Data protection enhancement in smart grid communication: An efficient multi-layer encrypting approach based on chaotic techniques and steganography by Osama abd Qasim, Sajjad Golshannavaz

“…The encryption process involves hiding the data encrypted by a digital dictionary and the advanced encryption standard (AES) algorithm in an image. …”
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Face Spoofing Detection with Stacking Ensembles in Work Time Registration System by Rafał Klinowski, Mirosław Kordos

“…The ensemble comprises a convolutional neural network (CNN), a smartphone bezel-detection algorithm to identify faces displayed on electronic devices, a face context analysis module, and additional CNNs for image processing. …”
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Application of support vector machine system introducing multiple submodels in data mining by Weinan Tang

“…By introducing open-source tools such as OpenCV, image feature extraction can be performed on large-scale video data. …”
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eLighthouse: Enhance Solar Power Coverage in Renewable Sensor Networks by Peng Liu, Yifan Wu, Jian Qiu, Guojun Dai, Tingting Fu

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DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge by Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana M. Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyunsu Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sebastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz R. Hernandez Petzsche, Michael Müller, Bjoern Menze, Jan S. Kirschke, Benedikt Wiestler

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RGB and Point Cloud-Based Intelligent Grading of Pepper Plug Seedlings by Fengwei Yuan, Guoning Ma, Qinghao Zeng, Jinghong Liu, Zhang Xiao, Zhenhong Zou, Xiangjiang Wang

“…Using these positions, the seedlings are segmented from both the RGB and 2D point cloud images. Subsequently, a deep learning-based leaf recognition algorithm processes the segmented RGB images to determine leaf count, while another deep learning-based algorithm segments the leaves in the 2D point cloud images to extract their spatial information. …”
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A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts. by Matheus Viana da Silva, Natália de Carvalho Santos, Julie Ouellette, Baptiste Lacoste, Cesar H Comin

“…Creating a dataset for training supervised machine learning algorithms can be a demanding task. This is especially true for blood vessel segmentation since one or more specialists are usually required for image annotation, and creating ground truth labels for just a single image can take up to several hours. …”
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Enhancing transportation network intelligence through visual scene feature clustering analysis with 3D sensors and adaptive fuzzy control by Jing Xu

“…Firstly, we construct a feature extraction framework for visual scenes using 3D sensors and employ a series of feature processing operators to repair cracks and noise in the images. …”
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Modelling and Estimation of Interior Orientation of Non-Metric Cameras using Artificial Intelligence by Hasanain A. Ajjah, Ahmed H H Alboabidallah, Mamoun U. Mohammed, Awesar A. Hussain

“…These cameras were unavailable to perform traditional calibration processes or use images from unknown sources for image measuring. …”
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Dataset of Centella Asiatica leaves for quality assessment and machine learning applicationsMendeley Data by Rohini Jadhav, Mayuri Molawade, Amol Bhosle, Yogesh Suryawanshi, Kailas Patil, Prawit Chumchu

“…Moreover, it provides a valuable platform for testing and validating algorithms in areas such as image categorization and object detection. …”
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Machine learning and deep learning in medicine and neuroimaging by Iván Sánchez Fernández, Jurriaan M. Peters

“…Machine learning is the subfield of artificial intelligence in which computers have the ability to learn and iteratively improve their performance without being explicitly programmed. Deep learning algorithms learn by processing the data with increasing levels of abstraction in each layer. …”
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The Mode of Constructing Safe Trajectories of Motion of the Unmanned Aerial Vehicle while Monitoring Power Lines Considering the Influence of their Electromagnetic Fields by Shabanova A.R., Tolstoy I.M., Lebedev I.V.

“…This problem was solved with algorithms for photo- and video-imaging and determination of wire sag. …”
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Fourier Features and Machine Learning for Contour Profile Inspection in CNC Milling Parts: A Novel Intelligent Inspection Method (NIIM) by Manuel Meraz Méndez, Juan A. Ramírez Quintana, Elva Lilia Reynoso Jardón, Manuel Nandayapa, Osslan Osiris Vergara Villegas

“…An algorithm generates a profile signature, extracting Fourier descriptor features from the contour profile to analyze form deviations compared to an image reference. …”
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Map-Guided Coarse-to-Fine Lunar Rover Localization via Multiview Crater Matching by Chenming Ye, Zhizhong Kang, Xue Wan, Shuai Shao, Juntao Yang, Zhen Cao

“…The results demonstrate that, starting from an initial estimate with an error margin of less than 50 m, our method significantly enhances localization accuracy, achieving meter-level precision, with most results concentrated within approximately 2 m. Furthermore, the algorithm operates at a subsecond processing speed, which ensures its execution during the rover’s panoramic imaging phase between motion and stop, thereby satisfying the real-time localization requirements of actual mission scenarios.…”
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An optimization method for hemi-diaphragm measurement of dynamic chest X-ray radiography during respiration based on graphics and diaphragm motion consistency criterion by Yingjian Yang, Jie Zheng, Peng Guo, Tianqi Wu, Qi Gao, Yong Li, Chengcheng Liu, Yang Liu, Yingwei Guo, Huai Chen

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Using machine vision to determine the rotational forces of electric motors by O.O. Shelukha, K.V. Molchanova, I.H. Babichev

“…To improve the dynamic characteristics of the system, it is proposed to optimize image processing algorithms, use more powerful computing resources, implement hardware acceleration, and optimize the transmission of the video stream.…”
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Research progress and prospect of key technologies of fruit target recognition for robotic fruit picking by Shaohua Liu, Jinlin Xue, Tianyu Zhang, Pengfei Lv, Huanhuan Qin, Tianxing Zhao

“…Here, we outline the research achievements and progress of traditional digital image processing methods by the researchers aiming at different disturbance factors in orchards and summarize the shortcomings of traditional digital image processing methods. …”
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Application of Hybrid Transform Domain Digital Watermarking in Power System Information Security by Shaomin Zhu, Zhiqiang Zhang

“…Therefore, how to realize digital media security effectively is becoming a challenging problem. A new image watermarking algorithm in hybrid transform domain was proposed. …”
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A Combination of SHA-256 and DES for Visual Data Protection by Aristides Bima Wintaka, Christy Atika Sari, Eko Hari Rachmawanto, Rabei Raad Ali

“…This study employs SHA-256 and DES algorithms to safeguard visual data through encryption and decryption processes. …”
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Extraction of Human Motion Information from Digital Video Based on 3D Poisson Equation by Yilin Wang, Baokuan Chang

“…Then, using the recognition algorithm of motion capture, after the above process, the three-dimensional model is obtained and matched with the model in the three-dimensional model database, the sequence with the smallest distance is calculated, and the corresponding skeleton is outputted as the results of action capture. …”
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