Deep Learning Implementation Using CNN to Classify Bali God Sculpture Pictures by Ni Luh Gede Pivin Suwirmayanti, I Wayan Budi Sentana, I Ketut Gede Darma Putra, Made Sudarma, I Made Sukarsa, Komang Budiarta

“…This research is motivated by the existence of various forms of God statues which have a central role in Balinese culture. The Deep Learning method is proposed because it has unique features that can be extracted automatically. …”
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Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram by Albert J. Rogers, Neal K. Bhatia, Sabyasachi Bandyopadhyay, James Tooley, Rayan Ansari, Vyom Thakkar, Justin Xu, Jessica Torres Soto, Jagteshwar S. Tung, Mahmood I. Alhusseini, Paul Clopton, Reza Sameni, Gari D. Clifford, J. Weston Hughes, Euan A. Ashley, Marco V. Perez, Matei Zaharia, Sanjiv M. Narayan

“…This study aimed to identify novel ECG features using deep learning to enhance WMA detection, referencing echocardiography as the gold standard. …”
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Upregulation of Neurotrophic Factors Selectively in Frontal Cortex in Response to Olfactory Discrimination Learning by Ari Naimark, Edi Barkai, Michael A. Matar, Zeev Kaplan, Nitzan Kozlovsky, Hagit Cohen

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Innovative approaches for skin disease identification in machine learning: A comprehensive study by Kuldeep Vayadande, Amol A. Bhosle, Rajendra G. Pawar, Deepali J. Joshi, Preeti A. Bailke, Om Lohade

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Skillful prediction of Indian Ocean Dipole index using machine learning models by J.V. Ratnam, Swadhin K. Behera, Masami Nonaka, Kalpesh R. Patil

“…In this study, we evaluated six machine learning models for their skill in predicting the Indian Ocean Dipole (IOD). …”
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Research of dynamic gesture recognition based on multi-instance learning of kinematics features by Cai-qiu ZHOU, Yu-wang YANG, Hai-bo PANG

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An optimal defensive deception framework for the container‐based cloud with deep reinforcement learning by Huanruo Li, Yunfei Guo, Penghao Sun, Yawen Wang, Shumin Huo

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Machine learning for QoS and security enhancement of RPL in IoT-Enabled wireless sensors by Abubakar Wakili, Sara Bakkali, Ahmed El Hilali Alaoui

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Drought Prediction Model of Pearl River Basin Based on SST and Machine Learning by FENG Xin, LIU Yanju, TONG Hongfu, QIAN Shuni

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An Unsupervised Deep Learning Framework for Retrospective Gating of Catheter-Based Cardiac Imaging by Zheng Sun, Yue Yao, Ru Wang

“…In this paper, we report on an end-to-end unsupervised learning framework for retrospective image-based gating (IBG) of catheter-based intracoronary images, named IBG Network. …”
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Deep and Machine Learning for Acute Lymphoblastic Leukemia Diagnosis: A Comprehensive Review by Mohammad Faiz, Bakkanarappa Gari Mounika, Mohd Akbar, Swapnita Srivastava

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Enhancing user experience in online learning environments: Design, evaluation, and usability techniques by Yaw Ofosu-Asare

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On improving training mechanisms teaching staff and prospects for targeted learning in the interests of universities by S. A. Kudzh, N. B. Golovanova

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Fake Detect: A Deep Learning Ensemble Model for Fake News Detection by Nida Aslam, Irfan Ullah Khan, Farah Salem Alotaibi, Lama Abdulaziz Aldaej, Asma Khaled Aldubaikil

“…Due to the nature of the dataset attributes, two deep learning models were used. For the textual attribute “statement,” Bi-LSTM-GRU-dense deep learning model was used, while for the remaining attributes, dense deep learning model was used. …”
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Ensemble learning driven Kolmogorov-Arnold Networks-based Lung Cancer classification. by Abdul Rahaman Wahab Sait, Eid AlBalawi, Ramprasad Nagaraj

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Communication strategies in the online teaching learning process during pandemic Covid-19 by Isnawijayani Isnawijayani, Rahma Santhi Zinaida, Genoveva Refina Virgi Handianita, Tri Widayatsih, Siti Rahayu, Dwi Muhammad Taqwa

“…Communication in education sector carried out by teachers and student, The main requirements are creation and communication of an effective learning and communicators in delivering learning material. …”
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STLNet: Symmetric Transformer Learning Network for Remote Sensing Image Change Detection by Liye Mei, Andong Huang, Zhaoyi Ye, Yaxiaer Yalikun, Ying Wang, Chuan Xu, Wei Yang, Xinghua Li

“…To address this, we propose a symmetric transformer learning network (STLNet) specifically tailored for remote sensing image CD tasks, constructed entirely using transformers. …”
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Analysis of Internet Financial Risk Control Model Based on Machine Learning Algorithms by Mingjin Liu, Ruijie Gao, Wei Fu

“…On the basis of traditional credit risk control, this paper proposes the demand and direction of a new credit risk control strategy based on machine learning and relying on big data. First, on the basis of introducing the basic algorithmic principles of machine learning, we give reasons for choosing machine learning models and build a machine learning-based Internet consumer finance credit risk control strategy model to provide theoretical support for the empirical analysis later. …”
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Academic and career motivation of future engineers through foreign language teaching and learning by Veronika G. Perchatkina, Julia N. Ziyatdinova

Subjects: “…foreign language teaching and learning…”
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Machine Learning Approaches to Natural Fiber Composites: A Review of Methodologies and Applications by Sivasubramanian Palanisamy, Nadir Ayrilmis, Kumar Sureshkumar, Carlo Santulli, Tabrej Khan, Harri Junaedi, Tamer Ali Sebaey

Subjects: “…machine learning…”
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