Imaging and processing of tree trunk by Hong, Yuan Ming

“…Therefore, further investigations were conducted to better understand the peak time differences between 2D simulation and 3D simulation where the results can help to map the 2D simulations into 3D simulation using machine learning.…”
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Deep visual saliency on stereoscopic images by Nguyen, Anh-Duc, Kim, Jongyoo, Oh, Heeseok, Kim, Haksub, Lin, Weisi, Lee, Sanghoon

“…Our results from thorough experiments confirm that the predicted saliency maps are up to 70% correlated with human gaze patterns, which emphasize the need for the hand-crafted features as input to deep neural networks in S3D saliency detection.…”
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Ultra-low power real-ime object detection based on quantized CNNs by Chew, Jing Wei

“…Using this approach, the proposed model can run at 37.7 FPS on an NVIDIA Jetson Nano with a peak memory footprint of 17.1 MB, while attaining a reasonable mAP@0.50 Intersection over Union (IoU) of 0.37 on the Pascal Visual Object Classes (VOC) dataset. …”
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Multi-view human action recognition in meeting scenarios by Yin, Haixiang

“…The method proposed in this project can improve by up to nearly 10 percent of the mAP (Mean Average Precision) on AMI meeting corpus compared to single-view recognition approaches.…”
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Visual place recognition for autonomous robots using deep learning by Huang, Yifeng

“…In autonomous and unmanned aerial vehicles, visual location recognition helps to detect actual destinations and locations In order to match standard features from different angles of a scene, we propose a global feature matching method, which is separate from the current popular local feature matching method. We build attention maps from two dimensions to refine the calculation methods of residuals in VLAD, channel and spatial, and get better results than the original NetVLAD model. …”
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Mobile robot localization in geometrically symmetric environments by Lyu, Yaozeng

“…In addition, the similar magnetic field single fingerprint information can easily cause mismatches in the magnetic field map, then lead to localization failures. This project will explore and propose novel magnetic field-based localization algorithms for mobile robots to achieve highly robust and precise localization in geometrically symmetric environment.…”
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Thermodynamic properties of Xenon storage system under adsorption condition by Koh, Darren Shi Hao

“…Furthermore, through the entropy and temperature maps analysis, a typical heat storage system can be represented where the charging and discharging of Xenon (Xe) gas is represented by the change of entropy in a closed loop.…”
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Hydrological & hydrodynamic modelling of the Baliem River in Highland Papua, Indonesia by Wee, Khai Zher

“…We first delineated the watersheds for these pour points in ArcMap to characterise their attributes. Thereafter, we generated simulated river discharges at these pour points with meteorological data in the Génie Rural à 4 paramètres Journalier (GR4J) rainfall-runoff hydrological model. …”
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Deep neural network model for hypertension risk level detection using ECG signal by Lau, Kai Yun

“…The deep convolutional network consists of 1D convolution and max pooling layers, which extract feature mappings and perform risk level classifications. It classifies the ECGs into ‘normotensive’ (no risk), ‘hypertension’ (low risk), and ‘hypertension + any recorded event within 12 months of recording’ (high risk). …”
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Autonomy mobile or progressive web app for elderly by Liu, Fenghao

“…These reminders can include important tasks such as scheduling physical examinations, remembering to take medications on time, and even helping with navigating maps. By incorporating these functionalities, the software aims to simplify daily routines for seniors and promote their overall well-being and independence. …”
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Deposition characterisation and process window development for plasma sprayed thermal barrier coatings by Ng, Heong Wah.

“…Generally, process control is to ultimately control the temperature and velocity of particles which impact on the substrate. A process map which indicate the best control location for optimum operation is derived by simulation and experimentation in the paper.…”
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Estimation of traffic flow using sparse camera images from LTA by Ong, Justin Yang Chen.

“…The processed images along with its assigned road condition types are then displayed on the web browser with Google Maps. Three algorithms namely, (1) Manual, (2) Percentile-based and (3) K-nearest neighbours, were used and experimented to find out which algorithm provides the highest accuracy in estimating and assigning the correct road condition type to a test image. …”
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Development of a repair service locator Android application by Jiang, Jessie Jielin

“…Moreover, the application is able to link to another travel application, Google Maps, to get directions. Hence, users can easily get directions to travel to the service center. …”
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Characterizing the spectrum of slip behavior at the Sumatran subduction zone with long-term geodetic records by Tsang, Louisa Lok Hang

“…Our results highlight the need for researchers to treat interseismic fault coupling maps as a snapshot of conditions on the fault that can change with time. …”
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Big data analytics for smart transportation (2) by Chung, Maybelle Huishi

“…The results from the clustering was visualized on a map of Singapore and the travel patterns were identified. …”
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A signal through the noise: accurate determination of hydrogen atom positions in crystal structures and optimisation of Laue neutron diffraction methods by Sackman, GA

“…This has allowed a variety of chemically and crystallographically interesting studies to be performed, specifically:</p> <p>Determining the novel geometry around transition-metal hydride centers, where the signal due to the hydrides can be more confidently distinguished than in an X-ray diffraction experiment; using Laue neutron derived difference Fourier maps to demonstrate that proton disorder can be mistakenly assigned in X-ray derived crystallographic models; performing variable temperature Laue neutron diffraction to identify proton migratory behaviour across short-strong hydrogen bonds; reassigning the space group of a previously reported cobalt(III) coordination complex, in which the lack of inversion symmetry becomes apparent upon accurate determination of the hydrogen atom positions; using Laue neutron diffraction data to more confidently classify systems as co-crystals or salts.…”

Network analysis and data science for finance: from traditional markets to decentralised exchanges by Miori, D

“…By modelling and clustering the interlinkage of concepts discussed within such news, we discover the major narratives of interest over time and map entropy in their state to market dislocations. …”

Numerical investigations of detonation reinitiation and failure modes from Mach reflection by Zhang, S, Lai, S, Tang, S, Yang, L, Qi, F, Fang, X

“…Compared with different detonation modes in our simulations, the results show that D(κ) curve from the ZND model gives a good indication of the detonation reinitiation region in the distribution map of velocity and curvature. The results indicate the current model can accurately determine the wave formation following a Mach reflection of two incident shocks. …”

Quantifying conformational changes in the TCR:pMHC-I binding interface by McMaster, B, Thorpe, CJ, Rossjohn, J, Deane, CM, Koohy, H

“…Results: In support of some case studies, we demonstrate that all complementarity determining region (CDR) loops move to a certain extent but only CDR3α and CDR3β loops modify their shape when binding pMHC-Is. We also map the contacts between TCRs and pMHC-Is, generating a novel fingerprint of TCRs on MHC molecules and show that the CDR3α tends to bind the N-terminus of the peptide and the CDR3β tends to bind the C-terminus of the peptide. …”

On the hidden layer-to-layer topology of the representations of reality realised within neural networks by Gafvert, O, Grindrod, P, Harrington, HA, Higham, CF, Higham, DJ, Yim, KM

“…<p><strong>Purpose: </strong>Consider an information processing algorithm that is designed to process an input data object onto an output data object via a number of successive internal {\it layers} and mappings between them. The possible activation state within each layer can be represented as a cube within Euclidean space of a high dimension (e.g. equal to the number of artificial neurons at that level). …”