Browsing Electrical Engineering by Title
Now showing items 568-587 of 2495
-
Biosignal time-series analysis
( Elsevier , 2022 , Book chapter)In this chapter, recent state-of-the-art techniques in biosignal time-series analysis will be presented. We shall start with the problem of patient-specific ECG beat classification where the objective is to discriminate ... -
Blind ECG Restoration by Operational Cycle-GANs
( IEEE Computer Society , 2022 , Article)Objective: ECG recordings often suffer from a set of artifacts with varying types, severities, and durations, and this makes an accurate diagnosis by machines or medical doctors difficult and unreliable. Numerous studies ... -
Blind secure communication: The Secure degrees of freedom of one hop wireless networks with No CSI
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)We study a number of wireless networks with secrecy constraints and No CSI. The wiretap and MIMO broadcast channels in a presence of an external eavesdropper and the MIMO interference channel with secret messages and no ... -
Blind SNR Estimation of Gaussian-Distributed Signals in Nakagami Fading Channels
( IEEE , 2015 , Article)A blind (non-data-aided) SNR estimator using the statistical moments of the received signal is proposed. The proposed envelope-based non-data-aided estimator works for any time-domain Gaussian-distributed signal (e.g. OFDM ... -
Blockchain-Based Local Energy Market Enabling P2P Trading: An Australian Collated Case Study on Energy Users, Retailers and Utilities
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)This paper presents a collated case study on local energy market (LEM) in Australia, in which energy users take part frequently in peer-to-peer (P2P) energy trading among themselves considering the agile presence of energy ... -
Blockchain-based recommender systems: Applications, challenges and future opportunities
( Elsevier , 2022 , Article Review)Recommender systems have been widely used in different application domains including energy-preservation, e-commerce, healthcare, social media, etc. Such applications require the analysis and mining of massive amounts of ... -
BM3D VS 2-LAYER ONN
( IEEE Computer Society , 2021 , Conference Paper)Despite their recent success on image denoising, the need for deep and complex architectures still hinders the practical usage of CNNs. Older but computationally more efficient methods such as BM3D remain a popular choice, ... -
Boost inverter-based HVDC transmission system with inherent blocking capability of AC side contribution during DC side faults
( Elsevier Ltd , 2014 , Article)Semiconductor advancements in the past three decades have positioned the voltage source converter-based HVDC (VSC-HVDC) solution as a practical and popular alternative to its line-commutated converter high voltage DC ... -
Boosting domestic energy efficiency through accurate consumption data collection
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Domestic user behavior shapes overall power consumption, necessitating the development of systems that analyze and help foster energy efficient behavior. The most important step in the process is the collection and management ... -
Bootstrap-Based Quality Metric for Scarce Sensing Systems
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)This paper considers Mobile Crowd-Sensing (MCS) systems that suffer from scarce participant availability due to small sample sizes in each sensing cycle. With such small sample sizes, a sample in error would dramatically ... -
Brain mr image enhancement for tumor segmentation using 3d u-net
( MDPI , 2021 , Article)MRI images are visually inspected by domain experts for the analysis and quantification of the tumorous tissues. Due to the large volumetric data, manual reporting on the images is subjective, cumbersome, and error prone. ... -
Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models
( MDPI , 2023 , Article)Automated brain tumor segmentation from reconstructed microwave (RMW) brain images and image classification is essential for the investigation and monitoring of the progression of brain disease. The manual detection, ... -
Brushless doubly fed induction machine as a variable frequency transformer
( IEEE , 2012 , Conference Paper)Variable frequency transformer (VFT) has been recently used as an alternative to HVDC to control power flow between asynchronous networks. VFT consumes less reactive power than a back-to-back HVDC system, provides faster ... -
Building power consumption datasets: Survey, taxonomy and future directions
( Elsevier , 2020 , Article Review)In the last decade, extended efforts have been poured into energy efficiency. Several energy consumption datasets were henceforth published, with each dataset varying in properties, uses and limitations. For instance, ... -
Calculation of derating factors based on steady-state unbalanced multiphase induction machine model under open phase(s) and optimal winding currents
( Elsevier , 2014 , Article)Multiphase machines have become a promising candidate in high-power applications as they offer many advantages over their three-phase counterparts. The main salient feature is the high fault tolerance capability. During ... -
Calibration of time features and frequency features in the time-frequency domain for improved detection and classification of seizure in newborn EEG signals
( IEEE Computer Society , 2012 , Conference Paper)This paper presents new time-frequency features for seizure detection in newborn EEG signals. These features are obtained by calibrating relevant time features and frequency features in the joint time-frequency domain. The ... -
Can AI Help in Screening Viral and COVID-19 Pneumonia?
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool enabling rapid screening of the COVID-19 ... -
Capacious spread spectrum watermarking utilizing hadamard matrix
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In this paper, a new watermarking method based on spread spectrum technique, which we call capacious spread spectrum (CSS) is proposed. In this method, unlike the traditional spread spectrum watermarking (TSS), more than ... -
Capacitor voltage balancing using redundant states of space vector modulation for five-level diode clamped inverters
( IEEE , 2010 , Article)A redundancy balancing technique for the five-level diode-clamped inverter is presented, which balances the four dc-link capacitor voltages at high modulation index and high power factor. The technique is based on dividing ... -
Capacity analysis of cognitive wireless networks with dynamic spectrum access
( IEEE Computer Society , 2015 , Conference Paper)Cognitive radio (CR) is a promising technology based on spectrum sharing where the secondary unlicensed users can access the licensed frequency bands in the primary system without any modification to the devices, services ...
