Zobrazeno 1 - 10
of 373
pro vyhledávání: '"Zong Woo GEEM"'
Autor:
Saeid Jafarzadeh Ghoushchi, Sina Shaffiee Haghshenas, Sahand Vahabzadeh, Giuseppe Guido, Zong Woo Geem
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102626- (2024)
The rapid advancement of Connected Autonomous Vehicles (CAVs) equipped with self-powered sensors is poised to revolutionize road safety, efficiency, and the quality of travel. However, the effective integration of these technologies within dynamic ro
Externí odkaz:
https://doaj.org/article/9596140cb62c440fbfc39f71734ecf1a
Autor:
Mohammed H. Alsharif, Anabi Hilary Kelechi, Abu Jahid, Raju Kannadasan, Manish Kumar Singla, Jyoti Gupta, Zong Woo Geem
Publikováno v:
Alexandria Engineering Journal, Vol 91, Iss , Pp 12-29 (2024)
Energy efficiency is a key area of research aimed at achieving sustainable and environmentally friendly networks. With the rise in data traffic and network congestion, IoT devices with limited computational power and energy resources face challenges
Externí odkaz:
https://doaj.org/article/873a1e950b194943b30ea299699b48a5
Publikováno v:
Diagnostics, Vol 14, Iss 23, p 2698 (2024)
Background/Objectives: Artificial Intelligence (AI) in healthcare employs advanced algorithms to analyze complex and large-scale datasets, mimicking aspects of human cognition. By automating decision-making processes based on predefined thresholds, A
Externí odkaz:
https://doaj.org/article/d8ddfb3b6ad14279a98b27d2709f391e
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 9928 (2024)
This study proposes the Pairwise Attention Enhancement (PAE) model to address the limitations of the Vision Transformer (ViT). While the ViT effectively models global relationships between image patches, it encounters challenges in medical image anal
Externí odkaz:
https://doaj.org/article/94b3504b7f6047caa9a6f5de14533eaa
Autor:
Muthukumar Kandasamy, Renugadevi Thangavel, Thamaraiselvi Arumugam, Sureshkumar Kumaravel, Sakthivel Aruchamy, Wook-Won Kim, Zong Woo Geem
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 4345-4359 (2023)
The article focuses on the optimal planning of distribution static synchronous compensator (DSTATCOM) and distributed generation (DG) to minimize power losses, and simultaneously enhance the voltage profile, and voltage stability at various nodes of
Externí odkaz:
https://doaj.org/article/3202893c70c445a18ad91bcd65c0ef69
Autor:
Mouncef El Marghichi, Azeddine Loulijat, Soufiane Dangoury, Hamid Chojaa, Almoataz Y. Abdelaziz, Mahmoud A. Mossa, Junhee Hong, Zong Woo Geem
Publikováno v:
Energy Reports, Vol 10, Iss , Pp 2710-2724 (2023)
Accurate assessment of metrics such as state of health (SOH) is of paramount importance in effective battery management systems (BMS), given the propensity of batteries to experience capacity degradation with aging. This research endeavors to signifi
Externí odkaz:
https://doaj.org/article/019ebe77e6c246f2be68eda2acb91e18
Autor:
Giuseppe Guido, Sina Shaffiee Haghshenas, Alessandro Vitale, Vittorio Astarita, Zong Woo Geem
Publikováno v:
Journal of Soft Computing in Civil Engineering, Vol 7, Iss 4, Pp 93-109 (2023)
Road safety is an important subject to study in both the technical and academic fields of road transportation. In recent years, there has been a significant rise in the number of studies that look at how intelligent transportation systems (ITS) can b
Externí odkaz:
https://doaj.org/article/6180531d2ecb4374890efd44e95d2eca
Publikováno v:
Biomimetics, Vol 9, Iss 9, p 544 (2024)
The performance of ultra-high-performance concrete (UHPC) allows for the design and creation of thinner elements with superior overall durability. The compressive strength of UHPC is a value that can be reached after a certain period of time through
Externí odkaz:
https://doaj.org/article/ccbda888db744d75993f850eb99815a1
Publikováno v:
PLoS ONE, Vol 19, Iss 3, p e0298527 (2024)
Lung cancer is one of the leading causes of cancer-related deaths worldwide. To reduce the mortality rate, early detection and proper treatment should be ensured. Computer-aided diagnosis methods analyze different modalities of medical images to incr
Externí odkaz:
https://doaj.org/article/07ab5ae8d6fb46a18e42bf2a03391583
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 1, Pp 101885- (2024)
Vehicle make and model recognition (VMMR) is a crucial task for developing automatic vehicle recognition (AVR) systems, and has gained significant attention in the fields of computer vision and artificial intelligence in recent years. The ability to
Externí odkaz:
https://doaj.org/article/60de5e4223bc41158797b1341c0b1d64