Browsing Electrical Engineering by Language "en"
Now showing items 1-20 of 2649
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1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
( Elsevier B.V. , 2018 , Article)Structural damage detection has been an interdisciplinary area of interest for various engineering fields. While the available damage detection methods have been in the process of adapting machine learning concepts, most ... -
1-D Convolutional Neural Networks for Signal Processing Applications
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)1D Convolutional Neural Networks (CNNs) have recently become the state-of-the-art technique for crucial signal processing applications such as patient-specific ECG classification, structural health monitoring, anomaly ... -
11 Level boost inverter topology with dual-source configuration
( John Wiley and Sons Inc , 2022 , Article)With the advancement of the application of power converters in the power industry, the research towards the prominent power converter namely multilevel inverter has gained a lot of attraction. Here, a dual-source configured ... -
1D convolutional neural networks and applications: A survey
( Academic Press , 2021 , Article)During the last decade, Convolutional Neural Networks (CNNs) have become the de facto standard for various Computer Vision and Machine Learning operations. CNNs are feed-forward Artificial Neural Networks (ANNs) with ... -
1D Convolutional Neural Networks Versus Automatic Classifiers for Known LPI Radar Signals under White Gaussian Noise
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)In this study we analyze the signal classification performances of various classifiers for deterministic signals under the additive White Gaussian Noise (WGN) in a wide range of signal to noise ratio (SNR) levels (-40dB ... -
2D Self-organized ONN model for Handwritten Text Recognition
( Elsevier , 2022 , Article)Deep Convolutional Neural Networks (CNNs) have recently reached state-of-the-art Handwritten Text Recognition (HTR) performance. However, recent research has shown that typical CNNs' learning performance is limited since ... -
3-D Placement Schemes of Multiple UAVs in NFP-based Wireless Networks
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)In this paper, we propose two placement strategies of multiple unmanned aerial vehicles (UAVs) in network flying platform (NFP)-based wireless networks. The first strategy is based on a proposed distributed placement ... -
3D Beamforming with Massive Cylindrical Arrays for Physical Layer Secure Data Transmission
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)In this letter, a novel approach for physical layer security is implemented using massive cylindrical antenna arrays. A part of the arrays is used for transmitting a signal reliably from source to destination using highly ... -
3D Quantum Cuts for automatic segmentation of porous media in tomography images
( Elsevier Ltd , 2022 , Article)Binary segmentation of volumetric images of porous media is a crucial step towards gaining a deeper understanding of the factors governing biogeochemical processes at minute scales. Contemporary work primarily revolves ... -
3D Uplink Channel Modeling of UAV-Based mmWave Fronthaul Links for Future Small Cell Networks
( IEEE , 2023 , Article)In this study, we consider an unmanned aerial vehicle (UAV)-assisted heterogeneous network that is offered as a cost effective and easy to deploy solution to solve the problem related to transferring traffic of distributed ... -
5G wireless backhaul networks: Challenges and research advances
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Article)5G networks are expected to achieve gigabit-level throughput in future cellular networks. However, it is a great challenge to treat 5G wireless backhaul traffic in an effective way. In this article, we analyze the wireless ... -
7L-SCBI topology with minimal semiconductor device count
( Institution of Engineering and Technology , 2020 , Article)In this work, a seven-level switched capacitor boost inverter (7L-SCBI) is proposed with minimal resource count. The proposed inverter requires only eight switches and two capacitors to generate a seven-level voltage. The ... -
A 0.35µm Low-Noise Stable Charge Sensitive Amplifier for Silicon Detectors Applications
( Society for Microelectronics, Electric Components and Materials , 2020 , Article)The Charge Sensitive Amplifier (CSA) is the key module of the front-end electronics of various types of Silicon detectors and most radiation detection systems. High gain, stability, and low input noise are the major concerns ... -
A 3G/WiFi-enabled 6LoWPAN-based U-healthcare system for ubiquitous real-time monitoring and data logging
( IEEE Computer Society , 2014 , Conference Paper)Ubiquitous healthcare (U-healthcare) systems are expected to offer flexible and resilient high-end technological solutions enabling remote monitoring of patients health status in real-time and provisioning of feedback and ... -
A 9- and 13-Level Switched-Capacitor-Based Multilevel Inverter With Enhanced Self-Balanced Capacitor Voltage Capability
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Boost action is required for enhancing the output voltage of the sources such as photovoltaic (PV) sources, fuel cells, and battery storage devices, which eliminates the need for additional units. For this purpose, ... -
A Bayesian approach for estimation of linear-regression LPV models
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)In this paper, a Bayesian framework for identification of linear parameter-varying (LPV) models with finite impulse response (FIR) dynamic structure is introduced, in which the dependency structure of LPV system on the ... -
A Bayesian Approach for LPV Model Identification and Its Application to Complex Processes
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)Obtaining mathematical models that can accurately describe nonlinear dynamics of complex processes and be further used for model-based control design is a challenging task. In this brief, a Bayesian approach is introduced ... -
A Bayesian approach for model identification of LPV systems with uncertain scheduling variables
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)This paper presents a Gaussian Process (GP) based Bayesian method that takes into account the effect of additive noise on the scheduling variables for identification of linear parameter-varying (LPV) models in input-output ... -
A bearingless coaxial magnetic gearbox
( Elsevier , 2014 , Article)Recently, magnetic gearboxes (MGBs) are serious contenders to their conventional mechanical counterparts in terms of reduced maintenance requirements, improved reliability, tolerance to mechanical inaccuracies, and inherent ... -
A BHJ-thin-film/liquid-electrolyte based electrochemical-sensor for visible light-detection
( Royal Society of Chemistry , 2017 , Article)The current study presents a new type of inexpensive and very sensitive bulk heterojunction (BHJ) organic photo-sensor (OPS) configuration that incorporates a layer of liquid electrolyte into the conventional BHJ photodiode ...
