbel distribution using ranked set sampling method. The study discusses maximum likelihood and Bayesian estimation techniques for Rs, k. …”
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Reassessing “infrastructuring digital sovereignty”: digital self-determination as a set of infrastructure-embedded practices by Francesca Musiani, Francesca Musiani

“…The contribution will discuss how, via two recently started projects, French and global interdisciplinary teams seek to provide an empirical and theoretical understanding, informed by the social sciences, of digital sovereignty as a set of processes and co-constructed techniques, practices, and norms “in the making.”…”
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A Novel Ranking Method for Trapezoidal Fuzzy Soft Sets and Applications in Multicriteria Decision-Making by null P. G. Patil, Vyshakha Elluru, Sunil Jacob John, Baiju T.

“…As the uncertainty becomes more, the role of fuzzy soft sets plays an important role. There are many ranking techniques for fuzzy numbers but it is necessary to rank the trapezoidal fuzzy soft sets (TrFSSs) to deal with uncertainty. …”
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Investigating the Morphology of a Free-Falling Jet with an Accurate Finite Element and Level Set Modeling by Yiming Liu, Hua Yang, Bilen Emek Abali, Wolfgang H. Müller

“…Numerical simulations are developed by means of the Finite Element Method (FEM) for solving the viscous fluid flow and the level set method in order to track the interface between the fluid and air. …”
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A Customized Local Energy Trading Approach Using a Comprehensive Set of Performance Indices by Smitali Patnaik, Umit Cali, Maciej A. Noras

“…The simulations performed on historical data sets compared dispatch mechanisms based on Mixed Integer Linear Programming (MILP) and techniques originating from Auction-Based approaches. …”
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Lung Cancer Prediction Using an Enhanced Neutrosophic Set Combined with a Machine Learning Approach by Vakeel A. Khan, Asheesh Kumar Yadav, Mohammad Arshad, Nadeem Akhtar

“…Traditional classification techniques often struggle with uncertainty and indeterminacy in medical data, which can lead to misdiagnosis and reduced diagnostic reliability. …”
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Rough Set Theory and Soft Computing Methods for Building Explainable and Interpretable AI/ML Models by Sami Naouali, Oussama El Othmani

“…This study introduces a novel framework leveraging Rough Set Theory (RST)-based feature selection—MLReduct, MLSpecialReduct, and MLFuzzyRoughSet—to enhance machine learning performance on uncertain data. …”
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Using Graph-Based Maximum Independent Sets with Large Language Models for Extractive Text Summarization by Cengiz Hark

“…The framework encapsulates nodes and relations into structural graphs generated through Natural Language Processing (NLP) techniques based on the Maximum Independent Set (MIS) theory. …”
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Developing and Validating a New Wireless Wearable Device for Balance Measurement in Sport and Clinical Setting by Mohammad Maleki, Mehran Faqihsolimani, Behzad Mortezazadeh

“…One of the new clinical techniques to assess the lower body parameters is the wearable ultrasonic sensors. …”
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Enhanced Federated Learning Framework based on Deep Learning and Neutrosophic Set for Android Malware Classification by Mohamed Refaat Abdellah, Hasan H. Oudah, Ahmed Mohamed Ahmed Badawy, Mohamed AbdElFattah AbdElFattah M Hassan, Shady Ahmed Bedier, Ahmed A. Metwaly, Mohamed eassa, Ahmed Abdelhafeez

“…We use the interval-valued neutrosophic sets (IVNSs) to deal with uncertainty and vague information. …”
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Chemometrics to connect feedstock quality, process settings and calorific value of hydrochar through infrared spectra by Álvaro Amado-Fierro, Tim Offermans, Jeroen Jansen, Teresa A. Centeno, María A. Díez

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Complex q-Rung Orthopair Fuzzy N-Soft Sets: A New Model with Applications by Muhammad Akram, Faiza Wasim, Ahmad N. Al-Kenani

“…To that purpose, the proposed theory integrates complex q-rung orthopair fuzzy sets with the parametric structure of N-soft sets. …”
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A Machine Learning-Based Risk Prediction Model During Pregnancy in Low-Resource Settings by Kapil Tomar, Chandra Mani Sharma, Tanisha Prasad, Vijayaraghavan M. Chariar

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An AI-Based Framework for Characterizing the Atmospheric Fate of Air Pollutants Within Diverse Environmental Settings by Nataša Radić, Mirjana Perišić, Gordana Jovanović, Timea Bezdan, Svetlana Stanišić, Nenad Stanić, Andreja Stojić

“…Applied to a COVID-19-related dataset comprising 404 variables, with benzene concentrations as the target—measured using proton transfer reaction–mass spectrometry in Belgrade, Serbia—the framework demonstrated exceptional sensitivity in assessing the impact of complex environmental and societal changes during the pandemic. Explainable AI techniques, such as SHAP and SAGE, were employed to reveal the influence of each predictor, while the clustering of SHAP values identified distinct environmental settings that influenced benzene behavior. …”
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