Predicting bursal-side supraspinatus tendon tears with the acromioclavicular angle by Nadhaporn Saengpetch, Jaturong Bamrungchaowkasem, Niyata Chitrapazt, Pinkawas Kongmalai

“…Background: Bursal-side supraspinatus tendon tears are a common form of rotator cuff injury, often associated with acromial impingement and other extrinsic factors. …”
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Physics-Informed Neural Networks for Heat Pump Load Prediction by Viorica Rozina Chifu, Tudor Cioara, Cristina Bianca Pop, Ionut Anghel, Andrei Pelle

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BASED ON NEURAL NETWORK RELIABILITY STUDY OF SHEARER’S CUTTING PART by ZHAO LiJuan, FAN JiaYi

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Classification of Melanoma Cancer Using Deep Convolutional Neural Networks by Emrah Dönmez, Ali Güneş

“…This study investigates the application of machine learning techniques to diagnose skin lesions, focusing on differentiating between benign moles and malignant melanoma. A Convolutional Neural Network (CNN) model was developed to explore machine learning's efficacy in this context. …”
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Corneal Debridement Combined with Intrastromal Voriconazole for Recalcitrant Fungal Keratitis by Yajie Sun, Zhuo Sun, Yukai Chen, Guohua Deng

“…To analyze the therapeutic effects of corneal debridement combined with intrastromal voriconazole in recalcitrant fungal keratitis. Methods. This is a retrospective study. …”
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Encrypted traffic classification method based on convolutional neural network by Rongna XIE, Zhuhong MA, Zongyu LI, Ye TIAN

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Harnessing nature: Phytoextracts as sustainable remedies for fungal crop diseases by Nayeema jan, Mansoor Ahmad Malik, Nusrat Ahmad, Mohd Yaqub Bhat

“…Since from dawn human civilization have relied on nature for solutions, finding natural products to be the most effective in maintaining development and the health of our environment. Fungal pathogens are a major contaminant in agroecosystems, causing around 70–80 % of microbial crop losses. …”
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Detection and Classification of Sporadic E Using Convolutional Neural Networks by J. A. Ellis, D. J. Emmons, M. B. Cohen

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Study on fungal contaminants in aborted calves of cattle herds in Iran by Samaneh Eidi, Hesam A. Seifi, Soheil Sadr, Hamideh Zeinali

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Neural network recognition algorithm of breath sounds based on SVM by Gou-dong LIU, Jing XU

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Experimental Analysis of Neural Approaches for Synthetic Angle-of-Attack Estimation by Angelo Lerro, Piero Gili, Mario Luca Fravolini, Marcello Napolitano

“…In the class of data-driven observers, multilayer perceptron neural networks are widely used to approximate the input-output mapping angle-of-attack function. …”
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Analysis of Artificial Neural Network: Architecture, Types, and Forecasting Applications by Manogaran Madhiarasan, Mohamed Louzazni

“…The artificial neural network reduces humanity and society’s burden to solve complex problems highly efficiently. …”
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Prediction of Future Terrorist Activities Using Deep Neural Networks by M. Irfan Uddin, Nazir Zada, Furqan Aziz, Yousaf Saeed, Asim Zeb, Syed Atif Ali Shah, Mahmoud Ahmad Al-Khasawneh, Marwan Mahmoud

“…Five different models based on deep neural network (DNN) are created to understand the behavior of terrorist activities such as is the attack going to be successful or not? …”
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Aspecte ale funcţiei poetice în literatură şi jurnalism by Marius Ţuca

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Equitable artificial intelligence for glaucoma screening with fair identity normalization by Min Shi, Yan Luo, Yu Tian, Lucy Q. Shen, Nazlee Zebardast, Mohammad Eslami, Saber Kazeminasab, Michael V. Boland, David S. Friedman, Louis R. Pasquale, Mengyu Wang

“…We developed fair identify normalization (FIN) module to equalize the feature importance across different identity groups to improve model performance equity. …”
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Mapping and modeling age-related changes in intrinsic neural timescales by Kaichao Wu, Leonardo L. Gollo

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Impaired GABA Neural Circuits Are Critical for Fragile X Syndrome by Fei Gao, Lijun Qi, Zhongzhen Yang, Tao Yang, Yan Zhang, Hui Xu, Huan Zhao

“…Neural Plasticity…”
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Neural Density Functional Theory of Liquid-Gas Phase Coexistence by Florian Sammüller, Matthias Schmidt, Robert Evans

“…Our neural framework yields results that improve significantly upon standard mean-field treatments of interparticle attraction. …”
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New Space Companies Meet a “Normal” Solar Maximum by Noé Lugaz, Huixin Liu, Brett A. Carter, Jennifer Gannon, Shasha Zou, Steven K. Morley

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Neural Network Technologies in Predicting the Operating Status of Agricultural Enterprises by Aleksandr V. Grachev

Subjects: “…neural networks…”
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