Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods by Qingde Zhou, Lan Lan, Wei Wang, Xinchang Xu

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Deep Neural Learning Adaptive Sequential Monte Carlo for Automatic Image and Speech Recognition by Patcharin Kamsing, Peerapong Torteeka, Wuttichai Boonpook, Chunxiang Cao

“…This study implements an adaptive method for applying the particle filter technique with a gradient descent optimizer to improve model learning performance. Using a pretrained model helps reduce the computational time to deploy an image classification model and uses a simple deep convolutional neural network for speech recognition. …”
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Deep Learning Image Feature Recognition Algorithm for Judgment on the Rationality of Landscape Planning and Design by Bin Hu

“…This paper uses an improved deep learning algorithm to judge the rationality of the design of landscape image feature recognition. …”
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Deep-learning-assisted reconfigurable metasurface antenna for real-time holographic beam steering by Ma Hyunjun, Kim Jin-Soo, Choe Jong-Ho, Park Q-Han

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An Evolutionary Learning Whale Optimization Algorithm for Disassembly and Assembly Hybrid Line Balancing Problems by Xinshuo Cui, Qingbo Meng, Jiacun Wang, Xiwang Guo, Peisheng Liu, Liang Qi, Shujin Qin, Yingjun Ji, Bin Hu

“…To solve the model, an evolutionary learning-based whale optimization algorithm is developed. …”
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Age group classification based on optical measurement of brain pulsation using machine learning by Martti Ilvesmäki, Hany Ferdinando, Kai Noponen, Tapio Seppänen, Vesa Korhonen, Vesa Kiviniemi, Teemu Myllylä

“…Learning curves indicated stable classification performance with increasing sample size. …”
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Secure Image Reconstruction using Deep Learning-based Autoencoder with Integrated Encryption Layers by Wurood Abd Ali

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A Study on Using Hands-on Science Inquiries to Promote the Geology Learning of Preservice Teachers by Ching-San Lai

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The growth–environment nexus amid geopolitical risks: cointegration and machine learning algorithm approaches by Md. Idris Ali, Md. Atikur Rahaman, Mohammed Julfikar Ali, Md. Ferdausur Rahman

“…To validate robustness, the Kernel Regularized Least Squares (KRLS) machine learning approach is employed, confirming the consistency of results. …”
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Automated Breast Cancer Detection in Mammograms using Transfer Learningbased Deep Learning Models by Preeti Katiyar, Krishna Singh

“…The present study employs deep learning models trained using Transfer Learning (TL) techniques. …”
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Teaching and learning with instructional humor: a review of five-decades research and further direction by Weichen Zhou, Weichen Zhou, Jun Choi Lee

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Machine learning–based automated image processing for quality management in industrial Internet of Things by Nematullo Rahmatov, Anand Paul, Faisal Saeed, Won-Hwa Hong, HyunCheol Seo, Jeonghong Kim

“…In this article, we propose a highly efficient model to automate central processing unit system production lines in an industry such that images of the production lines are scanned and any abnormalities in their assembly are pointed out by the model and information about this is transferred to the system administrator via a cyber-physical cloud system network. A machine learning–based approach is used for proper classification. …”
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Application of deep learning algorithm for judicious use of anti-VEGF in diabetic macular edema by Anwesa Mondal, Apurba Nandi, Subhasish Pramanik, Lakshmi Kanta Mondal

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Enhancing Spam Filtering: A Comparative Study of Modern Advanced Machine Learning Techniques by Zhang Chenwei

“…With an emphasis on Naïve Bayes (NB), Decision Trees (DT), and Support Vector Machines (SVM), this study offers a thorough analysis of the major machine learning techniques utilized in contemporary spam filtering. …”
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Studi Awal Deteksi COVID-19 Menggunakan Citra CT Berbasis Deep Learning by Windra Swastika

“…This research is a preliminary study to see whether CT images of the thorax organs can be used as an alternative to detect COVID-19 virus. The deep learning is used to create a model with CT images as input. …”
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A Deep Learning Approaches for Enhancing Clinical Solutions to Cardiovascular Prediction Using EHR by Mounika Valasapalli, Nallagatla Raghavendra Sai

“…Current methods for cardiovascular disease prediction is leading to so many miss classifications, urging the need of modern automated Deep learning approaches. The main purpose of these approaches is to detect the occurrence of cardiovascular disease (CVD) using patient information from comprehensive electronic health records (HER). …”
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Time-series forecasting of microbial fuel cell energy generation using deep learning by Adam Hess-Dunlop, Harshitha Kakani, Stephen Taylor, Dylan Louie, Jason Eshraghian, Colleen Josephson

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Image Reconstruction for High-Performance Electrical Capacitance Tomography System Using Deep Learning by Yanpeng Zhang, Deyun Chen

“…An optimization model for imaging is generated as a powerful optimizer for building a computational model to ameliorate the reconstruction accuracy. Based on the deep learning methodology, the previous images reconstructed by using one of the imaging techniques to the required images are abstracted and stored in the deep learning machine, resulting in an error rate of 8.9%, and this is considered good on ECT. …”
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Multi-tenant computing network resource allocation algorithm based on deep reinforcement learning by HU Yuxiang, FENG Xu, DONG Yongji, HE Mengyang, ZHUANG Lei, SONG Yanrui

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Emerging trends in the optimization of organic synthesis through high-throughput tools and machine learning by Pablo Quijano Velasco, Kedar Hippalgaonkar, Balamurugan Ramalingam

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