A Novel Raster Map Exchange Scheme Based on Visual Cryptography by Lijing Ren

“…The scheme avoids the random-looking shares of visual cryptography schemes which are vulnerable and hard to manage. …”
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PCVR: a pre-trained contextualized visual representation for DNA sequence classification by Jiarui Zhou, Hui Wu, Kang Du, Wengang Zhou, Cong-Zhao Zhou, Houqiang Li

“…Machine learning methods learn implicit patterns from data with encoding techniques such as k-mer counting and ordinal encoding, which fail to handle long sequences or sacrifice structural and sequential information. …”
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Real-Time Deep Intelligence Analysis and Visualization of COVID-19 Using FCNN Mechanism by Cherukuri Triveni, K. Suvarna Vani, M. Likhitha

“…The Analytic visualization suggests representing knowledge during a visual type that may be charts, graphs, lists, or maps. …”
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Merge Operation Effect On Image Compression Using Fractal Technique by Baghdad Science Journal

“…Experimental results on standard images show that the proposed method yields minimize (decrease) the encoding time and remain the quality results passable visually.…”
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PLFF-SLAM: A Point and Line Feature Fused Visual SLAM Algorithm for Dynamic Illumination Environments by Shucheng Huang, Wenhan Ren, Mingxing Li

“…This work proposes PLFF-SLAM, a point and line feature fused visual SLAM method, as a solution to these issues. …”
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Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks by Magdalena Fafrowicz, Marcin Tutajewski, Igor Sieradzki, Jeremi K. Ochab, Jeremi K. Ochab, Anna Ceglarek-Sroka, Koryna Lewandowska, Tadeusz Marek, Barbara Sikora-Wachowicz, Igor T. Podolak, Paweł Oświęcimka, Paweł Oświęcimka, Paweł Oświęcimka

“…In this contribution, we used machine learning techniques to classify tasks in a working memory experiment and identify the brain areas involved in processing information. …”
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“It will discourse most eloquent music”: Sonifying Variants of Hamlet by Iain Emsley, David De Roure

“…Sonification is a complementary technique to visualization that uses sound to describe relationships in data. …”
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Time series image coding classification theory based on Lagrange multiplier method by Wentao Jiang, Ming Zhao, Hongbo Li

“…To address this gap, our paper integrates time series image encoding with algebraic techniques, utilizing Gramian Angular Summation Fields (GASF) and Gramian Angle Difference Fields (GADF) as effective encoding methods. …”
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A Unified Approach to Video Anomaly Detection: Advancements in Feature Extraction, Weak Supervision, and Strategies for Class Imbalance by Rui Z. Barbosa, Hugo S. Oliveira

“…The research underscores the potential of multimodal VAD, highlighting the integration of audio and visual modalities and the development of multimodal fusion techniques. …”
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Separating Subjective from Objective Food Value in the Human Insula: An Exploratory Study Using Intracranial EEG by Benjamin Hébert-Seropian, Olivier Boucher, Daphné Citherlet, Manon Robert, François Richer, Dang Khoa Nguyen

“…<b>Background/Objectives</b>: The human insula is a key structure implicated in integrating internal states and external food cues, yet its precise role remains unclear, in part due to the temporal limitations of neuroimaging techniques like fMRI. To address this gap, we conducted an exploratory study using an intracranial EEG (iEEG) to investigate how the insula encodes both the subjective and objective properties of food-related stimuli, and how this encoding is modulated by hunger and satiety. …”
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Color as a High-Value Quantitative Tool for PET/CT Imaging by Michail Marinis, Sofia Chatziioannou, Maria Kallergi

“…The purpose of this work was to develop color-based, pre-processing methodologies for PET/CT data that could yield a better starting point for subsequent diagnosis and image processing and analysis. …”
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An Improved Low-Bit-Rate Image Compression Framework Based on Semantic-Aware Model and Neighborhood Attention by Chengbin Zeng, Liang Zhang

“…In addition, our proposed algorithm effectively mitigates distortions in facial and textual regions while preserving the structural integrity and visual fidelity. In future work, we plan to improve the model&#x2019;s robustness under low-light conditions and enhance compression efficiency through lightweight optimization techniques, enabling broader real-world deployment.…”
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SignFormer-GCN: Continuous sign language translation using spatio-temporal graph convolutional networks. by Safaeid Hossain Arib, Rabeya Akter, Sejuti Rahman, Shafin Rahman

“…To solve this, we used a joint encoding technique using a transformer and STGCN architecture to capture the context of sign language expressions and spatial and temporal dependencies on skeleton graphs. …”
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A recurrent YOLOv8-based framework for event-based object detection by Diego A. Silva, Kamilya Smagulova, Ahmed Elsheikh, Mohammed E. Fouda, Ahmed M. Eltawil

“…ReYOLOv8 incorporates a low-latency, memory-efficient method for encoding event data called Volume of Ternary Event Images (VTEI) and introduces a novel data augmentation technique based on Random Polarity Suppression (RPS) optimized for event-based sensors and tailored to leverage the unique attributes of event data. …”
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Robust Fusion of Time Series and Image Data for Improved Multimodal Clinical Prediction by Ali Rasekh, Reza Heidari, Amir Hosein Haji Mohammad Rezaie, Parsa Sharifi Sedeh, Zahra Ahmadi, Prasenjit Mitra, Wolfgang Nejdl

“…To tackle this challenge, we introduce a new method that uses two separate encoders, one for each type of data, allowing the model to understand complex patterns in both visual and time-based information. …”
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Automated road surface classification in OpenStreetMap using MaskCNN and aerial imagery by R. Parvathi, V. Pattabiraman, Nancy Saxena, Aakarsh Mishra, Utkarsh Mishra, Ansh Pandey

“…The architecture comprises a ResNet-50 encoder with squeeze-and-excitation blocks and a U-Net-style decoder with spatial attention. …”
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Innamark: A Whitespace Replacement Information-Hiding Method by Malte Hellmeier, Hendrik Norkowski, Ernst-Christoph Schrewe, Haydar Qarawlus, Falk Howar

“…We discuss the limits to the embedding capacity and robustness of the algorithm and how these could be addressed in future work.…”
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Information-Theoretical Analysis of a Transformer-Based Generative AI Model by Manas Deb, Tokunbo Ogunfunmi

“…The highlight of our study is that, using Information-Theoretical tools, we develop techniques to visualize on an Information plane how the Transformer encodes the relationship between words in sentences while these words are projected into a high-dimensional vector space. …”
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Research on Digital Media Art for Image Caption Generation Based on Integrated Transformer Models in CLIP by Lu Gao, Xiaofei Pang

“…In digital media art exhibitions or online works displays, some complex image works may have multiple layers of meanings or abstract expressions, which can help viewers better understand the works. …”
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Monitoring mRNA vaccine antigen expression in vivo using PET/CT by Gabrielle S. Blizard, Garima Dwivedi, Yi-Gen Pan, Catherine Hou, Jean M. Etersque, Hooda Said, Anik Chevrier, Marc Lavertu, Houping Ni, Benjamin Davis, Ying Tam, Quy Cao, Robert H. Mach, Drew Weissman, Mohamad-Gabriel Alameh, Mark A. Sellmyer

“…Fusion of eDHFR did not impact S2P immunogenicity and no humoral or cellular immune response was detected against eDHFR in either species. In this work, we show that eDHFR can be used as an mRNA-encoded PET reporter gene to monitor the spatiotemporal dynamics of mRNA vaccine antigen expression in vivo. …”
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