GB-SAR Engineering Interference Suppression Method Integrating Amplitude-Phase Feature Analysis and Robust Regression by Wenting Zhang, Tao Lai, Yuanhui Mo, Haifeng Huang, Qingsong Wang, Zhihua Zhou

“…Subsequently, a two-stage suppression model based on robust estimation theory is developed to effectively suppress interference. …”
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Multiparametric MRI-based radiomics for preoperative prediction of parametrial invasion in early-stage cervical cancer by Chongshuang Yang, Man Li, Xin Yi, Lin Wang, Guangxian Kuang, Chunfang Zhang, Benyong Yao, Zhihong Qin, Tianliang Shi, Qiang Jiang

“…Feature selection was performed using the correlation coefficient, recursive feature cancellation, and the least absolute shrinkage and selection operator algorithm. Radiomics models based on single-sequence, dual-sequence, and multi-sequence combinations were then constructed. …”
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Factors influencing the effectiveness of SM-VCE method in solving 3D surface deformation by Xupeng Liu, Guangyu Xu, Mingkai Chen, Tengxu Zhang

“…Currently, most research focuses on improving the above types of methods. However, some key factors in the coseismic 3D surface deformation inversion are rarely mentioned, such as the influence of window size on the inversion results in the strain model and variance component estimation method (SM-VCE), and whether the outliers in the observational data are considered. …”
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Automatic joint segmentation and classification of breast ultrasound images via multi-task learning with object contextual attention by Yaling Lu, Fengyuan Sun, Jingyu Wang, Kai Yu

“…For classification, the model leverages high-level features extracted from unenhanced segmentation masks to improve accuracy. …”
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Low-Rank Regularized Correlation Filter for Hyperspectral Video Object Tracking by Na-Na Li, Heng-Chao Li, Jian-Li Wang, Xiong-Fei Geng, Jie Pan

“…Hyperspectral videos can provide abundant spectral–spatial–temporal information, which brings new opportunities for improving object tracking performance in complex scenes. …”
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A Cooperative Online Learning-Based Load Balancing Scheme for Maximizing QoS Satisfaction in Dense HetNets by Hyungwoo Choi, Taehwa Kim, Hong-Shik Park, Jun Kyun Choi

“…In addition, we formulated a Markov decision process (MDP) model that is solved with a cooperative multi-agent online reinforcement learning algorithm. …”
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Flexible imputation toolkit for electronic health records by Alireza Vafaei Sadr, Jiang Li, Wenke Hwang, Mohammed Yeasin, Ming Wang, Harold Lehmann, Ramin Zand, Vida Abedi

“…Finally, Pympute investigates how missingness and skewness, influence the selection of optimal imputation algorithms within the Flexible framework. Our findings validate that Pympute’s Flexible method significantly improves imputation performance compared to the single model approach. …”
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Methodology For Extracting Poplar Planted Fields From Very High-Resolution Imagery Using Object-Based Image Analysis and Feature Selection Strategy by E. O. Yilmaz, T. Kavzoglu, I. Colkesen, H. Tonbul, A. Teke

“…Results revealed that the SVM classifier achieved the highest overall accuracy (91.73%) with 38 features out of 88 features, about 3% improvement compared to the other algorithms. According to the SHAP analysis, the IHS feature was the most effective one in the constructed RF model, followed by the CI (red edge), NDVI-1 and NDVI-2 vegetation indices.…”
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Identifying where and when urban renewal occurs: a continuous change detection-based framework using two decades’ worth of Landsat data by Chong Liu, Qi Zhang, Huabing Huang, Hanzeyu Xu, Xiao Cheng

“…By leveraging the Continuous Change Detection and Classification (CCDC) algorithm, we designed a decision tree model to identify pixels experiencing urban renewal and utilized the temporal contextual knowledge to estimate temporal metrics, including start time (ST), end time (ET), and duration (DUR). …”
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Fast Monocular Measurement via Deep Learning-Based Object Detection for Real-Time Gas-Insulated Transmission Line Deformation Monitoring by Guiyun Yang, Wengang Yang, Entuo Li, Qinglong Wang, Huilong Han, Jie Sun, Meng Wang

“…In this study, we introduce a rapid monocular measurement method that leverages deep learning for real-time monitoring. A YOLOv10 model is developed for automatically identifying regions of interest (ROIs) that may exhibit deformations. …”
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2TSS: Two-Tier Semantic Segmentation Framework With Enhancement for Hotspot Detection of Solar Photovoltaic Thermal Images by Nurul Huda Ishak, Iza Sazanita Isa, Muhammad Khusairi Osman, Mohd Shawal Jadin, Kamarulazhar Daud, Mohd Zulhamdy Ab Hamid

“…In summary, the proposed method demonstrates that applying a combined enhancement algorithm prior to training for hotspot segmentation promotes superior performance with an accuracy improvement of 2.26% over the non-enhancement approach.…”
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The Influence of Non-Landslide Sample Selection Methods on Landslide Susceptibility Prediction by Yu Fu, Zhihao Fan, Xiangzhi Li, Pengyu Wang, Xiaoyue Sun, Yu Ren, Wengeng Cao

“…By integrating these methods with the random forest (RF) algorithm, three models—random-RF, buffer zone-RF, and EIV-RF—were developed and evaluated. …”
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Intelligent hierarchical federated learning system based on semi-asynchronous and scheduled synchronous control strategies in satellite network by Qiang Mei, Rui Huang, Duo Li, Jingyi Li, Nan Shi, Mei Du, Yingkang Zhong, Chunqi Tian

“…Additionally, the cloud server selection algorithm and the edge-client semi-asynchronous control strategy minimize clients’ waiting time, improving the overall efficiency of the FL process. …”
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Thermal analysis of hybrid nanofluid flow in blood vessels with peristalsis: Case study for Hall current and radiative heat transfer by Zafar Iqbal, Imtiaz Ahmad, Sami Ullah Khan, Lioua Kolsi, Nidhal Becheikh, Kaouther Ghachem

“…Owing to exclusive thermal applications of hybrid nanomaterials, significant strides of researchers have been intended in improving the heat transfer efficiency, consuming the energy sources and enable revolutions in thermal engineering, cooling processes, management technologies, biomedical applications etc. …”
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Multi sensor based monitoring of paralyzed using Emperor Penguin Optimizer and Deep Maxout Network by Vijaya Gunturu, J. Kavitha, Swapna Thouti, N. K. Senthil Kumar, Kamal Poon, Ayman A. Alharbi, Amar Y. Jaffar, V. Saravanan

“…The Emperor Penguin Optimizer Algorithm (EPOA) was used to select the features sent from the Arduino board to the ESP8266-Wi-Fi module. …”
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Semantic and Geometric Fusion for Object-Based 3D Change Detection in LiDAR Point Clouds by Abderrazzaq Kharroubi, Fabio Remondino, Zouhair Ballouch, Rafika Hajji, Roland Billen

“…The proposed method improves the efficiency, interpretability, and spatial coherence of change classification, making it well suited for large-scale monitoring applications.…”
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Numerical simulation of flue gas desulfurization by horizontal spray tower by TIAN Hai-jun, XING Yi, SONG Cun-yi, TONG Zheng-song, ZHAO Rong-zhi, SU Wei, ZHANG Qiu-lin, LENG Tingshang

“…However, the actual project still requires further improvement. In order to study the influence of the layout pattern of different spray on the internal flow field of the horizontal spray tower, the physical model of the horizontal spray tower was built, the grid was divided by Icem software, the Fluent software was used to simulate the numerical simulation. …”
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A retina-inspired pathway to real-time motion prediction inside image sensors for extreme-edge intelligence by Subhradip Chakraborty, Shay Snyder, Md Abdullah-Al Kaiser, Maryam Parsa, Gregory Schwartz, Akhilesh R Jaiswal

“…Additionally, integrating the sensor and MP compute die using a 3D Cu–Cu hybrid bonding approach improves design compactness by minimizing area usage and simplifying routing complexity. …”
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Recurrent Neural-Based Vehicle Demand Forecasting and Relocation Optimization for Car-Sharing System: A Real Use Case in Thailand by Peerapon Vateekul, Panyawut Sri-iesaranusorn, Pawit Aiemvaravutigul, Adsadawut Chanakitkarnchok, Kultida Rojviboonchai

“…In this paper, we propose a novel vehicle relocation system with a major improvement in threefolds: (i) data preprocessing, (ii) demand forecasting, and (iii) relocation optimization. …”
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Optimized physics-informed neural networks for deciphering of external source pollutants in a swirling flow induced by a constant torsional motion by Shridhar M, Umair Khan, Rahul Makwana, Ankur Kulshreshta, N.B. Naduvinamani

“…The flow, heat and mass transport attributes are assessed using the Physics-informed neural network (PINN). This model is optimized by a hybrid genetic algorithm and particle swarm optimization to address the flow, heat and mass transport attributes via neural networks. …”
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