A comprehensive approach to monitoring peatland changes using multi-temporal airborne LiDAR data by Sebastian Czapiewski, Tomasz Giętkowski, Danuta Szumińska

“…Our method systematises multi‑temporal LiDAR processing and delivers key ecohydrological indicators LiDAR-derived surface elevation, peatland extent and vegetation structure, thereby diagnosing the environmental condition of peatlands. …”
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Improved YOLOv8-Based Segmentation Method for Strawberry Leaf and Powdery Mildew Lesions in Natural Backgrounds by Mingzhou Chen, Wei Zou, Xiangjie Niu, Pengfei Fan, Haowei Liu, Cuiling Li, Changyuan Zhai

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Digits Recognition for Arabic Handwritten through Convolutional Neural Networks, Local Binary Patterns, and Histogram of Oriented Gradients by Bushra Mahdi Hasan, Zahraa Jasim Jaber, Ahmad Adel Habeeb

“…In addition, a Histogram of Oriented Gradients (HOG) is a feature extraction technique that is used in computer vision and image processing for the purpose of object detection. The HOG descriptor focuses on the structure or the shape of an object. …”
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Acoustic-Based Machine Main State Monitoring for High-Speed CNC Drilling by Pimolkan Piankitrungreang, Kantawatchr Chaiprabha, Worathris Chungsangsatiporn, Chanat Ratanasumawong, Peemdej Chancharoen, Ratchatin Chancharoen

“…This paper introduces an acoustic-based monitoring system for high-speed CNC drilling, aimed at optimizing processes and enabling real-time machine state detection. …”
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Research on Video Monitoring Technology for Galloping of OCS Additional Conductors of High-Speed Railway in Strong Wind Zone by Wentao Zhang, Wenhao Wang, Shanpeng Zhao, Huayu Yuan, Youpeng Zhang, Xiaotong Yao, Guangwu Chen

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Automated weed and crop recognition and classification model using deep transfer learning with optimization algorithm by K. Gopalakrishnan, R. Sivaraj, M. Vijayakumar

“…Eventually, the cascading Q-network (CQN)model is employed for the classification process. To emphasize the improved weed detection performance of the projected AWRC-DLMLO method, a wide range of simulations were done. …”
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Epidemiological Situation on Cholera in the Russian Federation in 2023 and Forecast for 2024 by A. Yu. Popova, A. K. Noskov, E. B. Ezhlova, V. D. Kruglikov, E. V. Monakhova, O. S. Chemisova, A. A. Lopatin, S. M. Ivanova, O. A. Podoynitsyna, A. S. Vodop’yanov, D. A. Levchenko, I. V. Savina

“…It briefly characterizes the dynamics of the epidemic process around the world during the last decade (2013–2022). …”
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An all-out assault on a dominant resistance gene: Local emergence, establishment, and spread of strains of tomato spotted wilt orthotospovirus (TSWV) that overcome Sw-5b-mediated r... by Mônica A Macedo, Tomas Melgarejo, Margaret Cespedes, Maria Rojas, Patrícia Lazicki, Thomas Turini, Ozgur Batuman, Robert Gilbertson

“…A specific RT-PCR test was developed and used to show that the T120N RB strain was predominant in Colusa and Sutter counties (detected in 75-80% of samples), and detected in ~50% of samples from Yolo County. …”
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Recognition of vehicle light signals for smart traffic lights by K. S. Kurochka, D. V. Prokopenko, K. A. Panarin

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On Finding a Threshold of Useful Signals in the Analysis of Magnetic and Eddy Current Defectograms by Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin

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Computer-Aided Monitoring of Fetus Health From Ultrasound Images: A Review by Deniz Ataş, Yonca Bayrakdar Yılmaz

“…This study first introduces the indicators for identifying anomalies in fetus and gives basic information about computer-based methods such as traditional image processing, machine learning and deep learning. Then an overview of existing studies which use novel techniques on monitoring fetus health and anomaly detection from ultrasound images is given. …”
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Words before pictures: the role of language in biasing visual attention by Giulia Calignano, Anna Lorenzoni, Giulia Semeraro, Eduardo Navarrete

“…Comparisons across both experiments suggest an automatic influence of semantic knowledge on target detection and spatial attention.DiscussionThese findings indicate that words can contribute to attentional capture, potentially through top-down processes, even within an exogenous cueing paradigm in which semantic processing is task-irrelevant.…”
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Research on intelligence fusion: a holistic analysis of open-source intelligence fusion from the perspective of confrontation by YUAN Weilin, ZHAO Weiwei, HU Zhenzhen, CAO Wei, HE Jun, DONG Shaojin, WANG Chengyuan, WANG Shengqing

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High-Speed Outlier Removal Filter for LiDAR Sensor Point Cloud Data by Yeun-Sub Byun, Rag-Gyo Jeong

“…This paper proposes an innovative high-speed outlier removal filter designed to efficiently eliminate noise in light detection and ranging (LiDAR) sensor point cloud data, which is essential for real-time autonomous vehicle applications. …”
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A Comparative Study for Localization of Forgery Regions in Images by Mustafa Ozden, Canberk Sahin

“…By leveraging the combined strengths of traditional image processing techniques and advanced deep learning algorithms, the proposed method demonstrates superior capability in detecting manipulated regions in forged images, thus offering a robust solution for applications in forensic field.…”
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DeepLASD countermeasure for logical access audio spoofing by Hamed Al-Tairi, Ali Javed, Tasawer Khan, Abdul Khader Jilani Saudagar

“…This paper proposes an end-to-end deep learning approach DeepLASD, that processes raw waveforms to detect spoofed speech without relying on handcrafted features. …”
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Symmetric- Based Steganography Technique Using Spiral-Searching Method for HSV Color Images by Raheem Abdul Sahib Ogla

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Comment on: “Atom‐Modified gDNA Enhances Cleavage Activity of TtAgo Enabling Ultrasensitive Nucleic Acid Testing” by Yue Tang, Xiao‐han Wang, Xu Xu, Lu‐sheng Xin, Xiu‐dan Wang, Xin‐min Li

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tRNA modifications: greasing the wheels of translation and beyond by Minjie Zhang, Zhipeng Lu

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USING THE ADAPTED DLP SYSTEM FOR BLOCKING INFORMATION LEAKS by T. A. Andryianava, S. B. Salomatin

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