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

“…Methods: This study utilized a comprehensive dataset encompassing confirmed COVID-19 cases, demographic statistics, and socioeconomic indicators. …”
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AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

“…Methods: This study utilized a comprehensive dataset encompassing confirmed COVID-19 cases, demographic statistics, and socioeconomic indicators. …”
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Potential utilisation of solar-assisted kiln dryer in bamboo drying by Zafhian, Zahidah, Muhammad Roseley, Adlin Sabrina, Shing, Sik Huei, Beng, Ong Chee, Rabidin, Zairul Amin

“…The most common drying method for bamboo is through air-drying. Alternatively, artificial drying, such as solar drying, can produce optimum drying results regarding the drying rate and quality of bamboo throughput. …”
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Fabrication of crosslinked spray dried alginate microparticles for encapsulation of bioactives by Lim, Yu Lin

“…In this study, crosslinked calcium alginate microparticles were successfully fabricated using a novel one-step spray drying method. The one step fabrication eliminates the need for multiple crosslinking and drying steps, as in traditional calcium alginate microparticles production. …”
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Entanglement in smart hydrogels: fast response time, anti-freezing and anti-drying by Feng, Yuqin, Wang, Shancheng, Li, Yaqin, Ma, Wenxia, Zhang, Gang, Yang, Ming, Li, Haibo, Yang, Yongsheng, Long, Yi

“…Different from the conventional methods which hinder the movement of the polymer network, through entanglement with HPC fibers, the composite hydrogel shows both improved Young's modulus and toughness and more importantly improved smart functionalities including response speed, anti-drying, and anti-freezing capabilities and cycle stability. …”
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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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Seaweed processing: Efficiency, kinetics, and quality attributes under solar drying by Khan, Nida, Sudhakar, Kumarasamy, Rizalman, Mamat

“…Traditional open sun drying methods face issues such as weather dependence, contamination risk, inconsistent drying rates, and nutrient loss. …”
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RGB imaging for monitoring quality parameters of sweet potato during drying by Onwude, D.I., Hashim, N., Abdan, K., Janius, R., Che Adan, S.N., Jalaluddin, A.

“…Similarly, reference properties of moisture content and color coordinates were measured after every 1 h under the same drying conditions using conventional methods. It was observed that there were strong correlations between the RGB parameters and the measured quality properties. …”

Recent advances of optical imaging in the drying process of grains – a review by Jimoh, Kabiru Ayobami, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Jahari, Mahirah

“…The rapid advancement in measurement methods has led to the use of a variety of optical-based techniques for monitoring grain throughout the drying process since they are non-destructive and highly effective. …”