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"tapping" » "capping" (Expand Search), "stopping" (Expand Search), "flapping" (Expand Search)
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"tapping" » "capping" (Expand Search), "stopping" (Expand Search), "flapping" (Expand Search)
"stepping" » "shipping" (Expand Search), "shopping" (Expand Search)
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161
A web system for map-matching trajectories on road networks
Published 2022“…This process is known as map-matching. Map-matching the GPS data points allows them to provide more value and insights for further analysis. …”
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Final Year Project (FYP) -
162
Controllable robot arm with integrated 3D mapping capability
Published 2023Get full text
Final Year Project (FYP) -
163
Mapping miRNA research in schizophrenia: a scientometric review
Published 2023Get full text
Journal Article -
164
Mapping illocutionary speech in human interaction to human-machine interaction
Published 2011Get full text
Final Year Project (FYP) -
165
Building 'Tilesy' : a lean tile map editor in unity
Published 2017“…This report details the research, design, and implementation of Tilesy, a visual tile map editor that facilitates the production of simple but usable tile maps that can be imported and translated into functional game maps by an already existing game editor, ‘Game Editor’. …”
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Final Year Project (FYP) -
166
Cross-speaker viseme mapping using hidden Markov models
Published 2009“…In this paper, a method of mapping visual speech between different speakers is proposed. …”
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Conference Paper -
167
Host genetics maps to behaviour and brain structure in developmental mice
Published 2025Journal article -
168
Genotype-phenotype maps for gene networks: from evolution to computation
Published 2017“…<p>One of the most fundamental and least understood elements of evolution is the mapping between genotype and phenotype. Recent work on genotype-phenotype (GP) maps suggests that these maps show properties which may have important evolutionary implications. …”
Thesis -
169
Modeling and predicting the beam properties from grating structures using deep neural network
Published 2024Subjects: Get full text
Conference Paper -
170
Combining detection dogs and camera traps improves minimally-invasive population monitoring for the cheetah, an elusive and rare large carnivore
Published 2025“…The detection probability (p) of cheetahs with one camera trap station per sampling unit placed at roads was low (p = 0.167), but increased for camera traps placed at marking sites that were identified through the detection dog survey (p = 0.244), and in particular when multiple camera trap stations were placed per sampling unit and detections were pooled across stations (p = 0.348 - 0.750). …”
Journal article -
171
Hollow-core photonic crystal fiber based multifunctional optical system for trapping, position sensing, and detection of fluorescent particles
Published 2013“…This multifunctional optical system for trapping, position sensing, and fluorescent detection is designed such that a near-IR laser light is used to create an optical trap across a liquid-filled HC-PCF, and a 473 nm laser is employed as a source for fluorescence excitation. …”
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Journal Article -
172
First cycle voltage hysteresis in Li-rich 3d cathodes associated with molecular O2 trapped in the bulk
Published 2020“…The implication is that O2, trapped in the bulk and lost from the surface, can explain O-redox.…”
Journal article -
173
Enabling conditions for conservation on indigenous and community lands: a systematic map
Published 2025“…</p> <br> <p>Priorities for future systematic reviews include in-depth examinations of the linkages identified in this map, and the quality of evidence that exists. Understanding how Indigenous Peoples and local communities can best be supported is a critical step in promoting rights-based approaches, as set out in the post-2020 Global Biodiversity Framework.…”
Journal article -
174
PlaneSDF-Based Change Detection for Long-Term Dense Mapping
Published 2024“…Given point clouds of the source and target scenes, we propose a three-step PlaneSDF-based change detection approach: (1) PlaneSDF volumes are instantiated within each scene and registered across scenes using plane poses; 2D height maps and object maps are extracted per volume via height projection and connected component analysis. (2) Height maps are compared and intersected with the object map to produce a 2D change location mask for changed object candidates in the source scene. (3) 3D geometric validation is performed using SDF-derived features per object candidate for change mask refinement. …”
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