Small-Target Detection Algorithm Based on STDA-YOLOv8 by Cun Li, Shuhai Jiang, Xunan Cao

“…A novel network architecture for small-target detection is designed, incorporating a Contextual Augmentation Module (CAM) and a Feature Refinement Module (FRM) to enhance the detection performance for small targets. …”
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Improved Crime Prediction Using Hybrid Neural Architecture Search Together with Hyperparameter Tuning by Rami Ayied Alshahrani, Tariq Jamil Saifullah Khanzada

“…The study considered the robust rank aggregation (RRA) feature selection method to rank and select the best features to predict crime behavior in some countries. …”
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Histogram of Polarization Gradient for Target Tracking in Infrared DoFP Polarization Thermal Imaging by Jianguo Yang, Dian Sheng, Weiqi Jin, Li Li

“…First, a polarization distance calculation model based on normalized cross-correlation (NCC) and local variance is constructed, which enhances the robustness of gradient feature extraction through dynamic weight adjustment. …”
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Delocalized Ag−Ag dimer rattling mode contributes to reduced thermal conductivity and enhanced thermoelectric performance in AgAs2 by Jie Zhang, Minghao Zhan, Wending Wang, Xiaohong Xia, Yun Gao, Zhongbing Huang

“…Layered thermoelectric materials inherently feature a decoupling of electron and phonon transport, attributed to the high electrical conductivity within the covalent atomic layers and the increased phonon scattering at the layer boundaries. …”
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VMDU-net: a dual encoder multi-scale fusion network for polyp segmentation with Vision Mamba and Cross-Shape Transformer integration by Peng Li, Jianhua Ding, Chia S. Lim

“…To enhance semantic understanding of polyp morphology and boundaries, we design a Mamba-Transformer-Merge (MTM) module that performs attention-weighted fusion across spatial and channel dimensions. …”
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Beyond amplitude: Phase integration in bird vocalization recognition with MHAResNet by Jiangjian Xie, Zhulin Hao, Chunhe Hu, Changchun Zhang, Junguo Zhang

“…We propose MHAResNet, a deep learning (DL) model that employs residual blocks and a multi-head attention mechanism to capture salient features from logarithmic power (POW), Instantaneous Frequency (IF), and Group Delay (GD) extracted from bird vocalizations. …”
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DK-SLAM: Monocular Visual SLAM with Deep Keypoint Learning, Tracking, and Loop Closing by Hao Qu, Lilian Zhang, Jun Mao, Junbo Tie, Xiaofeng He, Xiaoping Hu, Yifei Shi, Changhao Chen

“…The performance of visual SLAM in complex, real-world scenarios is often compromised by unreliable feature extraction and matching when using handcrafted features. …”
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Predicting Severe Knee Arthritis Based on Two Inertial Measurement Unit Sensors as a Dynamic Coordinate System Using Classical Machine Learning by Erfan Azizi, Mohammadsadegh Darbankhalesi, Amirhossein Zare, Zahra Sadat Rezaeian, Saeed Kermani

“…The data were applied to these models, and based on their outputs, four performance metrics – accuracy, precision, sensitivity, and specificity – were calculated to assess the classification of these two groups using the mentioned software. …”
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Multiple receiver specific emitter identification by Liting Sun, Zheng Liu, Zhitao Huang

“…In this work, a new multi‐receiver receiving and processing system (MR‐SEI) scheme is proposed to mitigate the influence of receivers based on the analysis of receiver distortion models. After receiving and processing in a specific manner, recognition performance can be enhanced. …”
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FTA-Net: Frequency-Temporal-Aware Network for Remote Sensing Change Detection by Taojun Zhu, Zikai Zhao, Min Xia, Junqing Huang, Liguo Weng, Kai Hu, Haifeng Lin, Wenyu Zhao

“…However, many existing networks primarily focus on learning deep features, without considering the impact of attention and fusion strategies on detection performance. …”
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R2SCAT-LPR: Rotation-Robust Network with Self- and Cross-Attention Transformers for LiDAR-Based Place Recognition by Weizhong Jiang, Hanzhang Xue, Shubin Si, Liang Xiao, Dawei Zhao, Qi Zhu, Yiming Nie, Bin Dai

“…To address these challenges, we propose R2SCAT-LPR, a novel, transformer-based model that leverages self-attention and cross-attention mechanisms to extract rotation-robust place feature descriptors from BEV images. …”
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Differentiation of non-ST-segment elevation myocardial infarction from unstable angina using coronary computed tomography angiography: the role of imaging features and pericoronary... by Yang Lu, Qing Wang, Haifeng Liu, Qi Liu, Siqi Wang, Wei Xing

“…All models were compared regarding their performance. …”
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An improved CNN model in image classification application on water turbidity by Ying Nie, Yuqiang Chen, Jianlan Guo, Shufei Li, Yu Xiao, Wendong Gong, Ruirong Lan

“…Convolutional neural networks (CNN) are widely used in image classification and perform well in feature extraction and classification. …”
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Transforming Early Breast Cancer Detection: A Deep Learning Approach Using Convolutional Neural Networks and Advanced Classification Techniques by Arun Kumar Singh, Bireshwar Dass Mazumdar, Rohit Raja, Kamred Udham Singh, Ankit Kumar, Mohd Asif Shah

“…The approach includes a full evaluation system using metrics such as recall, accuracy, precision, and ROC curves to evaluate the performance of the models. This yields major performance gains for almost all classifiers. …”
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Modeling the Center-to-limb Systematic in Normal-mode Coupling Measurements by Samarth G. Kashyap, Shravan M. Hanasoge

“…The measurements are strongly hampered by systematic effects whose amplitudes are comparable to the signal induced by the flow, and modeling them is therefore crucial. The removal of the center-to-limb (C2L) systematic, which is the largest known feature hampering the inference of meridional flow, has been heuristically performed in helioseismic analyses, but its effect on global modes is not fully understood or modeled. …”
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Geological model calibration based on gradual deformation and connectivity function by Junhao Jin, Shaohua Li, Jun Li, Fang Ding

“…The calibration of geological/geostatistical model realizations by measured data is generally performed through history matching, which is an inversion process. …”
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A Bottom-Up Multi-Feature Fusion Algorithm for Individual Tree Segmentation in Dense Rubber Tree Plantations Using Unmanned Aerial Vehicle–Light Detecting and Ranging by Zhipeng Zeng, Junpeng Miao, Xiao Huang, Peng Chen, Ping Zhou, Junxiang Tan, Xiangjun Wang

“…Our approach first involves performing a trunk extraction based on branch-point density variations and neighborhood directional features, which allows for the precise separation of trunks from overlapping canopies. …”
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Multi-physics ensemble modelling of Arctic tundra snowpack properties by G. J. Woolley, N. Rutter, L. Wake, V. Vionnet, C. Derksen, R. Essery, P. Marsh, R. Tutton, B. Walker, M. Lafaysse, D. Pritchard

“…The top 100 ensemble members of Arctic SVS2-Crocus produced lower continuous ranked probability scores (CRPS) than the default SVS2-Crocus when simulating snow density profiles. The top-performing members of the Arctic SVS2-Crocus ensemble featured modifications that raise wind speeds to increase compaction in snow surface layers and to prevent snowdrift and increase viscosity in basal layers. …”
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The study of promising secure information systems based on signal modeling by V. A. Sizov, D. M. Malinichev, Kh. K. Kuchmezov

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Big Data Analytics for Uncovering Voxel Connectivity Patterns in Attention Deficit Hyperactivity Disorder by Caraka RE, Supardi K, Gio PU, Isnaniawardhani V, Chen RC, Djatmiko B, Pardamean B

“…Feature selection was performed using Boruta, Random Forest in combination with DALEX explainability tools, and Neural Networks. …”
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