Research Progress on Non-destructive Detection Techniques for Potatoes Quality by YANG Guang-hui, LI Hong-ling, ZHANG Hua, LI Hui, LIU Xiao-long, JIA Shang-yun, HU Bo, SHANG Yi-bo

“…Through research and analysis, the problems facing non-destructive detection technology for potato quality were proposed, and prospects for the selection of imaging systems, multimodal detection technology, algorithm optimization, and intelligent detection technology were discussed, which could provide a reference for in-depth research and practical application of non-destructive detection technology for potato quality.…”
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Broiler Behavior Detection and Tracking Method Based on Lightweight Transformer by Haixia Qi, Zihong Chen, Guangsheng Liang, Riyao Chen, Jinzhuo Jiang, Xiwen Luo

“…Detecting the daily behavior of broiler chickens allows early detection of irregular activity patterns and, thus, problems in the flock. …”
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An annotated Dataset and Benchmark for Detecting Floating Debris in Inland Waters by Guangchao Qiao, Mingxiang Yang, Hao Wang

“…The dataset consists of 3000 images containing accurate annotation information to support vision-based water surface floater detection tasks. We conducted a number of baseline experiments to evaluate the performance of mainstream object detection algorithms on this dataset. …”
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Advances in Object Detection and Localization Techniques for Fruit Harvesting Robots by Xiaojie Shi, Shaowei Wang, Bo Zhang, Xinbing Ding, Peng Qi, Huixing Qu, Ning Li, Jie Wu, Huawei Yang

“…This work systematically summarizes and analyzes about 120 related literatures on the object detection and three-dimensional positioning algorithms of harvesting robots over the last 10 years, and reviews several significant methods. …”
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Impact of Lexical Features on Answer Detection Model in Discussion Forums by Atif Khan, Muhammad Adnan Gul, Abdullah Alharbi, M. Irfan Uddin, Shaukat Ali, Bader Alouffi

“…Experimental results showed that the proposed answer detection model outperformed the baseline technique and other state-of-the-art machine learning algorithms in terms of classification accuracy on benchmark forum datasets.…”
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Machine Learning Model for Detecting Attack in Service Supply Chain by ASMAU OYINLADE OLANIYI, O. A Ayeni, M. G. Adewunmi

“…Supply chain attacks exploit weaknesses in third-party vendors, software updates, and service providers, mainly posing a cybersecurity problem. Traditional detection methods often lag behind these sophisticated attacks. …”
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Image-Based Malware Detection Using Deep CNN Models by hawraa omran musa, Muhanad Tahrir Younis

“…Deep learning (DL) presents a promising strategy for malware detection by utilizing advanced algorithms that are capable of discerning intricate patterns from extensive datasets. …”
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A Comparative Study on Detection and Recognition of Nonuniform License Plates by Mehak Arshid, Muhammad Raees Azam, Zahid Mahmood

“…Both detection algorithms yielded a mean detection accuracy of 98.41%. …”
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Drunk Driver Detection Using Multiple Non-Invasive Biosignals by Sang Hyuk Kim, Hyo Won Son, Tae Mu Lee, Hyun Jae Baek

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Enhancing Road Safety: Detection of Animals on Highways During Night by K. Parkavi, Agniv Ganguly, Shivansh Sharma, Ashesh Banerjee, Keshav Kejriwal

“…Conventional monitoring systems are rendered useless due to poor visibility and inadequate lighting, emphasizing the necessity for a sophisticated detecting system. Using YOLOv5, a cutting- edge object detection algorithm, this study presents a way to identify animals on highways at night and reduce collisions. …”
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A Survey of Data Stream-Based Intrusion Detection Systems by Rodrigo Sanches Miani, Gustavo Di Giovanni Bernardo, Guilherme Weigert Cassales, Hermes Senger, Elaine Ribeiro de Faria

“…Advances in the field have led to the development of several algorithms that approach the problem under the view of a data stream machine learning task. …”
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TRANSFER LEARNING MODELS COMPARISON FOR DETECTING AND DIAGNOSING SKIN CANCER by Peshraw Ahmed Abdalla, Abdalbasit Mohammed Qadir, Omed Jamal Rashid, Sarkhel H. Taher Karim, Bashdar Abdalrahman Mohammed, Karzan Jaza Ghafoor

“…Skin cancer is a severe problem that is frequently disregarded. In circumstances of manual examination by a clinician, the human eye is occasionally unable to detect disorders precisely from imaging data. …”
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W-LEACH Based Dynamic Adaptive Data Aggregation Algorithm for Wireless Sensor Networks by Hanady M. Abdulsalam, Bader A. Ali

“…Experimental results on real and synthetic data show that the algorithm performs well in terms of extending the lifetime of the network, maintaining the original distribution of the sensors as long as possible, maintaining the accuracy of the sensed data, and being able to detect and handle sudden bursts of data.…”
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Human face localization and detection in highly occluded unconstrained environments by Abdulaziz Alashbi, Abdul Hakim H.M. Mohamed, Ayman A. El-Saleh, Ibraheem Shayea, Mohd Shahrizal Sunar, Zieb Rabie Alqahtani, Faisal Saeed, Bilal Saoud

“…Furthermore, the limited availability of comprehensive datasets containing substantially obscured faces exacerbates the problem, impeding the efficacy of face detection programs. …”
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Heart failure with preserved ejection fraction: the role of diastolic stress test in diagnostic algorithms by E. N. Pavlyukova, D. A. Kuzhel

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Image Reconstruction Algorithm Based on Spectral Projected Gradient Pursuit for Electrical Capacitance Tomography by WANG Li-li, LIU Hong-bo, CHEN De-yun, CHEN Feng

“…Accuracy and speed are important indicators to detect the image reconstruction algorithm for electrical capacitance tomography. …”
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An Efficient Plot Fusion Method for High Resolution Radar Based on Contour Tracking Algorithm by Bo. Yan, L. P. Xu, Kun Zhao, J. Z. H. Yan

“…A plot fusion method based on contour tracking algorithm is proposed to detect extended targets in a radar image. …”
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Prediabetes risk classification algorithm via carotid bodies and K-means clustering technique by Rafael F. Pinheiro, Maria P. Guarino, Marlene Lages, Rui Fonseca-Pinto

“…This approach, centered on CB chemosensitivity deregulation in early disease stages, offers a nuanced detection method beyond conventional techniques. Moreover, the adaptable algorithm and clustering methodology hold promise as risk classifications for other diseases. …”
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An Algorithm for Simplifying 3D Building Models with Consideration for Detailed Features and Topological Structure by Zhenglin Li, Zhanjie Zhao, Wujun Gao, Li Jiao

“…To tackle problems such as the destruction of topological structures and the loss of detailed features in the simplification of 3D building models, we propose a 3D building model simplification algorithm that considers detailed features and topological structures. …”
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Research on Multi-Objective Evolutionary Algorithms Based on Large-Scale Decision Variable Analysis by Jianing Li, Sijia Xu, Jiaming Zheng, Guoqing Jiang, Weichao Ding

“…This algorithm integrates quantitative analysis methods for decision variables to deeply examine their impact on each objective and introduces a contribution-based objective detection method. …”
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