Table of Contents

• Evaluating the Impact of Background Complexity on Deep Learning Model PerformanceHira Batool, Muhammad Abu Bakr, Sultan Daud Khan. 1-5 [doi]
• Adversarial RobustnessTameem Adel. 6-10 [doi]
• Evaluation of Bagging Predictors with Kernel Density Estimation and Bagging ScorePhilipp Seitz, Jan Schmitt, Andreas Schiffler. 11-15 [doi]
• Uncertainty Estimates for Support Vector Machines in the Transfer Learning ParadigmTameem Adel. 16-20 [doi]
• Improving Bayesian Optimization for Portfolio Management with an Adaptive SchedulingZinuo You, John Cartlidge, Karen Elliott, Menghan Ge, Daniel Gold. 21-25 [doi]
• Reconstruction-Based Methods for Multivariate Time Series Anomaly Detection : A Review and TaxonomySalma Errachidi, Aimilia Tasidou, Ahmed Nait-Chabane, Karim Beddiar. 26-31 [doi]
• AFD-KD: Attention-Guided Feature Distillation from Transformer to Lightweight CNNs for Efficient Time Series ForecastingSangjin Na, Dogyun Kwak, Yunju Baek. 32-39 [doi]
• A Spatiotemporal Deep Learning Framework for ENSO Prediction Using Vision-Mamba RNN with Dynamic Activation FunctionsWen-Chieh Wu, Dong-Lin Li. 40-44 [doi]
• A Comparative Evaluation of One-Stage and Two-Stage Deep Learning Models Using an Augmented Industrial DatasetHossein Malekmohamadi, Xin Lu 0001, Immanuel Ojji, Serhan Cosar. 45-52 [doi]
• An Adaptive Weighted Deep Forest Classification Model based on WKNNTianyuan Chen, Xin Mei. 53-60 [doi]
• Performance Trade-offs in Explainability-as-a-Service Using Surrogate Linear ModelsGiuseppe D'Acquisto, Paolo Fantozzi, Maurizio Naldi. 61-65 [doi]
• Identifying Transferable AI Use Cases for Scrum through an Analysis of Software Development MethodsDijana Peras, Zlatko Stapic. 66-72 [doi]
• TwinFlow: A Conceptual Framework for Digital Twin Personas in Agile Software DevelopmentToyese Oloyede, Olatunji Sikiru, Fatimat Okeleye, Esther Eboesomi, Oke Oviemuno Anthony, Olusegun Akinfenwa, Arinzechukwu Hipolite Madukasi, Christian Chimezie. 73-78 [doi]
• A Multimodal Recommendation System for Real Estate ListingsTan Doruk Yetki, Hacer Turgut, Mehmet Gönen. 79-86 [doi]
• Automated Trust-Aware Software Vulnerability Scoring via Explainable Feature AlignmentSeyedeh Leili Mirtaheri, AmirHossein Majd, Reza Shahbazian, Andrea Pugliese 0001. 87-91 [doi]
• Patent Retrieval with Few-Shot Fine-Tuning and Quantized EmbeddingsRenukswamy Chikkamath, Linda Andersson, Markus Endres. 92-99 [doi]
• Hallucination Prediction in Large Language Models Using Contextual AnalysisAisha Olomowewe, Andrew Starkey, Yaji Sripada. 100-106 [doi]
• An AI-Driven Constructivist and Knowledge-Based Learning Model for Enhancing Problem-Solving Skills in Cloud Computing EducationNuttapong Prasertsung. 107-112 [doi]
• TALME: Topical Adversarial LLM-based Misinformation EnforcerXinyu Hu, Hanbo Yu, Zhiwei Fu, Steven H. H. Ding, Benjamin C. M. Fung, Devin Pereira, Jun Meng. 113-120 [doi]
• Prompt Sentiment: The Catalyst for LLM ChangeVishal Gandhi, Sagar Gandhi. 121-125 [doi]
• Bias in Recruitment Systems Utilizing Large Language ModelsNupur Chandrashekhar Deshmukh, Sharayu Sunil Mhaske, Lakshmi Soujanya Chandra, Jayani Rachapudi, Tai Le Quy, Frank Hopfgartner. 126-131 [doi]
• CoGuard: A Large Language Model-Based Multi-Agent System for Autonomous Security Policy Enforcement in Cloud EnvironmentsKazeem Adamson Mutiu, Chijioke Erasmus Ogbonna, Teslim Oluwafemi Kazeem, David Ocheme Onoja, Bolaji Richard Adesina, Oluwaseun Bantale, Olufemi Emmanuel Owolabi, Christopher John Ozurumba. 132-139 [doi]
• Using LLMs as prompt modifier to avoid biases in AI image generatorsRené Peinl. 140-146 [doi]
• Building-CVGAE: Constrained Variational Graph Autoencoder For Architectural Volumetric Design GenerationMohammed El Amine Sehaba, Xavier Marsault, Serge Miguet. 147-154 [doi]
• Teaching LLMs to Move: Generation of Human Activity Sensor Traces with BERTLeonardo Bigelli, Alessandro Bogliolo, Lorenzo Calisti, Chiara Contoli, Nicholas Kania, Emanuele Lattanzi. 155-160 [doi]
• Multi-Agent AI-Based Digital Twin for Smart Parking Energy OptimizationAhcène Bounceur, Asma Gueddoud, Faiçal Azouaou, Abbes Amira, Huseyin Seker. 161-166 [doi]
• Enhancing Stellar Distance Estimation with Uncertainty-Weighted Loss Functions in Deep Learning ModelsNicholas Kania, Deborah Busonero, Chiara Contoli, Valerio Freschi, Emanuele Lattanzi. 167-172 [doi]
• Detection of Structural Damages for Petroglyphs of Bangudae Terrace using Edge Extraction based on Deep LearningSang-Yun Lee, Dong-Jun Shin. 173-178 [doi]
• TempFuseNet: Temporal Coordination and Progressive Attention-Guided Decoding for Bitemporal Change Detection in Remote Sensing ImageryNaveed Sultan, Santitham Prom-on. 179-185 [doi]
• Designing an AI-Driven Framework for Adaptive 3D Multimedia Learning EnvironmentsJiruth Patanachan. 186-191 [doi]
• Defect Detection and Classification using K-Means Clustering for Pulse Compression Favourable Thermal Wave ImagingPriyanka Das 0014, Ravibabu Mulaveesala. 192-196 [doi]
• Category-Level Segmentation of Repeated Objects using SAM2 Memory SystemJiayi Wang, Matthias Kayser, Yipeng Sun. 197-202 [doi]
• Feature-based data-driven movement detection of a lightweight mass on a steel rope using vibration analysisKurt Pichler, Sandra Schober, Sabrina Fleischanderl, Gerhard Kaineder, Christian Wesesslintner, Wolfgang Stadlbauer. 203-208 [doi]
• Can Naive Bayes Still Catch Spam A Study on AI-Modified EmailsTobias Hocevar, Jana Medková. 209-213 [doi]
• A Vision-Language-Action Framework for End-to-End Robotic Manipulation Using Qwen2-VL-InstructMariam Kashkash, Mohsen Guizani. 214-219 [doi]
• Developing an Extended Online Grooming Dataset to Evaluate the Robustness of Context Determination Using BERTJake Street, Isibor Kennedy Ihianle, Ahmad Lotfi. 220-224 [doi]
• Trust Estimation in Online Social Networks via Reinforcement Learning and Hypergraph StructuresNarges Movahedkor, Alireza Bagheri, Seyedeh Leili Mirtaheri, Andrea Pugliese 0001. 225-229 [doi]
• D3X: Dependency Driven, Decentralised Execution for Scalable AI TeamsGarv Singh Rawlot, Samir Ouarbya, Lahcen Ouarbya. 230-234 [doi]
• Applications, Algorithms, Advances, and Challenges: Hyperspectral Imaging and Machine Learning for Livestock Health MonitoringMaisarah Mohd Sufian, Ervin Gubin Moung, Chin Kim On, Mohd. Hanafi Ahmad Hijazi, Jamal Ahmad Dargham, Januarius Gobilik. 235-244 [doi]
• Analysis of Factors affecting Project Team Success in Post-Disaster Reconstruction Projects using Neural Network-based Feature Evaluation TechniqueJun Jun Honorica Moreno, Dante Laroza Silva, Kevin Lawrence Marcelo de Jesus, Renato Borja Jr., Donna Ville Leopoldo Gante, Meriam P. Leopoldo, Bon Ryan Perez Aniban, Crispin Lictaoa, Ralph Alwin Marcelo de Jesus, Jordan Velasco. 245-251 [doi]
• Onboard AI for Environmental Monitoring: Early In-Orbit Results from Multi-Mission DemonstrationsThomas Goudemant, Clotilde Szywala, Adrien Girard. 252-260 [doi]
• Computational Intelligence via Artificial Neural Network-Particle Swarm Optimization for Multi-Directional Displacement Prediction in High-Rise Steel Diagrid FramesDante Laroza Silva, Kevin Lawrence Marcelo de Jesus, Jimmy Catanes, Cirilo Mar Pat Gazzingan III, Crispin Lictaoa, Meriam P. Leopoldo, Jun Jun Honorica Moreno. 261-267 [doi]
• Integrating ML and XAI with Urban Planning: Air Quality Predictions to Support Traffic OptimizationMarija Kopanja, Polina Maglevannaia, Marina Carevic Tomic, Nikola Obrenovic. 268-274 [doi]
• Precision Physician Allocation SystemGurdit Singh, Muhammad Afzal 0001, Huseyin Seker. 275-280 [doi]
• Efficient vision transformer training routine for Diabetic Foot Ulcer semantic segmentationArturas Kairys, Vidas Raudonis. 281-288 [doi]
• AI-Powered Chatbots and Traditional Clinical Methods in Mental Health Assessment: A Comparative ReviewMona Alkhozae. 289-300 [doi]
• Knowledge-Driven Vision-Language Model for Plexus Detection in Hirschsprung's DiseaseYoussef Megahed, Atallah Madi, Dina El Demellawy, Adrian D. C. Chan. 301-305 [doi]
• Fall Detection using Convolutional Neural Network and Image Explainer for Enhancing Elderly CarePaul Chukwurah, Uthman Oyebanji, Daniel Chukwurah, Chukwuebuka Enejere, Ahmed Ishola Moshood. 306-312 [doi]
• BG-δ-K-WLNM: Drug-Target Interaction Prediction Framework Using a Bipartite Graph Model and Local-K-dimensional Weisfeiler Lehman Neural MachineMaryam Fayaz Roohi, Yangjun Chen. 313-321 [doi]
• Predicting Enteric Fever Severity Using Non-Clinical Data: A Machine Learning Approach for Low-Resource SettingsToka Hassan, Said Baadel, Faith-Michael E. Uzoka. 322-327 [doi]