Food Quality Inspection and Grading Using Efficient Image Segmentation and Machine Learning-Based System by V. Hemamalini, S. Rajarajeswari, S. Nachiyappan, M. Sambath, T. Devi, Bhupesh Kumar Singh, Abhishek Raghuvanshi

“…This means that, by utilizing computer vision and image processing techniques, time-consuming and subjective industrial quality control processes can be eliminated. …”
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End-to-End Semantic Leaf Segmentation Framework for Plants Disease Classification by Khalil Khan, Rehan Ullah Khan, Waleed Albattah, Ali Mustafa Qamar

“…Over the last ten years, computer vision researchers proposed different algorithms for plant disease identification using ML. …”
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MethylBERT enables read-level DNA methylation pattern identification and tumour deconvolution using a Transformer-based model by Yunhee Jeong, Clarissa Gerhäuser, Guido Sauter, Thorsten Schlomm, Karl Rohr, Pavlo Lutsik

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The Fruit Recognition and Evaluation Method Based on Multi-Model Collaboration by Mingzheng Huang, Dejin Chen, Dewang Feng

“…Precision agriculture technology based on computer vision is of great significance in fruit recognition and evaluation. …”
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Movie scene segmentation using object detection and set theory by Ijaz Ul Haq, Khan Muhammad, Tanveer Hussain, Soonil Kwon, Maleerat Sodanil, Sung Wook Baik, Mi Young Lee

“…Movie data has a prominent role in the exponential growth of multimedia data over the Internet, and its analysis has become a hot topic with computer vision. The initial step towards movie analysis is scene segmentation. …”
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Digital technology and artificial intelligence issues in scientific works by A. N. Timokhovich, E. G. Samokhodkina, E. V. Samokhodkin, A. A. Elzon

“…The main semantic units, reflecting different aspects of the research field are digitalization; artificial intelligence (additional semantic units: knowledge representation, theorem proving, computer vision, robotics, machine learning, multi-agent systems, artificial intelligence tools); neural networks (additional semantic units: learning with a teacher, learning without a teacher, input data); strong or general artificial intelligence, weak or applied artificial intelligence; Marusya voice assistant, Alisa voice assistant, Siri voice assistant, Bixby voice assistant, Google Assistant; speech recognition, fingerprint recognition, human face identification. …”
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Deep Learning-Enabled Variational Optimization Method for Image Dehazing in Maritime Intelligent Transportation Systems by Xianjun Hu, Jing Wang, Chunlei Zhang, Yishuo Tong

“…Image dehazing has become a fundamental problem of common concern in computer vision-driven maritime intelligent transportation systems (ITS). …”
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Deep generative modeling of annotated bacterial biofilm images by Angelina A. Holicheva, Konstantin S. Kozlov, Daniil A. Boiko, Maxim S. Kamanin, Daria V. Provotorova, Nikita I. Kolomoets, Valentine P. Ananikov

“…Synthetic datasets can significantly improve the training of computer vision models for automated biofilm analysis, as demonstrated with the application of Mask R-CNN detection model. …”
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Low Cost Skin Segmentation Scheme in Videos Using Two Alternative Methods for Dynamic Hand Gesture Detection Method by Eman Thabet, Fatimah Khalid, Puteri Suhaiza Sulaiman, Razali Yaakob

“…Skin feature segmentation has been widely employed in different aspects of computer vision applications including face detection and hand gestures recognition systems. …”
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Application of Adaptive Image Restoration Algorithm Based on Sparsity of Block Structure in Environmental Art Design by Bo Liang, Xin-xin Jia, Yuan Lu

“…Image restoration is a research hotspot in computer vision and computer graphics. It uses the effective information in the image to fill in the information of the designated damaged area. …”
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Evaluation Performance of Ultrasonic Testing on Fruit Quality Determination by Fikret Yildiz, Ahmet Turan Özdemir, Selman Uluışık

“…The calculated volume values by the computer vision system are validated with the theoretical values. …”
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A Feature-Enhanced Small Object Detection Algorithm Based on Attention Mechanism by Zhe Quan, Jun Sun

“…With the rapid development of AI algorithms and computational power, object recognition based on deep learning frameworks has become a major research direction in computer vision. UAVs equipped with object detection systems are increasingly used in fields like smart transportation, disaster warning, and emergency rescue. …”
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A Comparative Analysis of YOLOv9, YOLOv10, YOLOv11 for Smoke and Fire Detection by Eman H. Alkhammash

“…Forest fires cause extensive environmental damage, making early detection crucial for protecting both nature and communities. Advanced computer vision techniques can be used to detect smoke and fire. …”
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Fully automated in vivo screening system for multi-organ imaging and pharmaceutical evaluation by Junhan Duan, Guanming Lin, Kangjian Jiao, Xiaohui Hong, Xudong Lin

“…Here, we develop and validate a fully automated in vivo screening system (AISS) that integrates microfluidic technology and computer-vision-based control methods to enable rapid evaluation of biological responses of non-anesthetized zebrafish to molecular gradients. …”
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GaitVision: Real-Time Extraction of Gait Parameters Using Residual Attention Network by Mohammad Farukh Hashmi, B. Kiran Kumar Ashish, Prabhu Chaitanya, Avinash Keskar, Sinan Q. Salih, Neeraj Dhanraj Bokde

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Multi-Modal Social Media Analytics: A Sentiment Perception-Driven Framework in Nanjing Districts by Meng Xia, Zhengyang Lu, Feng Wang

“…This study investigates the complex urban-rural dynamics of Nanjing through a novel multi-modal analysis of 76,288 social media posts, addressing the critical gap in understanding intra-city variations in perceived urban characteristics across rapidly developing Chinese cities. By integrating computer vision techniques with natural language processing, we develop a comprehensive framework for analyzing public sentiment and attention patterns across eleven districts. …”
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Network Congestion Control Algorithm for Image Transmission—HRI and Visual Light Communications of an Autonomous Underwater Vehicle for Intervention by Salvador López-Barajas, Pedro J. Sanz, Raúl Marín-Prades, Juan Echagüe, Sebastian Realpe

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Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach by Andre O. Francani, Marcos R. O. A. Maximo

“…Transformer-based architectures have dominated the state-of-the-art in natural language processing and computer vision tasks, such as image and video understanding. …”
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Emei Martial Arts Promotion Model and Properties Based on Neural Network Technology by Cheng Xing, N.E. Zainal Abidin, Yudong Tang

“…In recent years, neural networks have made great progress in various fields, such as speech recognition, computer vision, and natural language understanding. On this basis, the combination of neural networks and traditional recommendation methods is helpful for the better development of Emei Martial Arts promotion. …”
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A survey of autonomous robots and multi-robot navigation: Perception, planning and collaboration by Weinan Chen, Wenzheng Chi, Sehua Ji, Hanjing Ye, Jie Liu, Yunjie Jia, Jiajie Yu, Jiyu Cheng

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