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All Outputs (20)

Enhancing Gearbox Fault Diagnosis through Advanced Feature Engineering and Data Segmentation Techniques (2024)
Journal Article

Efficient gearbox fault diagnosis is crucial for the cost-effective maintenance and reliable operation of rotating machinery. Despite extensive research, effective fault diagnosis remains challenging due to the multitude of features available for cla... Read More about Enhancing Gearbox Fault Diagnosis through Advanced Feature Engineering and Data Segmentation Techniques.

Finding Good Attribute Subsets for Improved Decision Trees Using a Genetic Algorithm Wrapper; a Supervised Learning Application in the Food Business Sector for Wine Type Classification (2023)
Journal Article

This study aims to provide a method that will assist decision makers in managing large datasets, eliminating the decision risk and highlighting significant subsets of data with certain weight. Thus, binary decision tree (BDT) and genetic algorithm (G... Read More about Finding Good Attribute Subsets for Improved Decision Trees Using a Genetic Algorithm Wrapper; a Supervised Learning Application in the Food Business Sector for Wine Type Classification.

Perspective distortion modeling for image measurements (2020)
Journal Article
Bousaid, A., Theodoridis, T., Nefti-Meziani, S., & Davis, S. (2020). Perspective distortion modeling for image measurements. IEEE Access, 8, 15322-15331. https://doi.org/10.1109/ACCESS.2020.2966716

A perspective distortion modelling for monocular view that is based on the fundamentals of perspective projection is presented in this work. Perspective projection is considered to be the most ideal and realistic model among others, which depicts ima... Read More about Perspective distortion modeling for image measurements.

The design and mathematical model of a novel variable stiffness extensor-contractor pneumatic artificial muscle (2018)
Journal Article

This article presents the design of a novel Extensor-Contractor Pneumatic Artificial Muscle (ECPAM). This new actuator has numerous advantages over traditional pneumatic artificial muscles. These include the ability to both contract and extend relati... Read More about The design and mathematical model of a novel variable stiffness extensor-contractor pneumatic artificial muscle.

Design, fabrication and testing of a 2 DOF compliant flexural microgripper (2018)
Journal Article
Dsouza, R., Navin, K., Theodoridis, T., & Sharma, P. (2018). Design, fabrication and testing of a 2 DOF compliant flexural microgripper. Microsystem Technologies, 24(9), 3867-3883. https://doi.org/10.1007/s00542-018-3861-y

This paper presents the development of a monolithic two degrees of freedom (2 DOF), piezoelectric actuated microgripper for the manipulation of micro-objects. Micromanipulation and microassembly are the major subjects of interest in recent times and... Read More about Design, fabrication and testing of a 2 DOF compliant flexural microgripper.

Novel design of a soft lightweight pneumatic continuum robot arm with decoupled variable stiffness and positioning (2017)
Journal Article

Soft robot arms possess unique capabilities when it comes to adaptability, flexibility and dexterity. In addition, soft systems that are pneumatically actuated can claim high power to weight ratio. One of the main drawbacks of pneumatically actuated... Read More about Novel design of a soft lightweight pneumatic continuum robot arm with decoupled variable stiffness and positioning.

The binomial-neighbour instance-based learner on a multiclass performance measure scheme (2014)
Journal Article
Theodoridis, T., & Hu, H. (2015). The binomial-neighbour instance-based learner on a multiclass performance measure scheme. Soft Computing, 19(10), 2973-2981. https://doi.org/10.1007/s00500-014-1461-z

This paper presents a novel instance-based learning methodology the Binomial-Neighbour (B-N) algorithm. Unlike to other k-Nearest Neighbour algorithms, B-N employs binomial search through vectors of statistical features and distance primitives. The b... Read More about The binomial-neighbour instance-based learner on a multiclass performance measure scheme.