Research on defect perception model of distribution network based on big data analysis and waveform matching algorithm by LIN Kaifeng, LI Yiming, ZHANG Bo, YANG Changyu, ZHU Zeting, YANG Zhenda

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GAT-Enhanced YOLOv8_L with Dilated Encoder for Multi-Scale Space Object Detection by Haifeng Zhang, Han Ai, Donglin Xue, Zeyu He, Haoran Zhu, Delian Liu, Jianzhong Cao, Chao Mei

“…The problem of inadequate object detection accuracy in complex remote sensing scenarios has been identified as a primary concern. …”
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SODRS: Semisupervised Learning for One-Stage Small Object Detection in Remote Sensing Images by Mingquan Liu, Lei Kuang, Chengjun Li, Jing Tian, Zifang Chen, Xuewu Han

“…Small object detection in remote sensing images faces challenges such as weak features, vulnerability to interference, and limited object visibility. …”
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YOLOv8-SDC: An Improved YOLOv8n-Seg-Based Method for Grafting Feature Detection and Segmentation in Melon Rootstock Seedlings by Lixia Li, Kejian Gong, Zhihao Wang, Tingna Pan, Kai Jiang

“…To address the multi-target detection problem in the automatic seedling-feeding procedure of vegetable-grafting robots from dual perspectives (top-view and side-view), this paper proposes an improved YOLOv8-SDC detection segmentation model based on YOLOv8n-seg. …”
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Precision Measurement and Feature Selection in Medical Diagnostics using Hybrid Genetic Algorithm and Support Vector Machine by Gowri Subadra K, Sathish Babu P

“…This study introduces a hybrid feature selection method based on genetic algorithm (GA) and Bucket of Models (BoM) approach to improve breast cancer detection and classification. …”
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“Image-Spectral” fusion monitoring of peanut leaf spot disease level based on deep learning by Yongda Lin, Jiangtao Tan, Hong Li, Xi Li, Jianguo Wang, Tingting Chen, Lei Zhang

“…However, existing algorithms for peanut leaf disease detection techniques based on pictures or hyperspectral information still have problems with detection accuracy and stability. …”
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STWANet: Spatio-Temporal Wavelet Attention Aggregation Network for Remote Sensing Change Detection by Xiaoyang Zhang, Kaihui Dong, Dapeng Cheng, Zhen Hua, Jinjiang Li

“…This network uses a pretrained Resnet18 to extract multiscale features to obtain features with sufficient spatial details and semantic information. …”
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Integrating VGG Re-trained Feature Extraction with Machine Learning for Knee Osteoarthritis Severity Levels Detection Using X-ray Images by Simeon Yuda Prasetyo, Ghinaa Zain Nabiilah

“…The Knee Osteoarthritis Dataset with Severity Grading is preprocessed, and features are extracted using fine-tuned VGG16 and VGG19 models. …”
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Class-weighted Dempster–Shafer in dual-level fusion for multimodal fake real estate listings detection by Maifuza Mohd Amin, Nor Samsiah Sani, Mohammad Faidzul Nasrudin

“…To address these problems, a dual-level fusion from multimodal for fake real estate listings detection is proposed. …”
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Leveraging retinanet based object detection model for assisting visually impaired individuals with metaheuristic optimization algorithm by Alaa O. Khadidos, Ayman Yafoz

“…The DL-based methods remove the features autonomously and classify and detect the objects. …”
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BT-YOLO11: Automatic Driving Road Target Detection in Complex Scenarios by Qi Wang, Qi Long Wang

“…Due to the problems faced by autonomous driving scenarios in complex scenarios, generalized target detectors are challenged, especially the detection accuracy of occluded and small targets. …”
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K-Gen PhishGuard: an Ensemble Approach for Phishing Detection with K-Means and Genetic Algorithm by Ali Al-Hafiz, Adnan Jabir, Shamala Subramaniam

“… Phishing detection is considered a critical problem in cybersecurity, and utilising machine learning with an efficient feature selection method for precisely identifying malicious websites is deemed the most critical challenge. …”
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Change-Guided Difference Interaction Attention Network for Remote Sensing Change Detection by Canbin Hu, Sida Du, Hongyun Chen, Xiaokun Sun, Kailun Liu

“…However, many existing methods struggle to extract change-relevant features when faced with dual-temporal remote sensing images characterized by inconsistent and complex feature distributions, leading to false alarms. …”
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MOVING OBJECT DETECTION USING DISCRETE COSINE TRANSFORM BASED BACKGROUND SUBTRACTION by Sharmistha Puhan, Sambit Kumar Mishra, Deepak Kumar Rout

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Hybrid IoT-CAD system: optimized feature selection based gated recurrent residual deep learning for cyber attack detection in IoT networks by Susheela Vishnoi, Sunil Kumar, Saikat Samanta

“…Next, to solve the data imbalance problem, Conditional Generative Adversarial Networks (CGAN) are employed. …”
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Optimal feature selection for a weighted k-nearest neighbors for compound fault classification in wind turbine gearbox by Samuel M. Gbashi, Paul A. Adedeji, Obafemi O. Olatunji, Nkosinathi Madushele

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MSTCNet: Toward Generalization Improving for Multiframe Infrared Small Target Detection by Ruining Cui, Na Li, Junfu Liu, Huijie Zhao

“…To solve the problems mentioned above, combining the concept of domain generalization (DG) in transfer learning, we propose a multiscale spatio-temporal feature combined network (MSTCNet). …”
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SMS Scam Detection Application Based on Optical Character Recognition for Image Data Using Unsupervised and Deep Semi-Supervised Learning by Anjali Shinde, Essa Q. Shahra, Shadi Basurra, Faisal Saeed, Abdulrahman A. AlSewari, Waheb A. Jabbar

“…The growing problem of unsolicited text messages (smishing) and data irregularities necessitates stronger spam detection solutions. …”
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ASAD: A Meta Learning-Based Auto-Selective Approach and Tool for Anomaly Detection by Nadia Rashid, Rashid Mehmood, Fahad Alqurashi, Saad Alqahtany, Juan M. Corchado

“…To address this, we propose an innovative auto-selective approach and software tool based on meta-learning, called ASAD (Auto-Selective Anomaly Detection), to dynamically select the most appropriate model based on the unique features of a given dataset or problem domain. …”
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Combining 2D texture and 3D geometry features for Reliable iris presentation attack detection using light field focal stack by Zhengquan Luo, Yunlong Wang, Nianfeng Liu, Zilei Wang

“…Abstract Iris presentation attack detection (PAD) is still an unsolved problem mainly due to the various spoof attack strategies and poor generalisation on unseen attackers. …”
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