تصفح حسب الناشر
السجلات المعروضة 1 -- 20 من 1929
-
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 ... -
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 ... -
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 ... -
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 Beamforming Based on Deep Learning for Secure Communication in 5G and beyond Wireless Networks
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)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 ... -
5G Networks Towards Smart and Sustainable Cities: A Review of Recent Developments, Applications and Future Perspectives
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)5G wireless communication systems provide massive system capacity with high data rates, very short low-latency, and ultra-high reliability, in addition to high connection density with a positive experience on smart cities ... -
5G vehicular network resource management for improving radio access through machine learning
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)The current cellular technology and vehicular networks cannot satisfy the mighty strides of vehicular network demands. Resource management has become a complex and challenging objective to gain expected outcomes in a ... -
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 ... -
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 bi-directional boost converter-based non-isolated DC-DC transformer with modular solid-state switches for medium-/high-voltage DC grids
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)In this paper, a bi-directional non-isolated dc-dc transformer is proposed, which can be used for connecting different dc voltage levels in medium-/high-voltage dc grids. The proposed dc-dc transformer is based on the ... -
A Bilingual Scene-To-Speech Mobile Based Application
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Scene-To-Speech (STS) is the process of recognizing visual objects in a picture or a video to say aloud a descriptive text that represents the scene. The recent advancement in convolution neural network (CNN), a deep ... -
A bio-inspired framework to mitigate dos attacks in software defined networking
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Software Defined Networking (SDN) is an emerging architecture providing services on a priority basis for real-time communication, by pulling out the intelligence from the hardware and developing a better management system ... -
A Bio-Inspired Slip Detection and Reflex-Like Suppression Method for Robotic Manipulators
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Robotic manipulators face significant challenges when handling objects of different sizes and shapes. Incorporating a sense of touch into these devices has the potential to improve performance and dexterity. In this paper, ... -
A boost converter-based ringing circuit with high-voltage gain for unipolar pulse generation
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)High-Voltage pulse generators are commonly used in biotechnology, medicine, industrial applications, food processing and drinking water purification. The dc-dc boost converter has been used before in pulsed applications ... -
A boost-inverter-based bipolar high-voltage pulse generator
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)Bipolar repetitive high-voltage pulse generators are commonly used in modern pulsed power applications. Conventionally, bipolar high-voltage pulses can be generated by adding a high-voltage H-bridge at the output stage of ...