Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Mariette Awad"'
Publikováno v:
IEEE Access, Vol 11, Pp 19941-19968 (2023)
Non terrestrial networks (NTN) involving ‘in the sky’ objects such as low-earth orbit satellites, high altitude platform systems (HAPs) and Unmanned Aerial Vehicles (UAVs) are expected to be integral components of next generation cellular systems
Externí odkaz:
https://doaj.org/article/e543a5e4ed2a4662a135d603b6487440
Publikováno v:
BMC Research Notes, Vol 15, Iss 1, Pp 1-6 (2022)
Abstract Objective The study aims to explore smokers' acceptance of using a conceptual cigarette tracker like a cigarette filter for smoking cessation using the Technology Acceptance Model (TAM). Smokers presenting to the family medicine clinics at a
Externí odkaz:
https://doaj.org/article/bbe9503242b744daa95bf6dbb4a02fea
Autor:
Zahraa Al Sahili, Mariette Awad
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Advances in deep learning and transfer learning have paved the way for various automation classification tasks in agriculture, including plant diseases, pests, weeds, and plant species detection. However, agriculture automation still faces various ch
Externí odkaz:
https://doaj.org/article/b706187377434019ae27e30b894c5501
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Deep neural networks can be used to diagnose and detect plant diseases, helping to avoid the plant health-related crop production losses ranging from 20 to 50% annually. However, the data collection and annotation required to achieve high accuracies
Externí odkaz:
https://doaj.org/article/fd435d7ce70246e98bdec4b97c126c0f
Publikováno v:
Applied Computing and Informatics, Vol 15, Iss 2, Pp 81-93 (2019)
The failure of shallow neural network architectures in replicating human intelligence led the machine learning community to focus on deep learning, to computationally match human intelligence. The wide availability of increasing computing power coupl
Externí odkaz:
https://doaj.org/article/68931d98450e4ba8a4f262c351c9ce78
On Biologically Inspired Stochastic Reinforcement Deep Learning: A Case Study on Visual Surveillance
Autor:
Nadine Hajj, Mariette Awad
Publikováno v:
IEEE Access, Vol 7, Pp 108431-108437 (2019)
Here, we present a biologically inspired visual network (BIVnet) for image processing tasks. The proposed model possesses similarities with its neural counterpart and is trained by a stochastic algorithm which employs a partially observable Markov de
Externí odkaz:
https://doaj.org/article/84fe7c32d7c843f6b4264e8cbfaa3cfa
Publikováno v:
IEEE Access, Vol 6, Pp 68932-68947 (2018)
Simultaneous localization and environment mapping (SLAM) is the core to robotic mapping and navigation as it constructs simultaneously the unknown environment and localizes the agent within. However, in millimeter wave (mmWave) research, SLAM is stil
Externí odkaz:
https://doaj.org/article/cc935d215c8b4499952c976687900f02
Publikováno v:
Algorithms, Vol 3, Iss 1, Pp 1-20 (2010)
We present in this paper a novel dynamic learning method for classifying polyp candidate detections in Computed Tomographic Colonography (CTC) using an adaptation of the Least Square Support Vector Machine (LS-SVM). The proposed technique, called Wei
Externí odkaz:
https://doaj.org/article/b9bc16e4b9d24bc3a0537d2a4bf67090
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
Motivated by the emerging requirements of surveillance networks, we present in this paper an incremental multiclassification support vector machine (SVM) technique as a new framework for action classification based on real-time multivideo collected b
Externí odkaz:
https://doaj.org/article/0177436b5b74458f8e6c88d13809dbca
Publikováno v:
IEEE Transactions on Antennas and Propagation. 71:3894-3904