Automated skin melanoma diagnostics based on mathematical model of artificial convolutional neural network by D. A. Gavrilov, E. I. Zakirov, E. V. Gameeva, V. Yu. Semenov, O. Yu. Aleksandrova

“…This jerk is largely due to the emergence and development of the technology of deep convolu onal neural networks.Recent developments in the fi eld of image processing and machine learning open up the prospect of crea ng systems based on ar fi cial neural convolu onal networks, superior to humans in problems of image classifi ca on, in par cular, in solving problems of analysis of various medical images. …”
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Derivation of Hyperspectral Profiles for Global Extended Pseudo Invariant Calibration Sites (EPICS) and Their Application in Satellite Sensor Cross-Calibration by Juliana Fajardo Rueda, Larry Leigh, Morakot Kaewmanee, Harshitha Byregowda, Cibele Teixeira Pinto

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Classification of Toraja Wood Carving Motif Images Using Convolutional Neural Network (CNN) by Nurilmiyanti Wardhani, Billy Eden William Asrul, Antonius Riman Tampang, Sitti Zuhriyah, Abdul Latief Arda

“…By understanding the meaning of each Toraja carving, both tourists and the local community can gain knowledge about Toraja culture, thereby preserving and maintaining the culture amidst modern developments. Image processing approaches, particularly the development of Convolutional Neural Networks (CNN), offer a solution for extracting information from the diverse and intricate patterns of Toraja wood carvings. …”
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Mesenchymal Stem Cell Transplantation for Liver Cell Failure: A New Direction and Option by Yantian Cao, Bangjie Zhang, Rong Lin, Qingzhi Wang, Jie Wang, Fangfang Shen

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Low Altitude Tailing Es (LATTE): Analysis of Sporadic‐E Layer Height at Different Latitudes of Middle and Low Region by Qiong Tang, Chen Zhou, Huixin Liu, Yi Liu, Jiaqi Zhao, Zhibin Yu, Lianhuan Hu, Zhengyu Zhao, Xueshang Feng

“…Abstract In this paper, the Earth's sporadic‐E (Es) layer vertical motion is investigated by using an image processing technique for automatic scaling ionograms from Mohe (122.37°E, 53.50°N, dip angle 71°), Beijing (116.25°E, 40.25°N, dip angle 59°), Wuhan (114.61°E, 30.53°N, dip angle 46°) and Fuke (109.13°E, 19.52°N, dip angle 27°). …”
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APPLICATION OF OPTICAL CHARACTER RECOGNITION AND MACHINE LEARNING TECHNOLOGIES TO CREATE AN INFORMATION SYSTEM FOR AUTOMATIC VERIFICATION OF OFFLINE TESTING by Vadym Ziuziun, Nikita Petrenko

“…The scientific novelty lies in integrating machine learning algorithms with modified image processing algorithms to create a system capable of analyzing and grading a wide range of offline test tasks, including open-ended, closed-ended, sequence identification, and multiple-correct-answer questions. …”
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Research on multi-label recognition of tongue features in stroke patients based on deep learning by Honghua Liu, Peiqin Zhang, Yini Huang, Shanshan Zuo, Lu Li, Chang She, Mailan Liu

“…To address this issue, this paper proposes a deep learning-based automatic recognition approach for the tongue images of stroke patients, aiming to improve the accuracy of automatic extraction and recognition of stroke-related tongue features through image processing and machine learning techniques. First, this study performs image cropping and data augmentation on tongue images. …”
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SpikeDroidDB: AN INFORMATION SYSTEM FOR ANNOTATION OF MORPHOMETRIC CHARACTERISTICS OF WHEAT SPIKE by M. A. Genaev, E. G. Komyshev, Fu Hao, V. S. Koval, N. P. Goncharov, D. A. Afonnikov

“…The effectiveness of ears’ phenotyping can be improved by the introduction of an automated image processing technology, storage of information in databases, use of machine learning algorithms to analyze this information. …”
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Value of multi-parameter 123I-MIBG scintigraphy in the differential diagnosis of Parkinson’s disease by Teng Xue, Ying Cui, Ying Kan, Guanyun Wang, Jigang Yang

“…However, due to variations in scanning conditions and image processing methodologies, the clinical utility of different parameters remains a subject of debate. …”
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Experimental study of the impact of deck-charge structure on blast-induced fragmentation by Zhixian Hong, Ming Tao, Shurong Feng, Hao Liu, Wenhong Wu, Xudong Li, Shuai Liu

“…Displacement and strain fields were analyzed employing a 3D digital image correlation (DIC) system, and the fragment size distribution (FSD) was quantified through ImageJ, an advanced image-processing tool. The borehole wall pressure (BWP) was monitored through the embedded PVDF gauges within the test specimens. …”
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Artificial intelligence for the detection of acute myeloid leukemia from microscopic blood images; a systematic review and meta-analysis by Feras Al-Obeidat, Wael Hafez, Wael Hafez, Asrar Rashid, Mahir Khalil Jallo, Munier Gador, Ivan Cherrez-Ojeda, Ivan Cherrez-Ojeda, Daniel Simancas-Racines

“…An automated optical image-processing system using artificial intelligence (AI) has recently been applied to facilitate clinical decision-making.AimTo evaluate the performance of all AI-based approaches for the detection and diagnosis of acute myeloid leukemia (AML).MethodsMedical databases including PubMed, Web of Science, and Scopus were searched until December 2023. …”
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Accurately Tunable AuNC‐ZIF Content Architecture Based on Coordination‐Dissociation Mechanism Enables Highly Brightness Dual‐Site Fluorescent Biosensor by Junyang Chen, Yuqian Wang, Runpu Shen, Wei Li, Sainan Gao, Zhikang Xiao, Qiyan Lv, Xiaojie Song, Jianzhong Xu, Gaoxiang Xu, Huifang Cui, Zhaohui Li

“…By employing an image‐processing algorithm, quantitative detection is achieved with a detection limit of 0.07 ng mL⁻1. …”
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Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking by Mahmoud Elmezain, Lyes Saad Saoud, Atif Sultan, Mohamed Heshmat, Lakmal Seneviratne, Irfan Hussain

“…However, the underwater environment presents unique challenges, including color distortion, limited visibility, and dynamic light conditions, which hinder the performance of traditional image processing methods. Recent advancements in deep learning (DL) have demonstrated remarkable success in overcoming these challenges by enabling robust feature extraction, image enhancement, and object recognition. …”
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Classifying Sunn Pest Damaged and Healthy Wheat Grains Across Different Species with YOLOV8 and Vision Transformers by Melike Çolak, Özgü Özkan, Ali Berkol, Nergis Pervan Akman, Murat Ardıç, Okan Sezer, Nazife Gözde Ayter Arpacıoğlu, Zekiye Budak Başçiftçi, Murat Olgun

“…Over time, the number of researchers focusing on this problem by using various machine learning algorithms and image processing techniques has increased. This paper presents an approach using a recurrent neural networks-based transformer to identify different varieties of wheat grain that have been sunn pest-damaged and healthy. …”
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MUNet: a novel framework for accurate brain tumor segmentation combining UNet and mamba networks by Lijuan Yang, Lijuan Yang, Qiumei Dong, Da Lin, Chunfang Tian, Xinliang Lü

“…However, existing models based on Transformers and Convolutional Neural Networks (CNNs) still have limitations in medical image processing. While Transformers are proficient in capturing global features, they suffer from high computational complexity and require large amounts of data for training. …”
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Number plate recognition smart parking management system using IoT by Allah Ditta, Muhammad Maroof Ahmed, Tehseen Mazhar, Tariq Shahzad, Yazan Alahmed, Habib Hamam

“…This study aims to address the urban vehicle parking issues by proposing a solution using Automatic Number Plate Recognition (ANPR) through image processing and a sensor-based hardware system. Integrating these technologies forms a Smart Parking Management System (SPMS) to automate parking processes and enhance the parking experience. …”
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Three-Dimensional Reconstruction and Numerical Simulation Analysis of Acid-Corroded Sandstone Based on CT by Zizhen Miao, Shuguang Li, Jiangsheng Xie, Runke Huo, Fan Ding, Hongtao Zhu, Xingzhi Yang, Xiaoke Li

“…To further explore the macro-mesoscopic damage evolution law and failure mechanisms of rock masses under corrosion conditions through numerical simulation, a zonal refined numerical model that can reflect the acid corrosion characteristics of sandstone is established based on CT and digital image processing (DIP). The uniaxial compression test of corroded sandstone is simulated by ABAQUS software. …”
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High-throughput phenotyping of wheat root angle and coleoptile length at different temperatures using 3D-printed equipment by Nevzat Aydin, Mesut Ersin Sönmez, Tuğba Güleç, Bedrettin Demir, Hadi Alipour, Aras Türkoğlu

“…We evaluated seedlings from eight different wheat genotypes across varying temperatures and validated our findings through image processing techniques. Results The analysis of variance in root architecture revealed significant differences among genotypes for root angle. …”
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Comparative analysis of deep learning models for crack detection in buildings by S. Siva Rama Krishnan, M. K. Nalla Karuppan, Adil O. Khadidos, Alaa O. Khadidos, Shitharth Selvarajan, Saarthak Tandon, Balamurugan Balusamy

“…In this research, we tackle the research gap and data scarcity by developing and curating a novel deep learning image processing for detecting cracks in brickwork. We also train and validate several deep learning models to classify brickwork images as either cracked or normal. …”
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Advancing Horticultural Crop Loss Reduction Through Robotic and AI Technologies: Innovations, Applications, and Practical Implications by H. W. Gammanpila, M. A. Nethmini Sashika, S. V. G. N. Priyadarshani

“…Tobal and Mokthar in 2014 pioneered an AI-assisted image processing method for weed identification, introducing an evolutionary ANN to optimize neural parameters using a genetic algorithm. …”
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