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

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Enhancement of convolutional neural network for urban environment parking space classification by S. Rahman, M. Ramli, F. Arnia, R. Muharar, M. Ikhwan, S. Munzir

Subjects: “…deep learning…”
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APDL: an adaptive step size method for white-box adversarial attacks by Jiale Hu, Xiang Li, Changzheng Liu, Ronghua Zhang, Junwei Tang, Yi Sun, Yuedong Wang

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Gradient Amplification: An Efficient Way to Train Deep Neural Networks by Sunitha Basodi, Chunyan Ji, Haiping Zhang, Yi Pan

Subjects: “…deep learning…”
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Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder by Shagufta Almas, Fazli Wahid, Sikandar Ali, Ahmed Alkhyyat, Kamran Ullah, Jawad Khan, Youngmoon Lee

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Battery Prognostics and Health Management: AI and Big Data by Di Li, Jinrui Nan, Andrew F. Burke, Jingyuan Zhao

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A comparison of several intrusion detection methods using the NSL-KDD dataset by hazem salim abdullah

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Uncertainty quantification in multi-parametric MRI-based meningioma radiotherapy target segmentation by Lana Wang, Zhenyu Yang, Zhenyu Yang, Dominic LaBella, Zachary Reitman, John Ginn, Jingtong Zhao, Justus Adamson, Kyle Lafata, Kyle Lafata, Kyle Lafata, Evan Calabrese, John Kirkpatrick, Chunhao Wang

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The Use of Machine Learning to Support the Diagnosis of Oral Alterations by Rosana Leal do Prado, Juliane Avansini Marsicano, Amanda Keren Frois, Jacques Duílio Brancher

Subjects: “…Deep Learning…”
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Time series forecasting of Valley fever infection in Maricopa County, AZ using LSTMResearch in context by Xueting Jin, Fangwu Wei, Srinivasa Srivatsav Kandala, Tejas Umesh, Kayleigh Steele, John N. Galgiani, Manfred D. Laubichler

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Clustering and Investigation of Human Driving Behavior Using Autoencoder and Risk Assessment by Donghoon Shin, Jinhee Myoung, Woongsun Jeon, Kang-Moon Park

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Water quality assessment for aquaculture using deep neural network by Rajeshwarrao Arabelli, T. Bernatin, Venkataramana Veeramsetty

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Efficient energy consumption in smart buildings using personalized NILM-based recommender system by Fatemeh Taghvaei, Ramin Safa

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Machine learning-based myocardial infarction bibliometric analysis by Ying Fang, Yuedi Wu, Lijuan Gao

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Development of a Lightweight Model for Rice Plant Counting and Localization Using UAV-Captured RGB Imagery by Haoran Sun, Siqiao Tan, Zhengliang Luo, Yige Yin, Congyin Cao, Kun Zhou, Lei Zhu

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Combining machine learning algorithms for bridging gaps in GRACE and GRACE Follow-On missions using ERA5-Land reanalysis by Jaydeo K. Dharpure, Ian M. Howat, Saurabh Kaushik, Bryan G. Mark

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Classifying vocal responses of broilers to environmental stressors via artificial neural network by T. Lev-ron, Y. Yitzhaky, I. Halachmi, S. Druyan

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Context aware machine learning techniques for brain tumor classification and detection – A review by Usman Amjad, Asif Raza, Muhammad Fahad, Doaa Farid, Adnan Akhunzada, Muhammad Abubakar, Hira Beenish

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Wireless real-time monitoring based on triboelectric nanogenerator with artificial intelligence by Dexin Tang, Yuankai Zhou, Xin Cui, Yan Zhang

Subjects: “…Deep learning…”
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Digital pathology and artificial intelligence in renal cell carcinoma focusing on feature extraction: a literature review by Ming-Yue Li, Yu Pan, Yang Lv, He Ma, Ping-Li Sun, Hong-Wen Gao

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