Evaluation of ABO/Rh Blood Group Distributions and Clinical Characteristics in Patients with Adrenal Incidentaloma: A Case-Control Study by Ozlem Dogan

“…Because of the hormonal evaluation, functional hormone production was detected in 16 (4.5%) patients. …”
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Identification and Alleviation of False Data Injection Within the Cyber Layer of an Enhanced Distributed Secondary Control in DC Islanded Microgrids by Nada Mosaad, Omar Abdel-Rahim, Wesam Rohouma, Sobhy Mohamed Abdelkader

“…The results demonstrated that the cybersecurity threat’s influence could be proficiently detected and alleviated in both microgrid configurations, while maintaining the effectiveness of secondary control functions, which are, preserving voltage regulation and precise current distribution. …”
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Evaluation of Morphometric Factors on the Distribution of Debris: A Case Study on the Attica Ripples on the South of Paveh- Kermanshah Province, Iran by Mohammad Ahmadi

“…Then, in order to investigate the effect of environmental factors on variance distribution, slope parameters, amplitudes, curvature, elevation classes and solar radiation were extracted using DEM and ArcGIS spatial analysis functions. …”
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Exploring the Composition of Blueberry-Based Functional Products: Polyphenolic and Elemental Characterization and Quantification by Francesca Buiarelli, Maria Presutti, Maria Luisa Astolfi, Carmela Riccardi, Donatella Pomata, Andrea Fricano, Giulia Simonetti, Patrizia Di Filippo

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EBBA-detector: An effective detector for defect detection in solar panel EL images with unbalanced data. by Yixing Zhang, Ziyan Mo, Zhuan Xin, Xianyu Chen, Yuqin Deng, Xuan Dong

“…Solar panel defect detection, a crucial quality control task in the manufacturing process, often faces challenges such as varying defect sizes, severe image background interference, and imbalanced data sample distribution. …”
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Fabrication of Three-Dimensional Dendritic Ag Nanostructures: A SERS Substrate for Non-Invasive Detection by Chia-Ling Sung, Tzung-Ta Kao, Yu-Cheng Lin

“…Fine-tuning the electrodeposition parameters improved the AgNPs’ morphology, achieving uniform particle distribution and optimal spacing. Compared to non-SERS substrates, our structure amplified the Raman signal for lactic acid detection by five orders of magnitude. …”
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YOLO-MARS: An Enhanced YOLOv8n for Small Object Detection in UAV Aerial Imagery by Guofeng Zhang, Yanfei Peng, Jincheng Li

“…In unmanned aerial vehicle (UAV) aerial imagery scenarios, challenges such as small target size, compact distribution, and mutual occlusion often result in missed detections and false alarms. …”
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Arbitrarily Oriented Object Detection in Remote Sensing Images Based on Improved YOLOv4-CSP by Ziyang Zheng, Ting Zhang, Zhaoying Liu, Bo Liu, Yujian Li, Changming Sun

“…At present, most of the algorithms are dedicated to improving the detection accuracy, while ignoring the detection speed. …”
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Intelligent Fault Severity Detection of Rotating Machines Based on VMD-WVD and Parameter-Optimized DBN by Ning Jia, Yao Cheng, Youyuan Tian, Feiyu Yang

“…An intelligent fault severity detection method based on variational mode decomposition- (VMD-) Wigner-Ville distribution (WVD) and sparrow search algorithm- (SSA-) optimized deep belief network (DBN) is suggested to address the problem that typical fault diagnostic algorithms are inappropriate for extremely comparable vibration signals when the samples are insufficient. …”
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DV-DETR: Improved UAV Aerial Small Target Detection Algorithm Based on RT-DETR by Xiaolong Wei, Ling Yin, Liangliang Zhang, Fei Wu

“…To achieve this, we introduce three main enhancements: (1) ResNet18 as the backbone network to improve feature extraction and reduce model complexity; (2) the integration of recalibration attention units and deformable attention mechanisms in the neck network to enhance multi-scale feature fusion and improve localization accuracy; and (3) the use of the Focaler-IoU loss function to better handle the imbalanced distribution of target scales and focus on challenging samples. …”
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DSFA-SwinNet: A Multi-Scale Attention Fusion Network for Photovoltaic Areas Detection by Shaofu Lin, Yang Yang, Xiliang Liu, Li Tian

“…Currently, numerous studies focus on the detection of single-type PV installations through aerial or satellite imagery. …”
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Immunohistochemical Detection of Iron-Related Proteins in Sertoli Cell-Only Patterns in Canine Testicular Lesions by Rebecca Leandri, Karen Power, Manuela Martano, Gionata De Vico

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Infrared Small Target Detection via Multidirectional Local Gravitational Force and Level-Line Connectivity by Xuying Hao, Xianyuan Liu, Yujia Liu, Yijuan Qiu, Yunjing Zhang, Yi Cui, Tao Lei

“…The LGF model integrates information from each pixel within the local region and introduces a new sigmoid function to reduce noise, enabling fine-grained gradient detection. …”
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Spatiotemporal chest wall movement analysis using depth sensor imaging for detecting respiratory asynchrony by Masaru Mitsuya, Hiroki Nishine, Hiroshi Handa, Masamichi Mineshita, Masaki Kurosawa, Tetsuo Kirimoto, Shohei Sato, Takemi Matsui, Guanghao Sun

“…Conclusions: The novel method can be applied to various pulmonary diseases to detect the regional ventilation distribution. The method establishes a new generic framework for clinical studies of chest wall motion and pathophysiology.…”
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High-Precision Moving Target Shadow Detection Algorithm for ViSAR Based on Information Geometry by Shangqu Yan, Yaowen Fu, Ruofeng Yu, Chenyang Luo, Wenpeng Zhang, Wei Yang

“…And the JS divergence matrix and the grayscale information from the enhanced ViSAR image are used to construct the joint probability distribution function. The 2-D minimum cross-entropy principle is used to calculate the threshold to extract the regions of interest. …”
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STATISTICAL PROCESSING OF RESULTS OF TESTING OF STUDENTS by Yulia V. Gumennikova, Elena N. Ryabinova, Ruzilya N. Chernitsina

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A Comparative Crash-Test of Manual and Semi-Automated Methods for Detecting Complex Submarine Morphologies by Vasiliki Lioupa, Panagiotis Karsiotis, Riccardo Arosio, Thomas Hasiotis, Andrew J. Wheeler

“…To compare the final maps with the distribution of the reefs, mapcurves were created to estimate the goodness-of-fit (GOF) with the Precision, Recall, and F1 Scores producing values higher than 0.78, suggesting a good detection accuracy for the semi-automated methods. …”
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An Efficient Mutual Authentication and Fractional Lyrebird Optimization With Deep Learning–Based SIP-Based DRDoS Attack Detection by V. Sreenivasulu, C. V. Ravikumar

“…Here, the authentication process is carried out under different phases based on various mathematical model functionalities. Moreover, the deep stack autoencoder (DSA) model is used to perform intrusion detection in the attack validation phase. …”
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WHO malaria nucleic acid amplification test external quality assessment scheme: results of eleven distributions over 6 years by Rebecca M. Thomson, Jane A. Cunningham, Michelle M. Gatton, Sean C. Murphy, Maria de la Paz Ade, Xavier C. Ding, Sandra Incardona, Eric Legrand, Naomi Lucchi, Didier Menard, Samuel L. Nsobya, Agatha C. Saez, Jaya Shrivastava, Peter L. Chiodini

“…Samples were validated by expert referee laboratories prior to distribution. Between 37 and 51 laboratories participated in each distribution and submitted results online. …”
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Unbiased High-Precision Cloud Detection for Advanced Himawari Imager Using Automatic Machine Learning by Bochun Liu, Jinming Ge, Qingyu Mu, Chi Zhang, Xiaoyu Hu, Jiajing Du, Yanyan Wu, Bo Wang, Xiang Li, Jianping Huang, Qiang Fu

“…The optimal algorithm achieves unbiased cloud detection across multiple surfaces by adjusting the output threshold of the mapping function, allowing for cloud detection results with varying confidence levels as required. …”
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