Faculty of Electrical Engineering and Information Technologies
Permanent URI for this communityhttps://repository.ukim.mk/handle/20.500.12188/10
Browse
17 results
Search Results
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, Uncertain Switched Fuzzy Systems: A Robust Output Feedback Control Design(Springer International Publishing, 2016) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Decentralized Control of Complex Dynamic Systems Employing Function Emulation by Neural Networks(Springer International Publishing, 2016) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Detection of Epilepsy Using Adaptive Neuro-Fuzzy Inference System and Comparative Analysis(Springer International Publishing, 2022) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Survey of Bias in Healthcare: Pitfalls of Using Biased Datasets and Applications(Springer, Cham, 2023-07-09); ; Osmani, VenetArtificial intelligence (AI) is widely used in medical applications to support outcome prediction and treatment optimisation based on collected patient data. With the increasing use of AI in medical applications, there is a need to identify and address potential sources of bias that may lead to unfair decisions. There have been many reported cases of bias in healthcare professionals, medical equipment, medical datasets, and actively used medical applications. These cases have severely impacted the quality of patients’ healthcare, and despite awareness campaigns, bias has persisted or in certain cases even exacerbated. In this paper, we survey reported cases of different forms of bias in medical practice, medical technology, medical datasets, and medical applications, and analyse the impact these reports have in the access and quality of care provided for certain patient groups. In the end, we discuss possible pitfalls of using biased datasets and applications, and thus, provide the reasoning behind the need for robust and equitable medical technologies. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Network Traffic Analysis and Control by Application of Machine Learning(Springer, Cham, 2023-07-09) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Analysis of Early Cancer Diagnosis Using Machine Learning(Springer, Cham, 2024) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, ViMeLa: Interactive Educational Environment for Mechatronics Lab in Virtual Reality(Routledge, 2020-06)Digalovski, Mihail at all - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Combined Electromagnetic and Thermal Analysis of Permanent Magnet Disc Motor(Springer, 2008)Cvetkovski Goga, Petkovska Lidija and Gair SinclairThe paper presents a methodology for coupling electromagnetic and thermal phenomena in a permanent magnet disc motor performance analysis. Both the electromagnetic and thermal analysis is performed using two-dimensional finite element method (FEM). Due to the complex geometry of the disc motor a proper modelling of the motor is performed. The thermal analysis is performed based on the losses calculated from the electromagnetic FEM analysis, as well as the measured ones. To show the validity of the proposed method, a test bench is realized and temperatures in specific points are measured and afterwards compared with the calculated ones using FEM analysis. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Monitoring System Design for Smart Agriculture(Springer, 2022) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimal Design Exploiting 3D Printing and Metamaterials(IET The Institution of Engineering and Technology, London, United Kingdom, 2021)Lidija Petkovska and Goga CvetkovskiThe key theme of this book is an exploration of how recent advances across three related scientific fields are intertwined - the developments in metamaterials, the automated optimal design of innovative electronic, electromagnetic and mechatronic devices, and 3D printing. Developments in the field of automated optimal design have enabled the design of innovative electronic, electromagnetic and mechatronic devices, but there is a risk that design uncertainties and fabrication tolerances dictated by conventional manufacturing techniques will limit the practical synthesis and industrial realisation of these novel designs. The solution might be found in new manufacturing possibilities offered by 3D printing technologies and techniques for the fabrication of conductive layers in low and high frequency applications. The book approaches the topic from several perspectives, including the design of 3D fields, advances in shape synthesis, the role of additive manufacturing in synthesising metamaterials and manipulating ferromagnetic materials, and the steps from numerical models to printed mechatronic devices. A final chapter discusses design challenges and opportunities in industrial settings. Led by two expert editors, with contributions from authors with a range of backgrounds across academia and industrial research, this book provides key information for researchers, advanced students and industry professionals in advanced manufacturing, mechatronics, and electrical and electronic engineering.