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.…”

E-Module in TVET: unveiling brazing and riveting methods through VAK learning by Hashim, Suhaizal, Mohamad Ali, Nur Alianni, Masran, Saiful Hadi

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Robust deep learning methods for accountable contrast-agent-free CMR imaging in clinical applications by Gonzales, RA

“…</p> <br> <p>The first goal of this thesis is to provide motion-corrected T1 maps by developing a deep learning-based method for correcting motion artefacts. …”

A special section on methods and application in biomedical imaging – part 1 by Deniz, Luis Gomez, Ng, Eddie Yin Kwee

“…This special section on Methods and Application in Biomedical Imaging presents the ongoing and active research in the Biomedical Imaging area, with emphasis on machine learning and image processing state-of-the art techniques. …”
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Audio-based approaches in tuning retrieval of gamelan ensemble by Hamdan, Sinin

“…As a result, it proved that these primitive methods may provide tuning to the gamelan set. Field trips to the Jogjakarta gamelan builders reveal that the gamelan tuner solely tuned the gamelan based on hearing, which is passed down from generation to generation. …”
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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

“…Many studies have been done to explore new approaches such as using advanced sensor technologies and machine learning algorithms, which aims to improve the accuracy and efficiency of these collision-avoidance methods for robots. …”
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Academic achievement inspired machine learning methods for student grade prediction and at-risk detection by Wei, Qiu

“…Grade prediction is one of the several sub-disciplines among learning analytics transcends and has received increasing attention in recent years and remains one of the most challenging tasks. …”
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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

“…Existing facial expression recognition (FER) methods are mainly devoted to learning discriminative features from high-resolution images. …”
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Investigating Fine-Tuning of Language Models for Multiple-Choice Questions by Wang, Ivy A.

“…In our experiments, we scaled and balanced our fine-tuning datasets and learned that both processes improve the accuracy on test sets of MCQs.…”
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Norm augmented reindorcement learning framework based on extended dynamic deontic model and deliberation methods / by Mohd. Rashdan Abdul Kadir, 1986-, author 502771, Ali Selamat, supervisor 389865, Fakulti Komputeran 538688

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

“…While machine-learning-based method has good accuracy in estimation of battery health management. …”
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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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Automatic hyperparameter tuning of topology optimization algorithms using surrogate optimization by Ha, Dat, Carstensen, Josephine

“…The new method draws inspiration from hyperparameter optimization in machine learning. …”
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Efficiency of tuned liquid dampers in mitigating vibrations of structures with mass eccentricity by Teh, Kun Jie, Vafaei, Mohammadreza, Alih, Sophia C., Shad, Hossein

“…Background: Tuned liquid dampers (TLDs) have been successfully installed on different types of structures for vibration mitigation against wind or earthquake forces. …”

Dynamic properties of structures integrated with tuned liquid sloshing dampers analyses by Gospel, Jessica Vania

“…Log decrement cycle counting emerges as a method for estimating damping ratios in vibrating systems, particularly useful for damped sinusoidal signals. …”
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Effects of cultural diversity on learning styles and performance development methods : a study of business professionals in Singapore. by Nur Syahirah Basheer., Nurashikin Asan., Poh, Ai Ni.

“…The main objectives of this research are to identify the nature of effects existing: (a) among sub-cultural groups and managers’ learning styles; (b) among sub-cultural groups and their performance development methods; (c) in the nature of the relationship between learning styles and performance development methods. …”
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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

“…This paper develops a multi-timescale coordinated operation method for microgrids based on modern deep reinforcement learning. …”
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