A Stock Prediction Method Based on Deep Reinforcement Learning and Sentiment Analysis by Sha Du, Hailong Shen

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An Observation and Analysis the role of Convolutional Neural Network towards Lung Cancer Prediction by Suranjana Mitra, Annwesha Banerjee Majumder, Tanusree Saha

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Comparisons of Machine Learning Methods in Ship Speed Prediction Based on Shipboard Observation by Weidong Gan, Dianguang Ma, Yu Duan

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Augmenting Fatigue Datasets for Improved Multiaxial Fatigue Strength Prediction with Neural Networks by Napon Opasanon, Leon Josef Stahr, Lukas Suchy, Alexander Hasse

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Predicting interval from diagnosis to delivery in preeclampsia using electronic health records by Xiaotong Yang, Hailey K. Ballard, Aditya D. Mahadevan, Ke Xu, David G. Garmire, Elizabeth S. Langen, Dominick J. Lemas, Lana X. Garmire

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Dynamic graph convolutional networks with Temporal representation learning for traffic flow prediction by Aihua Zhang

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Machine learning enabled accurate prediction of structural and magnetic properties of cobalt ferrite by Ying Fang, Suraj Mullurkara, Keith M. Taddei, Paul R. Ohodnicki, Guofeng Wang

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Power Prediction in Photovoltaic Systems with Neural Networks: A Multi-Parameter Approach by Zeynep Bala Duranay, Hanifi Guldemir

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Multitrait genome-wide association best linear unbiased prediction of genetic values by Theo Meuwissen, Vinzent Boerner

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Prediction of PM2.5 via precursor method using meteorological parameters by Naeem Sadiq, Zaheer Uddin

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Prediction of cardiac remodeling and myocardial fibrosis in athletes based on IVIM-DWI images by Yujiao Deng, Min Tang, Qian Liu, Xinrong Fan, Jian Shu, Jing Chen, Meining Chen, Lu Yang

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Towards prediction of pseudo-normal SPECT image data using variational autoencoder by Katerina Dudasova, Jiri Trnka

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Risk factors and bone mineral density in predicting the risk of fracture in postmenopausal women by O. A. Nikitinskaya, N. V. Toroptsova, N. V. Demin

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Checkpoint data-driven GCN-GRU vehicle trajectory and traffic flow prediction by Deyong Guan, Na Ren, Ke Wang, Qi Wang, Hualong Zhang

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A deep learning approach to predict differentiation outcomes in hypothalamic-pituitary organoids by Tomoyoshi Asano, Hidetaka Suga, Hirohiko Niioka, Hiroshi Yukawa, Mayu Sakakibara, Shiori Taga, Mika Soen, Tsutomu Miwata, Hiroo Sasaki, Tomomi Seki, Saki Hasegawa, Sou Murakami, Masatoshi Abe, Yoshinori Yasuda, Takashi Miyata, Tomoko Kobayashi, Mariko Sugiyama, Takeshi Onoue, Daisuke Hagiwara, Shintaro Iwama, Yoshinobu Baba, Hiroshi Arima

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Development of BK polyomavirus-associated nephropathy risk prediction in kidney transplant recipients by Junji Yamauchi, Katalin Fornadi, Divya Raghavan, Duha Jweehan, Suayp Oygen, Silviana Marineci, Michelle Buff, Michael Fenlon, Motaz Selim, Michael Zimmerman, Miklos Z. Molnar

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Durable resistance to crop pathogens: an epidemiological framework to predict risk under uncertainty. by Giovanni Lo Iacono, Frank van den Bosch, Chris A Gilligan

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Prediction of elastic modulus, yield strength, and tensile strength in biocompatible titanium alloys by Marković G., Ružić J., Sokić M., Milojkov D., Manojlović V.D.

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Interpretable Machine Learning for Explaining and Predicting Collapse Hazards in the Changbai Mountain Region by Xiangyang He, Qiuling Lang, Jiquan Zhang, Yichen Zhang, Qingze Jin, Jinyuan Xu

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Prediction of the sound absorption performance for micro-perforated panel based on machine learning by Binxia Yuan, Tianqi You, Huanhuan Jiang, Hong Qian, Lan Cao, Rui Zhu

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