Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Sohel, Anwar"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
The goal of achieving autonomous navigation for agricultural robots poses significant challenges, mostly arising from the substantial natural variations in crop row images as a result of weather conditions and the growth stages of crops. The processi
Externí odkaz:
https://doaj.org/article/5cd92e44044848b08bea0c2e5b736843
Autor:
Adibuzzaman Rahi, Omar Elgeoushy, Shazeb H. Syed, Hazim El-Mounayri, Hatem Wasfy, Tamer Wasfy, Sohel Anwar
Publikováno v:
IEEE Access, Vol 12, Pp 162977-162989 (2024)
Autonomous navigation in off-road environments presents significant challenges due to the diverse and unpredictable characteristics of natural terrains. Due to the class imbalances prevalent in the existing datasets, the current models exhibit diffic
Externí odkaz:
https://doaj.org/article/abb819f1a2cf440c9e8e94ed70811507
Autor:
Adibuzzaman Rahi, Chris Cardoza, Sri Sai Teja Vemulapalli, Ehsan Malekipour, Hazim El-Mounayri, Hatem Wasfy, Tamer Wasfy, Sohel Anwar
Publikováno v:
IEEE Access, Vol 12, Pp 127836-127845 (2024)
Rigorous testing of automotive sensors for accuracy and precision is essential before finalizing designs and proceeding with mass production. This testing process plays a crucial role in identifying these sensors’ potential shortcomings, which are
Externí odkaz:
https://doaj.org/article/a3336c81b9854397be1860f37e85d0e1
Autor:
Sourav Pramanik, Sohel Anwar
Publikováno v:
IEEE Access, Vol 11, Pp 93828-93840 (2023)
The objective of this paper is to formulate and analyze the benefits of a predictive non-linear multi objective optimization method for a platoon of mild-hybrid line haul trucks. In this study a group of three trucks with hybrid electric powertrain a
Externí odkaz:
https://doaj.org/article/f9b8551dd82740caa135d85927dc3657
Autor:
Sourav Pramanik, Sohel Anwar
Publikováno v:
Vehicles, Vol 4, Iss 4, Pp 1344-1364 (2022)
Fuel consumption, subsequent emissions and safe operation of class 8 vehicles are of prime importance in recent days. It is imperative that a vehicle operates in its true optimal operating region, given a variety of constraints such as road grade, lo
Externí odkaz:
https://doaj.org/article/f01f258cdd8749b087ea9405a23cae10
Publikováno v:
Energies, Vol 16, Iss 13, p 5082 (2023)
The efficiency of hybrid electric powertrains is heavily dependent on energy and power management strategies, which are sensitive to the dynamics of the powertrain components that they use. In this study, a Modified Particle Swarm Optimization (Modif
Externí odkaz:
https://doaj.org/article/fae44186d77a4982a4e0492ac87981b3
Autor:
Ahmed Alotaibi, Sohel Anwar
Publikováno v:
IEEE Access, Vol 9, Pp 14752-14764 (2021)
Polymer nanocomposites (PNC) have a great potential for in-situ strain sensing applications in both static and dynamic loading scenarios. These PNCs, having a polymer matrix of polyvinylidene fluoride (PVDF) with a conductive filler of multi-walled c
Externí odkaz:
https://doaj.org/article/5797e280d26a494faf1ad8aa621d3430
Autor:
Ahmed Alotaibi, Sohel Anwar
Publikováno v:
IEEE Access, Vol 9, Pp 162156-162174 (2021)
This paper presents a novel 3D force sensor design based on in-situ nanocomposite strain sensors. The polymer matrix of the polyvinylidene fluoride (PVDF) and multi-walled carbon nanotubes (MWCNT) conductive filler nanocomposite film have been chosen
Externí odkaz:
https://doaj.org/article/ecdd15f63bc94f708c8d5474e1f7ac5e
Publikováno v:
IEEE Transactions on Biomedical Engineering. 70:1553-1564
Low back pain (LBP) is one of the leading neuromusculoskeletal (NMSK) problems around the globe. Soft Tissue Manipulation (STM) is a force-based, non-invasive intervention used to clinically address NMSK pain conditions. Current STM practice standard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::896bbb90ea66a62ff47c3e8c62838eca
https://doi.org/10.1109/tbme.2022.3222124
https://doi.org/10.1109/tbme.2022.3222124
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
A single camera creates a bounding box (BB) for the detected object with certain accuracy through a convolutional neural network (CNN). However, a single RGB camera may not be able to capture the actual object within the BB even if the CNN detector a
Externí odkaz:
https://doaj.org/article/db8bda9912a548508f3d0333ab688d6f