Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Sarath Kodagoda"'
Autor:
Lasitha Piyathilaka, Sarath Kodagoda, Karthick Thiyagarajan, Massimo Piccardi, D. M. G. Preethichandra, Umer Izhar
Publikováno v:
IEEE Access, Vol 12, Pp 868-877 (2024)
Many indoor robots operate in environments designed to support human activities. Understanding probable human actions in such surroundings is crucial for facilitating better human-robot interactions. This article presents an innovative approach to ma
Externí odkaz:
https://doaj.org/article/6176fd9d46bc4be3928d0665732c4137
Publikováno v:
Sensors, Vol 24, Iss 7, p 2055 (2024)
In recent years, computer vision has witnessed remarkable advancements in image classification, specifically in the domains of fully convolutional neural networks (FCNs) and self-attention mechanisms. Nevertheless, both approaches exhibit certain lim
Externí odkaz:
https://doaj.org/article/4a9badc1866e4ff39abe0a22bb4ed4a0
Autor:
Khushboo Singh, Mondeep Saikia, Karthick Thiyagarajan, Dushmantha Thalakotuna, Karu Esselle, Sarath Kodagoda
Publikováno v:
Sensors, Vol 23, Iss 20, p 8561 (2023)
In this paper, we propose a reconfigurable intelligent surface (RIS) that can dynamically switch the transmission and reflection phase of incident electromagnetic waves in real time to realize the dual-beam or quad-beam and convert the polarization o
Externí odkaz:
https://doaj.org/article/57ea1a1604634f89b6ccf6053b56e34b
Publikováno v:
IEEE Access, Vol 6, Pp 56562-56574 (2018)
In wastewater industry, real-time sensing of surface temperature variations on concrete sewer pipes is paramount in assessing the rate of microbial-induced corrosion. However, the sensing systems are prone to failures due to the aggressively corrosiv
Externí odkaz:
https://doaj.org/article/76d8985d2c224228ab0b520432f014a8
Publikováno v:
IEEE Sensors Letters. 7:1-4
Autor:
Zulkarnain Zainudin, Sarath Kodagoda
Publikováno v:
International Journal of Robotics and Control Systems. 3:206-220
A model for expressing and describing human motion patterns must be able to improve tracking accuracy. However, Conventional Bayesian Filters such as Kalman Filter (KF) and Particle Filter (PF) are vulnerable to failure when dealing with highly maneu
Autor:
Zulkarnain Zainudin, Sarath Kodagoda
Publikováno v:
International Journal of Robotics and Control Systems. 2:120-133
Consistency of tracking filter such as Interactive Multiple Model Probabilistic Data Association Filter (IMMPDAF) is the most important factor in targets tracking. Inaccurate tracking capability will lead to poor tracking performance when dealing wit
Publikováno v:
IEEE Sensors Letters. 6:1-4
Publikováno v:
IEEE Sensors Letters. 6:1-4
This letter proposes a deep learning approach for nondestructively detecting concrete subsurface boundaries between corroded and noncorroded layers using ground penetrating radar (GPR). We utilize a finite difference time domain technique to simulate
Water utilities across the globe are concerned with the inspection and replacement of buried metallic water pipes due to corrosion-related structural damages. Internal pipe linings are commonly used as a renewal method to improve structural strength
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc9f9b003d903f3e549a9cb96982d919
https://hdl.handle.net/10453/164990
https://hdl.handle.net/10453/164990