GAN-Based Map Generation Technique of Aerial Image Using Residual Blocks and Canny Edge Detector by Jongwook Si, Sungyoung Kim

“…The experimental results demonstrate that this method generates maps of superior visual quality, achieving outstanding performance compared to existing methodologies. …”
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Image denoising based on deep feature fusion and U-Net network by Yong Zhang

“…Image noise hinders the understanding of images by advanced visual tasks, and removing image noise is a challenging task. …”
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An Improved Deep Learning Unsupervised Approach for MRI Tissue Segmentation for Alzheimer’s Disease Detection by Karan Kumar, Isha Suwalka, Adaora Uche-Ezennia, Celestine Iwendi, Cresantus N. Biamba

“…The analysis compares various mapping approaches to identify features linked to Alzheimer’s disease. The proposed method achieves a classification accuracy of 95.75% on the Open Access Series of Imaging Studies (OASIS) MRI brain image database, outperforming existing methods.…”
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Underwater Image Enhancement Based on Transformer, Attention, and Multi-Color-Space Inputs by Liqiong Lu, Dong Wu, Liuyin Wang, Wanzhen Zhang, Tonglai Liu

“…The comparison of image quality evaluation metrics, visual enhancement performance evaluation and impact on the performance of underwater object detection with other underwater enhancement methods on datasets including SUIM-E, UIEB, EUVP, RUIE-RIQS, RUIE-UCCS and URPC-2018 prove the good performance of our underwater image enhancement method.…”
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Preventing Shoulder-Surfing Attack with the Concept of Concealing the Password Objects’ Information by Peng Foong Ho, Yvonne Hwei-Syn Kam, Mee Chin Wee, Yu Nam Chong, Lip Yee Por

“…In this paper, a new method, which conceals information about the password objects as much as possible, is proposed. …”
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Scratch Scoring by a Sheet-shaped Body Vibrometer in Nocturnal Sleep: A Pilot Study Compared with Infrared Video Recording by Saori Toyota, Takamasa Kogure, Eitaro Kondo, Ken-ichi Yasuda, Yozo Ishiuji, Toshiya Ebata

“…Scratching time was then used as the gold standard, which was determined visually from the infrared video. The proposed method of detecting vibration was compared with the conventional method using the activity score measured by a sheet-shaped body vibrometer. …”
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A new exponentially directional weighted function based CT image denoising using total variation by Manoj Kumar, Manoj Diwakar

“…The proposed scheme is also compared with some standard existing methods and it is observed that performance of proposed scheme is superior to existing methods in terms of visual quality and performance metrics. …”
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On the Dynamism of Paintings Through the Distribution of Edge Directions by Adrien Deliege, Maria Giulia Dondero, Enzo D’Armenio

“…We demonstrate the applicability of our method in three key areas: studying the temporal evolution of dynamism across different artistic styles, as well as within the works of a single artist (Wassily Kandinsky), visualizing and clustering a large database of abstract paintings through PixPlot, and retrieving similarly dynamic images. …”
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Comparative Analysis between Active Contour and Otsu Thresholding Segmentation Algorithms in Segmenting Brain Tumor Magnetic Resonance Imaging by Sarah Husham, Aida Mustapha, Salama A. Mostafa, Mohammed K. Al-Obaidi, Mazin Mohammed, Alyaa Idrees Abdulmaged, S. Thomas George

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Ultrasound elastography of muscles in cerebral palsy: systematic review by V. M. Kenis, A. V. Sapogovskiy, E. V. Melchenko, O. E. Agranovich, A. I. Shubina, M. V. Zhurbitskaya

“…Ultrasound elastography is a group of diagnostic methods that allow visualizing tissue stiffness, measuring and displaying biomechanical properties of tissues. …”
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Increasing the Interlayer Fracture Toughness of Polymer Fabric Composites Using Local 3D-Reinforcement (Felting) by G. А. Forental, S. B. Sapozhnikov

“…The dependences of maximum normal and shear stresses, as well as displacements, were visualized in the form of graphs and color charts. To get the calculated “load — displacement” dependences using FEM, the reverse method of obtaining transverse shear constants was used. …”
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Implementation of RT-RAA and CRISPR/Cas13a for an NiV Point-of-Care Test: A Promising Tool for Disease Control by Jingqi Yin, Jin Cui, Hui Zheng, Tingting Guo, Rong Wei, Zhou Sha, Shaopeng Gu, Bo Ni

“…Compared with conventional detection methods, this RT-RAA-CRISPR/Cas13a-based method is rapid and simple and does not require scientific instruments. …”
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The Current Trends in Livestock Product Processing: Problems and Prospects by Glushkov Oleg A.

“…To achieve the set aim, a combination of methods was applied, ensuring the systematic and substantiated nature of the research into the development of the processing industry in animal husbandry, specifically: the method of statistical analysis for assessing the dynamics of raw material supplies and indicators of added value; the method of comparisons for analyzing changes in the industry and international experience; the graphical method for visualizing trends and results obtained; systematic analysis to determine the role of the sector in forming value-added chains and ensuring food security; the method of economic-mathematical modeling for calculating indicators for individual types of products. …”
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Efficient Region-Wise Packing of Stereoscopic ERP Videos Based on Information Loss Minimization by Hossein Pejman, Stephane Coulombe, Carlos Vazquez, Ahmad Vakili

“…To address these challenges, sub-sampled versions of the left and right views are usually used to form the spatial FC format, leading to a loss of visual quality. In this paper, we propose an efficient region-wise packing method for equirectangular projection (ERP) videos with minimum information loss by exploiting the uneven sampling characteristic of ERP. …”
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Simplified Calculation of the Inertia Moment of the Cross Section of the Console under Loading by E. E. Deryugin

“…Analytical and mathematical research methods were applied, specifically, the Huygens–Steiner theorem.Results. …”
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Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning by Ryan Santoso, Lisa Guignon, Guido Deissmann, Jenna Poonoosamy

“…However, accurate quantification of this transformation requires analyzing more than thousands of droplets identifying the different polymorphs of calcium carbonate during an experiment, which is labor-intensive. Here we develop a visual-based machine learning method, combining cascading U-Net and K-Means clustering, to allow efficient analysis of droplet microfluidics experiment results. …”
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A Multimodal Large Language Model Framework for Intelligent Perception and Decision-Making in Smart Manufacturing by Tianyu Wang, Bowen Zhang, Daqi Jiang, Dong Li

“…Experiments on relevant industrial datasets show that this method consistently performs better than current state-of-the-art approaches in tasks like image–text retrieval and visual question answering. …”
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Three-dimensional model reconstruction of pipeline with inner wall corrosion based on ultrasonic phased array technology by Yulong ZHANG, Rongguo HOU, Rui WANG, Miaomiao ZHANG, Zhe LYU

“…The inner wall corrosion of pipelines is concealed and hard to monitor in time. In order to visualize the shape of the internally corroded pipeline, as well as the defect volume and its spatial distribution, a three-dimensional (3D) model reconstruction method based on the ultrasonic phased array technology was proposed for the internally corroded pipeline. …”
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ITT: Long-Range Spatial Dependencies for Sea Ice Semantic Segmentation by Javier Noa Turnes, Mingzhe Jiang, Saeid Taleghanidoozdoozan, Linlin Xu, David A. Clausi

“…The method is trained to capture long-range spatial dependencies to overcome nonstationary class statistics. …”
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Spatiotemporal survival analysis for movement trajectory tracking in virtual reality by Omar Fahmi Jubran, Maximilian Philipp Wolkersdorfer, Vera Eymann, Nicole Burkard, Daniela Czernochowski, Marc Herrlich, Cees van Leeuwen, Thomas Lachmann

“…Abstract We present a novel method for analyzing response trajectory tracking data. …”
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