A ship type identification method based on modeling AIS data by MOU Fangli, LIU Ying, FAN Zide, DENG Yawen, ZHU Keqing, ZHAO Xinyu

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Impulse Control Problems Following Bariatric Surgery and Extrapyramidal Adverse Effects with Fluoxetine: A Case Report by Ayşe Gökçen Gündoğmuş, Kübra Sezer Katar

“…Especially when surgery is used in patients with eating disorders, different addiction problems and impulse control disorders may arise afterward. …”
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Artificial Neural Networks Based Decision Support System for the Detection of Diabetic Retinopathy by Zehra Karapınar Şentürk

“…Artificial Neural Networks (ANN) method has been applied to the problem using Rapid Miner, a data mining tool. Some other methods have also adapted to the problem, but ANN based detection approach gave the best results. 88.52% sensitivity has been obtained using the features of Messidor dataset. …”
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A Scene Knowledge Integrating Network for Transmission Line Multi-Fitting Detection by Xinhang Chen, Xinsheng Xu, Jing Xu, Wenjie Zheng, Qianming Wang

“…Aiming at the severe occlusion problem and the tiny-scale object problem in the multi-fitting detection task, the Scene Knowledge Integrating Network (SKIN), including the scene filter module (SFM) and scene structure information module (SSIM) is proposed. …”
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Rolling window for detecting multiple Chan signatures to diagnose excessive water production by Ahmed MohamedSalih Musa Hamdoon, A. P. Mohammed Abdalla Ayoub Mohammed, A. P. Khaled Abdalla Elraies

“…A successful interactive model with the rolling window feature was developed to track slope changes in Chan signatures, resulting in a 7–10% improvement in pattern detection accuracy compared to static features. …”
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Track line status detection system for subway based on lightweight convolutional network by LIN Jun, YUAN Hao, LIU Yue, KANG Gaoqiang, TONG Hao

“…Finally, the features were send to a object detection head for track line status real-time detection. …”
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Enhanced Image Processing and Fuzzy Logic Approach for Optimizing Driver Drowsiness Detection by Wasin AlKishri, Abdallah Abualkishik, Mahmood Al-Bahri

“…It is an enhanced approach for Viola–Jones to examine different visual signs to detect the driver's drowsiness level. It extracted eye blink duration and mouth features to detect driver drowsiness based on the desired facial feature image in a specific driver video frame. …”
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Traffic Sign Detection via Improved Sparse R-CNN for Autonomous Vehicles by Tianjiao Liang, Hong Bao, Weiguo Pan, Feng Pan

“…To tackle this problem, this study proposed an improved sparse R-CNN that integrates coordinate attention block with ResNeSt and builds a feature pyramid to modify the backbone, which enables the extracted features to focus on important information, and improves the detection accuracy. …”
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Detection Method for Bolts with Mission Pins on Transmission Lines Based on DBSCAN-FPN by Zhenbing ZHAO, Shuai ZHANG, Wei JIANG, Peng WU

“…As the bolt with missing pins are small targets, their positioning is difficult and their features are hard to extract. Aim at this problem, a detection method for bolts with missing pins is proposed based on the DBSCAN algorithm and FPN model. …”
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HRDA-Net: image multiple manipulation detection and location algorithm in real scene by Ye ZHU, Yilin YU, Yingchun GUO

“…Aiming at the problems that the fake image just contains one tampered operation in mainstream manipulation datasets and the artifact is a common problem in manipulation location.The multiple manipulation dataset (MM Dataset) was constructed for real scene, which contained both splicing and removal in each images.Based on this, an end-to-end high-resolution representation dilation attention network (HRDA-Net) was proposed for multiple manipulation detection and localization, which fused the RGB and SRM features through the top-down dilation convolutional attention (TDDCA).Finally, the mixed dilated convolution (MDC) would respectively extract the features of splicing and removal, which could realize multiple manipulation location and confidence prediction.The cosine similarity loss was proposed as auxiliary loss to improve the efficiency of network.Experimental results on MM Dataset indicate that the performance and robustness of HRDA-Net is better than semantic segmentation methods.Furthermore, the scores of F1 and AUC are greater than state-of-the-art manipulation location methods in CASIA and NIST datasets.…”
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FEATURES of NON-DESTRUCTIVE damage CONTROL OF aircraft parts made of composite MATERIALS at the enterprises of aviation industry by A. V. Kopylov, B. V. Zubkov

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Infrared small target detection algorithm with U-shaped multiscale transformer network by DUAN Peipei, ZHANG Yan, LUO Mingshi, YAN Xiaoying

“…To solve the problem of small targets feature extraction and the susceptibility of targets to being overwhelmed by noise and complex backgrounds, a detection method with U-shaped multiscale transformer network is proposed. …”
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FEATURES OF CHEMILUMINESCENT ACTIVITY OF NEUTROPHILIC GRANULOCYTES IN PATIENTS WITH CHRONIC GASTRITIS, CHRONIC ATROPHIC GASTRITIS AND GASTRIC CANCER by O. V. Smirnova, V. V. Tsukanov, A. A. Sinyakov

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A Detection Method for Conveyor Belt Damage with Small Size and Low Contrast by HAN Yajie, HAO Xiaoli, NIU Baoning, XUE Jindong

“…[Purposes] An improved YOLOv4 detection model is proposed to solve the problems of missing detection and false detection when the existing models detect objects with small size and low contrast with the background. …”
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Deep Learning-Based Intelligent Detection Algorithm for Surface Disease in Concrete Buildings by Jing Gu, Yijuan Pan, Jingjing Zhang

“…Finally, to address problems of missed detection, such as inadequate extraction of small targets, we extended the original YOLOv8 architecture by adding a layer in the feature extraction phase dedicated to small-target detection. …”
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Automatic Extraction of Water Body from SAR Images Considering Enhanced Feature Fusion and Noise Suppression by Meijun Gao, Wenjie Dong, Lifu Chen, Zhongwu Wu

“…To address these problems, we propose the Global Context Attention Feature Fusion Network (GCAFF-Net) in this article. …”
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Features of short-term heart rate variability in internally displaced people with type 2 diabetes mellitus by V.A. Serhiyenko, V.B. Sehin, V.I. Pankiv, A.A. Serhiyenko

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Robust Face Detection and Identification under Occlusion using MTCNN and RESNET50 by Eiman Wahab, Wajeeha Shafique, Habiba Amir, Sameena Javed, Muhammad Marouf

“…We used the face detector algorithm called Multi-Task Cascaded Convolutional Neural Network (MTCNN) for face detection with 99.8% accuracy. Further we have conducted feature extraction and pre-processing on our self-created dataset. …”
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Rail Corrugation Detection of High-Speed Railway Using Wheel Dynamic Responses by Jianbo Li, Hongmei Shi

“…The optimal parameters of EEMD are selected according to the orthogonal coefficient of decomposition results and the distribution of the extreme points of signal. The depth detection is transformed to a classification problem with SVM. …”
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Features of Development and Course of Disseminated Intravascular Coagulation Syndrome During Surgical Interventions in Children with Oncological Diseases by N. P. Leonov, V. V. Schukin, G. A. Novichkova, M. A. Maschan, F. I. Ataullakhanov, S. S. Yashin, A. M. Zeynalov, Е. A. Spiridonova

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