SYSTEM AND ALGORITHM OF INTELLIGENT BIOMEDICAL SIGNAL PROCESSING AND ANALYSIS FOR HUMAN HEALTH STATUS REMOTE MONITORING SYSTEM by Nguyen Trong Tuyen, Tran Trong Huu, Nguyen Mau Thach, Zafar M. Yuldashev

“…A specific feature of such algorithms is change of the number of channels used for biomedical signal recording and processing according to the change of patient’s condition. To detect the exacerbation first symptoms by means of the patient's wearable computer, additional channels are activated for recording biomedical signals used to evaluate the expanded complex of diagnostically significant parameters of the disease and their integration when specifying the patient's condition. …”
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Selection Signature Analysis of Whole-Genome Sequences to Identify Genome Differences Between Selected and Unselected Holstein Cattle by Jiarui Cai, Liu Yang, Yahui Gao, George E. Liu, Yang Da, Li Ma

“…An integrated analysis of selection signatures with gene annotation, pathways, and the cattle QTL database demonstrated that the genomic regions under selection are related to milk productivity, health, and reproductive efficiency. The polygenic nature of these complex traits is evident from hundreds of selection signatures and candidate genes, suggesting that long-term artificial selection has acted on the whole genome rather than a few major genes. …”
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Occlusion Vehicle Target Recognition Method Based on Component Model by Haorui Han, Hanshan Li

“…Based on the U-net codec structure, combining multi-scale detection and double constraints loss to improve the visual region segmentation under complex background (VSRS) performance. …”
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Towards sustainable architecture: Enhancing green building energy consumption prediction with integrated variational autoencoders and self-attentive gated recurrent units from mult... by Qing Zeng, Fang Peng, Xiaojuan Han

“…The framework incorporates self-attention mechanisms and Multi-Task Learning (MTL) strategies to capture long-term dependencies and complex patterns in energy consumption time series data, while simultaneously optimizing prediction accuracy and anomaly detection. …”
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Community Clustering and Recommendation Toward Elderly Health Records: Probabilistic Representation Learning and Large Graph Search by Huijiong Ding

“…This approach enables more precise, efficient, and personalized healthcare interventions, wherein the key steps include: 1) Geometry-based feature selection from high-dimensional health data-This effectively reduces dimensionality while preserving discriminative health patterns. 2) Probabilistic multi-topic representations of individual health profiles-These latent space embeddings capture complex health-need interactions. 3) Graph-based community detection via shared clinical/behavioral traits-The algorithm identifies natural clusters with medical relevance. 4) Personalized intervention ranking by community relevance-This ensures tailored care plan recommendations for each subgroup. …”
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Deep Learning Model for Feature Extraction and Anomaly Recognition in High-Dimensional Energy Metering Data by Huakun Que, Zetao Jiang, Zhifeng Zhou, Yongsheng He, Xin Liu

“…Abnormal energy usage in buildings and industries, often caused by system malfunctions, leads to substantial energy waste. Detecting such anomalies is essential for cost control and efficient energy management. …”
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Decoding burn trauma: biomarkers for early diagnosis of burn-induced pathologies by Fadi Khalaf, Daniella Touma, Alexandra Pappas, Lareina Hatim, Stephanie Wojtowicz-Piotrowski, Marc G. Jeschke

“…Abstract Burn injuries represent a significant global challenge due to their multifaceted nature, characterized by a complex cascade of metabolic and immune dysfunction that can result in severe complications. …”
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Environmental Applications of Mass Spectrometry for Emerging Contaminants by Anil Kumar Meher, Akli Zarouri

“…Addressing these challenges necessitates advanced analytical tools capable of detecting and quantifying trace levels of ECs in complex environmental matrices. …”
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Enhancing Privacy by Large Mask Inpainting and Fusion-Based Segmentation in Street View Imagery by Mahdi Khourishandiz, Abdollah Amirkhani

“…Our approach integrates semantic segmentation with 2D priors and multimodal data from cameras and LiDAR to achieve precise object detection in complex urban scenes. Detected regions are seamlessly filled using a large-mask inpainting technique based on fast Fourier convolutions (FFC), enabling efficient generalization to high-resolution imagery. …”
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Evaluation methods of clay stabilizer in shale reservoirs based on X-ray diffraction and capillary suction time by HE Yanlong, WANG Xin, XUE Xiaojia, HUANG Hai, WU Jiang, LIU Xiaoqing, TANG Siyuan, HU Zhiqiang

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Research on Self-Diagnosis and Self-Healing Technologies for Intelligent Fiber Optic Sensing Networks by Ruiqi Zhang, Liang Fan, Dongzhu Lu

“…To address the issue of insufficient reliability of fiber optic sensing networks in complex environments, this study proposes a self-diagnosis and self-healing method based on intelligent algorithms. …”
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Cultural Heritage and Local Self-Government (Case Study of Svetlanovsky Municipality St. Petersburg) by V. A. Semenov, V. V. Ereshkin

“…Petersburg; to search and offer possible variants of local self-government participation in the issue of efficient cultural heritage protection; to study reasons of necessity of local self-government in the new conditions of modern community of St. …”
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Indoor Air Pollution Source Localization Based on Small-Sample Training Convolutional Neural Networks by Tiancheng Ye, Mengtao Han

“…The research findings provide an efficient and reliable deep learning solution for the localization of pollution sources in complex spaces.…”
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Revolutionizing Financial management: Unleashing the power of AI for Sustainable Growth by Bhokare Arati S., Patil Snehal D., Kulkarni Praveen. M.

“…By cultivating more sustainable, effective, and efficient corporate practices, artificial intelligence (AI) reinvents financial management. …”
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STUDY OF FEATURES OF MICROFLORA OF PATIENTS WITH DISEASES OF THE ORAL MUCOSA. EVALUATION OF THE EFFICACY OF PRODUCTS BASED ON BACTERIOPHAGES "FAGODENT" IN THE TREATMENT OF CHRONIC... by E. A. Volkov, M. L. Polovets, K. E. Isadzhanyan, G. S. Pashkova, V. V. Nikitin, V. M. Popova, E. L. Zhilenkov

“…Effective complex treatment of patients with pathology of the oral mucosa (OM) includes drug effects on pathogenic bacteria as a possible etiological factor in the development of these diseases.Purpose. …”
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Leveraging Variable Frequency Drive Data for Nondestructive Testing and Predictive Maintenance in Industrial Systems by Carl Lee Tolbert

“…Most VFDs continuously monitor essential parameters such as motor speed, torque, efficiency, and power consumption, facilitating sensorless condition monitoring that helps detect early-stage motor and apparatus faults without additional hardware. …”
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Situation Awareness and Tracking Algorithm for Countering Low-Altitude Swarm Target Threats by Nannan Zhu, Fuli Zhong, Xueyue Lei, Guo Niu, Hongtu Xie, Yue Zhang

“…The system achieves full spatiotemporal coverage without beam scanning or complex resource scheduling, enabling simultaneous detection and tracking of multiple targets. …”
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Automated identification of soil functional components based on NanoSIMS data by Yahan Hu, Johann Maximilian Zollner, Carmen Höschen, Martin Werner, Steffen A. Schweizer

“…NanoSIMS technique allows to investigate the micro-spatial organization in complex structures in multiple scientific fields such as material science, cosmochemistry, and biogeochemistry. …”
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Research on a traffic flow statistical algorithm based on YBOVDT and SAM2 by Yuanyuan Wang, Zheng Ding, Jiange Liu, Kexiao Wu, Md Sharid Kayes Dipu, Tingmei Ma, Yonghao Ma, Haiyan Zhang

“…The closed-set object detection algorithms they employ can only perform detections based on fixed categories, which leads to limited recognition scope and weak model generalization ability.Moreover, the tracking algorithms used are unstable and have low computational efficiency. …”
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Swin-FSNet: A Frequency-Aware and Spatially Enhanced Network for Unpaved Road Extraction from UAV Remote Sensing Imagery by Jiwu Guan, Qingzhan Zhao, Wenzhong Tian, Xinxin Yao, Jingyang Li, Wei Li

“…The efficient recognition of unpaved roads from remote sensing (RS) images holds significant value for tasks such as emergency response and route planning in outdoor environments. …”
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