Computer Vision With Explainable Artificial Intelligence for Visual Pollution Detection in the Kingdom of Saudi Arabia by Alanoud Al Mazroa, Mohammed Maray, Abdullah M. Alashjaee, Faiz Abdullah Alotaibi, Ahmad A. Alzahrani, Abdulwhab Alkharashi, Shoayee Dlaim Alotaibi, Mrim M. Alnfiai

“…Building automated pollutants or pollution detection methods became progressively popular owing to the present growth of improved artificial intelligence methods. …”
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Multi-Layered Interactive Target Guidance with Visual Safety in Convex-Shaped Obstacle Environments by Kodai Kanno, Junya Yamauchi, Masayuki Fujita

“…In this paper, we consider a control architecture for a mobile robot equipped with visual sensors to pursue a target object in an environment with convex-shaped obstacles. …”
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College English Audio-Visual-Oral Teaching Mode from the Perspective of Artificial Intelligence by Li Ling

“…In light of BP neural network, the showing assessment model of school English audio-visual-oral is laid out, and the change technique of showing method of school English audio-visual-oral under AI is advanced. …”
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Privacy Protection of Digital Images Using Watermarking and QR Code-based Visual Cryptography by Akanksha Arora, Hitendra Garg, Shivendra Shivani

“…Lossless compression has been performed on the QR code-based shares. The compression method employed in visual cryptography would save space and time. …”
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Semantic SLAM system for mobile robots based on large visual model in complex environments by Chao Zheng, Peng Zhang, Yanan Li

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Engineering project management technology based on visual simulation module and particle swarm optimization by Hua Tian

“…To address these issues, a building information modeling development and design based on visual management was proposed to improve the efficiency of collecting and analyzing engineering data and information. …”
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Real-Time Visual Identification System to Assess Maturity, Size, and Defects in Dragon Fruits by Lambert Marc A. Cometa, Robert Kobe T. Garcia, Mary Ann E. Latina

“…However, due to inefficient manual inspection methods, farmers need help with quality control and market preparation. …”
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Visual Classification of Music Style Transfer Based on PSO-BP Rating Prediction Model by Tianjiao Li

“…In this paper, based on computer reading and processing of music frequency, amplitude, timbre, image pixel, color filling, and so forth, a method of image style transfer guided by music feature data is implemented in real-time playback, using existing music files and image files, processing and trying to reconstruct the fluent relationship between the two in terms of auditory and visual, generating dynamic, musical sound visualization with real-time changes in the visualization. …”
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Embedding-based pair generation for contrastive representation learning in audio-visual surveillance data by Wei-Cheng Wang, Sander De Coninck, Sam Leroux, Pieter Simoens

“…As data annotation is expensive, self-supervised methods such as contrastive learning are used to learn audio-visual representations for downstream tasks. …”
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The Visual Art Characteristics of Chinese Qing Dynasty Export Fans in the Cultural and Philosophical Perspective by Yuting Li, Yingli Yang, Kailin Huang

“…This paper employs a literature review and observational method, with "From aesthetic form to philosophical concept as its core logic, to visually analyze a range of export fans". …”
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Inter-evaluator bias and applicability of feline body condition score from visual assessment by Emily C. Graff, Emily C. Graff, Christopher R. Lea, Diane Delmain, Erin D. Chamorro, Xiaolei Ma, Jingyi Zheng, Yue Zhang, Emily Brinker, Kenzii Kittell, Mackenzie Hicks, Casey Pfister, Heather Hamilton, Qinghong Li, Qinghong Li, Douglas R. Martin, Douglas R. Martin, Xu Wang, Xu Wang, Xu Wang, Xu Wang

“…Body Condition Score (BCS) is an effective tool for assessing body weight and fat mass, as well as diagnosing obesity and abnormal weight loss. A method for visual assessment of BCS in cats would be useful to expand access for feline health and research. …”
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Shaping accessible public spaces for visually impaired people. The BUDD-e research experience by Andrea Rebecchi, Marcello Farina, Giuseppe Andreoni, Stefano Capolongo, Matteo Corno, Paolo Perego, Emanuele Lettieri

“…The paper describes both the method and the preliminary outcomes of the “Blind-assistive aUtonomous Droid Device: BUDD-e” research experience, funded by Polisocial Award 2021 of Politecnico di Milano, and designed to exploit a multidisciplinary approach to bridge the gap of inclusive design, making spaces and services accessible, functional, and usable by Blind and Visually Impaired (BVI) people. …”
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System for PCB Defect Detection Using Visual Computing and Deep Learning for Production Optimization by Gabriel Gomes de Oliveira, Gabriel Caumo Vaz, Marcos Antonio Andrade, Yuzo Iano, Leandro Ronchini Ximenes, Rangel Arthur

“…This study presents a system based on traditional visual computing and new deep learning methods to detect defects in electronic devices during the manufacturing process. …”
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The Effect of Manipulation of Visual, Vestibular and Proprioceptive Systems on Postural Control in Professional and Beginner Swimmers by Akram Rahmanpour, ali shamsi majelan, Nader Samami, Hamed Zarei

“…Also, there was no difference in visual and proprioceptive systems between professional and beginner swimmers. …”
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Dual-stage feature specialization network for robust visual object detection in autonomous vehicles by Ze Liu, Junhua Wu, Yingfeng Cai, Hai Wang, Long Chen, Qingchao Liu

“…Abstract Efficient feature representation is critical for accurate visual perception in autonomous vehicles. Existing two-stage object detection methods often suffer from feature interference between candidate region generation and classification regression tasks, leading to suboptimal performance in complex scenes. …”
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Cross-domain autonomous driving visual segmentation based on enhanced target data learning by Chaoyu Rao, Xiaoyong Fang, Yunzhe Zhang, Wanshu Fan, Dongsheng Zhou

“…Within the broader context of Information and Communications Technology (ICT), the quest for reliable and scalable visual segmentation methods poses significant challenges, particularly in autonomous driving, where real-world scene complexity requires advanced solutions. …”
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Fish feeding behavior recognition model based on the fusion of visual and water quality features by Zheng ZHANG, Bosheng ZOU

“…ObjectiveTo improve the accuracy of fish feeding behavior recognition in industrial aquaculture environment. MethodA fish feeding behavior recognition model was proposed based on the fusion of visual and water quality features, namely MC-ConvNeXtV2. …”
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APM-SLAM: Visual localization for fixed routes with tightly coupled a priori map by Linsong Xue, Qi Luo, Kai Zhang

“…Extensive experiments on public datasets demonstrate the superiority of our method in both mapping precision and localization accuracy, achieving decimeter-level translation precision. …”
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Enhancing Visual-Language Prompt Tuning Through Sparse Knowledge-Guided Context Optimization by Qiangxing Tian, Min Zhang

“…This approach, exemplified by CoOp-based methods, integrates mutable textual tokens with categorical tokens to foster nuanced textual comprehension. …”
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PSYCHOMETRIC VISUAL ANALOGUE SCALE IN ASSESSMENT OF THE STABLE ANGINA SEVERITY AND EFFICACY OF ANTIANGINAL THERAPY by E. V. Solyanik

“…To evaluate possibilities of psychometric visual analog scales (VAS) for assessment of the stable angina severity and efficacy of antianginal therapy. …”
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