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

Get full text

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.…”
Get full text

Multimodal fusion for navigation of autonomous mobile robots using a deep learning method by Lee, Anthony Wen Hao

Get full text

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

Get full text

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

Get full text

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. …”
Get full text

How to learn Chinese characters? Exploring the effectiveness of different learning methods in young Singaporean children by Toh, Wendy Hwee Bin

Get full text

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

Get full text

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. …”
Get full text
Get full text

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

Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

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

Get full text

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

Get full text

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

Get full text

Graph representation learning by Zhang, Xinyi

“…Besides different techniques used in graph representation learning, according to the fineness of the objects for embedding, the graph representation learning methods can be mainly divided into node-level, edge-level, and graph-level representation learning methods. …”
Get full text

Descriptor learning using convex optimisation by Simonyan, K, Vedaldi, A, Zisserman, A

“…Both of these problems use large margin discriminative learning methods. The third contribution is a new method of obtaining the positive and negative training data in a weakly supervised manner. …”