Browsing Electrical Engineering by Title
Now showing items 584-603 of 2616
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BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data
( Springer Science and Business Media Deutschland GmbH , 2023 , Article)Nowadays, quick, and accurate diagnosis of COVID-19 is a pressing need. This study presents a multimodal system to meet this need. The presented system employs a machine learning module that learns the required knowledge ... -
Biofuels in Malaysian perspective: Debates and benefits
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Fossil fuels bring about concerns like air pollution, rising greenhouse gas emissions due to its combustion and depletion issues. The need to more to biofuels as an alternative and renewable energy source is for a sustainable ... -
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 ... -
Blockchains for Scalable IoT Management, Access, and Accountability
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Other)The articles in this special section focuses on blockchain for scalable Internet of Things (IoT) management, access, and accountability. The articles highlight new blockchain architectures and techniques that can be leveraged ... -
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 ...