Skin cancer detection using dermoscopic images with convolutional neural network by Khadija Nawaz, Atika Zanib, Iqra Shabir, Jianqiang Li, Yu Wang, Tariq Mahmood, Amjad Rehman

“…The study introduces a deep learning-based network specifically designed for skin lesion detection to enhance data in the melanoma dataset. …”
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Deep Learning Techniques for Early Fault Detection in Bearings: An Intelligent Approach by Omar Mohammed Amin Ali, Rebin Abdulkareem Hamaamin, Shahab Wahhab Kareem

“…Machine learning (ML) and deep learning (DL) algorithms have improved image processing, speech recognition, defect detection, item identification, and medical sciences. …”
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CGDINet: A Deep Learning-Based Salient Object Detection Algorithm by Chengyu Hu, Jianxin Guo, Hanfei Xie, Qing Zhu, Baoxi Yuan, Yujie Gao, Xiangyang Ma, Jialu Chen, Juan Tian

“…Salient object detection (SOD) is a key preprocessing step in computer vision, widely used in object tracking, action recognition, and image retrieval, among other fields. …”
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Proactive threat hunting to detect persistent behaviour-based advanced adversaries by Akashdeep Bhardwaj, Salil Bharany, Ahmad Almogren, Ateeq Ur Rehman, Habib Hamam

“…This enables comprehensive analysis and detection by integrating Lucene, Kibana, and domain-specific languages. …”
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Natural Scene Text Detection With Multiscale Feature Augmentation and Attention Mechanisms by Guogang Wang, Ruilin Wang, Meiyan Liang, Shen Wei, Xin Zhao, Dan Yang, Zhongjie Wang

“…Recently, the DB algorithm has drawn considerable attention in scene text detection due to its differentiable binarization module, which is proposed to simplify the complex post-processing of the existing segmentation-based scene text detection approaches. …”
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Apnea detection using wrist actigraphy in patients with heterogeneous sleep disorders by Xiaoman Xing, Sizhi Ai, Jihui Zhang, Rui Huang, Yaping Liu, Dongming Quan, Jiacheng Ma, Guoli Wu, Jiangen Xu, Yuan Zhang, Hongliang Feng, Wen-fei Dong

“…This study introduces an enhanced single-sensor-based OSA screening method, leveraging novel signal processing and machine learning to ensure accurate detection across diverse populations. …”
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Surface Defect Detection Based on Adaptive Multi-Scale Feature Fusion by Guochen Wen, Li Cheng, Haiwen Yuan, Xuan Li

“…Surface defect detection plays a quality assurance role in industrial manufacturing processes. …”
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Gas sensors and real-time video for accurate classroom occupancy detection by Koundinya Challa, Issa W. AlHmoud, Chandra Jaiswal, Balakrishna Gokaraju, Raymond Tesireo

“…This study introduces an advanced methodology for optimizing HVAC efficiency through real-time classroom occupancy detection by combining video analysis with gas sensor data to enhance accuracy and reliability. …”
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Advancements in Landmine Detection: Deep Learning-Based Analysis With Thermal Drones by Daniel Heuschmid, Oliver Wacker, Yannick Zimmermann, Pascal Penava, Ricardo Buettner

“…Through meticulous data pre-processing and augmentation strategies, we enhance the model’s ability to generalize across different terrains and mine types, addressing one of the primary challenges in landmine detection. …”
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Point-of-care lung ultrasound in detecting pneumonia: A systematic review by Iqra Abid, Nadia Qureshi, Nicola Lategan, Simon Williams, Sidra Shahid

“…Following screening processes, 12 studies comprised a sample size of 2897. …”
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Genome wide detection of CNV and their association with body size in Danzhou chickens by Xinfeng Xie, Liguang Shi, Guanyu Hou, Ziqi Zhong, Ziyi Wang, Deyou Pan, Wei Na, Qian Xiao

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Industrial Image Anomaly Detection via Synthetic-Anomaly Contrastive Distillation by Junxian Li, Mingxing Li, Shucheng Huang, Gang Wang, Xinjing Zhao

“…Industrial image anomaly detection plays a critical role in intelligent manufacturing by automatically identifying defective products through visual inspection. …”
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Detection of human activities using multi-layer convolutional neural network by Essam Abdellatef, Rasha M. Al-Makhlasawy, Wafaa A. Shalaby

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Detection of square wave impulse interference in eddy current rail defectograms by Leonid Y. Bystrov, Artemy N. Gladkov, Egor V. Kuzmin

“…Traffic safety in rail transport requires continuous monitoring of the rail condition for timely detection and elimination of defects. One of the methods of non-destructive testing of rails is eddy current flaw detection. …”
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YOLO-DAFS: A Composite-Enhanced Underwater Object Detection Algorithm by Shengfu Luo, Chao Dong, Guixin Dong, Rongmin Chen, Bing Zheng, Ming Xiang, Peng Zhang, Zhanwei Li

“…The C2PSF module, combining focal modulation and C2, strengthens local feature extraction and global context processing. Additionally, a SCSA module is inserted before the detection head to fully utilize multi-semantic information, improving the detection performance in complex underwater scenes. …”
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Improved YOLOv8 Model for Multi-type Lung Nodule Detection by BAO Qiangqiang, TANG Siyuan, LI Qingqian, WANG Naiyu, YANG Min, GU Yu, ZHAO Jinliang, GAO Jingbo, WANG Jiaxin, QU Yuhan

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Application of Deep Learning Techniques in Uranium Microparticle Fission Track Detection by ZHAO Xiong, REN Fangda, SHEN Yan

“…Future research will focus on further enhancing the model’s detection accuracy and investigating detection time to increase its practical application value. …”
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Addictive behaviour of students: Early detection experience and socio-psychological characteristics by A. V. Smirnov, L. A. Maksimova, I. A. Simonova

“…For mathematical and statistical data processing, the Statistics SPSS 19.0 package was applied: the Kolmogorov-Smirnov Dmax criterion (for boys and girls separately and jointly), the Mann-Whitney U test, regression analysis, analysis of averages, confidence and percentile intervals. …”
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Enhancing Retail Strategies Through Anomaly Detection in Association Rule Mining by Bijayini Mohanty, Santi Lata Champati, Swadhin Kumar Barisal

“…Association rule mining (ARM) is a fundamental technique for uncovering meaningful patterns and relationships within retail datasets, providing valuable insights for decision-making processes in the retail industry. Traditional association rule mining (TARM) methods sometimes fail to handle inconsistencies and contradictions for Boolean logic concepts. …”
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Flow cytofluorimetric detection and immunophenotyping of platelet-monocyte complexes in peripheral blood by O. V. Pavlov, S. V. Chepanov, A. V. Selutin, M. S. Zainulina, D. R. Eremeeva, S. A. Selkov

“…In particular, the method is suitable for detection and phenotyping of PMC in pregnancy complications and other pathological conditions associated with the disorders of hemostasis and thrombosis.…”
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