Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Conservation management needs reliable information about how many animals a population holds and whether that number is changing over time. Yet for most threatened species such estimates are often
-
explored through touch. The RTD is the blind person's equivalent of the computer visual display. The second is genAI-powered conversational agents. These enable the blind user to control the RTD and obtain
-
conditions that differ from its training data. A robot operating in the real world therefore needs more than an accurate model: it needs to recognise when information is unreliable and decide how much
-
machine learning techniques, the model processes visual data to recognize distinct architectural features, signage, and contextual cues associated with each landmark type. It enhances location-based
-
visual and plain language content that accurately translates complex health and research information for non-specialist audiences Coordinating internal and external communications activities, including
-
This project focuses on developing a gait detection system leveraging computer vision techniques to recognize individuals in security footage, even when their faces and skin are obscured. Criminals
-
and videos for symbols, gestures, or contextual clues associated with radical groups or criminal activities. Multimodal approaches that integrate text, audio, and visual data enhance the detection
-
AI PhD Scholarship - Opportunity: Foundation Models for Brain Data Job No.: 696618 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up to 3.5 years
-
how online social media data can be used to infer a person’s personality, emotions, beliefs, vulnerabilities, interests, habits, and persuasion triggers. The project focuses on designing AI-based
-
Skip to main content Main Menu - Primary Home Projects Supervisors Contact Immersive Visualization of Protein Structures in Food Science Using VR/AR Primary supervisor Wai Peng Wong Research area