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1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
( Elsevier , 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)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 ... -
2D-MXene as an additive to improve the power conversion efficiency of monolithic perovskite solar cells
( Elsevier B.V. , 2022 , Article)In this study, two-dimensional (2D) material-MXene has been utilized as an additive in perovskite (MAPbI3) from 0 to 20 vol.% with an increment of 5 vol.%. The effect of different vol.% of 2D-MXene on monolithic perovskite ... -
3-D Placement Schemes of Multiple UAVs in NFP-based Wireless Networks
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)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 ... -
3-D Stochastic Geometry-Based Modeling and Performance Analysis of Efficient Security Enhancement Scheme for IoT Systems
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Internet of Things (IoT) systems are becoming core building blocks for different services and applications supporting every day's life. The heterogeneous nature of IoT devices and the complex use scenarios make it hard to ... -
3-D Stochastic Geometry-based Modeling and Performance Analysis of Efficient Security Enhancement scheme for IoT Systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Internet of Things (IoT) systems are becoming core building blocks for different services and applications supporting every day’s life. The heterogeneous nature of IoT devices and the complex use scenarios make it ... -
3D and 4D printing: A review of virgin polymers used in fused deposition modeling
( Elsevier , 2024 , Article)Recent advancements in additive manufacturing (AM), which includes both three-dimensional (3D) and four-dimensional (4D) printing, have revolutionized manufacturing processes across the board. Fused deposition modeling ... -
3D Beamforming Based on Deep Learning for Secure Communication in 5G and beyond Wireless Networks
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)Three-dimensional (3D) beamforming is a potential technique to enhance communication security of new generation networks such as 5G and beyond. However, it is difficult to achieve optimal beamforming due to the challenges ... -
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 Bioprinted cancer models: Revolutionizing personalized cancer therapy
( Neoplasia Press, Inc. , 2021 , Article)After cardiovascular disease, cancer is the leading cause of death worldwide with devastating health and economic consequences, particularly in developing countries. Inter-patient variations in anti-cancer drug responses ... -
3D bioprinting of engineered breast cancer constructs for personalized and targeted cancer therapy
( Elsevier B.V. , 2021 , Article)The bioprinting technique with specialized tissue production allows the study of biological, physiological, and behavioral changes of cancerous and non-cancerous tissues in response to pharmacological compounds in personalized ... -
3D capture techniques for BIM enabled LCM
( Springer New York LLC , 2016 , Conference)As a special kind of Product Life cyle Management (PLM), Building Life cycle Management (BLM) is a centric activity for facility owners and managers. This fact motivates the adoption of Building Information Modeling (BIM) ... -
3D characterization of sand particle-to-particle contact and morphology
( Elsevier Ltd , 2016 , Article)Particle morphology, orientation, and contact configuration play a significant role in the engineering properties of granular materials. Accurate three-dimensional (3D) characterization of these parameters for experiments ... -
3D dynamic displacement-field measurement for structural health monitoring using inexpensive RGB-D based sensor
( Institute of Physics Publishing , 2017 , Article)The advent of inexpensive digital cameras with depth sensing capabilities (RGB-D cameras) has opened the door to numerous useful applications that need quantitative measures of dynamic fields whose simultaneous time history ... -
3D FEM Model on the Parameters' Influence of EPB-TBM on Settlements of Single and Twin Metro Tunnels During Construction
( Springer , 2022 , Article)The present research exposes the investigation on three-dimensional modeling of the single and twin metro tunnels for the case of the Tehran metro line. At first, simulation implemented on the comparison of the ground ... -
3D Gaussian Descriptor for Video-based Person Re-Identification
( Vaclav Skala Union Agency , 2019 , Conference)Despite being often considered less challenging than image-based person re-identification (re-id), video-based person re-id is still appealing as it mimics a more realistic scenario owing to the availability of pedestrian ...
