All Outputs (16)

Geometry model for marker-based localisation (2020)
Thesis
Bou Said Yssa, A. Geometry model for marker-based localisation. (Thesis). University Of Salford

This work presents a novel approach for position estimation from monocular
vision. It has been shown that vision systems have great capability in reaching precise and accurate measurements and are becoming the state-of-the-art in
navigation. Naviga... Read More about Geometry model for marker-based localisation.

A novel boundary element method for low Reynolds number external flow of biological fluid dynamics (2020)
Thesis
Dang, B. A novel boundary element method for low Reynolds number external flow of biological fluid dynamics. (Thesis). University of Salford

Consider two dimensional low Reynolds number flow past a body. In this thesis, the problems of steady flow past a circular cylinder, steady flow past an elliptical cylinder, and the motion of a generic tail-like body are investigated. The theoretical... Read More about A novel boundary element method for low Reynolds number external flow of biological fluid dynamics.

Machine learning and autonomous system for human gait analysis based on walk speed (2019)
Thesis
Elkurdi, A. Machine learning and autonomous system for human gait analysis based on walk speed. (Thesis). University of Salford

The quality of life and cost of care for elderly people varies dramatically between those living independently and those receiving acute or long-term care, which takes place at home, in residential care or in hospital. The common aim of national heal... Read More about Machine learning and autonomous system for human gait analysis based on walk speed.

Multi-objective reinforcement learning framework for unknown stochastic & uncertain environments (2016)
Thesis
Pinder, J. Multi-objective reinforcement learning framework for unknown stochastic & uncertain environments. (Thesis). University of Salford

This dissertation focuses on the problem of uncertainty handling during learning, by agents dealing in stochastic environments by means of Multi Objective Reinforcement Learning (MORL). Most previous investigations into multi objective reinforcement... Read More about Multi-objective reinforcement learning framework for unknown stochastic & uncertain environments.

The use of prospect theory framework in constrained multi-objective particle swarm optimisation (2012)
Thesis
Bunny, M. The use of prospect theory framework in constrained multi-objective particle swarm optimisation. (Thesis). University of Salford

Many practical problems in the real world nowadays can be formulated as constraint
single or multiple objective optimisation problems with constraints. Particle swarm
optimisation (PSO) is a population-based stochastic algorithm has been shown to b... Read More about The use of prospect theory framework in constrained multi-objective particle swarm optimisation.

A new swarm optimal collective searching behaviour framework using decision-making under risk (2012)
Thesis
Al-Dulaimy, A. A new swarm optimal collective searching behaviour framework using decision-making under risk. (Thesis). University of Salford

Swarm Intelligence (SI) is a recent computational intelligence technique which mimics
and makes use of the collective behaviour of flocks of birds or schools of fish for
solving search and optimization problems. There are several decision-making mo... Read More about A new swarm optimal collective searching behaviour framework using decision-making under risk.

A novel, flexible, multi-functional handling device based on Bernoulli Principle (2010)
Thesis
Sam, R. A novel, flexible, multi-functional handling device based on Bernoulli Principle. (Thesis). Salford : University of Salford

Food handling sector in food industry has increased rapidly over the last years. A higher
production rate together with continuously growing product assortments put new re-
quirements for the food producers such as improving produ... Read More about A novel, flexible, multi-functional handling device based on Bernoulli Principle.

Probabilistic fuzzy logic framework in reinforcement learning for decision making (2010)
Thesis
Hinojosa, W. Probabilistic fuzzy logic framework in reinforcement learning for decision making. (Thesis). Salford : University of Salford

This dissertation focuses on the problem of uncertainty handling during learning
by agents dealing in stochastic environments by means of reinforcement learning.
Most previous investigations in reinforcement learning have proposed algorithms
to... Read More about Probabilistic fuzzy logic framework in reinforcement learning for decision making.

Semantic based indexing technique for optimisation and intelligent document representation : application to structured and unstructured document clustering (2010)
Thesis
Barresi, S. Semantic based indexing technique for optimisation and intelligent document representation : application to structured and unstructured document clustering. (Thesis). Salford : University of Salford

The advances in data collection and the increasing amount of unstructured and unlabeled
text documents have led to the need for better disambiguation and indexing techniques,
which allow for the effective and intelligent organisation of large amoun... Read More about Semantic based indexing technique for optimisation and intelligent document representation : application to structured and unstructured document clustering.

A new methodology for designing a multi-lingual bio-ontology : an application to Arabic-English bio-information retrieval (2010)
Thesis
Alazemi, A. A new methodology for designing a multi-lingual bio-ontology : an application to Arabic-English bio-information retrieval. (Thesis). University of Salford

Ontologies are becoming increasingly important in the biomedical domain since they enable knowledge sharing in a formal, homogeneous and unambiguous way. Furthermore, biological discoveries are being reported at an extremely rapid rate. This new info... Read More about A new methodology for designing a multi-lingual bio-ontology : an application to Arabic-English bio-information retrieval.

A haptic surgical simulator for cataract eye surgery using circular wave model (2010)
Thesis
Abulgasem, E. A haptic surgical simulator for cataract eye surgery using circular wave model. (Thesis). University of Salford

Standard surgical training consists of the acquisition of theoretical knowledge complemented with practical observation during surgery and, at some advanced stage,
performing the surgical procedures on live patients under the supervision of qualifie... Read More about A haptic surgical simulator for cataract eye surgery using circular wave model.

Lower body exoskeleton for walking gait assistance and performance augmentation using compliance controlled actuators (2008)
Thesis
Costa, N. Lower body exoskeleton for walking gait assistance and performance augmentation using compliance controlled actuators. (Thesis). University of Salford

Successful motor rehabilitation after stroke or traumatic brain/spinal cord injures requires a
highly intensive and task-specific therapy-based approach. Currently many patients with these
types of pathologies are confined to wheelchairs, which res... Read More about Lower body exoskeleton for walking gait assistance and performance augmentation using compliance controlled actuators.

Design and implementation of a novel lightweight soft upper limb exoskeleton using pneumatic actuator muscles
Thesis
Irshaidat, M. (in press). Design and implementation of a novel lightweight soft upper limb exoskeleton using pneumatic actuator muscles. (Thesis). University of Salford

Stroke is the leading cause of disability and weakness in the UK and around the world. Thus, stroke patients require an extensive rehabilitation therapy to regain some of the weaknesses. Many rehabilitation robotic devices have been designed and deve... Read More about Design and implementation of a novel lightweight soft upper limb exoskeleton using pneumatic actuator muscles.

Adaptive robust interaction control for low-cost robotic grasping
Thesis
Mahboubi Heydarabad, S. (in press). Adaptive robust interaction control for low-cost robotic grasping. (Thesis). University of Salford

Robotic grasping is a challenging area in the field of robotics. When a gripper starts interacting with an object to perform a grasp, the mechanical properties of the object (stiffness and damping) will play an important role. A gripper which is stab... Read More about Adaptive robust interaction control for low-cost robotic grasping.

Development of a practical electrical tomography system for flexible contact sensing applications
Thesis
Russo, S. (in press). Development of a practical electrical tomography system for flexible contact sensing applications. (Thesis). University of Salford

Tactile sensing is seeing an increase in potential applications, such as in humanoid and industrial robots; health care systems and medical instrumentation; prosthetic devices; and in the context of human-machine interaction. However, these applicati... Read More about Development of a practical electrical tomography system for flexible contact sensing applications.

Prognostics and health management for multi-component systems
Thesis
Assaf, R. (in press). Prognostics and health management for multi-component systems. (Thesis). University of Salford

The ever increasing number of manufacturing requirements is pushing original equipment manufacturers (OEM) to design more complex systems to meet industrial needs. These systems are being fitted with more components which bear stochastic and economic... Read More about Prognostics and health management for multi-component systems.