Anti-atherosclerotic effect of lipid/cholesterol-cyclodextrin inclusion complexes similar to free cyclodextrins in ApoE-/- mice fed a high-fat diet by Yuanfang Li, Yuan Zhang, Mengyi Lan, Zhilu Fan, Tingting Gong, Langtao Xu, Tong Rong, Kun Wang, Huaying Wang, Meiying Ao, Yong Chen

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Greenhouse monitoring with wireless sensor network by Samira Torabi, Lu Fan

“…It likewise shows the continuous observation of boundaries like temperature, and dampness, as well as the aggregate power utilization of the framework, with the assistance of a PC-based GUI application, created on the Java stage.…”
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Inventorying the Documentation of the Ordinary City: A Case Study on the City of Chiang Mai (Thailand) by Pijika Pumketkao-Lecourt

“…The archival standard ISAD(G) was adopted for working on an application Access to Memory (AtoM) which allowed inventorying and describing the data.…”
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Catastrophic-risk-aware reinforcement learning with extreme-value-theory-based policy gradients☆ by Parisa Davar, Frédéric Godin, Jose Garrido

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An annual cropland extent dataset for Africa at 30 m spatial resolution from 2000 to 2022 by Z. Lou, Z. Lou, D. Peng, D. Peng, Z. Shi, Z. Shi, H. Wang, K. Liu, Y. Zhang, X. Yan, X. Yan, Z. Chen, Z. Chen, S. Ye, S. Ye, L. Yu, J. Hu, J. Hu, J. Hu, Y. Lv, Y. Lv, Y. Lv, H. Peng, H. Peng, Y. Zhang, Y. Zhang, Y. Zhang, B. Zhang, B. Zhang

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Spatial-Temporal Sequence Attention Based Efficient Transformer for Video Snow Removal by Tao Gao, Qianxi Zhang, Ting Chen, Yuanbo Wen

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Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis by Pegah Salehi, Sajad Amouei Sheshkal, Vajira Thambawita, Sushant Gautam, Saeed S. Sabet, Dag Johansen, Michael A. Riegler, Pål Halvorsen

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Bone Segmentation in Low-Field Knee MRI Using a Three-Dimensional Convolutional Neural Network by Ciro Listone, Diego Romano, Marco Lapegna

“…These results demonstrate that the model achieves accurate segmentation with a high degree of overlap compared to manually segmented reference data. This accuracy results from meticulous fine-tuning of the network, along with the application of advanced data augmentation and post-processing techniques.…”
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An Enhanced Genetic Algorithm for Optimized Educational Assessment Test Generation Through Population Variation by Doru-Anastasiu Popescu

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Prediction of IPO performance from prospectus using multinomial logistic regression, a machine learning model by Mazin Fahad Alahmadi, Mustafa Tahsin Yilmaz

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LLMs in Cyber Security: Bridging Practice and Education by Hany F. Atlam

“…Their ability to process unstructured data and generate context-aware outputs supports both operational tasks and educational initiatives. …”
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A Comparative Study of Ensemble Machine Learning and Explainable AI for Predicting Harmful Algal Blooms by Omer Mermer, Eddie Zhang, Ibrahim Demir

“…This study enhances the prediction of HABs in Lake Erie, part of the Great Lakes system, by utilizing ensemble machine learning (ML) models coupled with explainable artificial intelligence (XAI) for interpretability. Using water quality data from 2013 to 2020, various physical, chemical, and biological parameters were analyzed to predict chlorophyll-a (Chl-a) concentrations, which are a commonly used indicator of phytoplankton biomass and a proxy for algal blooms. …”
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Pyramidal Predictive Network V2: An Improved Predictive Architecture and Training Strategies for Future Perception Prediction by Chaofan Ling, Junpei Zhong, Weihua Li, Ran Dong, Mingjun Dai

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Statistical Learning for Semantic Parsing: A Survey by Qile Zhu, Xiyao Ma, Xiaolin Li

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ResDecode: Accelerating Large Language Models Inference via Residual Decoding Heads by Ziqian Zeng, Jiahong Yu, Qianshi Pang, Zihao Wang, Huiping Zhuang, Fan Yu, Hongen Shao, Xiaofeng Zou

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RUP-GAN: A Black-Box Attack Method for Social Intelligence Recommendation Systems Based on Adversarial Learning by Siyang Yu, Mingxing Duan, Kezhi Wang, Shenghong Yang

“…However, as the combined application of CPSI and SIRS becomes increasingly widespread, they also face the risk of shilling attacks. …”
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Analysis and Predictions of Spread, Recovery, and Death Caused by COVID-19 in India by Rajani Kumari, Sandeep Kumar, Ramesh Chandra Poonia, Vijander Singh, Linesh Raja, Vaibhav Bhatnagar, Pankaj Agarwal

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Artificial Intelligence in Digital Marketing: Towards an Analytical Framework for Revealing and Mitigating Bias by Catherine Reed, Martin Wynn, Robin Bown

“…Traditional AI centres on supervised learning algorithms to support and enable the application of data rules, predictive functionality and other AI-based features. …”
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Disentangling Reasoning Factors for Natural Language Inference by Xixi Zhou, Limin Zeng, Ziping Zhao, Jiajun Bu, Wenjie Liang, Haishuai Wang

“…In this study, drawing inspiration from the successful application of disentangled variational autoencoders in other areas, we separate and extract the reasoning factor from the basic context of NLI data through latent variational inference. …”
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Sentiment Analysis of Product Reviews Using Machine Learning and Pre-Trained LLM by Pawanjit Singh Ghatora, Seyed Ebrahim Hosseini, Shahbaz Pervez, Muhammad Javed Iqbal, Nabil Shaukat

“…It enables computers to automatically detect and interpret emotions from textual data, covering a spectrum of feelings without direct human intervention. …”
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