Efficient Implementation of Matrix-Based Image Processing Algorithms for IoT Applications by Sorin Zoican, Roxana Zoican

“…The execution time of matrix-based image processing algorithms can be reduced by using CNN accelerators already integrated in some modern microcontrollers to implement artificial intelligence algorithms. …”
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Image Inpainting Algorithm Based on Structure-Guided Generative Adversarial Network by Li Zhao, Tongyang Zhu, Chuang Wang, Feng Tian, Hongge Yao

“…The proposed methodology advances a two-stage restoration paradigm: (1) Structural Prior Extraction, where adaptive edge detection algorithms identify residual contours in corrupted regions, and a transformer-enhanced network reconstructs globally consistent structural maps through contextual feature propagation; (2) Structure-Constrained Texture Synthesis, wherein a multi-scale generator with hybrid dilated convolutions and channel attention mechanisms iteratively refines high-fidelity textures under explicit structural guidance. …”
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RETRACTED: Comparative analysis of compression algorithms for four-dimensional light fields by R. G. Bolbakov, V. A. Mordvinov, A. D. Makarevich

“…When working with integrated light field cameras (Lytro) and setting the capture with a short baseline, it is recommended to use image compression algorithms (JPEG). …”
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Three-dimensional measurement enabled by single-layer all-in-one transmitting-receipting optical metasystem by Xiaoli Jing, Qiming Liao, Misheng Liang, Bo Wang, Junjie Li, Yongtian Wang, Rui You, Lingling Huang

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Transforming traffic accident investigations: a virtual-real-fusion framework for intelligent 3D traffic accident reconstruction by Yanzhan Chen, Qian Zhang, Fan Yu

“…This study proposes a novel virtual-real-fusion simulation framework that integrates traffic accident generation, unmanned aerial vehicle (UAV)-based image collection, and a 3D traffic accident reconstruction pipeline with advanced computer vision techniques and unsupervised 3D point cloud clustering algorithms. …”
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LoD2 Building Reconstruction from Stereo Satellite Imagery using Deep Learning and Model-Driven Approach by Rojgar Qarani Ismael, Haval Sadeq

“…The best performance of deep learning algorithms (U-Net, FCN, and Mask R-CNN) for building boundary segmentation was selected and then integrated with model-driven technique for the purpose of accurate geometric building fitting employing digital surface model (DSM) generated by semi global matching. …”
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INNOVATIVE MECHANISMS FOR IMPLEMENTING STATE ECONOMIC POLICY FOR POST-WAR RECONSTRUCTION OF UKRAINE: QUANTUM TRANSFORMATIONS AS A DRIVER OF DEVELOPMENT by Oleksiy Shkuratov, Liudmila Antonova, Roman Dzyuba

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Multi-Scale Attention Fusion Gesture-Recognition Algorithm Based on Strain Sensors by Zhiqiang Zhang, Jun Cai, Xueyu Dai, Hui Xiao

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The Impact of a Deep Learning Self-Adaptive Colour Restoration Pipeline for Deep Underwater Images in 3D Reconstruction by M. Vlachos, D. Skarlatos, S. Demesticha

“…The goal is to determine whether neural network-based colour correction can increase the number of valid feature correspondences, improve sparse and dense point cloud generation, and ultimately support more accurate and robust 3D reconstructions. By integrating this correction method within a photogrammetric workflow, the study investigates the potential benefits and limitations of data-driven colour enhancement in underwater environments. …”
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Improving SLICES crystal representation through CHGNet integration and parameter tuning by Bizhu Zhang, Kedeng Wu, Chang Zhang, Hang Xiao, Liangliang Zhu

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Plant Height Estimation in Corn Fields Based on Column Space Segmentation Algorithm by Huazhe Zhang, Nian Liu, Juan Xia, Lejun Chen, Shengde Chen

“…Addressing these issues through algorithm optimization, parallel processing, and the integration of additional data sources such as multispectral or LiDAR data could enhance its scalability and robustness. …”
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Using Segmentation to Boost Classification Performance and Explainability in CapsNets by Dominik Vranay, Maroš Hliboký, László Kovács, Peter Sinčák

“…Our method involves the integration of segmentation masks as reconstruction targets within the CapsNet architecture. …”
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Deep Learning-Based Intelligent Detection Algorithm for Surface Disease in Concrete Buildings by Jing Gu, Yijuan Pan, Jingjing Zhang

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YOLOv8-E: An Improved YOLOv8 Algorithm for Eggplant Disease Detection by Yuxi Huang, Hong Zhao, Jie Wang

“…Firstly, we integrate switchable atrous convolution (SAConv) into the C2f module to design the C2f_SAConv module, replacing some of the C2f modules in the backbone network of YOLOv8n, enabling our proposed algorithm to better extract eggplant disease features. …”
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Adaptive High-Precision 3D Reconstruction of Highly Reflective Mechanical Parts Based on Optimization of Exposure Time and Projection Intensity by Ci He, Rong Lai, Jin Sun, Kazuhiro Izui, Zili Wang, Xiaojian Liu, Shuyou Zhang

“…Image sequence under the obtained optimal intensities is fused using an integration of Genetic Algorithm and Stochastic Adam optimizer to maximize the image information entropy. …”
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Space alternating variational estimation based sparse Bayesian learning for complex‐value sparse signal recovery using adaptive Laplace priors by Zonglong Bai, Liming Shi, Jinwei Sun, Mads Græsbøll Christensen

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Generative Adversarial Network-Based Distortion Reduction Adapted to Peak Signal-to-Noise Ratio Parameters in VVC by Weihao Deng, Zhenglong Yang

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A High-Precision Method for Warehouse Material Level Monitoring Using Millimeter-Wave Radar and 3D Surface Reconstruction by Wenxin Zhang, Yi Gu

“…A Poisson Surface Reconstruction algorithm is then applied to generate a continuous 3D model of the grain heap. …”
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A Novel Trajectory Repairing Model Based on the Artificial Potential Field-Enhanced A* Algorithm for Small Coastal Vessels by Chengqiang Yu, Zhonglian Jiang, Xinliang Zhang, Wei He, Cheng Zhong

“…Speed distribution characteristics were extracted from historical trajectory points in different regions; on the basis of this, the A* algorithm, integrated with attractive and repulsive fields, was proposed to repair missing trajectory segments. …”
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Multiplane Optimizing Phase Holograms Using Advanced Machine Learning Algorithms and GPU Acceleration by Luz Hernández-Felipe, José Humberto Arroyo-Nuñez, César Camacho-Bello, Iván Rivas-Cambero

“…This paper presents a novel multiplane optimization approach for phase hologram generation to minimize the reconstruction error across multiple focal planes. We significantly improve holographic reconstruction quality by integrating advanced machine learning algorithms like RMSprop and Adam with GPU acceleration. …”
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