Accelerated discovery of near-zero ablation ultra-high temperature ceramics via GAN-enhanced directionally constrained active learning by Wenjian Guo, Fayuan Li, Lingyu Wang, Li'an Zhu, Yicong Ye, Zhen Wang, Bin Yang, Shifeng Zhang, Shuxin Bai

“…The framework employs GAN for data augmentation, symbolic regression for feature weight derivation, and a self-developed EAI function that incorporates input feature importance weighting to quantify bidirectional deviations from zero ablation rate. …”
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Predicting Accident Severity on Taiwan Highways Using Machine Learning and Electronic Toll Collection (ETC) Data by Pei-Chun Lin, Kuan-Yen Chen, Jenhung Wang

“…This study aims to develop a machine learning-based framework for predicting the severity of highway traffic accidents by leveraging high-resolution data from Taiwan’s Electronic Toll Collection (ETC) system. …”
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"Svag elev" som social representation i Statens offentliga utredningar by Therese Friberg

“… Classifications of pupils as ‘weak’ have featured during the last century in Sweden and are still present in contemporary descriptions of pupils. …”
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Hybrid AE and Bi-LSTM-Aided Sparse Multipath Channel Estimation in OFDM Systems by Vijayakumar Kondepogu, Budhaditya Bhattacharyya

“…AE handles feature extraction, while Bi-LSTM performs estimation. …”
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Modeling Short-Term Drought for SPEI in Mainland China Using the XGBoost Model by Fanchao Zeng, Qing Gao, Lifeng Wu, Zhilong Rao, Zihan Wang, Xinjian Zhang, Fuqi Yao, Jinwei Sun

“…Accurate drought prediction is crucial for optimizing water resource allocation, safeguarding agricultural productivity, and maintaining ecosystem stability. This study develops a methodological framework for short-term drought forecasting using SPEI time series (1979–2020) and evaluates three predictive models: (1) a baseline XGBoost model (XGBoost1), (2) a feature-optimized XGBoost variant incorporating Pearson correlation analysis (XGBoost2), and (3) an enhanced CPSO-XGBoost model integrating hybrid particle swarm optimization with dual mechanisms of binary feature selection and parameter tuning. …”
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A deep learning model based on self-supervised learning for identifying subtypes of proliferative hepatocellular carcinoma from dynamic contrast-enhanced MRI by Hui Qu, Shuairan Zhang, Xuedan Li, Yuan Miao, Yuxi Han, Ronghui Ju, Xiaoyu Cui, Yiling Li

“…The model analyzes temporal and spatial patterns in DCE-MRI data to identify the proliferative subtype efficiently and accurately. …”
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Remaining useful life prediction of a small sample of aero-engine based on an improved gray Markov model by Dong-hai Li, Ji-liang Tu, Hui Liu, Nai-zhi Liao

“…To address this issue, this study presents a novel data-physics fusion framework using the NASA turbine engine public dataset as the operational data for the study. First, a two-stage feature engineering strategy is designed: (1) Spearman correlation analysis identifies degradation-sensitive physical parameters. (2) Principal component analysis reduces dimensionality while preserving degraded trajectory patterns. …”
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Trajectory Prediction and Intention Recognition Based on CNN-GRU by Jinghao Du, Dongdong Lu, Fei Li, Ke Liu, Xiaolan Qiu

“…Accurate trajectory prediction and intention recognition are essential for effective decision-making, as different intents manifest in distinct trajectory patterns. This study focuses on trajectory prediction and intention recognition for airborne moving targets by proposing an integrated approach that leverages trajectory data for both tasks. …”
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A topology-guided high-quality solution learning framework for security-constraint unit commitment based on graph convolutional network by Liqian Gao, Lishen Wei, Shichang Cui, Jiakun Fang, Xiaomeng Ai, Wei Yao, Jinyu Wen

“…Firstly, a GCN-based method is presented to learn the potential patterns between commitments and graph data associated with bus feature and power grid topology. …”
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Impact of Heat and Pressure Processing Treatments on the Digestibility of Peanut, Hazelnut, Pistachio and Cashew Allergens by Claudia Arribas, Africa Sanchiz, Mercedes M. Pedrosa, Selene Perez-Garcia, Rosario Linacero, Carmen Cuadrado

“…Food processing can alter protein biochemical properties, impacting immunoreactivity and allergenicity. A key feature of food allergens is their resistance to enzymatic digestion, particularly by pepsin and trypsin. …”
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Atypical cristae in bundle sheath mitochondria in leaves of Atriplex tatarica (Chenopodiaceae s. str. / Amaranthaceae s. l.) by Fediuk O., Bilyavska N., Akimov Yu., Zolotareva O.

“…Electron microscopic analysis of leaf ultrastructure patterns of Atriplex tatarica (Chenopodiaceae s. str. / Amaranthaceae s. l.) revealed a prominent feature in mitochondria in bundle sheath cells (BSCs). …”
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Exploring Conceptualizations of Disability Using Story-Completion Methods by Nicole Giouridis, Toni Louise Williams, Julia McKenna, Jennifer Rose Tomasone

“…Seventy-four graduate and undergraduate students from a Canadian university completed one of two versions of a story stem featuring an individual with a physical disability who was either a classmate or a potential romantic partner. …”
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Interactive online learning method for students based on artificial intelligence by Cizhang Li, Wenfen Yin

“…The proposed DMO-GRU framework leverages the optimization capability of DMO for feature selection and parameter tuning, while GRU effectively captures temporal learning patterns in student data. …”
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Analyzing and Rewarding Credit Card Spending Habits in India: a Machine Learning Approach by Renuka Agrawal, Aryan Khanna, Safa Hamdare

“…However, there is a gap in developing a tailored system that optimizes sales and reward structures for these companies. …”
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Microwave synthesized and laser activated hyaluronic/polyacrylate/basil seed cloud seeding glaciogenic/hygroscopic nanocomposite by Sholeh Masoomi, Mohammad Mahdi Doroodmand, Fazlolah Eshghi

“…A new approach involving polarized CO2 laser ablation was developed to enhance the nanocomposite’s active surface area. …”
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A corpus-based assessment of vocabulary in interpreting textbooks by Dandan Sheng, Xin Li

“…Abstract Undergraduate interpreting training programs rely heavily on high-quality textbooks to develop student interpreters’ interpreting competence. …”
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Infectivity and fatality of influenza in pre- and post-COVID-19 pandemic year. by Shuanglin Jing, Hao Wang

“…We aim to compare influenza's epidemiological characteristics between pre-pandemic and post-pandemic periods to inform public health responses. We develop two influenza transmission models incorporating age structure and multi-strain dynamics, featuring time-varying transmission and mortality rates. …”
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Integrative analysis of RNA-Seq data and machine learning approaches to identify Biomarkers for Rhizoctonia solani resistance in sugar beet by Bahman Panahi, Mahdi Hassani, Nahid Hosseinzaeh Gharajeh

“…We ranked differentially expressed genes (DEGs) using feature-weighting algorithms, such as Relief and kernel-based methods, to model expression patterns between sensitive and tolerant cultivars. …”
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Artificial intelligence analysis in cyber domain: A review by Liguo Zhao, Derong Zhu, Wasswa Shafik, S Mojtaba Matinkhah, Zubair Ahmad, Lule Sharif, Alisa Craig

“…A data set of average feature counts has been executed through a Splunk search command in 1-min intervals. …”
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Integrated pixel-level crack detection and quantification using an ensemble of advanced U-Net architectures by Rakshitha R, Srinath S, N Vinay Kumar, Rashmi S, Poornima B V

“…Automated pavement crack detection faces significant challenges due to the complex shapes of crack patterns, their similarity to non-crack textures, and varying environmental conditions such as lighting and noise. …”
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