MCDM Optimization-Based Development of a Plus-Energy Microgrid Architecture for University Buildings and Smart Parking by Mahmoud Ouria, Alexandre F. M. Correia, Pedro Moura, Paulo Coimbra, Aníbal T. de Almeida

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Dynamic Workload Management System in the Public Sector: A Comparative Analysis by Konstantinos C. Giotopoulos, Dimitrios Michalopoulos, Gerasimos Vonitsanos, Dimitris Papadopoulos, Ioanna Giannoukou, Spyros Sioutas

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Coordinated Jamming and Poisoning Attack Detection and Mitigation in Wireless Federated Learning Networks by Sofia Barkatsa, Maria Diamanti, Panagiotis Charatsaris, Stefanos Voikos, Eirini Eleni Tsiropoulou, Symeon Papavassiliou

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Flood extent mapping in SAR images using semi-supervised approach by Girisha S, Savitha G, Sughosh P

“…Accurate semantic segmentation of flood-zones from SAR images is necessary for disaster management as it reduces human error and facilitates fast decision-making. However, the complexity of SAR images and the scarcity of annotated datasets make it difficult to develop efficient computer vision algorithms for this use. …”
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Network epidemiological analysis of COVID-19 transmission patterns by age, occupation and residence across four waves in Cyprus by Pavlos Alexandros Dimitriou, Valentinos Silvestros, Elisavet Constantinou, Costas Pitris, Panayiotis Kolios

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An IoT-enabled AI system for real-time crop prediction using soil and weather data in precision agriculture by MD Shaifullah Sharafat, Nilavro Das Kabya, Rahimul Islam Emu, Mehrab Uddin Ahmed, Jakaria Chowdhury Onik, Mohammad Aminul Islam, Riasat Khan

“…In Bangladesh, optimizing crop recommendations using real-time soil and environmental data is crucial for improving agricultural decision-making. However, integrating AI models with IoT devices for instantaneous crop prediction remains a challenge due to computational constraints and the need for model interpretability. …”
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Deep Learning in motion analysis for false start detection in speedway racing by Jacek Krakowian, Łukasz Jeleń

“…Manual detection methods, often dependent on the judgment of race officials, are prone to errors and subjectivity, leading to inconsistencies in decision-making. This paper introduces an automated approach that leverages computer vision methods to enhance detection precision. …”
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An Insight on the Timely Diagnosis of Diabetic Retinopathy Using Traditional and AI-Driven Approaches by Malaika Asif, Fasih Ur Rehman, Zoya Rashid, Altaf Hussain, Alina Mirza, Waqar Shahid Qureshi

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Leveraging Radiomics and Genetic Algorithms to Improve Lung Infection Diagnosis in X-Ray Images Using Machine Learning by A. Beena Godbin, S. Graceline Jasmine

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Hybrid Machine Learning-Based Fault-Tolerant Sensor Data Fusion and Anomaly Detection for Fire Risk Mitigation in IIoT Environment by Jayameena Desikan, Sushil Kumar Singh, A. Jayanthiladevi, Shashi Bhushan, Vinay Rishiwal, Manish Kumar

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Enhancing Liver Cirrhosis Diagnosis Using Machine Learning With Explainable AI and Cross-Validated Hyperparameter Tuning Techniques by Koteswara Rao Makkena, Karthika Natarajan

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Enhancing consistency of AHP-based expert judgements: A new approach and its implementation in an interactive tool by Shimon Frish, Irit Talmor, Omer Hadar, Maxim Shoshany, Aviad Shapira

“…The proposed tool has broad potential applications in various complex decision-making scenarios. In future developments, the tool could also be adapted to incorporate clustering techniques for managing complex criteria sets, or extended to support group decision making by assessing consensus levels and recommending minimal adjustments. • AHP-based pairwise comparisons of n criteria by experts are recorded in an n × n reiprocal preference matrix whose eigenvalu λmax is used to compute the consistency ratio (CR) of the resulting priority vector. • An iterative greedy algorithm developed to enhance the consistency of the solution in case CR>10% enforces minimal intervention by limiting the adjustment to single-step modifications on unaltered pairwise comparisons only. • The algorithm is implemented in an interactive, user-friendly software tool, ensuring transparency and expert engagement through real-time, traceable consistency refinement.…”
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An automatic method for estimating insect defoliation with visual highlights of consumed leaf tissue regions by Gabriel S. Vieira, Afonso U. Fonseca, Naiane Maria de Sousa, Julio C. Ferreira, Juliana Paula Felix, Christian Dias Cabacinha, Fabrizzio Soares

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Improving network security using keyboard dynamics: A comparative study by Ugwunna, C.O., Chukwuogo, O.E., Alabi, O.A., Kareem, M.K., Belonwu, T.S., Oloyede, S.O.

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INOVASI PEMBELAJARAN AKUNTANSI BERBASIS BLENDED LEARNING by Lyna Latifah, Nurdian Susilowati

“…<em>the accounting lectures have a big challengeb to improve the quality of graduates who are expected to have high knowledge and skill, to have good critical analysis and decision making. Thus: accounting lecturers are needed to improve their teaching and learning processes especially on learning design and assessment. …”
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A Spatial Crowdsourcing Engine for Harmonizing Volunteers’ Needs and Tasks’ Completion Goals by Maite Puerta-Beldarrain, Oihane Gómez-Carmona, Liming Chen, Diego López-de-Ipiña, Diego Casado-Mansilla, Felipe Vergara-Borge

“…The findings demonstrate that the VTAE algorithm ensures equitable task distribution across geographical areas while actively involving users in the decision-making process.…”
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Beyond Manual Media Coding: Evaluating Large Language Models and Agents for News Content Analysis by Stavros Doropoulos, Elisavet Karapalidou, Polychronis Charitidis, Sophia Karakeva, Stavros Vologiannidis

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N V.V. THE METHOD OF ESTIMATION OF THE ECOSYSTEMS STABILITY LEVEL BY USE OF AUTOMATIC LEARNING by V. N. Exzaryan, Rukavitsi

“…However application of machine learning for processing of initial information on the basis of the decision-making logic permits to automate this procedure and make it quicker and more available for a wide range of experts. …”
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Preoperative prediction of pulmonary ground-glass nodule infiltration status by CT-based radiomics combined with neural networks by Kun Mei, Zikang Feng, Hui Liu, Min Wang, Chao Ce, Shi Yin, Xiaoying Zhang, Bin Wang

“…This study explored the preoperative assessment of GGN infiltration status using computed tomography (CT) imaging integrated with a neural network to enhance the precision of clinical decision-making in surgical planning and therapeutic interventions. …”
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Integrating genomics & AI for precision crop monitoring and adaptive stress management by Rajesh Polegopu, Satya Sumanth Vanapalli, Sashi Vardhan Vanapalli, Naga Prudvi Diyya, Mounika Vandila, Divya Valluri, Anjali Peddinti, Sowjanya Saladi, Meghana Pyla, Padmini Gelli

“…The system leverages multimodal data fusion to enhance decision-making, improving the accuracy of stress detection and mitigation strategies. …”
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