Case Study on Photovoltaic System: Impact of Solarimetric Stations on Simulations and Anomaly Detection by João Lucas de S. Silva, João Antonio F. G. da Silva, Eslam Mahmoudi, João Frederico S. de Paula, Tárcio André dos S. Barros

“… Local solarimetric stations (LSS) are essential for collecting data to evaluate photovoltaic (PV) plant performance and improve simulation accuracy. …”
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GCSA-ResNet: a deep neural network architecture for Malware detection by Yukang Fan, Kun Zhang, Bing Zheng, Yu Zhou, Jinyang Zhou, Wenting Pan

“…Abstract With the exponential growth in the quantity and complexity of malware, traditional detection methods face severe challenges. This paper proposes GCSA-ResNet, a novel deep learning model that significantly enhances malware detection performance by integrating the Global Channel-Spatial Attention (GCSA) module with ResNet-50. …”
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IPACN: Information-Preserving Adaptive Convolutional Network for Remote Sensing Change Detection by Hongchao Qi, Xin Gao, Jiaqiang Lei, Fenglei Wang

“…The FADEM dynamically refines change signals based on local spectral characteristics, improving discrimination. …”
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The Detection of Small-Scale Open-Burning Agriculture Fires Through Remote Sensing by Eduardo R. Oliveira, Bárbara T. Silva, Diogo Lopes, Sofia Corticeiro, Fátima L. Alves, Leonardo Disperati, Carla Gama

“…Using active fire detection products from various satellite platforms, including VIIRS, MODIS, SLSTR, and SEVIRI, we conducted a detailed analysis across two local case studies and a national-scale assessment. …”
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Antarctic Sea ice distribution detection based on improved ant colony algorithm by Xingdong Wang, Xingdong Wang, Xingdong Wang, Zehao Sun, Zehao Sun

“…The ant colony algorithm adopts a positive feedback mechanism to continuously converge the search process and ultimately approaches the optimal solution, making it easy to find the optimal segmentation threshold for detecting the sea ice distribution. However, the ant colony algorithm has the problems of high computational complexity and easy getting stuck in local optima. …”
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Extracting Target Detection Knowledge Based on Spatiotemporal Information in Wireless Sensor Networks by Tian Wang, Zhen Peng, Cheng Wang, Yiqiao Cai, Yonghong Chen, Hui Tian, Junbin Liang, Bineng Zhong

“…Moreover, we propose a probabilistic detection algorithm in which all sensors' local measurement values are fully used. …”
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SGANet: A Siamese Geometry-Aware Network for Remote Sensing Change Detection by Jiangwei Chen, Sijun Dong, Xiaoliang Meng

“…Within the encoder blocks, we integrated a local feature extraction block that excels at capturing fine-grained features and a global cross-attention block that focuses on contextual features between different modalities. …”
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Detecting Urban Mobility Structure and Learning Functional Distribution with Multi-Scale Features by Jia Li, Chuanwei Lu, Haiyan Liu, Jing Li, Dewei Zhou, Qingyun Liu

“…Urban mobility structure detection and functional distribution learning are significant for urban planning and management. …”
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Durability of Active Surveillance for Localized Renal Masses: 3-year Outcomes in the Michigan Urological Surgery Improvement Collaborative by Yuzhi Wang, Samantha Wilder, Monica Van Til, Mackenzie Gammons, Mahin Mirza, Sabrina L. Noyes, Mohammad Jafri, Brian Seifman, Khurshid R. Ghani, Alice Semerjian, Craig G. Rogers, Brian R. Lane

“…Patient summary: In Michigan, most patients diagnosed with localized renal masses of <4 cm and some with tumors up to 7 cm in size elect active surveillance (AS), with a 13% cumulative incidence of undergoing intervention within 3 yr of detection. …”
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Ship Detection Transformer in SAR Images Based on Key Scattering Points Feature Aggregation and Context Feature Refinement by Yifei Yin, Zhu Yang, Hao Shi, Fanyu Meng, Wei Li

“…In recent years, deep learning algorithms have demonstrated significant advancements in the field of ship detection using synthetic aperture radar (SAR). Nevertheless, two primary challenges persist in the task of SAR ship detection: first, owing to the unique imaging mechanism, targets in SAR images are typically represented by scattering points, posing challenges for accurate feature extraction and leading to issues of inaccurate localization. …”
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Impact of duration of maintenance immunotherapy on the prognosis of locally advanced non-small cell lung cancer treated with chemoradiotherapy by HuiQi Fan, Song Guan, Kai Ren, Xue Li, Jun Wang, Nan Bi, Lujun Zhao

“…In radiotherapy modality subgroup analyses (stratified by histology, immunotherapy type, and concurrent chemoradiotherapy), immunotherapy cycle number significantly predicted prognosis in all subgroups (all p &lt; 0.05).ConclusionIn patients with locally advanced non-small cell lung cancer who received consolidation immunotherapy after chemoradiotherapy, the number of cycles of immunotherapy was significantly associated with prognosis. …”
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A Method for Automatically Locating Defects in CCTV Inspection Data of Sewer Pipes by Jun Tang, Jisheng Xia, Zhiqiang Xie, Zhaoyong Li, Yuting Zhang

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Gripping Success Metric for Robotic Fruit Harvesting by Dasom Seo, Il-Seok Oh

“…In particular, fruit harvesting robots often rely on object detection or segmentation to identify and localize target fruits. …”
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Diagnostic value of loop-mediated isothermal amplification in detecting lower respiratory pathogens by Ya Wen, Juan Huang, Yanjia Du, Zishuang Zhong, Hanhua Zeng, Weiqiang Zhang

“…BALF was collected using local bronchoalveolar lavage and electronic bronchoscopy. …”
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Spatial confined hot carrier dynamics for beyond unity quantum efficiency detection by Yu Wan, Zhe Cheng, Zhen Wang, Jiapeng Hu, Fang Zhong, Kangmin Leng, Mengchun Qiu, Kuai Yu, Li Wang, Antoni Rogalski, Qi Jie Wang, Jianbin Xu, Weida Hu, Qisheng Wang

“…This enhancement arises from spatial confinement-induced local phonon scattering, which suppresses the optical-excited hot carrier relaxation. …”
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Investigating lightweight and interpretable machine learning models for efficient and explainable stress detection by Debasish Ghose, Ayan Chatterjee, Indika A. M. Balapuwaduge, Yuan Lin, Soumya P. Dash

“…Furthermore, our study has incorporated local interpretable model-agnostic explanations to provide comprehensive insights into the predictions made by the k-NN-based architecture.…”
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YOLO-Extreme: Obstacle Detection for Visually Impaired Navigation Under Foggy Weather by Wei Wang, Bin Jing, Xiaoru Yu, Wei Zhang, Shengyu Wang, Ziqi Tang, Liping Yang

“…Comprehensive experiments conducted on the Real-world Task-driven Traffic Scene (RTTS) foggy dataset demonstrate that YOLO-Extreme achieves state-of-the-art detection accuracy and maintains high inference speed, outperforming existing dehazing-and-detect and mainstream object detection methods. …”
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Asynchronous Real-Time Federated Learning for Anomaly Detection in Microservice Cloud Applications by Mahsa Raeiszadeh, Amin Ebrahimzadeh, Roch H. Glitho, Johan Eker, Raquel A. F. Mini

“…In this paper, we propose an Asynchronous Real-Time Federated Learning (ART-FL) approach for anomaly detection in cloud-based microservice systems. In our approach, edge clients perform real-time learning with continuous streaming local data. …”
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Higher detectability of amyloid with phenol Congo red compared with alkaline Congo red by Marta Legatowicz-Koprowska, Justyna Szczygieł, Małgorzata Mańczak, Ewa Walczak

“…There is a need for a simple and inexpensive screening method offering a better chance of detecting mini­mal amyloid deposits. The aim of this study was to compare amyloid detectability with ACR and phenol Congo red (PHCR) staining techniques for early detection of minimal deposits. …”
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HAFREE: A Heatmap-Based Anchor-Free Detector for Apple Defect Detection by Nguyen Bui Ngoc Han, Ju-Hwan Lee, Dang Thanh Vu, Iqbal Murtza, Hyoung-Gook Kim, Jin-Young Kim

“…For benchmarking, we propose a heatmap-based anchor-free (HAFREE) detector, a novel end-to-end object detection architecture designed to localize subtle defects on apple surfaces. …”
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