Zobrazeno 1 - 10
of 190
pro vyhledávání: '"Zaidi, Syed Ali"'
6G's AI native vision of embedding advance intelligence in the network while bringing it closer to the user requires a systematic evaluation of Generative AI (GenAI) models on edge devices. Rapidly emerging solutions based on Open RAN (ORAN) and Netw
Externí odkaz:
http://arxiv.org/abs/2411.17712
The rapid growth of Internet of Things (IoT) devices has generated vast amounts of data, leading to the emergence of federated learning as a novel distributed machine learning paradigm. Federated learning enables model training at the edge, leveragin
Externí odkaz:
http://arxiv.org/abs/2311.01186
Federated Learning (FL) has emerged as a promising approach for privacy preservation, allowing sharing of the model parameters between users and the cloud server rather than the raw local data. FL approaches have been adopted as a cornerstone of dist
Externí odkaz:
http://arxiv.org/abs/2304.13549
Autor:
Nawaz, Hasnain, Wang, Ruirui, Wang, Longlong, Haider Zaidi, Syed Ali, Zhong, Sheng, Li, Kexin, Liu, Ruixia
Publikováno v:
In Applied Surface Science 15 March 2025 685
Autor:
Zaidi, Syed Ali Raza
In this paper, we present an overview of Nearest neighbor (NN) methods, which are frequently employed for solving classification problems using supervised learning. The article concisely introduces the theoretical background, algorithmic, and impleme
Externí odkaz:
http://arxiv.org/abs/2107.07869
Autor:
Liu, Jun, Mei, Kai, Zhang, Xiaochen, McLernon, Des, Ma, Dongtang, Wei, Jibo, Zaidi, Syed Ali Raza
Publikováno v:
IEEE Transactions on Cognitive Communications and Networking, 2021
Multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) is a key technology component in the evolution towards cognitive radio (CR) in next-generation communication in which the accuracy of timing and frequency synchroni
Externí odkaz:
http://arxiv.org/abs/2007.09248
Convolutional neural network (CNN) has been widely exploited for simultaneous and proportional myoelectric control due to its capability of deriving informative, representative and transferable features from surface electromyography (sEMG). However,
Externí odkaz:
http://arxiv.org/abs/1912.00799
Fusion Rules for Distributed Detection in Clustered Wireless Sensor Networks with Imperfect Channels
Autor:
Aldalahmeh, Sami A., Al-Jazzar, Saleh O., McLernon, Des, Zaidi, Syed Ali Raza, Ghogho, Mounir
In this paper we investigate fusion rules for distributed detection in large random clustered-wireless sensor networks (WSNs) with a three-tier hierarchy; the sensor nodes (SNs), the cluster heads (CHs) and the fusion center (FC). The CHs collect the
Externí odkaz:
http://arxiv.org/abs/1902.03990
Autor:
Ashfaq, Zarlish, Rafay, Abdur, Mumtaz, Rafia, Hassan Zaidi, Syed Mohammad, Saleem, Hadia, Raza Zaidi, Syed Ali, Mumtaz, Sadaf, Haque, Ayesha
Publikováno v:
In Ain Shams Engineering Journal June 2022 13(4)