Intelligent Environmental Health Risk Assessment System for the Elderly in Cold Regions Based on Artificial Intelligence Integrated Development Environment by Tianheng ZHANG, Yao FU, Jian GAO, Huanran XUE

“…The activity area demonstrates intermediate effects with non-significant SBP changes (±1.5 mmHg) and slight mood improvements. The prediction model demonstrates excellent performance metrics across validation testing. …”
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Decoding disease–specific ageing mechanisms through pathway-level epigenetic clock: insights from multi-cohort validationResearch in context by Pan Li, Jijun Zhu, Shenghan Wang, Haowen Zhuang, Shunjie Zhang, Zhongting Huang, Fuqiang Cai, Zhijian Song, Yuxin Liu, Weixin Liu, Sebastian Freidel, Sijia Wang, Emanuel Schwarz, Junfang Chen

“…A two-stage machine learning model aggregated CpG sites into GO or KEGG pathway-level features to predict chronological age. …”
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Coarse-Fine Tracker: A Robust MOT Framework for Satellite Videos via Tracking Any Point by Hanru Shi, Xiaoxuan Liu, Xiyu Qi, Enze Zhu, Jie Jia, Lei Wang

“…In practice, the low resolution of satellite videos, small objects, and complex backgrounds inevitably leads to a decline in detector performance. To alleviate the impact of detector degradation on track, we propose Coarse-Fine Tracker, a framework that integrates the MOT framework with the Tracking Any Point (TAP) method CoTracker for the first time, leveraging TAP’s persistent point correspondence modeling to compensate for detector failures. …”
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Accuracy assessment of DSM in mountainous forest areas generated from GF-7 stereo images assisted by ATLAS/ICESat-2 by J. Xie, X. Yang, Q. Yue, J. Chen, J. Peng

“…However, most current studies focus on accuracy evaluating of GF-7 stereo mapping in bare land, and less on its performance in mountainous forest areas. This study aims to explore the potential of ground control points (GCPs) from the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) to enhance the accuracy of GF-7 digital surface models (DSM) in forested areas, and further evaluate the performance of GF-7 stereo mapping in mountainous forest areas. …”
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A Dataset for Investigations of Amine-Impregnated Solid Adsorbent for Direct Air Capture by Eryu Wang, Liping Luo, Jiachuan Wang, Jiaxin Dai, Shuangyin Li, Lei Chen, Jia Li

“…Each data point is characterized by 28 features including the CO2 capture performance of various adsorbents from diluted to concentrated sources, resulting in 29,857 records. …”
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Motor symptoms of Parkinson’s disease: critical markers for early AI-assisted diagnosis by Ni Yang, Jing Liu, Dan Sun, Jiajun Ding, Lingzhi Sun, Xianghua Qi, Wei Yan

“…Specifically, we summarized the characteristic manifestations of these motor symptoms, analyzed the features of the data currently collected for AI-assisted diagnosis, collected the publicly available datasets, evaluated the performance of existing diagnostic models, and discussed their limitations. …”
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Evolutionary-Driven Convolutional Deep Belief Network for the Classification of Macular Edema in Retinal Fundus Images by Rafael A. García-Ramírez, Ivan Cruz-Aceves, Arturo Hernández-Aguirre, Gloria P. Trujillo-Sánchez, Martha A. Hernandez-González

“…Additionally, a Real-Coded Genetic Algorithm optimizes the parameters of Gabor filters and the network, ensuring optimal feature extraction and classification performance. …”
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Abnormal event detection in surveillance videos through LSTM auto-encoding and local minima assistance by Erkan Sengonul, Refik Samet, Qasem Abu Al-Haija, Ali Alqahtani, Rayan A. Alsemmeari, Bandar Alghamdi, Badraddin Alturki, Abdulaziz A. Alsulami

“…When tested on the CUHK Avenue and UMN datasets, our methodology demonstrated performance with AUCs of 93.8% and 94.1%, respectively, outperforming several baseline models. …”
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Enhancing Route Optimization in Road Transport Systems Through Machine Learning: A Case Study of the Dakhla-Paris Corridor by Najib El Karkouri, Lahcen Hassine, Younes Ledmaoui, Hasna Chaibi, Rachid Saadane, Nourddine Enneya, Mohamed El Aroussi

“…However, these systems face numerous challenges, particularly regarding safety, cost, and route optimization, requiring innovative and practical solutions to improve their overall performance. This paper proposes an in-depth analysis of RTS features forming a detailed dataset collected on the route between Dakhla (Morocco) and Paris (France). …”
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Mobile app review analysis for crowdsourcing of software requirements: a mapping study of automated and semi-automated tools by Rhodes Massenon, Ishaya Gambo, Roseline Oluwaseun Ogundokun, Ezekiel Adebayo Ogundepo, Sweta Srivastava, Saurabh Agarwal, Wooguil Pak

“…Techniques include topic modeling, collocation finding, association rule-based, aspect-based sentiment analysis, frequency-based, word vector-based, and hybrid approaches. …”
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Supervised Wavelet Method to Predict Patient Survival from Gene Expression Data by Maryam Farhadian, Paulo J. G. Lisboa, Abbas Moghimbeigi, Jalal Poorolajal, Hossein Mahjub

“…The results showed that the prediction performance of the Cox model based on supervised wavelet feature extraction was superior to the supervised principal components and partial least squares components. …”
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A Detailed Analysis of the Milky Way Warp Based on Classical Cepheids by Xiaoyue Zhou, Xiaodian Chen, Licai Deng, Shu Wang, Jiyu Wang, Jianxing Zhang

“…Structurally, we identify significant warp features in the 5–9 kpc region of the Galactic disk, where the warp model performs better than the flat model. …”
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Multimodal Data Fusion for Precise Lettuce Phenotype Estimation Using Deep Learning Algorithms by Lixin Hou, Yuxia Zhu, Mengke Wang, Ning Wei, Jiachi Dong, Yaodong Tao, Jing Zhou, Jian Zhang

“…The network incorporated both a feature correction module and a feature fusion module, significantly enhancing the performance in object detection, segmentation, and trait estimation. …”
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Real-Time Cyber-Physical Digital Twin for Low Earth Orbit Satellite Constellation Network Enhanced Wide-Area Power Grid by Tianshi Cheng, Tong Duan, Venkata Dinavahi

“…The framework integrates RustSat for satellite tracking, SatSDN with MiniNet for SDN simulations, and entity-component-system (ECS)-Grid for real-time power system simulation. It features a data-centric design using an ECS framework with a structure-of-arrays memory layout, optimizing cache efficiency and computational performance, and offers high extensibility for interdisciplinary simulations. …”
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Enhancing Ground Penetrating Radar (GPR) Data Analysis Utilizing Machine Learning by Mohanad Shehab, Musab T.S. Al-Kaltakchi, Ammar Dukhan, Wai Lok Woo

“…Gray-Level Co-Occurrence Matrix and Wavelet feature extractor approaches are mixed to extract 48 selected features. …”
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In-Wheel Motor Fault Diagnosis Method Based on Two-Stream 2DCNNs with DCBA Module by Junwei Zhu, Xupeng Ouyang, Zongkang Jiang, Yanlong Xu, Hongtao Xue, Huiyu Yue, Huayuan Feng

“…Comparative studies with SENet, ECANet, CBAM, and single-stream 2DCNN models confirm its superior performance and robustness. …”
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MUFFNet: lightweight dynamic underwater image enhancement network based on multi-scale frequency by Dechuan Kong, Dechuan Kong, Yandi Zhang, Xiaohu Zhao, Yanqiang Wang, Lei Cai

“…A Multi-Scale Enhancement Prior algorithm enhances high-frequency and low-frequency features while the Information Flow Interaction module mitigates information stratification and blockage. …”
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Facial expression recognition using visible and IR by early fusion of deep learning with attention mechanism by Muhammad Tahir Naseem, Chan-Su Lee, Tariq Shahzad, Muhammad Adnan Khan, Adnan M. Abu-Mahfouz, Khmaies Ouahada

“…Initially, we developed single-modality models for visible and infrared datasets by incorporating an attention mechanism into the ResNet-18 architecture. …”
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Remote Sensing Image-Based Building Change Detection: A Case Study of the Qinling Mountains in China by Lei Fu, Yunfeng Zhang, Keyun Zhao, Lulu Zhang, Ying Li, Changjing Shang, Qiang Shen

“…CSHConv mitigates information loss caused by scale heterogeneity, thereby enhancing the effective utilization of multi-scale features. Meanwhile, SSIF models spatial and spectral information jointly, capturing interactions across different spatial scales and spectral domains. …”
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A Novel Method for 3-D Building Structure Determination in Through-the-Wall Radar by Qichang Guo, Xingdong Liang, Yanlei Li

“…The 3-D building structure is modeled as a three-order tensor. Just like the 3-D TV algorithm, the local similarity is considered by the TV regularization constraint to guarantee the reconstruction of the edge. …”
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