Deep CNN and Deep GAN in Computational Visual Perception-Driven Image Analysis by R. Nandhini Abirami, P. M. Durai Raj Vincent, Kathiravan Srinivasan, Usman Tariq, Chuan-Yu Chang

“…This survey incorporates an overview of existing applications of deep learning in computational visual perception. The survey explores various deep learning techniques adapted to solve computer vision problems using deep convolutional neural networks and deep generative adversarial networks. …”
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YOLO-MMCE algorithm for visual detection of engineering vehicles in high-consequence area by Huimei SUN, Lu LIU, Degang WANG, Taiyong WANG

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Reading the Visual Aspects of the Grotesque Body in the Iranian Cinema and Theater Posters (1390s) by Amir Hossein Pormehr Yabandeh, Mohsen Marasy

“…The current research began by asking how the visual characteristics of the grotesque body appeared in Iranian theater and movie posters in the 1390s. …”
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Perception Oriented Haze Image Definition Restoration by Basing on Physical Optics Model by Hui Fu, Bin Wu, Yanhua Shao, Hongying Zhang

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Efficacy of Bluetooth-Based Data Collection for Road Traffic Analysis and Visualization Using Big Data Analytics by Ashish Rajeshwar Kulkarni, Narendra Kumar, K. Ramachandra Rao

“…Extracted information and analysis are presented through visualizations and tables. All data analytics and visualizations are carried out off-line in R Studio environment. …”
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Interactive visualization of large molecular systems with VTX: example with a minimal whole-cell model by Maxime Maria, Valentin Guillaume, Simon Guionnière, Nicolas Dacquay, Cyprien Plateau–Holleville, Vincent Larroque, Vincent Larroque, Jean Lardé, Jean Lardé, Yassine Naimi, Jean-Philip Piquemal, Jean-Philip Piquemal, Jean-Philip Piquemal, Guillaume Levieux, Nathalie Lagarde, Stéphane Mérillou, Matthieu Montes, Matthieu Montes

“…VTX employs a meshless molecular graphics engine utilizing impostor-based techniques and adaptive level-of-detail (LOD) rendering. This approach significantly reduces memory usage and enables real-time visualization and manipulation of large molecular systems. …”
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Analyzing Students’ Difficulty in Learning Geometry at Upper Secondary School in Cambodia: A Case Study on Vector by Sieng Veasna

“…It used an explanatory sequential mixed-methods design and collected data through tests on vector contents adapted from the Cambodia 10th-grade textbook. The instrument consisted of five test items, each assessing visual representation and conceptual understanding, and semi-structured interview questions. …”
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The Unique Immune System of Bats: An Evolutionary Analysis and Bibliometric Study by Rui Li, Wenliang Zhao, Apeng Chen, Zhiqiang Wu, Gejing De

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STRUCTURE OF ADAPTIVE SCANNING OF THE CASTINGS AND ROLLED METAL SURFACES CASTINGS by E. I. Marukovich, A. P. Markov, O. Ju. Bondarev, E. M. Patuk, S. S. Sergeev

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Urban resilience through adaptive multifutures and nature-based solutions by Sachit Mahajan

“…This article offers an innovative framework - the Adaptive Multifutures Framework (AMF) - that bridges implementation gaps through four interconnected components: participatory visioning, scenario planning, fractal design, and immersive visualization, aiming to transform how cities design and implement NBS.…”
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Mobile-AI-Based Docent System: Navigation and Localization for Visually Impaired Gallery Visitors by Hyeyoung An, Woojin Park, Philip Liu, Soochang Park

“…In this paper, we propose a novel Mobile-AI-based Smart Docent System that seamlessly integrates real-time navigation and depth of guide services to enrich gallery experiences for visually impaired users. Our system leverages camera-based on-device processing and adaptive BLE-based localization to ensure accurate path guidance and real-time obstacle avoidance. …”
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Efficient computation and visualization of ionospheric volumetric images for the enhanced interpretation of Incoherent scatter radar data by J. Araújo, F. López, S. Johansson, A. Westman, M. Bodin

“…Through real-time processing, our computational framework will enable a fast decision-making during the monitoring process, where the experimental parameters are adapted in real time as the radars monitor specific phenomena. …”
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A comprehensive machine learning for high throughput Tuberculosis sequence analysis, functional annotation, and visualization by Md. Saddam Hossain, Md. Parvez Khandocar, Farzana Akter Riti, Md. Yeakub Ali, Prithbey Raj Dey, S M Jahurul Haque, Amira Metouekel, Atrsaw Asrat Mengistie, Mohammed Bourhia, Farid Khallouki, Khalid S. Almaary

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Orchard-Wide Visual Perception and Autonomous Operation of Fruit Picking Robots: A Review by CHEN Mingyou, LUO Lufeng, LIU Wei, WEI Huiling, WANG Jinhai, LU Qinghua, LUO Shaoming

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Fish feeding behavior recognition model based on the fusion of visual and water quality features by Zheng ZHANG, Bosheng ZOU

“…To improve the behavior recognition performance of the model in high-density aquaculture, a multimodal feature fusion module (MFFM) was designed to achieve adaptive fusion of visual features and dissolve oxygen, temperature, and pH of water quality features. …”
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Enhancing Visual-Language Prompt Tuning Through Sparse Knowledge-Guided Context Optimization by Qiangxing Tian, Min Zhang

“…This technique aims to fortify the adaptable prompts’ capacity to generalize to categories yet unencountered. …”
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Gait Recognition via Enhanced Visual–Audio Ensemble Learning with Decision Support Methods by Ruixiang Kan, Mei Wang, Tian Luo, Hongbing Qiu

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A Visual Analysis and Review of Chinese Qilou Architectural Heritage Based on CiteSpace by Yilin Wu, Zhihong Chen, Xiuhong Lin, Xiaoqiang Tu

“…The research can be divided into four stages: exploration of basic features and historical background, exploration of architectural origins and development motives, cultural heritage protection and adaptive use, diversified perspectives, and multidisciplinary integration. …”
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Balancing Precision and Speed: Introducing the Performance Efficiency Evaluation Ratio (PEER) in Visual Odometry by Cem Atilgan, Muharrem Mercimek

“…Visual odometry is extensively utilized in robotics, autonomous navigation, and augmented reality to estimate motion by analyzing sequential images. …”
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Non-destructive Identification of Moldy Walnuts by Fusing X-Ray and Visual Image Features by NING Xinyue, ZHANG Hui, JI Shuai, LAI Lisi

“…First, the gray-level co-occurrence matrix (GLCM) was used to extract texture features from X-ray and visual images, and the first and second moments of the visual images were computed in different color spaces to comprehensively capture the internal and external moldiness characteristics of walnuts in order to construct an original moldy walnut feature set. …”
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