Intelligent and automatic irrigation system based on internet of things using fuzzy control technology by Xinying Liu, Zhihuan Zhao, Amin Rezaeipanah

“…These systems utilize real-time sensor data to improve irrigation efficiency and agricultural productivity. This paper presents an automatic, low-cost intelligent irrigation system based on a fuzzy rule-based inference approach and an energy-aware routing algorithm. …”
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Automatic determination of semantic similarity of student answers with the standard one using modern models by Nadezhda S. Lagutina, Ksenia V. Lagutina, Vladislav N. Kopnin

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Communicating the Automatic Control Principles in Smart Agriculture Education: The Interactive Water Pump Example by Dimitrios Loukatos, Ioannis Glykos, Konstantinos G. Arvanitis

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Design and Construction of Operator-Alcohol Detection Interlock System with Automatic Machine Shutdown and Alarm. by Akampurira, Chrisbus

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Hardware-Based Calculation of Mean Square Error for Automatic Target Recognition in SAR Images by Lucas Urbanski, Gustavo Farhat Araujo, Renato Machado, Roberto D'Amore

“…This paper presents a circuit architecture aiming for FPGA synthesis of a processing stage of an Automatic Target Recognition (ATR) algorithm to classify non-cooperative targets in Synthetic Aperture Radar (SAR) images using the SAMPLE database. …”
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A comprehensive dataset of soccer event images for advancing automatic recognition systemsKaggle by Jamal Hussain Shah, Maira Afzal, Samia Riaz, Mussarat Yasmin, Seifedine Kadry, Fahad Ahmed Khokhar

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Research on the Equal Probability Grouping Method for Automatic Fitting of Deep Groove Ball Bearings by Peiqi Yang, Haoyi Wang, Xuejun Li, Linli Jiang

“…At present, the fitting process of deep groove ball bearings has the problems of low manual production efficiency and poor performance of fitted bearings. …”
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Parameter Identification and Control Scheme for Monitoring Automatic Thickness Control System with Measurement Delay by Xu Yang, Jingjing Gao, Yuri A. W. Shardt, Linlin Li, Chaonan Tong

“…Deviations in thickness are primarily controlled using the automatic gauge control (AGC) system of each rolling stand. …”
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DeadEasy Mito-Glia: automatic counting of mitotic cells and glial cells in Drosophila. by Manuel Guillermo Forero, Anabel R Learte, Stephanie Cartwright, Alicia Hidalgo

“…Thus cellular quantification is often carried out manually, which is laborious, tedious, error prone or humanly unfeasible. Here, we present DeadEasy Mito-Glia, an image processing method to count automatically the number of mitotic cells labelled with anti-phospho-histone H3 and of glial cells labelled with anti-Repo in Drosophila embryos. …”
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Semi-Automatic Design of Dual-Band End-Fed Antennas for Digital Antenna Arrays by S. A. Alekseytsev, A. A. Kolesnikov, Yu. N. Parshin

“…The results of developing procedures for a semi-automatic design of antennas with a dual-band function of input impedance are presented. …”
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Automatic Identification and Description of Jewelry Through Computer Vision and Neural Networks for Translators and Interpreters by José Manuel Alcalde-Llergo, Aurora Ruiz-Mezcua, Rocío Ávila-Ramírez, Andrea Zingoni, Juri Taborri, Enrique Yeguas-Bolívar

“…Identifying jewelry pieces presents a significant challenge due to the wide range of styles and designs. …”
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LeaData a novel reference data of leather images for automatic species identification by Anjli Varghese, Malathy Jawahar, A. Amalin Prince

“…The objective is to automatically determine species from grain surface analysis. …”
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Ensemble methods and partially-supervised learning for accurate and robust automatic murine organ segmentation by Lars H. B. A. Daenen, Joël de Bruijn, Nick Staut, Frank Verhaegen

“…Additionally, a promising PSL framework is presented for leveraging multiple datasets without complete annotations. …”
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Optimized 3D-2D CNN for automatic mineral classification in hyperspectral images by Attallah Youcef, Zigh Ehlem, Adda Ali Pacha

“…Mineral classification using hyperspectral imaging represents an essential field of research improving the understanding of geological compositions. This study presents an advancedmethodology that uses an optimized 3D-2D CNNmodel for automatic mineral identification and classification. …”
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Automatic Setting of Optimal Multi-Exposures for High-Quality Structured Light Depth Imaging by Sukhan Lee, Hyunwoo Park

“…In the current study, we present a method for optimal multi-exposure settings that automatically determines the minimum number of exposure settings for capturing the maximum number of 3D points from the surface of interest under a limited range of available exposure. …”
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Pedestrian-Crossing Detection Enhanced by CyclicGAN-Based Loop Learning and Automatic Labeling by Kuan-Chieh Wang, Chao-Li Meng, Chyi-Ren Dow, Bonnie Lu

“…This model is then applied to automatically annotate newly generated synthetic images, which are incorporated into the training dataset for subsequent rounds of model retraining and image generation. …”
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Bochun: Automatically annotated stance detection dataset for Sorani Kurdish language(Mendeley Data). by Payman Sabr Rostam, Rebwar Mala Nabi

“…This Research presents the first-ever, high-quality, automatically annotated Kurdish stance detection dataset in the Sorani dialect to fill the gap of lacking annotated resources for Kurdish, a low-resource language in Natural Language Processing (NLP). …”
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Analysis of the Energy and Emission Performance of an Automatic Biomass Boiler in the Context of Efficient Heat Management by Adam Nocoń, Artur Jachimowski, Wacław Koniuch, Grzegorz Pełka, Wojciech Luboń, Paweł Kubarek, Marta Jach-Nocoń, Dominika Dawiec

“…This paper presents the results of an examination of an automatic biomass boiler identifying its strengths and weaknesses and computing its seasonal energy and emission parameters. …”
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Automatic pain classification in older patients with hip fracture based on multimodal information fusion by Shuang Yang, Wen Luo, Tao Yang, Xiaoying Chen, Siyi Shen, Lei Wang, Huiwen Zhao, Jun Liu, Liping Huang

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An automatic end-to-end chemical synthesis development platform powered by large language models by Yixiang Ruan, Chenyin Lu, Ning Xu, Yuchen He, Yixin Chen, Jian Zhang, Jun Xuan, Jianzhang Pan, Qun Fang, Hanyu Gao, Xiaodong Shen, Ning Ye, Qiang Zhang, Yiming Mo

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