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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
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random but can only happen along particular directions. However, as the material is made up of many crystals, and they all have different orientations, the deformation process of a polycrystalline material
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. Key Responsibilities: Conduct electrochemical sensor testing, integration, and prototype development Process sensor signals and convert readings into protein levels Design PCB boards and integrate
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This project aims to develop robust algorithms capable of identifying and analyzing fingerprints extracted from both static images and video footage. Machine learning techniques, particularly
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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from standard camera imagery. Such spatial computing applications represent the most significant paradigm shift in human-computer interaction (HCI) since the introduction of graphical user interfaces
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the thermal counterparts, as well as explain the process of thermal-to-visible image translation. Required knowledge The idea candidate should have strong skills in both mathematics and programming. Some
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images