Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- University of Nottingham
- ; University of Leeds
- ; Manchester Metropolitan University
- ; Newcastle University
- ; University of Birmingham
- ; University of Nottingham
- ; University of Surrey
- ; University of Warwick
- ; Anglia Ruskin University
- ; Aston University
- ; Cranfield University
- ; UWE, Bristol
- ; University of Bristol
- ; University of East Anglia
- ; University of Essex
- ; University of Southampton
- ; University of York
- Newcastle University
- 11 more »
- « less
-
Field
-
advanced algorithms that align, merge, and aggregate datasets while maintaining data fidelity, the project contributes to the CAMS goal of enabling precise, accurate, and actionable analytical insights
-
and misalignment, facilitating the development and validation of diagnostic and prognostic algorithms. Electronic Prognostics Systems: Facilities equipped to assess the health and predict the remaining
-
is to develop a highly innovative ‘Lab on a Bench (LoB)’ setup, integrated with Machine Learning algorithm, as a high throughput method for screening and developing formulated products that are used in
-
technologies? How can true emotions be detected when individuals conceal them? How to integrate multimodal emotion understanding algorithms on a robot? Funding The student will be in receipt of a stipend payment
-
from motion blur, defocus, and imaging artefacts, which hinder accurate diagnosis. This project aims to restore image clarity by designing intelligent algorithms that recover fine anatomical details
-
mapping using a team of highly mobile legged or legged-wheeled robotic platforms. The research will investigate advanced algorithms for multi-robot coordination, dynamic path optimization, and collaborative
-
autonomous by embedding machine learning algorithms to search through different reaction parameters Person Specification Candidates should have been awarded, or expect to achieve, EITHER: A Bachelors degree in
-
approach could resolve this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat
-
electronic converters are required to connect renewable energy sources and energy storage systems to the power network. These converters employ sophisticated control algorithms that must simultaneously achieve
-
prototype/demonstrator of a low-cost smart sensor. To develop an efficient algorithm to process the vibration signals locally and to develop the firmware to be embedded within the sensor node. To validate