Empowering Retail Through Advanced Consumer Product Recognition Using Aquila Optimization Algorithm With Deep Learning by Mohammed Alghamdi, Hanan Abdullah Mengash, Mohammed Aljebreen, Mohammed Maray, Abdulbasit A. Darem, Ahmed S. Salama

“…To achieve this, the ACPR-AOADL model first pre-processes the input data utilizing a Wiener filter (WF) to improve the image quality. …”
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A Double-Inertial Two-Subgradient Extragradient Algorithm for Solving Variational Inequalities with Minimum-Norm Solutions by Ioannis K. Argyros, Fouzia Amir, Habib ur Rehman, Christopher Argyros

“…Variational inequality problems (VIPs) provide a versatile framework for modeling a wide range of real-world applications, including those in economics, engineering, transportation, and image processing. In this paper, we propose a novel iterative algorithm for solving VIPs in real Hilbert spaces. …”
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New Adaptive Algorithms for GOP Size Control with Return Channel Suppression in Wyner-Ziv Video Coding by Charles Yaacoub, Joumana Farah, Béatrice Pesquet-Popescu

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Information Metasurface Technology-enabled Integrated Passive Wireless Communication System Based on Synthetic Aperture Radar by Hua LI, Kaiyu LIU, Yunkai DENG, Zhenning LI, Chao LUO, Jichen LI, Taoyu REN, Yao CHEN, Kaijiang XU

“…However, due to significant differences between the waveform characteristics, transceiver design, and signal processing algorithms of the technologies, integrating communication and remote sensing in spaceborne systems presents numerous challenges. …”
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Automated fluid monitoring to optimize the follow-up of neovascular age-related macular degeneration patients in the Brazilian population by Virginia Mares, Gregor S. Reiter, Aniel Feitosa, Markus Gumpinger, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Marcio B. Nehemy

“…Spectral-domain optical coherence tomography (Spectralis, Heidelberg Engineering, Germany) images were processed at baseline and over 2 years of follow-up. …”
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Algorithm development for recognizing human emotions using a convolutional neural network based on audio data by V. V. Semenuk, M. V. Skladchikov

“…Image processing methods are used.Results. The proposed algorithm makes it possible to recognize the emotional states of the subject on the basis of an audio data set. …”
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Hybrid Deep Neural Network Optimization with Particle Swarm and Grey Wolf Algorithms for Sunburst Attack Detection by Mohammad Almseidin, Amjad Gawanmeh, Maen Alzubi, Jamil Al-Sawwa, Ashraf S. Mashaleh, Mouhammd Alkasassbeh

“…Deep Neural Networks (DNNs) have been widely used to solve complex problems in natural language processing, image classification, and autonomous systems. …”
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An open dataset and machine learning algorithms for Niacin Skin-Flushing Response based screening of psychiatric disorders by Xuening Lyu, Rimsa Goperma, Dandan Wang, Chunling Wan, Liang Zhao

“…Results The established dataset comprises 600 high-quality NSR images from 120 individuals, encompassing a diverse cohort of healthy controls and patients with various mental illnesses. …”
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Graph neural processes for molecules: an evaluation on docking scores and strategies to improve generalization by Miguel García-Ortegón, Srijit Seal, Carl Rasmussen, Andreas Bender, Sergio Bacallado

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The role of fMRI in the mind decoding process in adults: a systematic review by Sahal Alotaibi, Maher Mohammed Alotaibi, Faisal Saleh Alghamdi, Mishaal Abdullah Alshehri, Khaled Majed Bamusa, Ziyad Faiz Almalki, Sultan Alamri, Ahmad Joman Alghamdi, Mohammed Alhazmi, Hamid Osman, Mayeen U. Khandaker

“…Studies were selected based on strict inclusion and exclusion criteria: peer-reviewed; published between 2000 and 2024 (in English); focused on adults; investigated mind-reading (mental state decoding, brain-computer interfaces) or related processes; and employed various mind-reading techniques (pattern classification, multivariate analysis, decoding algorithms). …”
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Multimodal fusion radiomic-immunologic scoring model: accurate identification of prostate cancer progression by Zhonglin Zhang, Huan Liu, Xiling Gu, Yang Qiu, Jiangqing Ma, Guangyong Ai, Xiaojing He

“…This study employed a comprehensive interdisciplinary approach, integrating CD3+/CD8 + T cell immunoanalysis with Multiparametric Magnetic Resonance Imaging (mpMRI) analysis, while adhering to a robust multi-phase feature selection process. …”
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AI-Driven Integrated System for Burn Depth Prediction With Electronic Medical Records: Algorithm Development and Validation by Md Masudur Rahman, Mohamed El Masry, Surya C Gnyawali, Yexiang Xue, Gayle Gordillo, Juan P Wachs

“…These imaging modalities were accessed and processed through an EMR system, enabling real-time data retrieval and AI-assisted evaluation. …”
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An intelligent optimized object detection system for disabled people using advanced deep learning models with optimization algorithm by Marwa Obayya, Fahd N. Al-Wesabi, Menwa Alshammeri, Huda G. Iskandar

“…At first, the Gaussian filter (GF) is employed in the image pre-processing stage to remove noise and make the image input data more transparent. …”
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Application of Virtual Reality Technology and Unsupervised Video Object Segmentation Algorithm in 3D Model Modeling by Hui Yang, Qiuming Liu

“…In this paper, an unsupervised VOS algorithm is proposed, which initializes the target by combining the moving edge of the target image and the appearance edge of the target and assists the modeling of the VR 3D model, which has reference significance for the future construction of large-scale VR scenes. …”
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Artificial Intelligence on Journalism: Algorithmic Power Targeting the Crack in Memory in the Example of ‘Religious Wave’ Terrorist Attacks by Fikriye Çelik

“…The digital technology that governs this historical process is a partner in the creation of an ambiguous world with its image attached to everyday life forms. …”
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A challenge in A(G)I, cybernetics revived in the Ouroboros Model as one algorithm for all thinking by Knud Thomsen

“…A topical challenge for algorithms in general and for automatic image categorization and generation in particular is presented in the form of a drawing for AI to “understand”. …”
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Automatic Filling Optimization Design of Filler Bodies in Umbilical Cross-Section Based on Quasi-Physical Algorithm by YIN Xu, CAO Donghui, TIAN Geng, YANG Zhixun, FAN Zhirui, WANG Gang, LU Yucheng, WANG Hui

“…In order to meet the requirement of dense cross-sectional layout in the umbilical cable design specification, a strategy for automatically filling filler bodies based on image recognition is introduced, in combination with the layout optimization process. …”
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Automated assessment of bridge guardrails for regional prioritization based on open-source data and deep learning algorithms by Giuseppe Santarsiero

“…This paper proposes an integrated methodology to automate the assessment of road guardrails installed on bridges using open-source data and deep learning (DL) algorithms. Besides the use of the consolidated YOLO (You Only Look Once) object detection algorithm to classify the safety barriers to establish whether they match the current standards, the process innovatively involves the extraction of bridge information from OpenStreetMap (OSM) to construct a database of existing bridges. …”
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Mandibular condyle detection using deep learning and double attractor-based energy valley optimizer algorithm by Mohamed Abd Elaziz, Abdelghani Dahou, Mushira Dahaba, Dina Mohamed ElBeshlawy, Mohammed Azmi Al-Betar, Mohammed A. Al-qaness, Ahmed A. Ewees, Arwa Mousa

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Complex Texture Contour Feature Extraction of Cracks in Timber Structures of Ancient Architecture Based on YOLO Algorithm by Jian Ma, Weidong Yan, Guoqi Liu, Shiyu Xing, Siqi Niu, Tong Wei

“…However, the timber structures of ancient architecture have strong orthotropic anisotropy and complex microscopic structures, and the law of cracks development is extremely complex. The image data has a large proportion of pixels, which is obviously different from the background gray value, and there is timber grain noise, thus the existing methods cannot accurately extract the complex texture contour feature of cracks. …”
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