The NovelHAD algorithm to detect presence of human activity in videos based on MediaPipe pose and human landmarks by Y. V. K. Durga Bhavani, V. B. Pagi

“…This study develops a novel algorithm called NovelHAD based on the human kinematic prototype anatomy and the MediaPipe Pose (MPP) landmark detector feature extraction technique. …”
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Innovative approaches to English pronunciation instruction in ESL contexts: integration of multi-sensor detection and advanced algorithmic feedback by Li Ping, Ning Tao

“…The approach employs multi-sensor detection methods for precise data collection, preprocessing techniques such as pre-emphasis, normalization, framing, windowing, and endpoint detection to ensure high-quality speech signals. …”
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Partial Discharge Fault Detection of Substation GIS Based on CEEMDAN Fusion Processing Algorithm of Multi‐Frequency Signals by Yuan Sun, Hao Xie, Li Chang

“…By analyzing the typical GIS partial discharge fault state structure, segmented collection of substation GIS partial discharge data is carried out; Based on the window function method and nonlinear gain adjustment method, a limited impulse response filter with precise linear phase characteristics is selected for multi‐frequency signal enhancement processing; Simultaneously combining wavelet reconstruction technology and Fisher criterion to improve the CEEMDAN algorithm, obtaining a fused signal containing frequency feature information; Using CNN network model to fuse feature signals as input, achieve accurate detection of partial discharge faults in substation GIS. …”
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Research on Lightweight Algorithm Model for Precise Recognition and Detection of Outdoor Strawberries Based on Improved YOLOv5n by Xiaoman Cao, Peng Zhong, Yihao Huang, Mingtao Huang, Zhengyan Huang, Tianlong Zou, He Xing

“…An improved YOLOv5n strawberry high-precision recognition algorithm is proposed. The algorithm uses FasterNet to replace the original YOLOv5n backbone network and improves the detection rate. …”
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The Detection of Fake Text News using a Dense-based 1D-CNN Deep Learning Algorithm by Khalid Abood Kamel, Jumana Waleed

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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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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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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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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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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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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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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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Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…This assessment focuses on the use of software with artificial intelligence (AI)-derived algorithms to assist in the detection and analysis of lung nodules in CT chest scans. …”
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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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Comparative Analysis of Machine Learning and Deep Learning Models for Lung Cancer Prediction Based on Symptomatic and Lifestyle Features by Bireswar Dutta

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Multi-Level Intertemporal Attention-Guided Network for Change Detection in Remote Sensing Images by Shuo Liu, Qinyu Zhang, Yuhang Zhang, Xiaochen Niu, Wuxia Zhang, Fei Xie

“…Through comprehensive testing on two datasets, the MIANet algorithm proves to be effective and robust, achieving detection results that are either better or at least comparable with current methods in terms of accuracy and reliability.…”
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Real-Time Recognition and Localization of Kiwifruit Based on Improved YOLOv5s Algorithm by Jin-Sui Dai, Zhi-Qin He

“…First, data enhancement is implemented in the training strategy to ensure the model’s efficient learning and generalization ability in complex environments; then the Coordinate Attention mechanism is introduced to highlight the key features of the image and improve detail detection; Secondly, the Bidirectional Feature Pyramid Network structure is used to optimize the feature fusion and strengthen the information exchange between different layers through bidirectional connectivity; then, the loss function is optimized to improve the bounding box localization accuracy; and finally, the combined with the binocular vision stereo matching algorithm Semi-Global Block Matching to obtain the spatial location information of Kiwifruit. …”
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DFTD-YOLO: Lightweight Multi-Target Detection From Unmanned Aerial Vehicle Viewpoints by Yuteng Chen, Zhaoguang Liu

“…In this study, we propose an improved algorithm, DFTD-YOLO, based on YOLOv8n. We designed a new neck feature fusion network. …”
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Significance of Machine Learning-Driven Algorithms for Effective Discrimination of DDoS Traffic Within IoT Systems by Mohammed N. Alenezi

“…In this paper, the effectiveness of supervised machine learning (ML) classification and deep learning (DL) algorithms in detecting DDoS attacks on IoT networks was investigated by conducting an extensive analysis of network traffic dataset (legitimate and malicious). …”
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