Development of electromagnetic induction application and analysis by Lu, L Seng

“…The utility is exemplified by moving a train through solenoid. The experiment was set up for demonstration in conjunction with measurements via use of different types of devices. …”
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Regional seismic risk of railway system including derailment consequences by Uchiyama, Yayoi Misu

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Use of mobile phone data for determining multimodal traffic by Prawirodidjojo, Eric Valega

“…This project incorporates data from the aggregated mobile phone tracking data as well as train station data to understand how people travel to and from La Défense using the public train services. …”
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Predicting the carbon dioxide emissions using machine learning by Geevaretnam, Jothi Letchumy, Megat Mohd. Zainuddin, Norziha, Kamaruddin, Norshaliza, Rusli, Hazlifah, Maarop, Nurazean, Wan Hassan, Wan Azlan

“…The dataset is split into a train-test (estimation-validation) set with 80% train set and 20% test set (80:20) proportion. …”
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Deep Learning MRI-based Model for Prediction of Clinically Significant Prostate Cancer by Yang, Janice

“…We hypothesize that we can train a deep learning model that combines multi-parametric MRI images with clinical factors to accurately predict patient risk of developing clinically significant prostate cancer. …”
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Interpreting learned feedback patterns in large language models by Marks, L, Abdullah, A, Neo, C, Arike, R, Krueger, D, Torr, P, Barez, F

“…Reinforcement learning from human feedback (RLHF) is widely used to train large language models (LLMs). However, it is unclear whether LLMs accurately learn the underlying preferences in human feedback data. …”

Factors influencing intent-oriented behaviour of transport-energy saving measures among personnel of Dewan Bandaraya Kuala Lumpur by Chan, Shiau Cin

“…The factors investigated were perceived quality of train service, attitude towards energy conservation, perceived efficacy, knowledge of causes and impacts of climate change, and personal norm. …”
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Memento by Lim, Benjamin Yong Quan

“…Sending the message that life, just like a train journeying through various stations, moves forward through different emotions.  …”
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Layer-wise learning framework for deep networks by Yu, Haoyao

“…The aim of this dissertation is to use the stochastic gradient descent method, but hierarchically, to train deep residual neural networks for better understanding. …”
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Deep learning for object detection and image segmentation by Tan, Yan Hwa

“…In the proposed approach, we segmented and labelled multiple perspective of a view using a convolutional neural network. A large amount of training data is required to train a deep neural network for segmentation. …”
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Control strategies to alleviate dynamic loads of wind turbine system by Chua, Liza Wan Yuan.

“…The effects of poles placement on the damping of first drive-train torsional mode, as well as influence of Integral action on different linearization output are discussed. …”
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Object recognition using deep learning features by Zhu, Daiqing

“…After that, we search our pre-trained database to get nearest region features. Those pre-trained features are coupled with object labels. …”
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Predicting rifampicin resistance in M. tuberculosis using machine learning informed by protein structural and chemical features by Lynch, C, Adlard, D, Fowler, P

“…</p> <br> <p><strong>Methods:</strong> We built a Test+Train dataset comprising 219 susceptible mutations. …”

Cavity-assisted modulation instability lasing of a fiber ring laser by Shao, G. D., Hu, Xiaolei, Guo, J., Song, Yu Feng, Zhao, L. M., Shen, D. Y., Tang, D. Y.

“…It is shown that even in a fiber laser without any mode-locking element in cavity, if the orientation of the intracavity polarization controller is changed, a CW emission could be suddenly converted into a stable periodic pulse train emission. Moreover, the repetition rate of the pulse train can be adjusted over a wide range from the fundamental cavity repetition frequency to hundreds of GHz by changing the cavity detuning. …”
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Blockchain and FL-based secure architecture for enhanced external Intrusion detection in smart farming by Singh, Sushil Kumar, Kumar, Manish, Khanna, Ashish, Virdee, Bal Singh

“…The integration of Blockchain ensures data authentication and transparent data storage, while FL enables collaborative model training without compromising data privacy. Our architecture employs Ensemble Learning (EL) for the Local Model at the Ensemble Layer to train each Smart Land's data and offers privacy-prevented security. …”
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Health Communication Fundamentals : Planning, Implementation, and Evaluation in Public Health / by Sood, Suruchi, author 656178, Riley, Amy Henderson, author 656179

“…This textbook is designed to address these gaps and serve as a practical resource to train the next generation of health communication practitioners with the tools they need to excel in the public health communication workforce"--…”
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The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search by Verwer, Sicco, Nadeem, Azqa, Hammerschmidt, Christian, Bliek, Laurens, Al-Dujaili, Abdullah, O'Reilly, Una-May

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Meta-reinforcement learning in quantitative trading by Wong, Wei Jie

“…Not only can Meta-RL lead to good generalization performance to a set of similar tasks (Finn, Abbeel, & Levine, 2017) (Nichol, Achiam, & Schulman, 2018), it also reduces the need to train each task from scratch, significantly reducing training time. …”
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Intelligent departure metering assistant tool (IDMAT) for airside congestion management by Ali, Hasnain, Pham, Duc-Thinh, Tran, Thanh-Nam, Alam, Sameer

“…This work casts the DM problem in a markov decision process framework to train a DM policy over simulations generated using historical airport surface movement data. …”
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Virtual patient by Wong, Inge.

“…Standardized Patients have been widely used in hospitals and medical schools to train students. The term “Standardized Patients” refers to the specially trained actors who portray patients with particular health conditions or concerns. …”
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