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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STA-HAR: A Spatiotemporal Attention-Based Framework for Human Activity Recognition by Md. Khaliluzzaman, Md. Furquan, Mohammod Sazid Zaman Khan, Md. Jiabul Hoque

“…Human activity recognition (HAR) has gained significant attention in computer vision and human-computer interaction. This paper investigates the difficulties encountered in human activity recognition (HAR), precisely differentiating between various activities by extracting spatial and temporal features from sequential data. …”
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A New Local Optimal Spline Wavelet for Image Edge Detection by Dujuan Zhou, Zizhao Yuan, Zhanchuan Cai, Defu Zhu, Xiaojing Shen

“…Wavelet-based edge detection methods have evolved significantly over the years, contributing to advances in image processing, computer vision, and pattern recognition. This paper proposes a new local optimal spline wavelet (LOSW) and the dual wavelet of the LOSW. …”
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Detection of Bolt Looseness Based on Average Autocorrelation Function by Jigang Wu, Jun Shao, Gen Zhou, Deqiang Yang, Yuan Cheng

“…Then, an experimental system for bolt looseness detection based on computer vision is designed, and a verification experiment is carried out with the bolted connection plate as the experimental object. …”
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Multilabel Image Annotation Based on Double-Layer PLSA Model by Jing Zhang, Da Li, Weiwei Hu, Zhihua Chen, Yubo Yuan

“…Due to the semantic gap between visual features and semantic concepts, automatic image annotation has become a difficult issue in computer vision recently. We propose a new image multilabel annotation method based on double-layer probabilistic latent semantic analysis (PLSA) in this paper. …”
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Gradient pooling distillation network for lightweight single image super-resolution reconstruction by Zhiyong Hong, GuanJie Liang, Liping Xiong

“…The single image super-resolution (SISR) is a classical problem in the field of computer vision, aiming to enhance high-resolution details from low-resolution images. …”
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Time-Series Image-Based Automated Monitoring Framework for Visible Facilities: Focusing on Installation and Retention Period by Seonjun Yoon, Hyunsoo Kim

“…To address this, this study proposes an integrated monitoring framework that combines computer vision-based object detection and document recognition techniques. …”
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Computer-Aid System for Automated Jaundice Detection by Ahmad Yaseen Abdulrazzak, Saleem Latif Mohammed, Ali Al-Naji, Javaan Chahl

“…In this study, jaundice or hyperbilirubinemia is diagnosed using a computer vision system based on a random forest algorithm. …”
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Heavy and Lightweight Deep Learning Models for Semantic Segmentation: A Survey by Cristina Carunta, Alina Carunta, Calin-Adrian Popa

“…Semantic segmentation is an important computer vision task due to its numerous real-world applications such as autonomous driving, video surveillance, medical image analysis, robotics, augmented reality, among others, and its popularity increased with the development of deep learning approaches. …”
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Exploring Ultrasound-Induced Changes on Bioactive Content and Color Properties of Sour Cherry Juice Involving Insights From Image Processing Analysis by Nursena Aktı, Semanur Yildiz

“…This study highlights the evaluation of the process-induced changes for better preservation of bioactive content and quality of fruit juices as well as establishes a baseline for evaluating the quality of nonthermally processed fruit juices through computer vision-based techniques.…”
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Deep Learning Based Proactive Caching for Effective WSN-Enabled Vision Applications by Fangyuan Lei, Jun Cai, Qingyun Dai, Huimin Zhao

“…Wireless Sensor Networks (WSNs) have a wide range of applications scenarios in computer vision, from pedestrian detection to robotic visual navigation. …”
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A novel solar radiation forecasting model based on time series imaging and bidirectional long short‐term memory network by Zhaoshuang He, Xue Zhang, Min Li, Shaoquan Wang, Gongwei Xiao

“…First, inspired by the computer vision algorithm, the recursive graph algorithm is used to transform the one‐dimensional time series into two‐dimensional images, and then convolutional neural network is used to extract the features from the images, thus, the deeper features in the original solar radiation data can be mined. …”
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Detection and Adaptive Video Processing of Hyperopia Scene in Sports Video by Qingjie Chen, Minkai Dong

“…Moving target detection technology is an important branch of computer vision technology. Its function is to implement real-time monitoring, real-time video capture, and detection of objects in the target area and store information that users are interested in as an important basis for exercise. …”
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