Detection of phishing portals through machine learning algorithms by E. A. Trushnikov

“…Objective Analysis and practical implementation of the phishing portal detection functionality through machine learning algorithms. …”
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DETECTION OF CURRENT CIRCUITS FAULT FOR DIFFERENTIAL CURRENT PROTECTION by M. S. Loman, V. S. Kachenya

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JWST/NIRSpec Observations of Brown Dwarfs in the Orion Nebula Cluster by K. L. Luhman, C. Alves de Oliveira, I. Baraffe, G. Chabrier, E. Manjavacas, R. J. Parker, P. Tremblin

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Depth-Enhanced Tumor Detection Framework for Breast Histopathology Images by Integrating Adaptive Multi-Scale Fusion, Semantic Depth Calibration, and Boundary-Guided Detection by A. Robert Singh, Suganya Athisayamani, Hariharasitaraman S, Faten Khalid Karim, Jose Varela-Aldas, Samih M. Mostafa

“…The proposed loss function optimizes RGB-depth feature alignment, balancing contributions from each modality for robust tumor detection. …”
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A comparative three-dimensional analysis of skeletal and dental changes induced by Herbst and PowerScope appliances in Class II malocclusion treatment: a retrospective cohort study by Eduardo Caleme, Alexandre Moro, Claudia Mattos, José Miguel, Klaus Batista, Jeanne Claret, Gaëlle Leroux, Lucia Cevidanes

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The Reliability of a Novel Structured Testing Device for Single-breath Lung Carbon Monoxide Uptake: A Randomized Comparison Crossover Study by Shihua Yao, Tuping Fu, Kuiqing Lin, Zhongping Wu, Shubing Chen, Liping Zhong, Beilan Shen, Yanqing Xie, Jiaying An, Xudong Wang, Wenting Liu, Xinxin Yu, Jinping Zheng, Yi Gao

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A YOLO-Based Method for Head Detection in Complex Scenes by Ming Xie, Xiaobing Yang, Boxu Li, Yingjie Fan

“…Detecting objects in intricate scenes has always presented a significant challenge in the field of machine vision. …”
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Kalman Filter-Based Fusion of LiDAR and Camera Data in Bird’s Eye View for Multi-Object Tracking in Autonomous Vehicles by Loay Alfeqy, Hossam E. Hassan Abdelmunim, Shady A. Maged, Diaa Emad

“…The proposed method introduces a novel association strategy that incorporates structural similarity into the cost function, enabling effective data fusion between 2D camera detections and 3D LiDAR detections for robust track recovery during short occlusions by leveraging LiDAR depth. …”
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Radar Detection Simulation by Digital Twins of Target and Antenna System by A. S. Grigoriev, A. A. Kazantsev, A. M. Terentyev, B. S. Stavtsev

“…The function of detection probability density was calculated, which demonstrated an insufficient detection capacity of a radar system in the case of observation of such type of objects.Conclusion. …”
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Clopidogrel and Aspirin Resistance and Its Interaction with Peripheral Arterial Disease Outcomes in the Indian Population by Vikram Patra, Rohit Mehra, C V N M Dattatraya, Rishi Dhillan, Anuka Sharma, Varun Sharma, Brijesh Biswas, Ajay Kumar Dabas, Rahul Merkhed

“…Objectives: The objective of the study was to ascertain adverse events (major adverse cardiac and limb events) events in patients of established peripheral arterial disease (PAD), on clopidogrel and aspirin antiplatelet therapy. …”
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Cardiac energy metabolic disorder and gut microbiota imbalance: a study on the therapeutic potential of Shenfu Injection in rats with heart failure by Zhenyu Zhao, Zhixi Hu, Lin Li

“…The changes in gut microbiota structure were analyzed by 16S rRNA high-throughput sequencing, the content of short-chain fatty acids (SCFAs) was detected by targeted metabolomics technology, and cardiac function and energy metabolism-related indicators were evaluated.ResultsMyocardial energy metabolism in HF rats was disordered, characterized by reduced fatty acid oxidation, enhanced anaerobic glycolysis of glucose, mitochondrial damage, and decreased ATP content; The gut microbiota of HF rats was imbalanced, with a reduction in beneficial bacteria, an increase in conditional pathogenic bacteria, and impaired intestinal barrier function; Both Shenfu Injection and trimetazidine improved myocardial energy metabolism and cardiac function, but Shenfu Injection was more significant in regulating gut microbiota and improving intestinal health; The production of SCFAs from the gut microbiota of HF rats increased, which may be closely related to myocardial energy metabolism; SCFAs-producing bacteria Akkermansia and Blautia played a key role in the development of HF, and their abundance was positively correlated with SCFAs content.ConclusionShenfu Injection in treating HF may improve myocardial energy metabolism and intestinal health by regulating gut microbiota, especially the abundance of SCFAs-producing bacteria Akkermansia and Blautia, thereby exerting therapeutic effects. …”
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Effect of Xingbi Gel Nasal Drops on Rats with Allergic Rhinitis Based on the Nasal Mucosa-Hippocampus Neuroimmune Mechanism by FAN Xueqi, QIU Caixia, YAN Shuiping, ZHUANG Xiangli, AI Si, GUO Lihua, ZHENG Jian

“…The AR rat behavioral scoring criteria was used to evaluate rhinitis behavior of rats; Morris water maze test was used to evaluate learning and memory function of rats; enzyme-linked immunosorbent assay (ELISA) was used to detect serum levels of immunoglobulin E (IgE) and transforming growth factor-β1 (TGF-β1); hematoxylin-eosin (HE) staining was used to observe pathological changes of nasal mucosa and eosinophil (EOS) count; immunohistochemistry method was used to detect expression levels of non-receptor tyrosine kinases Fyn, substance P (SP), vasoactive intestinal peptide (VIP) and neuropeptide Y (NPY) in the hippocampus; and real-time polymerase chain reaction (RT-PCR) was used to detect mRNA transcription levels of Fyn, SP, VIP and NPY in the hippocampus.Results(1) Behavioral scores of rhinitis: compared with the normal group, behavioral scores of rhinitis were significantly higher in the model group, the traditional Chinese medicine group and the western medicine group before treatment (<italic>P</italic>&lt;0.05). …”
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A Method for Detecting Tomato Maturity Based on Deep Learning by Song Wang, Jianxia Xiang, Daqing Chen, Cong Zhang

“…In addition, by replacing the original CIOU loss function with the Focal–EIOU loss function, the problem of sample imbalance is solved and the detection performance of the model in complex scenarios is improved. …”
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An insulator target detection algorithm based on improved YOLOv5 by Bing Zeng, Zhihao Zhou, Yu Zhou, Dilin He, Zhanpeng Liao, Zihan Jin, Yulu Zhou, Kexin Yi, Yunmin Xie, Wenhua Zhang

“…Abstract Drone inspections are widely utilized in the detection of insulators in power lines. To address issues with traditional object detection algorithms, such as large parameter counts, low detection accuracy, and high miss rates, this paper proposes an insulator detection algorithm based on an improved YOLOv5 model. …”
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Detection of water surface targets based on improved Deformable DETR by Pengjiu WANG, Junbin Gong, Wei LUO, Xiao HUANG, Junjie GUO

“…Objective With technological advancements and the increasing demand for water resource exploration, water surface target detection plays a crucial role in various applications, such as ship navigation and maritime safety. …”
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Automatic detection and counting of wheat spike based on DMseg-Count by Hecang Zang, Yilong Peng, Meng Zhou, Guoqiang Li, Guoqing Zheng, Hualei Shen

“…However, in actual production, due to the susceptibility of wheat spike images to factors such as lighting conditions, shooting angles, occlusion, and overlap, the contour and features of wheat spike is unclear, which affects the accuracy of automatic detection and counting of wheat spike. In order to solve the above problems and further improve the accuracy of wheat spike counting, an improved wheat spike counting model DMseg-Count was proposed by enhancing local contextual supervision information based on existing target object counting model DM-Count. …”
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Road Damage Detection Using Yolov9-Based Imagery by Febrian Akbar Azhari, Tatang Rohana, Kiki Ahmad Baihaqi, Ahmad Fauzi

“…YOLOv9 was chosen due to its efficient architecture, which enables real-time object detection, and its proven effectiveness in various object detection tasks. …”
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Detecting the Boundary of Sensor Networks from Limited Cyclic Information by Carlos Lara-Alvarez, Juan J. Flores, Chieh-Chih Wang

“…This sensor, denoted by lrcod, is able to detect nearby objects and enumerate them by their cyclic order; neither distance nor the angular position of each object is provided. …”
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Automatic Registration and Error Detection of Multiple Slices Using Landmarks by Hans Frimmel, Lars Egevad, Christer Busch, Ewert Bengtsson

“…Objectives. When analysing the 3D structure of tissue, serial sectioning and staining of the resulting slices is sometimes the preferred option. …”
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An explainable EEG epilepsy detection model using friend pattern by Turker Tuncer, Sengul Dogan

“…EEG signals have commonly been used to detect epilepsy. Therefore, the main objective of this research is to demonstrate the epilepsy detection capability of the presented new-generation relation-centric feature extraction function. …”
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