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121
Developing a novel approach to map signals required for GalNAcT2 relocation.
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Final Year Project (FYP) -
122
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123
Semantic-based mobile robot 3D mapping using deep learning algorithm
Published 2019“…This final year project is focused on studying 3D semantic mapping part of semantic SLAM, based on this, to build a robust 3D semantic SLAM system in future.…”
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Final Year Project (FYP) -
124
G-Portal : a map-based digital library for distributed geospatial and georeferenced resources
Published 2011“…In this paper, we present the design and implementation of G-Portal, a web portal that aims to provide digital library services over geospatial and georeferenced content found on the World Wide Web. G-Portal adopts a map-based user interface to visualize and manipulate the distributed geospatial and georeferenced content. …”
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Conference Paper -
125
The unexpected politics of ILGA-Europe’s rainbow maps: (de)constructing queer utopias/dystopias
Published 2025“…Recently, we have seen a proliferation of maps visualising the global state of Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, plus (LGBTQI+) rights. …”
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Article -
126
NeuralFloors++: consistent street-level scene generation from BEV semantic maps
Published 2024“…We employ a two-stage process: first, a 3D scene representation is extracted from BEV semantic, instance and style maps using a neural field. After rendering the semantic, instance, depth and style maps from a ground-view perspective, a second stage based on a diffusion model is used to generate the photo-realistic scene. …”
Conference item -
127
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128
A comparison of lesion mapping analyses based on CT versus MR imaging in stroke
Published 2023“…The resulting thresholded z-maps were compared between matched CT- and MRI-based analyses. …”
Journal article -
129
Undergraduates' attitudes of writing and views towards mind-mapping as a pre-writing strategy
Published 2024“…Mind maps that are applied as a pre-writing activity are said to enhance the content and organization of written outputs (Sebit & Yildiz, 2020).…”
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Article -
130
Mycobacterium avium subspecies paratuberculosis (map) infection in dairy catlle in Taman Pertanian Universiti
Published 2016“…MAP infection or also known as Johne's disease is viewed as one of the most serious and chronic bacterial diseases among ruminants that will indirectly cause economic losses to the farmers This study was conducted to determine the presence of MAP organisms in fecal and antibodies in the serum samples. …”
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Project Paper Report -
131
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132
Electrical substations mapping for possible communication technologies using QGIs and Google Earth Pro
Published 2024“…The visualization of mapping has aided researchers in gaining a better understanding and studying a specific area in a variety of professions. …”
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Article -
133
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135
Multi-bounce Returns for Specular Surface Mapping from Consumer-grade Flash LiDAR
Published 2024“…As mirror and glass are everywhere, vision systems failing to detect specular surface can be detrimental. Applications like mapping may become inaccurate, and more critically, robots could crash into undetected windows during navigation, leading to potentially fatal outcomes. …”
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Thesis -
136
Online map-matching based on Hidden Markov model for real-time traffic sensing applications
Published 2013“…In many Intelligent Transportation System (ITS) applications that crowd-source data from probe vehicles, a crucial step is to accurately map the GPS trajectories to the road network in real time. …”
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Conference Paper -
137
A scientometric review of alexithymia : mapping thematic and disciplinary shifts in half a century of research
Published 2021Get full text
Journal Article -
138
Performance risk assessment in public–private partnership projects based on adaptive fuzzy cognitive map
Published 2022Subjects: Get full text
Journal Article -
139
Unsupervised domain adaptation for depth completion from sparse LiDAR scans depth map
Published 2022“…Depth completion aims to predict the distance between objects on an image and the camera capturing the image from a LiDAR scans depth input, and the distance is expressed as a dense depth map. Denser scans depth input leads to better prediction, while the cost of the corresponding LiDAR equipment will be more expensive, and the model trained by dense depth input performs badly on sparse depth input. …”
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Thesis-Master by Coursework -
140
Visualizing vein patterns from color skin images based on image mapping for forensics analysis
Published 2013“…In this paper, we propose an algorithm based on image mapping to visualize vein patterns. It extracts information from a pair of synchronized color and near infrared (NIR) images, and uses a neural network (NN) to map RGB values to NIR intensities. …”
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Conference Paper