Intelligent Control of Smooth Blasting Quality in Rock Tunnels Using BP-ANN, ENN, and ANFIS by Baoping Zou, Jianxiu Wang, Zhanyou Luo, Lisheng Hu

“…Moreover, the existing technology, which relies on the visual observation, empirical judgment, and artificial control, has difficulty meeting the requirements of tunnel smooth blasting construction quality control. …”
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Super-Resolution Three-Dimensional Topography Measurement Using Microsphere-Aided Broadband Light Interferometry by Keran Deng, Yangyi Liu, Fan Yang, Jian Huang, Lianghua Wen

“…In this paper, we proposed a microsphere-aided Mirau-based broadband light interferometry method to achieve super-resolution 3D topography reconstruction. …”
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The research on recognition of passenger abnormal behavior in urban rail transit stations based on conditional generative adversarial networks by Jing Zuo, Zexin Li, Ming He, Qiaoli Yang

“…With the exponential growth of urban rail transit passenger flow, manual monitoring for passenger abnormal behavior recognition is prone to missed detections and misjudgments due to visual fatigue. Developing rapid and accurate intelligent recognition method for passenger abnormal behavior has therefore become crucial for enhancing operational management and ensuring passenger safety. …”
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Automated quantification of SARS-CoV-2 pneumonia with large vision model knowledge adaptation by Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Sameer Antani

“…Methods: Our method used the pretrained LVMs as the primary feature extractor and self-supervised contrastive learning for domain adaptation. …”
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A deep reinforcement learning approach for wind speed forecasting by Shahab S. Band, Ting Jia Lin, Sultan Noman Qasem, Rasoul Ameri, Danyal Shahmirzadi, Muhammad Shamrooz Aslam, Hao-Ting Pai, Ely Salwana, Amir Mosavi

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Backdoor Attack Based on Lossy Image Compression Using Discrete Cosine Transform by Yuting Liu, Hong Gu, Annan Zhang, Pan Qin

“…We verified our proposed method on the ImageNet dataset. Experimental results indicate that DCTLICBA achieves a high attack success rate while maintaining visual invisibility and time efficiency. …”
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Real-Time Tracking by Double Templates Matching Based on Timed Motion History Image with HSV Feature by Zhiyong Li, Pengfei Li, Xiaoping Yu, Mervat Hashem

“…The experimental results show that the proposed method can efficiently handle the scale variation and pose change of the rigid and nonrigid objects, even in illumination change and occlusion visual environment.…”
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How to assess a university campus planning — a case study based on students’ spatio-temporal behavior by Weiwei Wang, Feng Zhen, Yang Cao, Yuyao Wang, Yagen Ou

“…The results indicate that, in addition to significant advantages in reliability, accuracy, and comprehensive judgment, the proposed method can visually reflect specific issues existing within tangible campus spaces and their impact on student behavior. …”
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Indentation measurement of thin plates using 3D digital image correlation and experimental validation by Juan-Antonio Almazán-Lázaro, Elías López-Alba, Francisco-Alberto Díaz-Garrido

“…Due to the setup limitations of conventional techniques for visually measuring indentations, the method presented here enables the measurement of displacement by processing the data from the opposite surface. …”
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Improved Multi-Sensor Fusion Dynamic Odometry Based on Neural Networks by Lishu Luo, Fulun Peng, Longhui Dong

“…The method first constructs visual–inertial and LiDAR–inertial odometry subsystems. …”
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An Exploratory Study on Workover Scenario Understanding Using Prompt-Enhanced Vision-Language Models by Xingyu Liu, Liming Zhang, Zewen Song, Ruijia Zhang, Jialin Wang, Chenyang Wang, Wenhao Liang

“…Therefore, this study proposes a well repair scene description method based on visual language technology and a cross-modal coupling prompt enhancement mechanism. …”
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Automatic Mushroom Species Classification Model for Foodborne Disease Prevention Based on Vision Transformer by Boyuan Wang

“…We visualized the high-dimensional outputs of the ViT-L/32 model to achieve the interpretability of ViT-L/32 using the t-distributed stochastic neighbor embedding (t-SNE) method. …”
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INTRODUCTION OF LASER TECHNOLOGY CONTROLLED THERMO-CRACKING IN RUSSIA by V. S. Kondratenko, A. S. Naumov, A. Yu. Rogov

“…The paper analyzes the advantages of LCT method in comparison with common now cutting way - scribing laser picosecond. …”
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Physics-Based Noise Modeling and Deep Learning for Denoising Permanently Shadowed Lunar Images by Haiyan Pan, Binbin Chen, Ruyan Zhou

“…The experimental results demonstrate that the proposed method can effectively recover topographic features obscured by noise, achieving the highest quantitative metrics and superior visual results.…”
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An overview of GabRat edge disruption and its new extensions for unbiased quantification of disruptive camouflaging patterns using randomization technique. by Masahiko Tanahashi, Min-Chen Lin, Chung-Ping Lin

“…Disruptive colorations are camouflaging patterns that use contrasting colorations to interrupt the continuity of object's edge and disturb the observer's visual recognition. The GabRat method has been introduced and widely used to quantify the strength of edge disruption. …”
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An efficient post-processing adaptive filtering technique to rectifying the flickering effects. by Anudeep Gandam, Jagroop Singh Sidhu, Sahil Verma, N Z Jhanjhi, Anand Nayyar, Mohamed Abouhawwash, Yunyoung Nam

“…This paper focuses on an efficient pre-and post-processing technique (PP-AFT) to address and rectify the problems of quantization error, ringing, blocking artifact, and flickering effect, which significantly degrade the visual quality of video frames. The PP-AFT method differentiates the blocked images or frames using activity function into different regions and developed adaptive filters as per the classified region. …”
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Automatic Tracking Control of Autonomous-rail Rapid Tram Based on Camera Vision, Inertial Measurement Unit and GPS Data by YUAN Xiwen, ZHANG Xinrui, HU Yunqing, GAO Xinpeng, HUANG Ruipeng

“…Using any single positioning method will cause the problem of low tracking availability. …”
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Medical image classification by incorporating clinical variables and learned features by Jiahui Liu, Xiaohao Cai, Mahesan Niranjan

“…Unlike most existing deep neural network models that only consider single-pixel information, our method captures a more comprehensive view. Our method contains two main steps and is effective in tackling the extra challenge raised by the scarcity of medical data. …”
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Determination of the Volume of Unboiled Arecanut Kernels using Image Processing by Salunke Ajit, Honnungar Sunilkumar, Vadivel Arunachalam

“…The research findings disclosed an average difference of 2.67% between volume estimations by image processing and the water displacement method. The paired t-test results revealed no significant difference (P >0.05) between the volumes obtained from the two methods. …”
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Intelligent Crack Detection and Quantification in the Concrete Bridge: A Deep Learning-Assisted Image Processing Approach by Licun Yu, Shuanhai He, Xiaosong Liu, Shuqing Jiang, Shuiying Xiang

“…Data augmentation technology is introduced to extend the limited dataset. In our proposed method, the bounding box for the crack is detected by YOLOv5. …”
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