MKER: multi-modal knowledge extraction and reasoning for future event prediction by Chenghang Lai, Shoumeng Qiu

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Student Engagement Dataset (SED): An Online Learning Activity Dataset by M. S. S. Kassim, Z. H. Azizul, A. A. H. Ahmad Fuaad

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A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis by Fenglin Liu, Zheng Li, Qingyu Yin, Jinfa Huang, Jiebo Luo, Anshul Thakur, Kim Branson, Patrick Schwab, Bing Yin, Xian Wu, Yefeng Zheng, David A. Clifton

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A Cloud-based Sales and Stock Control System for Superstores under Non-zero Constant Lead Time Constraint by Fidelis Ikechukwu Onah, Jacinta Chioma Onuoha

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Intelligent decision support framework for assessment of alternative vehicle technologies in transportation system: A sustainable approach toward environmental remedy by Ibrahim Alrashdi, Ahmed M. Ali, Karam M. Sallam, Mohamed Abdel-Basset

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A semi-supervised learning technique assisted multi-objective evolutionary algorithm for computationally expensive problems by Zijian Jiang, Chaoli Sun, Xiaotong Liu, Hui Shi, Sisi Wang

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DFTD-YOLO: Lightweight Multi-Target Detection From Unmanned Aerial Vehicle Viewpoints by Yuteng Chen, Zhaoguang Liu

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BenthicNet: A global compilation of seafloor images for deep learning applications by Scott C. Lowe, Benjamin Misiuk, Isaac Xu, Shakhboz Abdulazizov, Amit R. Baroi, Alex C. Bastos, Merlin Best, Vicki Ferrini, Ariell Friedman, Deborah Hart, Ove Hoegh-Guldberg, Daniel Ierodiaconou, Julia Mackin-McLaughlin, Kathryn Markey, Pedro S. Menandro, Jacquomo Monk, Shreya Nemani, John O’Brien, Elizabeth Oh, Luba Y. Reshitnyk, Katleen Robert, Chris M. Roelfsema, Jessica A. Sameoto, Alexandre C. G. Schimel, Jordan A. Thomson, Brittany R. Wilson, Melisa C. Wong, Craig J. Brown, Thomas Trappenberg

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Embeddings by Potts Jason

“…I argue here that the concept of embedding (understood in the mathematical and computer science sense) provides a general way of understanding the relation between generative AI, written language and semiotics, and animal cognition when understood recursively. …”
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Predicting Postoperative Re-Tear of Arthroscopic Rotator Cuff Repair Using Artificial Intelligence on Imbalanced Data by Zhibin Zhang, Zhewei Zhang, Zhaoxiang Peng, Yihong Dong

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A novel aggregated coefficient ranking based feature selection strategy for enhancing the diagnosis of breast cancer classification using machine learning by E. Sreehari, L. D. Dhinesh Babu

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Headline-Guided Extractive Summarization for Thai News Articles by Pimpitchaya Kositcharoensuk, Nakarin Sritrakool, Ploy N. Pratanwanich

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EMFF-Net: Edge-Enhancement Multi-Scale Feature Fusion Network by Xuhui Guan, Jiwang Zhou, Jian Chen, Xiaodan Xu, Yizhang Jiang, Kaijian Xia

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A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

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Edge-level multi-constranint graph pattern matching with lung cancer knowledge graph by Houdie Tu, Lei Li, Lei Li, Zhenchao Tao, Zhenchao Tao, Zan Zhang, Zan Zhang

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Anomaly detection solutions: The dynamic loss approach in VAE for manufacturing and IoT environment by Praveen Vijai, Bagavathi Sivakumar P

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Leveraging Quantum LSTM for High-Accuracy Prediction of Viral Mutations by Prashanth Choppara, Bommareddy Lokesh

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Efficient Handling of Data Imbalance in Health Insurance Fraud Detection Using Meta-Reinforcement Learning by Supriya Seshagiri, K. V. Prema

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Comparative Analysis of RESTful, GraphQL, and gRPC APIs: Perfomance Insight from Load and Stress Testing by Steven Chandra, Ahmad Farisi

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Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers by Camilo E. Valderrama, Camilo E. Valderrama, Anshul Sheoran

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