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pro vyhledávání: '"Tilahun, M"'
At the confluence of 6G, deep learning (DL), and natural language processing (NLP), DL-enabled text semantic communication (SemCom) has emerged as a 6G enabler since it minimizes bandwidth consumption, transmission delay, and power usage. Among exist
Externí odkaz:
http://arxiv.org/abs/2310.19974
Autor:
Getu, Tilahun M., Kaddoum, Georges
Although deep learning (DL) has led to several breakthroughs in many disciplines as diverse as chemistry, computer science, electrical engineering, mathematics, medicine, neuroscience, and physics, a comprehensive understanding of why and how DL is e
Externí odkaz:
http://arxiv.org/abs/2309.06774
SemCom and goal-oriented SemCom are designed to transmit only semantically-relevant information and hence help to minimize power usage, bandwidth consumption, and transmission delay. Consequently, SemCom and goal-oriented SemCom embody a paradigm shi
Externí odkaz:
http://arxiv.org/abs/2308.01913
Semantic communication (SemCom) aims to convey the meaning behind a transmitted message by transmitting only semantically-relevant information. This semantic-centric design helps to minimize power usage, bandwidth consumption, and transmission delay.
Externí odkaz:
http://arxiv.org/abs/2303.10867
Although deep learning (DL)-enabled semantic communication (SemCom) has emerged as a 6G enabler by minimizing irrelevant information transmission -- minimizing power usage, bandwidth consumption, and transmission delay, its benefits can be limited by
Externí odkaz:
http://arxiv.org/abs/2302.14702
We provide a new generation solution to the fundamental old problem of a doubly selective fading channel estimation for orthogonal frequency division multiplexing (OFDM) systems. For systems based on OFDM, we propose a deep learning (DL)-based blind
Externí odkaz:
http://arxiv.org/abs/2206.07483
Publikováno v:
IEEE Access, Vol 12, Pp 51223-51274 (2024)
Although many proposals have been developed for the sixth-generation (6G) technology, realizing 6G is fraught with numerous fundamental interdisciplinary, multidisciplinary, and transdisciplinary challenges. To mitigate some of these challenges, goal
Externí odkaz:
https://doaj.org/article/29dd0d5de63f4a5cb3001de73c4be19f
Autor:
Getu, Tilahun M.
Among the several paradigms of artificial intelligence (AI) or machine learning (ML), a remarkably successful paradigm is deep learning. Deep learning's phenomenal success has been hoped to be interpreted via fundamental research on the theory of dee
Externí odkaz:
http://arxiv.org/abs/2111.12963
Publikováno v:
Diabetes, Metabolic Syndrome and Obesity, Vol Volume 16, Pp 2089-2103 (2023)
Ousman Mohammed, Ermiyas Alemayehu, Habtye Bisetegn, Habtu Debash, Alemu Gedefie, Hussen Ebrahim, Mihret Tilahun, Temesgen Fiseha Department of Medical Laboratory Sciences, College of Medicine and Health Sciences, Wollo University, Dessie, EthiopiaCo
Externí odkaz:
https://doaj.org/article/123ee5345cc749a1b479a640f95635be
Publikováno v:
HIV/AIDS: Research and Palliative Care, Vol Volume 15, Pp 399-410 (2023)
Tseganew Addisu,1 Mihret Tilahun,2 Shambel Wedajo,3 Bekele Sharew2 1Department of Dental Medicine, School of Medicine, College of Medicine and Health Science, Wollo University, Dessie, Ethiopia; 2Department of Medical Laboratory Sciences, College of
Externí odkaz:
https://doaj.org/article/14eb788f52014db69aff413a598c5afe