Search
Now showing items 411-420 of 545
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
(
Springer Science and Business Media Deutschland GmbH
, 2020 , Conference Paper)
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint. However, there are few algorithms focusing ...
Artificial Bee Colony Based Solar PV System with Z-Source Multilevel Inverter
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
In recent days there is a great advancement takes place in the field of power conversion. There are so many novel converters are in practice whose performance is very good and that's why they attract the users for its ...
Cascaded Buck-Boost Derived Interlink Multi-port Converter for simultaneous operation of isolated and non-isolated Loads in a DC Nanogrid
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
The primary objective of the Multi-Port Converter (MPC) is to offer a single-stage power conversion that integrates energy sources and loads in the most efficient manner while minimizing the power density and cost. The ...
Data Augmentation for Intrusion Detection and Classification in Cloud Networks
(
IEEE
, 2021 , Conference Paper)
Cloud computing is a paradigm that provides multiple services over the internet with high flexibility in a cost-effective way. However, the growth of cloud-based services comes with major security issues. Recently, machine ...
An Agile Black-Out Detection and Response Paradigm in Smart Grids Incorporating IoT-Oriented Initiatives and Fog-Computing Platform
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Voltage and frequency stability are fundamental subjects for power system operators. There are unwanted faults and factors, which affect the stability of the system and may result in a major instability (blackout). Thereby, ...
Attention-Based Model for Accurate Stance Detection
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Effective representation learning is an essential building block for achieving many natural language processing tasks such as stance detection as performed implicitly by humans. Stance detection can assist in understanding ...
On physical layer security of correlated multiantenna cognitive radio receivers
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
In limited space scenarios, the antennas in the multiantenna cognitive radio (CR) system are closely spaced and often experience correlation among them. In this work, the secrecy performance of correlated multiantenna CR ...
Detecting Attackers during Quantum Key Distribution in IoT Networks using Neural Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Internet of Things (IoT) deployments face significant security challenges due to the limited energy and computational power of IoT devices. These challenges are more serious in the quantum communications era, where certain ...
Efficient multi-descriptor fusion for non-intrusive appliance recognition
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Consciousness about power consumption at the appliance level can assist user in promoting energy efficiency in households. In this paper, a superior non-intrusive appliance recognition method that can provide particular ...
Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Automatic classification of speech commands has revolutionized human computer interactions in robotic applications. However, employed recognition models usually follow the methodology of deep learning with complicated ...