Android malware detection via efficient application programming interface call sequences extraction and machine learning classifiers by Tanjie Wang, Yueshen Xu, Xinkui Zhao, Zhiping Jiang, Rui Li

“…To solve these problems, in this study, we propose a novel Android malware detection framework, where we contribute an efficient Application Programming Interface (API) call sequences extraction algorithm and an investigation of different types of classifiers. …”
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SIMULATION RESULTS OF SPECKLE SUPPRESSION IN RADAR WITH SYNTHETIC APERTURE by R. N. Akinshin, V. L. Rumyantzev, A. V. Peteshov

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GSD-YOLO: A Lightweight Decoupled Wheat Scab Spore Detection Network Based on Yolov7-Tiny by Dongyan Zhang, Wenfeng Tao, Tao Cheng, Xingen Zhou, Gensheng Hu, Hongbo Qiao, Wei Guo, Ziheng Wang, Chunyan Gu

“…At the same time, the detection speed of the algorithm is 114 f/s, and the memory is 13.1 MB, which meets the application requirements of hardware deployment and real-time detection. …”
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YOLO-Based Real-Time Detection of Power Line Poles from Unmanned Aerial Vehicle Inspection Vision by Jingdong GUO, Bin CHEN, Renshu WANG, Jiayu WANG, Linlin ZHONG

“…In this paper a real-time detection model based on YOLO deep learning algorithm is presented to detect the status of power line poles automatically from the UAV vision data after disaster. …”
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A multiple pattern complex event detection scheme based on decomposition and merge sharing for massive event streams by Jianhua Wang, Bang Ji, Feng Lin, Shilei Lu, Yubin Lan, Lianglun Cheng

“…As a result, our proposed detection method in this article can effectively solve the above problem. …”
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Extreme Value Statistics of Community Detection in Complex Networks with Reduced Network Extremal Ensemble Learning (RenEEL) by Tania Ghosh, Royce K. P. Zia, Kevin E. Bassler

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PCB Electronic Component Soldering Defect Detection Using YOLO11 Improved by Retention Block and Neck Structure by Youzhi Xu, Hao Wu, Yulong Liu, Xing Zhang

“…The single-stage target detection algorithm has a faster running time, but the detection accuracy needs to be improved. …”
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Yolov4 High-Speed Train Wheelset Tread Defect Detection System Based on Multiscale Feature Fusion by Changfan Zhang, Xinliang Hu, Jing He, Na Hou

“…The Yolov4 detection algorithm does not sufficiently extract local semantic and location information. …”
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Detection of Melamine in Soybean Meal Using Near-Infrared Microscopy Imaging with Pure Component Spectra as the Evaluation Criteria by Zengling Yang, Lujia Han, Chengte Wang, Jing Li, Juan A. Fernández Pierna, Pierre Dardenne, Vincent Baeten

“…In recent years, the near-infrared (NIR) spectroscopy technique has been widely used for guaranteeing food and feed security for its fast, nondestructive, and pollution-free characteristics. However, there are problems with using near-infrared (NIR) spectroscopy for detecting samples with low contaminant concentration because of instrument noise and sampling issues. …”
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Hybrid Harris hawks-optimized random forest model for detecting multi-element geochemical anomalies related to mineralization by Hamid Sabbaghi, Nader Fathianpour

“…In this study, Harris hawks optimization (HHO) algorithm was employed to optimize known hyperparameters of the random forest (RF) method for detecting multi-element geochemical anomalies related to mineralization occurrences in the Feyzabad district of the Razavi Khorasan province, NE Iran. …”
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Subpixel stacking and detection of blurred star images observed by an astroinertial attitude sensor against the background of the daytime sky by N.N. Vasilyuk

“…This problem is relatively easy to solve if the image of the star field is obtained by a stationary camera observing a clear night sky. …”
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Mosquito species identification using convolutional neural networks with a multitiered ensemble model for novel species detection by Autumn Goodwin, Sanket Padmanabhan, Sanchit Hira, Margaret Glancey, Monet Slinowsky, Rakhil Immidisetti, Laura Scavo, Jewell Brey, Bala Murali Manoghar Sai Sudhakar, Tristan Ford, Collyn Heier, Yvonne-Marie Linton, David B. Pecor, Laura Caicedo-Quiroga, Soumyadipta Acharya

“…Using an image database of 2696 specimens from 67 mosquito species, we address the practical open-set problem with a detection algorithm for novel species. …”
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Analisis Kinerja Intrusion Detection System Berbasis Algoritma Random Forest Menggunakan Dataset Unbalanced Honeynet BSSN by Kuni Inayah, Kalamullah Ramli

“…In 2023, Indonesia will be ranked first as the country with the highest source of attacks. To overcome this problem, the Intrusion Detection System (IDS) is used as a solution in various government systems, in collaboration with Honeynet BSSN. …”
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Vibration Analysis of a Centrifugal Pump with Healthy and Defective Impellers and Fault Detection Using Multi-Layer Perceptron by Masoud Hatami Garousi, Mahdi Karimi, Paolo Casoli, Massimo Rundo, Rasoul Fallahzadeh

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Accurate Detection and Tracking of Small-Scale Vehicles in High-Altitude Unmanned Aerial Vehicle Bird-View Imagery by Heshan Zhang, Xin Tan, Mengwei Fan, Cunshu Pan, Zhanji Zheng, Shuang Luo, Jin Xu

“…Especially in tasks with long distances, extensive backgrounds, and small objects, it increases the difficulty of localization and regression, which can easily lead to missed detections and false positives. This paper proposes a detection-based small-scale vehicle tracking framework that integrates an improved YOLOX network and the DeepSORT algorithm to address these issues. …”
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Detection of Crack Sealant in the Pretreatment Process of Hot In-Place Recycling of Asphalt Pavement via Deep Learning Method by Kai Zhao, Tianzhen Liu, Xu Xia, Yongli Zhao

“…To overcome these challenges, this paper presents a specialized dataset created from 1983 pavement images. A deep learning detection algorithm named YOLO-CS (You Only Look Once Crack Sealant) is proposed. …”
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Short-Term Wind Speed Forecasting Using Decomposition-Based Neural Networks Combining Abnormal Detection Method by Xuejun Chen, Jing Zhao, Wenchao Hu, Yufeng Yang

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Wheel Tread Dynamic Detection Benchmark Positioning Method Based on Iterative Reweighted Least-squares Line Fitting by LI Miaocheng, WANG Junping, SHEN Yunbo, YOU Yong, DAI Bowang, LAN Qiangqiang

“…Reference positioning of inner side benchmark is a traditional method for tread detection but there are problems of positioning error caused by field factors in wheel tread dynamic detection such as reference tilt by hunting, foreign matter and light interference. …”
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Developing an IoT and ML-driven platform for fruit ripeness evaluation and spoilage detection: A case study on bananas by Rajini M, Persis Voola

“…This framework employed various machine learning algorithms to detect ripeness stages, with the CatBoost classifier exhibiting exceptional performance, demonstrating its dependability and effectiveness in assessing fruit quality. …”
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A study of high-resolution remote sensing image landslide detection with optimized anchor boxes and edge enhancement by Kun Wang, Ling Han, Juan Liao

“…This paper takes landslide as a special research object. For the problems of landslide detection in remote sensing images, deep learning and playback method is adopted. …”
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