Robust Hybrid Data-Level Approach for Handling Skewed Fat-Tailed Distributed Datasets and Diverse Features in Financial Credit Risk by Musara Keith R, Ranganai Edmore, Chimedza Charles, Matarise Florence, Munyira Sheunesu

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Image First or Text First? Optimising the Sequencing of Modalities in Large Language Model Prompting and Reasoning Tasks by Grant Wardle, Teo Sušnjak

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Optimizing forensic file classification: enhancing SFCS with βk hyperparameter tuning by D. Paul Joseph, Viswanathan Perumal

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Modeling the different conformations of the human mitochondrial ADP/ATP carrier using AlphaFold and molecular dynamics simulations of the protein-ligand complexes by Virginia Quadrotta, Fabio Polticelli

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Scenario-Based Association Rule Mining in Veterinary Services Using FP-Growth: Differentiating Clinical and Customer-Driven Patterns by Rafi Dio, Aulia Agung Dermawan, Dwila Sempi Yusiani, Rifaldi Herikson, Andikha Andikha, Dwi Ely Kurniawan, Adyk Marga Raharja

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Leveraging generative AI for course learning outcome categorization using Bloom's taxonomy by Omaima Almatrafi, Aditya Johri

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Research on High-Reliability Energy-Aware Scheduling Strategy for Heterogeneous Distributed Systems by Ziyu Chen, Jing Wu, Lin Cheng, Tao Tao

“…With the demand for workflow processing driven by edge computing in the Internet of Things (IoT) and cloud computing growing at an exponential rate, task scheduling in heterogeneous distributed systems has become a key challenge to meet real-time constraints in resource-constrained environments. …”
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Novel cross-dimensional coarse-fine-grained complementary network for image-text matching by Meizhen Liu, Anis Salwa Mohd Khairuddin, Khairunnisa Hasikin, Weitong Liu

“…The proposed CDGCN is evaluated on two multimodal datasets, Flickr30K and MS-COCO against state-of-the-art methods. …”
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Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis by Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Sungwon Kim, Kaywan Othman Ahmed, Salim Heddam

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A step forward in the diagnosis of urinary tract infections: from machine learning to clinical practice by Emilio Flores, Laura Martínez-Racaj, Álvaro Blasco, Elena Diaz, Patricia Esteban, Maite López-Garrigós, María Salinas

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Development of a Predictive Model for the Biological Activity of Food and Microbial Metabolites Toward Estrogen Receptor Alpha (ERα) Using Machine Learning by Maksim Kuznetsov, Olga Chernyavskaya, Mikhail Kutuzov, Daria Vilkova, Olga Novichenko, Alla Stolyarova, Dmitry Mashin, Igor Nikitin

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Design of buffer property for the new enrichment method of circulating tumor cell based on immunomagnetic-negative separation by Kazuaki Hoshi, Yasinjan Hashim, Shinsaku Togo, Shoko Saiwaki, Hiroaki Motomura, Issei Sumiyoshi, Shun Nakazawa, Yusuke Ochi, Chieko Miyoshi, Rihyang Heo, Yoko Tabe, Kanae Abe, Yasuo Urata, Kazuhisa Takahashi

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Flavivirus NS4B proteins do not form homodimers: discrepancies with an AlphaFold-based oligomeric model by Wahyu Surya, Paula Tan, Shwe Sin Honey, Devanshu Mehta, Jaume Torres

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Advanced deep learning and transfer learning approaches for breast cancer classification using advanced multi-line classifiers and datasets with model optimization and interpretabi... by Xiang Zhang, Wei Shao, Ming Qiu, Chenglin Xiao, Liming Ma

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Fault Diagnosis in Power Generators: A Comparative Analysis of Machine Learning Models by Quetzalli Amaya-Sanchez, Marco Julio del Moral Argumedo, Alberto Alfonso Aguilar-Lasserre, Oscar Alfonso Reyes Martinez, Gustavo Arroyo-Figueroa

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SA-FLIDS: secure and authenticated federated learning-based intelligent network intrusion detection system for smart healthcare by Radjaa Bensaid, Nabila Labraoui, Ado Adamou Abba Ari, Hafida Saidi, Joel Herve Mboussam Emati, Leandros Maglaras

“…Smart healthcare systems are gaining increased practicality and utility, driven by continuous advancements in artificial intelligence technologies, cloud and fog computing, and the Internet of Things (IoT). However, despite these transformative developments, challenges persist within IoT devices, encompassing computational constraints, storage limitations, and attack vulnerability. …”
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Sharing electricity over money: Third-person perspectives on human-robot dictator game outcomes by Andreea E. Potinteu, Nadia Said, Gerrit Anders, Markus Huff

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Effects of adaptive feedback generated by a large language model: A case study in teacher education by Annette Kinder, Fiona J. Briese, Marius Jacobs, Niclas Dern, Niels Glodny, Simon Jacobs, Samuel Leßmann

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Self-learning type-2 fuzzy systems with adaptive rule reduction for time series forecasting by Abdulwhab Alkharashi, Gaganjot Kaur, Hadeel Alsolai, Hatim Dafaalla, Somia Asklany, Othman Alrusaini, Ali Alqazzaz, Menwa Alshammeri

“…Complex datasets, including Mackey-Glass chaotic time series and Taiwan Capitalization Weighted Stock Index (TAIEX), are used to evaluate the model, which demonstrates its superior forecasting performance compared to state-of-the-art models. …”
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Optimized deep learning approach for lung cancer detection using flying fox optimization and bidirectional generative adversarial networks by Manal Abdullah Alohali, Hamed Alqahtani, Shouki A. Ebad, Faiz Abdullah Alotaibi, Venkatachalam K., Jaehyuk Cho

“…The proposed system was evaluated using key performance metrics—accuracy, precision, recall, and F1-score—and demonstrated superior performance to conventional models. …”
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