Results 41 to 50 of about 190 (147)
Integration of Flexible Touch Panels and Machine Learning: Applications and Techniques
Advanced Intelligent Systems, Volume 6, Issue 3, March 2024.In this article, the development of advanced flexible touch panel technologies is explored. It covers capacitive, resistive, piezoelectric, and triboelectric nanogenerators, enhanced by machine learning approaches including support vector machines, artificial neural networks, convolutional neural networks, and k‐nearest neighbors.
Jiayue Zheng +4 more
wiley +1 more source
Direct blind multiuser detection without channel estimation and equalizer design
Tongxin xuebao, 2005 The blind equalization and multiuser detection problem for synchronous high-rate DS-CDMA systems in dispersive channels was considered. Using only the spreading code of the desired user and the property that the transmitted signals belong to the finite ...
ZHANG Zhi-yong1, LING Yun2
doaj +2 more sources
Crypto Deep Ring Topology Firewall in Sensitive Data Transmission and Retrieval in Cloud
IET Information Security, Volume 2024, Issue 1, 2024.The data transmission and data retrieval process from the cloud is a critical issue because of cyber‐attacks. The data in the cloud is highly vulnerable and may fall prey to hackers. The hackers tend to attack the data in the public network, deteriorating the range of confidentiality and the authentication of the data.
Vikas K. Soman, V. Natarajan, Bohui Wang
wiley +1 more source
DS/CDMA Multiuser Detectors Based on Subspace Methods
Semina: Ciências Exatas e Tecnológicas, 2006 In this work blind and group-blind (Bld-MuD and SBld-MuD, respectively) multiuser detectors (MuD) are analyzed from the point of view of the trade-off between performance versus complexity; specifically, the blind and group-blind detectors are ...
Paul Jean Etienne Jeszensky +2 more
doaj
A Multimodal Low Complexity Neural Network Approach for Emotion Recognition
Human Behavior and Emerging Technologies, Volume 2024, Issue 1, 2024.This paper introduces a neural network‐based model designed for classifying emotional states by leveraging multimodal physiological signals. The model utilizes data from the AMIGOS and SEED‐V databases. The AMIGOS database integrates inputs from electroencephalogram (EEG), electrocardiogram (ECG), and galvanic skin response (GSR) to analyze emotional ...
Adrian Rodriguez Aguiñaga +4 more
wiley +1 more source
Semi-blind and group-blind multiuser detection for the MC-CDMA uplink [PDF]
2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514), 2005 In this contribution both semi-blind and group-blind multiuser detectors designed for uplink MC-CDMA systems are investigated in conjunction with different spreading codes. In the investigated scenario Walsh codes are shown to outperform both Gold codes and Zadoff-Chu codes.
Wei, H., Hanzo, L.
openaire +2 more sources
Intelligent Diagnosis of Urban Underground Drainage Network: From Detection to Evaluation
Structural Control and Health Monitoring, Volume 2024, Issue 1, 2024.During the process of urban development, there is large‐scale laying of underground pipeline networks and coordinated operation of both new and old networks. The underground concrete drainage pipes have become a focus of operation and maintenance due to their strong concealment and serious corrosion.
Daming Luo +3 more
wiley +1 more source
ETRI Journal, 2019 In time division duplex (TDD)‐based multiuser massive multiple input multiple output (MIMO) systems, the uplink channel is estimated and the results are used in downlink for signal detection. Owing to noisy uplink channel estimation, the downlink channel
Parisa Pasangi +2 more
doaj +1 more source
Blind Reduced-Rank MMSE Detector for DS-CDMA Systems
EURASIP Journal on Advances in Signal Processing, 2002 We first develop a reduced-rank minimum mean squared error (MMSE) detector for direct-sequence (DS) code division multiple access (CDMA) by forcing the linear MMSE detector to lie in a signal subspace of a reduced dimension.
Ge Hongya, Akansu Ali N, Cai Xiaodong
doaj +1 more source