Zobrazeno 1 - 10
of 934
pro vyhledávání: '"Deep neural networks (DNNs)"'
Publikováno v:
Egyptian Informatics Journal, Vol 28, Iss , Pp 100565- (2024)
This paper proposes a novel two-stage approach to improve brain tumor classification accuracy using the Br35H MRI Scan Dataset. The first stage employs advanced image enhancement algorithms, GFPGAN and Real-ESRGAN, to enhance the image dataset’s qu
Externí odkaz:
https://doaj.org/article/7c7d6db1ac0342509fa8efe7ddb93fb4
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Externí odkaz:
https://doaj.org/article/60bb0f79441a4f639a6e1b5552668df8
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15862-15884 (2024)
Deep neural networks (DNNs) have evolved to be the state-of-the-art technique for machine learning tasks. However, their high computational demands make them difficult to deploy on embedded devices with limited hardware resources and strict power bud
Externí odkaz:
https://doaj.org/article/e8c0dc7c79694deda14b698e32e83ae5
Publikováno v:
IEEE Access, Vol 12, Pp 108374-108388 (2024)
Detecting drones is a complex challenge, primarily due to their small feature size for extraction and variable lighting conditions. It is crucial to effectively capture and model features for drone detection. To accurately detect drones, we propose f
Externí odkaz:
https://doaj.org/article/de9a4c12eed148cbb644b1949bfa1e32
Autor:
Valentino Constantinou, Mark Hoffmann, Matthew Paterson, Ali Mezher, Brian Pak, Alexander Pertica, Emily Milne
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6354-6365 (2024)
The expansion of small satellite networks in earth's orbit has resulted in a plethora of earth optical imagery available to the civil, defense, and commercial sectors. Small satellites (less than 1000 kg in mass) and their constellations can be deliv
Externí odkaz:
https://doaj.org/article/cea2461c4c794073b8aa9eb1bf0a180d
Autor:
Ruchita Mehta, Sara Sharifzadeh, Vasile Palade, Bo Tan, Alireza Daneshkhah, Yordanka Karayaneva
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 4, Pp 1493-1518 (2023)
Human capability to perform routine tasks declines with age and age-related problems. Remote human activity recognition (HAR) is beneficial for regular monitoring of the elderly population. This paper addresses the problem of the continuous detection
Externí odkaz:
https://doaj.org/article/9a0aec6ac3e44c41a3bccee25a3ede53
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-15 (2023)
Abstract As Artificial Intelligence (AI) becomes increasingly prevalent, Deep Neural Networks (DNNs) have become a crucial tool for developing and advancing AI applications. Considering limited computing and energy resources on mobile devices (MDs),
Externí odkaz:
https://doaj.org/article/abd3118b8fc642429b007f5dba45f5b0
Autor:
Divya Garikapati, Sneha Sudhir Shetiya
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 4, p 42 (2024)
The advent of autonomous vehicles has heralded a transformative era in transportation, reshaping the landscape of mobility through cutting-edge technologies. Central to this evolution is the integration of artificial intelligence (AI), propelling veh
Externí odkaz:
https://doaj.org/article/45a421fbad9b400daa61a7f10801453e
Publikováno v:
IEEE Access, Vol 11, Pp 144040-144050 (2023)
Backdoor attacks, which induce a trained model to behave as intended by an adversary for specific inputs, have recently emerged as a serious security threat in deep learning-based classification models. In particular, because a backdoor attack is exe
Externí odkaz:
https://doaj.org/article/dccea9e8d35c4d2eacb6846a24d1be4f
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 4211-4224 (2023)
Deep learning-based Hand Gesture Recognition (HGR) via surface Electromyogram (sEMG) signals have recently shown considerable potential for development of advanced myoelectric-controlled prosthesis. Although deep learning techniques can improve HGR a
Externí odkaz:
https://doaj.org/article/f6024e7e4976438b9315bb57347b82e8