Deep learning detects entire multiple-size lunar craters driven by elevation data and topographic knowledge by Liyang Xiong, Yanxiang Wang, Haoyu Cao, Yingchao Ren, Sijin Li, Yang Chen, Guoan Tang

“…Our research results can supplement existing manually annotated datasets, providing comprehensive evidence for further studies of the distribution and geological evolution of lunar craters.…”
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Identification of mitophagy-related biomarkers and immune infiltration in polycystic ovarian syndrome by bioinformatic study by Hongjuan Ye, Xicheng Wang, Zhiying He

“…In this study, we aimed to investigate the potential prognostic value of mitophagy-related genes in PCOS patients and to analyze their role in immune infiltration during PCOS pathogenesis and progression. Methods: Training datasets were used for differential expression genes. …”
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Enhancing misogyny detection in bilingual texts using explainable AI and multilingual fine-tuned transformers by Ehtesham Hashmi, Sule Yildirim Yayilgan, Muhammad Mudassar Yamin, Mohib Ullah

“…This paper enhances the methodologies for detecting misogyny by incorporating incremental learning for cutting-edge datasets containing tweets and posts from different sources like Facebook, Twitter, and Reddit, with our proposed approach outperforming these datasets in metrics such as accuracy, F1-score, precision, and recall. …”
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BMNet: Enhancing Deepfake Detection Through BiLSTM and Multi-Head Self-Attention Mechanism by Demao Xiong, Zhan Wen, Cheng Zhang, Dehao Ren, Wenzao Li

“…In our experiments, we extract features from 68 facial landmarks of each video frame and evaluate detection performance on four datasets: UADFV, FF++, Celeb-DF and DFDC. The results show significant improvements over traditional methods. …”
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A novel stereographic semi-circular distribution and enhanced analysis of the posterior corneal curvature of eye by Shakila Bashir, Bushra Masood, Aamir Sanaullah, Laila A. Al-Essa

“…This research seeks to introduce the semi-circular Marshall-Olkin extended Burr-XII distribution tailored for semi-circle datasets. Objectives encompass presenting its fundamental characteristics and applications. …”
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Graph Convolutional Networks for multi-modal robotic martial arts leg pose recognition by Shun Yao, Yihan Ping, Xiaoyu Yue, Xiaoyu Yue, He Chen, He Chen

“…Experimental results on four benchmark datasets—Kinetics-700, Human3.6M, NTU RGB+D, and UTD-MHAD—demonstrate that PoseGCN outperforms existing models, achieving state-of-the-art accuracy and F1 scores.Results and discussionThese findings highlight the model's capacity to generalize across diverse datasets and capture fine-grained pose details, showcasing its potential in advancing complex pose recognition tasks. …”
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Integration of bulk and single-cell RNA-seq reveals prognostic gene signatures in patients with bladder cancer treated with immune checkpoint inhibitors by Mina Cho, Hyun Chang, Ju Han Kim

“…We used two independent datasets to validate the BC-GS. Patients with low BC-GS had a significantly shorter overall survival (OS) than those with high BC-GS (p < 0.05, p < 0.001, respectively). …”
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IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition by George Karantaidis, Athanasios Pantsios, Ioannis Kompatsiaris, Symeon Papadopoulos

“…Deep learning techniques have achieved significant success in Synthetic Aperture Radar (SAR) target recognition using predefined datasets in static scenarios. However, real-world applications demand that models incrementally learn new information without forgetting previously acquired knowledge. …”
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Minimum Description Length and Multi-Criteria Decision Analysis in Predictive Modeling by Petr Silhavy, Katerina Hlavackova-Schindler, Radek Silhavy

“…We conclude that the integration of MDL and MCDA significantly improved model selection across all datasets. The cubic polynomial regression model and the multi-layer perceptron models outperformed other models in terms of AHP score and MDL criterion. …”
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Segment anything model for few-shot medical image segmentation with domain tuning by Weili Shi, Penglong Zhang, Yuqin Li, Zhengang Jiang

“…However, acquiring large labeled datasets remains unattainable due to the substantial expertise and time required for image labeling, as well as heightened patient privacy concerns. …”
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Graph Convolution for Large-Scale Graph Node Classification Task Based on Spatial and Frequency Domain Fusion by Junwen Lu, Lingrui Zheng, Xianmei Hua, Yankun Wang

“…In experiments on OGB datasets, LEGNN reduces training time by 55%-88% compared to GCN and GraphSAGE, and demonstrates higher stability when handling large-scale graph data. …”
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Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Protocol for a Systematic Review by Swati Rajwal, Ziyuan Zhang, Yankai Chen, Hannah Rogers, Abeed Sarker, Yunyu Xiao

“… BackgroundIn recent years, the intersection of natural language processing (NLP) and public health has opened innovative pathways for investigating social determinants of health (SDOH) in textual datasets. Despite the promise of NLP in the SDOH domain, the literature is dispersed across various disciplines, and there is a need to consolidate existing knowledge, identify knowledge gaps in the literature, and inform future research directions in this emerging field. …”
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Death risk prediction model for patients with non-traumatic intracerebral hemorrhage by Yidan Chen, Xuhui Liu, Mingmin Yan, Yue Wan

“…Patients were randomly divided into training, validation, and testing datasets in a ratio of 6:2:2 based on the outcome distribution. …”
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Solving Truthfulness-Privacy Trade-Off in Mixed Data Outsourcing by Using Data Balancing and Attribute Correlation-Aware Differential Privacy by Abdul Majeed, Seong Oun Hwang

“…Extensive experiments are performed on three benchmark datasets to demonstrate the effectiveness of our method in real scenarios. …”
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Development of a handheld GPU-assisted DSC-TransNet model for the real-time classification of plant leaf disease using deep learning approach by Midhun P. Mathew, Sudheep Elayidom, V. P. Jagathy Raj, K. M. Abubeker

“…Through extensive comparative analyses on various datasets and filed tests, the proposed depth wise separable convolutional-TransNet (DSC-TransNet) architecture has demonstrated higher performance in terms of accuracy (99.97%), precision (99.94%), recall (99.94), sensitivity (99.94%), F1-score (99.94%), AUC (0.98) for Grpae leaves across different datasets including bell pepper and tomato. …”
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Integrated Approach for Biomarker Discovery and Mechanistic Insights into the Co-Pathogenesis of Type 2 Diabetes Mellitus and Non-Hodgkin Lymphoma by Zhu Y, Liu J, Wang B

“…This study aimed to identify potential biomarkers and elucidate the molecular mechanisms underlying the co-pathogenesis of T2DM and NHL.Methods: Microarray datasets of T2DM and NHL were downloaded from the Gene Expression Omnibus database. …”
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InceptionDTA: Predicting drug-target binding affinity with biological context features and inception networks by Mahmood Kalemati, Mojtaba Zamani Emani, Somayyeh Koohi

“…We evaluate InceptionDTA across a range of benchmark datasets commonly used in drug-target binding affinity prediction. …”
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Reconfigurable Integrated Photonic Unitary Neural Networks With Phase Encoding Enabled by In-Situ Training by Shengjie Tang, Cheng Chen, Qi Qin, Xiaoping Liu

“…Meanwhile, real-valued datasets still dominate AI research and the encoding strategy is critical for IPUNNs&#x0027; performances. …”
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Mining label-free consistency regularization for noisy facial expression recognition by Yumei Tan, Haiying Xia, Shuxiang Song

“…Moreover, MCR demonstrates superior generalization capability on other datasets with noisy labels, such as CIFAR100 and Tiny-ImageNet.…”
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Microbial diversity and biogeography across gastrointestinal tracts of Takifugu pufferfish revealed by full-length 16S amplicon sequencing by Xingkun Jin, Yan Shi, Zhenlong Sun, Yaohui Wang, Zhe Zhao

“…Here we compiled 78 full and partial-length 16 ​S rRNA amplicon datasets across three anteroposteriorly distinct intestinal sites in a cohort of cohabitating artificial hybrid and purebred Takifugu pufferfishes. …”
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