Human Action Recognition from Videos Using Motion History Mapping and Orientation Based Three-Dimensional Convolutional Neural Network Approach by Ishita Arora, M. Gangadharappa

“…This paper proposes a novel Motion History Mapping (MHI) and Orientation-based Convolutional Neural Network (CNN) framework for action recognition and classification using Machine Learning. …”
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Codex-Convolutes BnF Supplément Grec 607: Paleography, Codicology and Time of Making by Marina Kurysheva

“… The Greek manuscript-convolute BnF Suppl. gr. 607, consisting of five parts united under one binding, has not yet been the subject of a comprehensive codicological analysis, nor has a paleographic study of all its individual parts been carried out. …”
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Advancements in the Application of Convolutional Neural Networks in Ultrasound Imaging for Breast Cancer Diagnosis and Treatment by An Zichen, Li Fan

“…This review focuses on the application of convolutional neural networks (CNNs) within DL technology in the field of breast US. …”
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An Extensive Study of Convolutional Neural Networks: Applications in Computer Vision for Improved Robotics Perceptions by Ravi Raj, Andrzej Kos

“…This paper addresses the history, basic concepts, working principles, applications, and the most important components of CNNs. …”
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Enhancing market trend prediction using convolutional neural networks on Japanese candlestick patterns by Edrees Ramadan Mersal, Kürşat Mustafa Karaoğlan, Hakan Kutucu

“…This study discusses using Japanese candlestick (JC) patterns to predict future price movements in financial markets. The history of candlestick trading dates back to the 17th century and involves the analysis of patterns formed during JC trading. …”
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TECHNOLOGIES FOR DEVELOPING DECISION SUPPORT SYSTEMS FOR THE DIAGNOSIS OF BLOOD DISORDERS USING CONVOLUTIONAL NEURAL NETWORKS by U. V. Maslikova, A. A. Supilnikov

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Conflict between genetic and phenotypic differentiation: the evolutionary history of a 'lost and rediscovered' shorebird. by Frank E Rheindt, Tamás Székely, Scott V Edwards, Patricia L M Lee, Terry Burke, Peter R Kennerley, David N Bakewell, Monif Alrashidi, András Kosztolányi, Michael A Weston, Wei-Ting Liu, Wei-Pan Lei, Yoshimitsu Shigeta, Sálim Javed, Sama Zefania, Clemens Küpper

“…Here we conduct a molecular investigation of an enigmatic shorebird with a convoluted taxonomic history, the White-faced Plover (Charadrius alexandrinus dealbatus), widely regarded as a subspecies of the Kentish Plover (C. alexandrinus). …”
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RED-Net: A Neural Network for 3D Thyroid Segmentation in Chest CT Using Residual and Dilated Convolutions for Measuring Thyroid Volume by Min-Ji Kim, Jin-A Kim, Naae Kim, Yul Hwangbo, Hyun Jeong Jeon, Dong-Hwa Lee, Ji Eun Oh

“…We designed a residual and dilated convolution neural network (RED-Net), which automatically measures thyroid volume by segmenting the thyroid gland in contrast-enhanced chest CT scans. …”
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Testing a New Star Formation History Model from Principal Component Analysis to Facilitate Spectral Synthesis Modeling by Yanzhe Zhang, H. J. Mo, Katherine E. Whitaker, Shuang Zhou

“…The spectrum of a galaxy is a complicated convolution of many properties of the galaxy, such as the star formation history (SFH), initial mass function, and metallicity. …”
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Measuring the Intracluster Light Fraction with Machine Learning by Louisa Canepa, Sarah Brough, Francois Lanusse, Mireia Montes, Nina Hatch

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Autoencoder Reconstruction of Cosmological Microlensing Magnification Maps by Somayeh Khakpash, Federica B. Bianco, Georgios Vernardos, Gregory Dobler, Charles Keeton

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Diel and Annual Patterns of Vocal Activity of Three Neotropical Wetland Birds Revealed via BirdNET by Cristian Pérez-Granados, Karl-L. Schuchmann

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User preference modeling for movie recommendations based on deep learning by Yang Gao, Hong Zheng, Haonan Cui

“…While PageRank ranks the films based on their importance in the individual’s history of surfing, Convolutional Neural Network (CNN) predicts the possibility that the movie would be accepted. …”
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A Predictive Method for Unplanned Postoperative Readmission Risk Based on Heterogeneous Data by Kai YU, Xiaofeng DONG, Zhenming YUAN, Zhaojian CUI, Weibin LUO

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An automatic approach to detect skin cancer utilizing active infrared thermography by Ricardo F. Soto, Sebastián E. Godoy

“…Typically, malignant moles are identified through visual inspection, using dermatoscopy and patient history. Active thermography has emerged as an effective method to distinguish between malignant and benign lesions. …”
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Leveraging Deep Learning for Robust Structural Damage Detection and Classification: A Transfer Learning Approach via CNN by Burak Duran, Saeed Eftekhar Azam, Masoud Sanayei

“…Then, this acceleration time-history series was transformed into grayscale images, serving as inputs for a Convolutional Neural Network developed to detect and classify structural damage states. …”
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Automating skin cancer screening: a deep learning by Nada M. Rashad, Noha MM. Abdelnapi, Ahmed F. Seddik, M. A. Sayedelahl

“…Established risk factors include ultraviolet (UV) radiation exposure from solar or artificial sources, lighter skin pigmentation, a history of sunburns, and a family history of the disease. …”
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A hybrid deep learning framework for skin disease localization and classification using wearable sensors by Xiaoling Zhao, Huixin Zhang, Qian Zheng, Caihong Jing

“…In the proposed methodology, a convolutional neural network (CNN) integrates image-derived features with clinical data such as patient demographics, symptoms, and medical history. …”
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Detecting Galactic Rings in the DESI Legacy Imaging Surveys with Semisupervised Deep Learning by Jianzhen Chen, Zhijian Luo, Cheng Cheng, Jun Hou, Shaohua Zhang, Chenggang Shu

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Automated Caries Detection Under Dental Restorations and Braces Using Deep Learning by Yi-Cheng Mao, Yuan-Jin Lin, Jen-Peng Hu, Zi-Yu Liu, Shih-Lun Chen, Chiung-An Chen, Tsung-Yi Chen, Kuo-Chen Li, Liang-Hung Wang, Wei-Chen Tu, Patricia Angela R. Abu

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