Sustainable oil palm resource assessment based on an enhanced deep learning method by Liu, Xinni, Kamarul Hawari, Ghazali, Shah, Akeel A.

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Recent Progress of Deep Learning Methods for Health Monitoring of Lithium-Ion Batteries by Madani, Seyed Saeed, Ziebert, Carlos, Vahdatkhah, Parisa, Sadrnezhaad, Sayed Khatiboleslam

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Predicting the work function of 2D MXenes using machine-learning methods by Roy, Pranav, Rekhi, Lavie, Koh, See Wee, Li, Hong, Choksi, Tej S.

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Deep learning methods for genome-based prediction of drug resistance in Mycobacterium tuberculosis by Wang, C

“…In this doctoral thesis, which is based on the CRyPTIC datasets, we explore and develop a variety of machine learning and deep learning methods. Our research includes the application of binary classifiers for predicting MTB resistance labels, the employment of multi-class classification and ordinal regression techniques for predicting minimum inhibitory concentrations of MTB, and the implementation of calibration models to improve the uncertainty estimation in our predictions.…”

MCI-frcnn: a deep learning method for topological micro-domain boundary detection by Tian, Simon Zhongyuan, Yin, Pengfei, Jing, Kai, Yang, Yang, Xu, Yewen, Huang, Guangyu, Ning, Duo, Fullwood, Melissa Jane, Zheng, Meizhen

“…In all, the MCI-frcnn deep learning method which we developed in this work is a general tool for micro-domain boundary detection.…”
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Multimodal fusion for navigation of autonomous mobile robots using a deep learning method by Lee, Anthony Wen Hao

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Academic achievement inspired machine learning methods for student grade prediction and at-risk detection by Wei, Qiu

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A joint learning method with consistency-aware for low-resolution facial expression recognition by Xie, Yuanlun, Tian, Wenhong, Song, Liang, Xue, Ruini, Zha, Zhiyuan, Wen, Bihan

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Morphological learning in spiking neurons: a new hardware efficient maching learning method by Jahagirdar, Kavya

“…‘Morphological Learning in Spiking Neurons: A New Hardware Efficient Machine Learning Method’ explores the greater performance of spiking neurons with lumped non-linearity than their counterparts with linear synaptic summation of signals. …”
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How to learn Chinese characters? Exploring the effectiveness of different learning methods in young Singaporean children by Toh, Wendy Hwee Bin

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Healthy lithium nickel manganese cobalt oxide (NMC) battery using machine-learning method by Wu, Xumin

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A supervised two-channel learning method for hidden Markov model and application on lip reading by Foo, Say Wei, Dong, Liang

“…In this paper, a novel two-channel learning method for hidden Markov model (HMM) is proposed. …”
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Robust deep learning methods for accountable contrast-agent-free CMR imaging in clinical applications by Gonzales, RA

AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

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AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

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A soft actor-critic deep reinforcement learning method for multi-timescale coordinated operation of microgrids by Hu, Chunchao, Cai, Zexiang, Zhang, Yanxu, Yan, Rudai, Cai, Yu, Cen, Bowei

“…The first stage is formulated as a non-convex deterministic optimization problem, while the second stage is modeled as a Markov decision process solved by an entropy-regularized deep reinforcement learning method, i.e., the Soft Actor-Critic. The Soft Actor-Critic method can efficiently address the exploration–exploitation dilemma and suppress variations. …”
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Hybrid machine learning method to determine the optimal operating process window in aerosol jet 3D printing by Zhang, Haining, Moon, Seung Ki, Ngo, Teck Hui

“…In this paper, a novel hybrid machine learning method is proposed to determine the optimal operating process window for the AJP process in various design spaces. …”
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An integrated intelligent system for breast cancer detection at early stages using IR images and machine learning methods with explainability by Aidossov, Nurduman, Zarikas, Vasilios, Zhao, Yong, Mashekova, Aigerim, Ng, Eddie Yin Kwee, Mukhmetov, Olzhas, Mirasbekov, Yerken, Omirbayev, Aldiyar

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Comparing the effectiveness of online and face-to-face teaching and learning methods in an engineering course during and after the COVID-19 pandemic by Diana Che Lat, Doris Asmani Mat Yusof, Nurul Ainain Mohd Salim, Roslizayati Razali

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Machine Learning Method for Forecasting Weather Needed For Crop Water Demand Estimations in Low-Resource Settings Using A Case Study in Morocco by Sheline, Carolyn, Winter, Amos

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