Fatigue Detection Algorithm for Nuclear Power Plant Operators Based on Random Forest and Back Propagation Neural Networks by Yuhang Jiang, Junsong Li, Yu Zhang

“…First, the random forest algorithm is used to classify the feature data according to different scenarios. …”
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Enhancement of Breast Cancer Classification Using Bat Feature Selection with Recurrent Deep Learning by Ali Nafaa Jaafar

“…The bat algorithm assists in selecting the best relevant feature when integrated with recurrent deep learning models, which improves breast cancer classification by leveraging training datasets. …”
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Tuberculosis Detection using Gray Level Co-Occurrence Matrix (GLCM) and K-Nearest Neighbor (K-NN) Algorithms by Fuad Anwar, Mohtar Yunianto*, Rahmanisya Fani Aisha Putri

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Digital visual media forensics by Chun-hui FENG, Zheng-quan XU, Xing-hui ZHENG, Li JIANG

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Accurate localization of indoor high similarity scenes using visual slam combined with loop closure detection algorithm. by Zhuoheng Xiang, Jiaxi Guo, Jin Meng, Xin Meng, Yan Li, Jonghyuk Kim, Shifeng Wang, Bo Lu, Yu Chen

“…To address this issue, this paper proposes an improved visual SLAM loop closure detection algorithm that integrates deep learning techniques. …”
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Unsupervised Binary Classifier-Based Object Detection Algorithm with Integrated Background Subtraction Suitable for Use with Aerial Imagery by Gabija Veličkaitė, Ignas Daugėla, Ivan Suzdalev

“…This research presents the development of a novel object detection algorithm designed to identify humans in natural outdoor environments using minimal computational resources. …”
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A novel attention based vision transformer optimized with hybrid optimization algorithm for turmeric leaf disease detection by R. Selvaraj, M. S. Geetha Devasena

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A Fault Detection Method for Multi-Sensor Data of Spring Circuit Breakers Based on the RF-Adaboost Algorithm by Chuang Wang, Peijie Cong, Sifan Yu, Jing Yuan, Nian Lv, Yu Ling, Zheng Peng, Haoyan Zhang, Hongwei Mei

“…This paper proposes a multi-sensor data fusion fault detection method based on the RF-Adaboost algorithm for spring-operated circuit breakers. …”
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EAD-YOLOv10: Lightweight Steel Surface Defect Detection Algorithm Research Based on YOLOv10 Improvement by Hu Haoyan, Tong Jinwu, Wang Haibin, Lu Xinyun

“…The experimental results show that the improved EAD-YOLOv10 network model achieves an average precision of 94.2% for detecting six types of defects in the NEU-DET dataset, which is an improvement of 7.6% over the baseline model, with a 9.75% reduction in model size and a 12.5% decrease in computational load, outperforming other mainstream object detection algorithms and meeting the requirements for SD detection in industrial production. …”
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DETECTION OF NON-MELANOMA SKIN CANCER BY DEEP CONVOLUTIONAL NEURAL NETWORK AND STOCHASTIC GRADIENT DESCENT OPTIMIZATION ALGORITHM by Premananda Sahu, Srikanta Kumar Mohapatra, Prakash Kumar Sarang, Jayashree Mohanty, Pradeepta Kumar Sarangi

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YOLO-Ssboat: Super-Small Ship Detection Network for Large-Scale Aerial and Remote Sensing Scenes by Yiliang Zeng, Xiuhong Wang, Jinlin Zou, Hongtao Wu

“…The algorithm further leverages an improved multi-attention detection head, Dyhead_v3, to refine the representation of small-target features. …”
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An intelligent optimized object detection system for disabled people using advanced deep learning models with optimization algorithm by Marwa Obayya, Fahd N. Al-Wesabi, Menwa Alshammeri, Huda G. Iskandar

“…Visually impaired persons (VIPs) can utilize the OD approach for detecting problems and recognizing services to offer secure and informative navigation. …”
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YOLO-IRS: Infrared Ship Detection Algorithm Based on Self-Attention Mechanism and KAN in Complex Marine Background by Limin Guo, Yuwu Wang, Muran Guo, Xiaohai Zhou

“…Compared to mainstream detection algorithms, YOLO-IRS achieves higher detection accuracy while requiring relatively fewer computational resources, verifying the superiority of the proposed algorithm and enhancing the detection performance of infrared ship targets.…”
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Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms by S. Jayanthi, Swathi Sowmya Bavirthi, P. Murali, K. Vijaya Kumar, Hend Khalid Alkahtani, Mohamad Khairi Ishak, Samih M. Mostafa

“…Initially, the data normalization stage leverages linear scaling normalization (LSN) for converting input data into a beneficial format. Furthermore, the feature selection process uses the RIME optimization algorithm (ROA) model to select the most relevant features from the data. …”
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A Proposed Text Encryption inside Video Using Harris Corner Detection and Salas20 Encryption Algorithm by Fadhil Abbas Fadhil, Farah Tawfiq Abdul Hussien, Teba Walaa Aldeen Khairi, Nikolai Safiullin

“…   Text encryption in video is a vital tool in many industries where protecting sensitive information is of highest concern. Algorithms and automated detection methods commonly struggle to locate hidden text in video frames. …”
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Detection and Pattern Recognition of Chemical Warfare Agents by MOS-Based MEMS Gas Sensor Array by Mengxue Xu, Xiaochun Hu, Hongpeng Zhang, Ting Miao, Lan Ma, Jing Liang, Yuefeng Zhu, Haiyan Zhu, Zhenxing Cheng, Xuhui Sun

“…In summary, the proposed MOS-based MEMS sensor array driven by pattern recognition algorithms can be integrated into portable devices, showing great potential and practical applications in the rapid, in situ, and on-site detection and identification of CWAs.…”
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An airport apron ground service surveillance algorithm based on improved YOLO network by Yaxi Xu, Yi Liu, Ke Shi, Xin Wang, Yi Li, Jizong Chen

“…The improved algorithm can efficiently extract the information features of small-sized objects, medium-sized objects, and moving objects in large scenes, and it achieves effective detection of activities of ground service in the apron area. …”
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Intrusion detection model based on fuzzy theory and association rules by Jianwu ZHANG, Jiasen HUANG, Di ZHOU

“…An intrusion detection model based on fuzzy theory and improved Apriori algorithm was proposed.The BV-Apriori algorithm was used to generate the matching rule base,and the problem of excessive boundary in the continuous data partitioning process was solved by fuzzy set technology.The real-time analysis of the relationship between features and the update of the rule base were completed,and the intrusion detection model BVA-IDS (Boolean vector Apriori-intrusion detection system) was built.The results show that the mining efficiency of the BV-Apriori algorithm is significantly improved when compared with the existing Apriori-BR algorithm,in addition,the BVA-IDS model also performs well on intrusion detection indicators with high detection accuracy,and low false positive rate and false negative rate.…”
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Intrusion detection model based on fuzzy theory and association rules by Jianwu ZHANG, Jiasen HUANG, Di ZHOU

“…An intrusion detection model based on fuzzy theory and improved Apriori algorithm was proposed.The BV-Apriori algorithm was used to generate the matching rule base,and the problem of excessive boundary in the continuous data partitioning process was solved by fuzzy set technology.The real-time analysis of the relationship between features and the update of the rule base were completed,and the intrusion detection model BVA-IDS (Boolean vector Apriori-intrusion detection system) was built.The results show that the mining efficiency of the BV-Apriori algorithm is significantly improved when compared with the existing Apriori-BR algorithm,in addition,the BVA-IDS model also performs well on intrusion detection indicators with high detection accuracy,and low false positive rate and false negative rate.…”
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Assessing the quality of whole slide images in cytology from nuclei features by Paul Barthe, Romain Brixtel, Yann Caillot, Benoît Lemoine, Arnaud Renouf, Vianney Thurotte, Ouarda Beniken, Sébastien Bougleux, Olivier Lézoray

“…To address these challenges, this article introduces a straightforward, interpretable, and computationally efficient quality control module to ensure optimal algorithmic performance. Methods: The proposed quality control module ensures algorithmic performance by representing an algorithm by a reference whole slide image preparation protocol validated on it. …”
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