Study on the wear characteristics of aluminium metal matrix composite with 15% Al2O3 and 20% Al2O3 by Chua, Swu Chun.

“…The objective of this dissertation was to study the wear characteristics and behaviour of aluminium metal matrix composite materials (MMCs), namely Duralcan 286 and Duralcan 284 as a pin material when mated against three types of dics materials.…”
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Design of an exoskeleton for lifting by Lim, Ernest Zhen Xuan

“…Lower back injuries, caused by muscle strain around the lumber spine, are common in work involving manual labour. …”
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Automated multisensor polyhedral model acquisition by Ortin, D, Montiel, JMM, Zisserman, A

“…Mapping techniques applied to 2D laser scans simultaneously compute a map and the location of the sensor in the unknown environment. …”

Experimental and numerical investigations of hot-rolled stainless steel channel section columns susceptible to flexural buckling by Li, Shuai, Zhang, Lulu, Liang, Yating, Zhao, Ou

“…A thorough testing and numerical modelling programme has been conducted to investigate the minor-axis flexural buckling behaviour and resistances of pin-ended hot-rolled stainless steel channel section columns. …”
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Wearable bio-adhesive metal detector array (BioMDA) for spinal implants

“…Accordingly, herein, we report on the development and engineering of a bio-adhesive metal detector array (BioMDA), a potential wearable solution for real-time, non-invasive positional analyses of osseous implants within the spine. The electromagnetic coupling mechanism and intimate interfacial adhesion enable the precise sensing of the metallic implants position without the use of radiation. …”
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Deep learning approach to cervical segmentation from routine CT images by Duan, Yiming

“…To address the sequential and location-dependent nature of bone segmen tation information, the dissertation proposes a pre-training model for location information, and combines 2.5D image input and labeled multi-channel coding to semantically segment 3D cervical spine CT images. This method can accu rately extract the information of bone joint location of slices and incorporate it into image features in the form of channels, which can improve the accuracy of multiple bone joint segmentation and classification. …”
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Measuring membrane capacitance during a depolarizing stimulus by Chen, Peng., Gillis, Kevin., Xue, Renhao., Pui, Tze Sian.

“…It is critical to resolve the highly dynamic kinetic steps along the molecular cascade of exocytosis in order to pin down the specific actions of regulatory molecules and eventually decipher this complex and fundamental process.…”
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You Are the Placebo : Making Your Mind Matter / by Dispenza, Joe, author 656175, Hay House (Online service) 656169

“…Then he shares scientific evidence (including color brain scans) of amazing healings from his workshops, in which participants learn his model of personal transformation, based on practical applications of the so-called placebo effect. …”
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Hybrid UNet transformer architecture for ischemic stoke segmentation with MRI and CT datasets by Soh, Wei Kwek, Rajapakse, Jagath Chandana

“…A hybrid UNet and Transformer (HUT) network is introduced to combine the merits of the UNet and Transformer architectures, improving brain lesion segmentation from MRI and CT scans. The HUT overcomes the limitations of conventional approaches by utilizing two parallel stages: one based on UNet and the other on Transformers. …”
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Identifying independent sub-networks of functional connectome of the brain by Chan, Jin Hao

“…Aside from every day activities however, the brain is also active when it is in a resting state, which is when the human is not performing any task-related activities. By using FMRI scans, we are able to observe the Blood Oxygenation Level Dependent (BOLD) signals within the resting brain and derive patterns from it. …”
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A Qucs/QucsStudio swept parameter technique for statistical circuit simulation by Brinson, Mike

“…Qucs and QucsStudio open source circuit simulators have a wealth of built in swept data features, including facilities for linear and logarithmic scans of simulation variables and for setting component values and device parameters. …”
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Structural behaviour of 2D post-tensioned precast beam-column sub-assemblages subjected to column loss scenario by Tran, Manh Ha, Tan, Kang Hai

“…The test results indicated that both unbonded and bonded parabolic-shaped PT significantly enhanced compressive arch action (CAA) and catenary action (CA) beyond basic flexural capacity, and also changed the plastic hinge mechanism in the precast beams. The specimen with unbonded PT could provide greater residual capacity than bonded PT, but the former was severely damaged by fracture of normal reinforcement and crushing of concrete rather than fracture of the tendon. …”
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Cross-Modal Deep Variational Hashing by Liong, Venice Erin, Lu, Jiwen, Zhou, Jie, Tan, Yap Peng

“…Unlike most existing cross-modal hashing methods which learn a single pair of projections to map each example into a binary vector, we design a deep fusion neural network to learn non-linear transformations from image-text input pairs, such that a unified binary code is achieved in a discrete and discriminative manner using a classification-based hinge-loss criterion. We then design modality-specific neural networks in a probabilistic manner such that we model a latent variable to be close as possible from the inferred binary codes, at the same time approximated by a posterior distribution regularized by a known prior, which is suitable for out-of-sample extension. …”
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Indoor localization using Wi-Fi by Siswanto, Hadi

“…All models are evaluated using data collected from several reference points on block N4, North Spine, Nanyang Technological University. A simple Android application is developed to assist data collection. …”
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Development of a counter-UAV system by Tang, Wen Yue

“…Upon testing, the firing pin mechanism was found to be unable to reliably puncture the CO2 canister, even after improvements. …”
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Maximizing dissimilarity in resting state detects heterogeneous subtypes in healthy population associated with high substance use and problems in antisocial personality by Kashyap, Rajan, Bhattacharjee, Sagarika, Yeo, Thomas B. T., Chen, Annabel Shen-Hsing

“…In this aspect, multiple rs-fMRI scans from single subjects can provide interesting clues about the rs-fMRI patterns, though scan-to-scan variability pose challenges. …”
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Lessons from a retrospective look at India’s upstream sector by Elango, P

Collision avoidance for automated guided vehicles using deep reinforcement learning by Qin, Yifan

“…As the first step towards a decentralized multi-robot collision avoidance system, this project aims to implement Deep Reinforcement Learning in the collision avoidance simulation of a single robot. The robot scans the environment around it and is supposed to find its way in a pre- designed map with multiple obstacles and branches. …”
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Plastic heat sink by Tan, Cornelius Ming Han.

“…The performances of plastic heat sinks are also determined by thermal imaging heat scans and evaluation of performance of light emitting diode when mounted on the plastic heat sinks. …”
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For your own good : a historical study on social control and the normalisation of state surveillance in Singapore, 1990-2015 by Muhammad Hydar Saharudin

“…To explore this argument, this essay examines 1) the state-sanctioned secret computer scans of 1994 and 1999; and 2) the PAP-government’s expanding use of CCTV surveillance to address criminal, terrorist, and anti-social behaviours. …”
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