Transformer-Based Motion Predictor for Multi-Dancer Tracking in Non-Linear Movements of Dancesport Performance by Zhiling Wang

“…Unlike conventional tracking methods that integrate appearance features, MDSTT processes historical bounding box trajectories through a transformer encoder, capturing both long-range and short-term spatio-temporal dependencies while mitigating occlusion-induced identity switches. …”
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SMEA-YOLOv8n: A Sheep Facial Expression Recognition Method Based on an Improved YOLOv8n Model by Wenbo Yu, Xiang Yang, Yongqi Liu, Chuanzhong Xuan, Ruoya Xie, Chuanjiu Wang

“…Firstly, the proposed method integrates the parameter-free Similarity-Aware Attention Mechanism (SimAM) and MobileViTAttention modules into the CSP Bottleneck with 2 Convolutions(C2f) module of the neck network, aiming to enhance the model’s feature representation and fusion capabilities in complex environments while mitigating the interference of irrelevant background features. …”
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The Problem of Territorial Polarization in Armenia by Gohar Ghambaryan, Vardan Mkhitaryan, Anzhela Ayriyants

“…Furthermore, the article examines specific facets of regional policy geared towards mitigating the polarized territorial development in Armenia. …”
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ERNIE-TextCNN: research on classification methods of Chinese news headlines in different situations by Yumin Yan

“…Then, depthwise separable convolution replaces the traditional convolutional layers in TextCNN, mitigating the risk of overfitting. The MSSE attention mechanism module is proposed to multi-scale integrate global feature information output from convolutional layers, dynamically weighting convolutional feature maps to further enhance the model’s ability to capture key information. …”
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Enhancing the Recommendation of Learning Resources for Learners via an Advanced Knowledge Graph by Chao Duan, Jin Yang, Qiaoling Cui, Wenlong Zhang, Xuelian Wan, Mingyan Zhang

“…Despite numerous efforts and achievements in academia and industry toward more personalized learning, intelligent education tailored to individual learners still faces challenges, such as inadequate user representation and potential information loss during the aggregation of multi-source heterogeneous information features. In recent years, knowledge-graph-based recommendation systems have brought hope for mitigating these issues and achieving more accurate recommendations. …”
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A novel network with enhanced edge information for left atrium segmentation from LGE-MRI by Ze Zhang, Zhen Wang, Xiqian Wang, Kuanquan Wang, Yongfeng Yuan, Qince Li

“…The design of EIEM is grounded in exploring edge details within target region features learned from images. Additionally, it incorporates a Spatially Weighted Cross-Entropy loss function tailored for EIEM, introducing constraints on different regions based on the importance of pixels to edge segmentation, while also mitigating class imbalance through weighted treatment of positive and negative samples.ResultsThe proposed method is validated on the 2018 Atrial Segmentation Challenge dataset. …”
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DVCW-YOLO for Printed Circuit Board Surface Defect Detection by Pei Shi, Yuyang Zhang, Yunqin Cao, Jiadong Sun, Deji Chen, Liang Kuang

“…By enhancing prominent features and suppressing less important ones, this modification allows the model to better focus on key regions, thereby improving feature representation capabilities. …”
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A Comprehensive Framework for Adaptive Electric Vehicle Charging Station Siting and Sizing Based on Transferable Spatio-Temporal Demand Prediction by Yutong Peng, Liqi Ye, Wenrui Ouyang, Qi Xi, Jing Wang, Xiaolin Wang

“…The derived best-performing ConvLSTM model, trained on basic features and calculated charging demand, can be applied to cross-city demand prediction by inputting identical basic features. …”
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Automatic Detect Incorrect Lifting Posture with the Pose Estimation Model by Gee-Sern Jison Hsu, Jie Syuan Wu, Yin-Kai Dean Huang, Chun-Chieh Chiu, Jiunn-Horng Kang

“…We used the OpenPose algorithm to detect and extract key body points to calculate relevant biomechanical features. These extracted features served as inputs to a bidirectional long short-term memory (LSTM) model, which classified lifting postures into correct and incorrect categories. …”
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CGV-Net: Tunnel Lining Crack Segmentation Method Based on Graph Convolution Guided Transformer by Kai Liu, Tao Ren, Zhangli Lan, Yang Yang, Rong Liu, Yuantong Xu

“…This approach effectively addresses the challenge of modeling contextual information in crack feature extraction. Additionally, the Detailed-Macro Feature Fusion (DMFF) module enables multi-scale feature integration by combining detailed and coarse-grained features, mitigating the significant feature loss encountered during the encoding and decoding stages, and further improving segmentation precision. …”
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An Improved Wavelet Soft-Threshold Function Integrated with SVMD Dual-Parameter Joint Denoising for Ancient Building Deformation Monitoring by Jiaxing Zhao, Houzeng Han, Yang Deng, Youqiang Dong, Jian Wang, Wenjin Chen

“…SVMD-DP-IWT (sqtwolog) and SVMD-DP-IWT (minimaxi) effectively retain key vibration signal features during the denoising process. The proposed method significantly preserves vibration features during noise reduction of an ancient building in deformation monitoring, which is crucial for damage assessment.…”
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Adaptability Study of an Unmanned Aerial Vehicle Actuator Fault Detection Model for Different Task Scenarios by Lulu Wang, Yuehua Cheng, Bin Jiang, Yanhua Zhang, Jiajian Zhu, Xiaoyang Tan

“…By employing domain-adversarial learning, the method extracts domain-invariant features, mitigating distribution discrepancies between source and target domains. …”
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Cloud-Based Internet-of-Things System for Long-Term Bridge Bearing Monitoring Using Computer Vision by Gunhee Kim, Junsik Shin, Jongbin Won, Jongwoong Park

“…Bearings play a crucial role in mitigating loads, maintaining stability, and transferring forces between superstructures and substructures. …”
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Detección y diagnóstico de fallas en motores mediante el análisis de vibraciones aplicando técnicas de inteligencia artificial. by Jair Elías Araujo Vargas, Dilan Yesid Franklin Coronel, Victor Manuel Arias Ruiz

“…Currently, the detection and diagnosis of motor faults in industry is essential for reducing both machinery (motor) maintenance costs and mitigating production interruptions. Vibration analysis establishes a competent technique for detecting faults or malfunctions in motors, and its level of accuracy has increased thanks to the combined application of artificial intelligence. …”
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GC-MT: A Novel Vessel Trajectory Sequence Prediction Method for Marine Regions by Haixiong Ye, Wei Wang, Xiliang Zhang

“…Furthermore, high-level spatiotemporal features were extracted using a Mamba Neural Network (MNN) to incorporate time-related dynamics. …”
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Reconnoitering the role of Lipid Metabolites in Ferroptosis by Manikandan Vani Raju, Meenakshi Kaniyur Chandrasekaran, Rathi Muthaiyan Ahalliya, Gopalakrishnan Velliyur Kanniappan

“…Unlike apoptosis, ferroptosis is induced by the accumulation of reactive lipid peroxides and lacks the typical features of cell lysis. Ferroptosis is regulated through mechanisms involving iron accumulation and lipid peroxidation, primarily driven by lipoxygenases. …”
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An improve fraud detection framework via dynamic representations and adaptive frequency response filter by Juncheng Yang, Shuxia Li, Zijun Huang, Junhang Wu

“…With the sequential network, we capture users’ dynamic behavioral features for LSN input. Additionally, in LSN learning, we designed a trainable filter to capture differences between feature channels during information aggregation, mitigating the over-smoothing problem. …”
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A High Resolution Spatially Consistent Global Dataset for CO₂ Monitoring by Andrianirina Rakotoharisoa, Simone Cenci, Rossella Arcucci

“…To implement efficient mitigating strategies, the consistency and accuracy of our monitoring of greenhouse gases at the local level must be improved. …”
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Predictive slope stability early warning model based on CatBoost by Yuan Cai, Ying Yuan, Aihong Zhou

“…Abstract A model for predicting slope stability is developed using Categorical Boosting (CatBoost), which incorporates 6 slope features to characterize the state of slope stability. …”
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Least square predicted acoustic signal based smart accidental management using multi-criterion asynchronous classifier by Rajesh Yadav, Pankaj Agarwal

“…This innovation marks a substantial stride in advancing road safety technology, addressing the critical challenges faced by emerging nations in managing and mitigating the impact of road accidents.…”
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