Deep attributes and decisions fusion for no-reference video quality analysis by Adil Baig

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A Secure Learned Image Codec for Authenticity Verification via Self-Destructive Compression by Chen-Hsiu Huang, Ja-Ling Wu

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TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation by Zekun Jiang, Dongjie Cheng, Ziyuan Qin, Jun Gao, Qicheng Lao, Abdullaev Bakhrom Ismoilovich, Urazboev Gayrat, Yuldashov Elyorbek, Bekchanov Habibullo, Defu Tang, Linjing Wei, Kang Li, Le Zhang

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Benchmarking of Anomaly Detection Methods for Industry 4.0: Evaluation, Ranking, and Practical Recommendations by Aurélie Cools, Mohammed Amin Belarbi, Sidi Ahmed Mahmoudi

“…Predictive maintenance leverages sensor data by analyzing vibrations, temperature, and pressure signals to anticipate failures and avoid production downtime. …”
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Digital Eye-Movement Outcomes (DEMOs) as Biomarkers for Neurological Conditions: A Narrative Review by Lisa Graham, Rodrigo Vitorio, Richard Walker, Gill Barry, Alan Godfrey, Rosie Morris, Samuel Stuart

“…Eye tracking has become a useful method for investigating visual system functioning, attentional processes, and cognitive mechanisms. …”
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The 20 m Africa rice distribution map of 2023 by J. Jiang, J. Jiang, J. Jiang, H. Zhang, H. Zhang, H. Zhang, J. Ge, J. Ge, J. Ge, L. Zuo, L. Xu, L. Xu, M. Song, M. Song, M. Song, Y. Ding, Y. Ding, Y. Ding, Y. Xie, Y. Xie, Y. Xie, W. Huang, W. Huang

“…Firstly, we use the time series statistical features of vertical transmit, horizontal receive (VH) data for fast coarse positioning and screening of possible rice areas and combine multiple auxiliary data for visual interpretation to construct the sample set; secondly, based on the complementary information in SAR data and optical data, the 20 m Africa rice distribution map of 2023 was completed by combining the object-oriented segmentation results of temporal optical images and the pixel-based classification results of temporal SAR data features after feature selection. …”
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TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors by Adonisz Dimitriu, Tamás Vilmos Michaletzky, Viktor Remeli

“…To ensure the generated textures are both effective in deceiving detectors and visually plausible, we introduce the Convolutional Smooth Loss function, a generalized smooth loss function. …”
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An integrated approach to image quality: comparative analysis of bilinear and nearest neighbor interpolation by Wusat Ullah, Seher Ilyas, Hamza Naveed, Saalam Ali

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KEXNet: A Knowledge-Enhanced Model for Improved Chest X-Ray Lesion Detection by Quan Yan, Junwen Duan, Jianxin Wang

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Affective Video Content Analysis: Decade Review and New Perspectives by Junxiao Xue, Jie Wang, Xiaozhen Liu, Qian Zhang, Xuecheng Wu

“…In recent years, with the rapid development of affective computing and the explosive growth of visual data, Affective Video Content Analysis (AVCA) as an essential branch of affective computing has become a widely researched topic. …”
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Self-Supervised Foundation Model for Template Matching by Anton Hristov, Dimo Dimov, Maria Nisheva-Pavlova

“…Currently available methods fail when insufficient training data are available or big variations in the textures, different modalities, and weak visual features exist in the images, leading to limited applications on real-world tasks. …”
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State of the Art and Future Directions of Small Language Models: A Systematic Review by Flavio Corradini, Matteo Leonesi, Marco Piangerelli

“…Designed as a resource for researchers seeking an in-depth global synthesis, the review examines key dimensions such as publication trends, visual data representations, contributing institutions, and the availability of public datasets. …”
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The Role of Color in User Experience: A Systematic Literature Study of User Preferences for Dark and Light Mode by M. Rifqi Atsani, Iif Alfiatul Mukaromah, M. Haikal Citra Anugerah

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Analysis of Tahfidz Program Entrance Examination Using C4.5 Method for Classification of Learning Groups in The Al-Mawaddah Region of Nurul Jadid Islamic Boarding School, Proboling... by Wahab Sya'roni, Yulia Sri Devi, Yanuar Ilmansyah

“…The application of Streamlit as a framework for creating interactive web applications makes it easier for users to enter entrance test data and study group classification results, making it easier to make decisions and plan to learn for Tahfid program administrators. …”
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Bone Segmentation in Low-Field Knee MRI Using a Three-Dimensional Convolutional Neural Network by Ciro Listone, Diego Romano, Marco Lapegna

“…These results demonstrate that the model achieves accurate segmentation with a high degree of overlap compared to manually segmented reference data. This accuracy results from meticulous fine-tuning of the network, along with the application of advanced data augmentation and post-processing techniques.…”
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Validation of New Student Registration Documents at Nurul Jadid University Using Convolutional Neural Network by Fathorazi Nur Fajri, Gulpi Qorik Oktagalu Pratamasunu, Kamil Malik

“…Each prospective new student can fill in data independently and upload documents such as Deeds, Family Register, Identity Cards, Diplomas, and SKHU. …”
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Dependency-Aware Entity–Attribute Relationship Learning for Text-Based Person Search by Wei Xia, Wenguang Gan, Xinpan Yuan

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Video completion in the presence of moving subjects based on segmentation using Neutrosophic sets by Amanna Ghanbari Talouki, Abbas Koochari, Seyyed Ahmad Edalatpanah

“…The background is reconstructed using image completion based on Neutrosophic-based segmentation, and the foreground is completed by identifying appropriate data that best match the missing parts; this data is chosen using a contour-based method, which this method applies neutrosophic sets to get to the most suitable data. …”
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Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI by Jianhong Cheng, Hulin Kuang, Songhan Yang, Hailin Yue, Jin Liu, Jianxin Wang

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CAMELS-FR dataset: a large-sample hydroclimatic dataset for France to explore hydrological diversity and support model benchmarking by O. Delaigue, G. M. Guimarães, P. Brigode, P. Brigode, P. Brigode, B. Génot, B. Génot, C. Perrin, J.-M. Soubeyroux, B. Janet, N. Addor, N. Addor, V. Andréassian

“…The first version presented here gathers hydroclimatic data and physical attributes for a set of 654 catchments in France. …”
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