A Machine Learning Algorithm Using Texture Features for Nighttime Cloud Detection from FY-3D MERSI L1 Imagery by Yilin Li, Yuhao Wu, Jun Li, Anlai Sun, Naiqiang Zhang, Yonglou Liang

“…This IR-alone algorithm advancement offers a reliable tool for nighttime cloud detection, significantly enhancing the quantitative applications of satellite imager observations.…”
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EODA: A three-stage efficient outlier detection approach using Boruta-RF feature selection and enhanced KNN-based clustering algorithm by Sunil Kumar, Sudeep Varshney, Usha Jain, Prashant Johri, Abdulaziz S. Almazyad, Ali Wagdy Mohamed, Mehdi Hosseinzadeh, Mohammad Shokouhifar

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SIP Flooding Attack Detection Technology of Multi-agent System Covert Network Based on BiGRU Algorithm by Tong Wu, Hengyu Liu, Tong Li, Wei Fan, Dawei Hu, Jianshi Bai

“…The data characteristics generated by SIP flood attacks may overlap and confuse with normal traffic characteristics, and the network traffic characteristics will dynamically change over time, thereby affecting the accuracy of SIP flood attack detection. Therefore, an SIP flood detection technique based on BiGRU algorithm is proposed for covert networks in multi-agent systems. …”
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Binocular Vision-Based Target Detection Algorithm by Huiguo Zhang

“…In the field of target detection, algorithms are challenged with multi-objective optimization problems in identifying detection targets, and it is also crucial to improve the recognition of small and insignificant targets. …”
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Pupil Detection Algorithm Based on ViM by Yu Zhang, Changyuan Wang, Pengbo Wang, Pengxiang Xue

“…This algorithm introduces weighted feature fusion, aiming to enable the model to adaptively learn the contribution of different feature patches to the pupil detection results; combines ViM with the MSA (multi-head self-attention) mechanism), aiming to integrate global features and improve the accuracy and robustness of pupil detection; and uses FFT (Fast Fourier Transform) to convert the time-domain vector outer product in MSA into a frequency–domain dot product, in order to reduce the computational complexity of the model and improve the detection efficiency of the model. …”
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PFW-YOLO Lightweight Helmet Detection Algorithm by Yue Hong, Hao Wang, Shuo Guo

“…Therefore, a lightweight helmet detection algorithm PFW YOLO is proposed in this paper. …”
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Multi-Scale Feature Similarity and Object Detection for Small Printing Defects Detection by Haojie Lou, Yuanlin Zheng, Wenqian Chen, Haiwen Liu

“…To address this problem, a defect detection algorithm based on multi-scale feature similarity evaluation and small object defect detection is proposed. …”
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Para-YOLO: An Efficient High-Parameter Low-Computation Algorithm Based on YOLO11n for Remote Sensing Object Detection by Hang Chen, Qi Cao, Yongqiang Wang, Shang Wang, Haisheng Fu, Zhenjiao Chen, Feng Liang

“…Moreover, the increasing demand for real-time onboard image processing imposes stringent requirements on both algorithmic complexity and detection accuracy. To overcome these challenges, we propose Para-YOLO, an efficient and cost-effective algorithm consisting of a novel feature fusion network and three innovative modules. …”
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An advanced fire detection system for assisting visually challenged people using recurrent neural network and sea-horse optimizer algorithm by Fahd N. Al-Wesabi, Abeer A. K. Alharbi, Ishfaq Yaseen

“…This manuscript presents a Smart Fire Detection System for Assisting the Blind Using Attention Mechanism-Driven Recurrent Neural Network and Seahorse Optimizer Algorithm (SFDAB-ARNNSHO). …”
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Detection of phishing portals through machine learning algorithms by E. A. Trushnikov

“…Objective Analysis and practical implementation of the phishing portal detection functionality through machine learning algorithms. …”
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Feature extraction method based on point pair hierarchical clustering by Jiang Qian, Ruixin Zhao, Jingkang Wei, Xiaohui Luo, Yilan Xue

Subjects: “…feature detection method…”
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Scene Text Detection Based on Multi-scale Feature Extraction and Bidirectional Feature Fusion by LIAN Zhe, YIN Yanjun, ZHI Min, XU Qiaozhi

“…To address the above problems, a scene text detection algorithm based on multi-scale feature extraction and bidirectional feature fusion is proposed. …”
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Research on UAV aerial imagery detection algorithm for Mining-Induced surface cracks based on improved YOLOv10 by Jiayong An, Siyuan Dong, Xuanli Wang, Chenlei Li, Wenpei Zhao

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RHS-YOLOv8: A Lightweight Underwater Small Object Detection Algorithm Based on Improved YOLOv8 by Yifan Wei, Jun Tao, Wenjun Wu, Donghua Yuan, Shunzhi Hou

“…Compared with other cutting-edge underwater object detection algorithms, the present algorithm improves the detection accuracy while lightweighting the improvement, which effectively enhances the capability to detect small underwater objects.…”
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A Video SAR Multi-Target Tracking Algorithm Based on Re-Identification Features and Multi-Stage Data Association by Anxi Yu, Boxu Wei, Wenhao Tong, Zhihua He, Zhen Dong

“…The algorithm extracts high-dimensional ReID features using the Dense-Net121 network for enhanced shadow detection and calculates a cost matrix by integrating ReID feature cosine similarity with Intersection over Union similarity. …”
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An Efficient Approach Based on RAE-GAMI-NET for Long Range Attack Detection on Blockchain by Vasavi Chithanuru, Mangayarkarasi Ramaiah

“…The proposed explainable neural network model includes Residual Auto Encoder (RAE) guided generalized additive models with incorporating structured interactions (RAE-GAMI-Net) for LRA detection in PoS Blockchain In this work, a wrapper-based Binary Orchard Algorithm (W-BOA) is used to find the best features to lessen the dimensionality of extracted Characteristics, and a global feature extraction has been implemented based on multi-scale Densenet (MDensenet) that assures early convergence and optimal performance by providing global optimal solution. …”
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Computer-aided diagnosis of Haematologic disorders detection based on spatial feature learning networks using blood cell images by Jamal Alsamri, Hamed Alqahtani, Ali M. Al-Sharafi, Abdulbasit A. Darem, Khalid Nazim, Abdul Sattar, Menwa Alshammeri, Ahmad A. Alzahrani, Marwa Obayya

“…This study presents a novel Computer-Aided Diagnosis of Haematologic Disorders Detection Based on Spatial Feature Learning Networks with Hybrid Model (CADHDD-SFLNHM) approach using Blood Cell Images. …”
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Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

“…Furthermore, while feature selection benefits simpler algorithms (such as RF), normalization is more useful for complex algorithms like ANNs and deep neural networks (DNNs), and algorithms such as Naive Bayes are unsuitable for IDS modeling. …”
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Application of deconvolutional networks for feature interpretability in epilepsy detection by Sihao Shao, Yu Zhou, Ruiheng Wu, Aiping Yang, Qiang Li

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Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms by Manal Abdullah Alohali, Sultan Alahmari, Mohammed Aljebreen, Mashael M. Asiri, Achraf Ben Miled, Sami Saad Albouq, Othman Alrusaini, Ali Alqazzaz

“…Besides, the proposed MDMIoV-DLXAI model utilizes the reptile search algorithm (RSA) model for feature selection. Furthermore, the hybrid of bidirectional long short-term memory with a multi-head self-attention (BiLSTM-MHSA) model is employed for the malware classification process. …”
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