Building a Framework for Visual Question Answering Systems by Maya Abu Hamoud, Wasim Safi

“…VQA (Visual Question Answering) systems are among the latest advancements in the fields of artificial intelligence and deep learning. They integrate image processing with natural language understanding to enable intelligent systems to answer questions related to image content. …”
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Pore Space Reconstruction of Shale Using Improved Variational Autoencoders by Yi Du, Hongyan Tu, Ting Zhang

“…The recent branch of deep learning, variational auto-encoders (VAEs), has good capabilities of extracting characteristics for reconstructing similar images with the training image (TI). The theory of Fisher information can help to balance the encoder and decoder of VAE in information control. …”
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Scientific inquiry in the learning of natural sciences for social skills in students and process management for health by Víctor Mario Culqui Rojas, Nathalie Parra Gálvez, Gladys Espinoza Vásquez, Violeta Leonor Romero-Carrión, Luz Antonia Barreto Espinoza, Luz Karen Flores Pérez

“…Two variables were evaluated in one of the four dimensions of corporate image. <br /><strong>Results:</strong> the educational institution lacks a solid corporate image, without promoting digital competencies and social skills of teachers. 76 % of those surveyed rated the social skills for learning in the services offered to the user dimension with a medium level, 14 % low and 10 % high. 55 % rated process management for user health at a medium level, 8 % low and 10 % high. …”
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A multitasking ant system for multi-depot pick-up and delivery location routing problem with time window by Haoyuan Lv, Ruochen Liu, Jianxia Li

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Achieving Faster and Smarter Chest X-Ray Classification With Optimized CNNs by Hassen Louati, Ali Louati, Khalid Mansour, Elham Kariri

“…X-ray imaging is essential in medical diagnostics, particularly for identifying anomalies like respiratory diseases. …”
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Tongue Color Analysis and Diseases Detection Based on a Computer Vision System by Abdulghafor Khudhaer Abdullah, Saleem Lateef Mohammed, Ali Al-Naji, Mohammed Sameer Alsabah

“…Quantitative diagnosis of the tongue requires some devices, including image acquisition devices such as cameras, light sources, filters, color checkers, image analysis and processing devices through the application of some algorithms or image processing and color correction software, as well as a computer. …”
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Textural Analysis of Nuclear Mitotic Apparatus Antigen (NuMA) Spatial Distribution in Interphase Nuclei from Human Drug-Resistant CEM Lymphoblasts by Naima Rafki‐Beljebbar, Françoise Liautaud‐Roger, Dominique Ploton, Jean Dufer

“…In conclusion, chromatin changes observed by image cytometry in drug‐resistant human leukemic CEM cells appear associated with modifications of the nuclear matrix structure.…”
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A Review of CNN Applications in Smart Agriculture Using Multimodal Data by Mohammad El Sakka, Mihai Ivanovici, Lotfi Chaari, Josiane Mothe

“…Key approaches analyzed involve image classification, image segmentation, regression, and object detection methods that use diverse data types ranging from RGB and multispectral images to radar and thermal data. …”
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Spectral Velocity of the Ground Surface in Alluvial Soils due to the Presence of Circular Urban Subway Tunnels by Hamed Fakhriyeh, Reza Vahdani, Mohsen Gerami

“…In tunnels with greater overhead depth, the spectral velocity of the ground surface increases by a maximum of 10.86% with increasing thickness of the tunnel lining and occurs in the image of the center of the tunnel on the ground surface. …”
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EEG-to-EEG: Scalp-to-Intracranial EEG Translation Using a Combination of Variational Autoencoder and Generative Adversarial Networks by Bahman Abdi-Sargezeh, Sepehr Shirani, Antonio Valentin, Gonzalo Alarcon, Saeid Sanei

“…It has extensively been employed in image-to-image and text-to image translation. We propose an EEG-to-EEG translation model to map the scalp-mounted EEG (scEEG) sensor signals to intracranial EEG (iEEG) sensor signals recorded by foramen ovale sensors inserted into the brain. …”
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Towards Efficient Object Detection in Large-Scale UAV Aerial Imagery via Multi-Task Classification by Shuo Zhuang, Yongxing Hou, Di Wang

“…Achieving rapid and effective object detection in large-scale unmanned aerial vehicle (UAV) images presents a challenge. Existing methods typically split the original large UAV image into overlapping patches and perform object detection on each image patch. …”
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IMTLM-Net: improved multi-task transformer based on localization mechanism network for handwritten English text recognition by Qianfeng Zhang, Feng Liu, Wanru Song

“…One of the fundamental yet challenging tasks is to recognize images of handwritten English text as editable text accurately. …”
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Research on Airport Target Recognition under Low-Visibility Condition Based on Transfer Learning by Jiajun Li, Yongzhong Wang, Yuexin Qian, Tianyi Xu, Kaiwen Wang, Liancheng Wan

“…Therefore, the low-visibility image is processed with 11 different fog removals and vision enhancement algorithms, and then, the GoogLeNet deep neural network algorithm is used to identify the image. …”
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Deep Learning for Traffic Scene Understanding: A Review by Parya Dolatyabi, Jacob Regan, Mahdi Khodayar

“…It examines fundamental techniques such as classification, object detection, and segmentation, and extends to more advanced applications like action recognition, object tracking, path prediction, scene generation and retrieval, anomaly detection, Image-to-Image Translation (I2IT), and person re-identification (Person Re-ID). …”
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Internal situation in USSR in Russian emigration press in the United States (1964–1982) by T. S. Kulepanova

“…The article is devoted to the formation of the image of the USSR in the Russian diaspora in the United States under the impact of the events of Soviet domestic policy 1964–1982. …”
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Mechanical Properties Measurement of Polymer Films by Bulge Test and Fringe Projection by C. S. Lin, T. L. Horng, J. H. Chen, K. H. Chen, J. J. Wu, C. Y. Chen, S. H. Ma

“…A setup of the bulge test, consisting of single chips and digital on-off valves, was used to achieve automatic precision control of pressure application to gas chamber with a circular polyimide (PI) test film fixed on the opening of it. A deformed image was then obtained via fringe projections with a series of optical apparatuses, and a 3D membrane deformation distribution was further achieved from this deformed image by some image processes that are chiefly through wavelet transformation and phase expansion. …”
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Gamified Virtual Reality Training for Visuospatial Ability in Neuroradiology by Allgaier Mareen, Jered Härtel Tim, Zubel Seraphine, Thormann Maximilian, Behme Daniel, Preim Bernhard, Saalfeld Sylvia

“…To train this visuospatial ability, we present a virtual reality application where the user has to identify anatomically relevant positions on the Circle of Willis based on a 2D projection image. This image is generated based on a 3D model using a Fresnel shader. …”
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Measurement of SUVs-Maximum for Normal Region Using VOI in PET/MRI and PET/CT by Jeong Kyu Park, Sung Kyu Kim, Ihn Ho Cho, Eun Jung Kong

“…The participants as objects of this investigation are 26 healthy examinees in Korea, SUV (standardized-uptake-value)s-maximum evaluation for whole-body F-18 FDG (fluorodeoxyglucose) PET/MRI image using VOI of normal region has exhibited very significant difference to that for whole-body F-18 FDG PET/CT image (significant probability value (P)<0.0001). …”
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Usability Assessment of Technologies for Remote Monitoring of Knee Osteoarthritis by Andrea Cafarelli, Angela Sorriento, Giorgia Marola, Denise Amram, Fabien Rabusseau, Herve Locteau, Paolo Cabras, Erik Dumont, Sam Nakhaei, Ake Jernberger, Par Bergsten, Paolo Spinnato, Alessandro Russo, Leonardo Ricotti

“…<italic>Methods:</italic> We recruited eleven patients affected by mild or moderate knee osteoarthritis, eleven caregivers, and eleven clinicians to assess the following technologies: a wristband for monitoring physical activity, an examination chair for measuring leg extension, a thermal camera for acquiring skin thermographic data, a force balance for measuring center of pressure, an ultrasound imaging system for remote echographic acquisition, a mobile app, and a clinical portal software. …”
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Unveiling GPT-4V's hidden challenges behind high accuracy on USMLE questions: Observational Study by Zhichao Yang, Zonghai Yao, Mahbuba Tasmin, Parth Vashisht, Won Seok Jang, Feiyun Ouyang, Beining Wang, David McManus, Dan Berlowitz, Hong Yu

“…However, the ability of these models to interpret medical images remains underexplored. ObjectiveThis study aimed to comprehensively evaluate the performance, interpretability, and limitations of GPT-3.5 Turbo, GPT-4, and its successor, GPT-4 Vision (GPT-4V), specifically focusing on GPT-4V’s newly introduced image-understanding feature. …”
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