Machine learning methods for intrusive detection of wormhole attack in mobile ad hoc network (MANET)
A wormhole attack is a type of attack on the network layer that reflects routing protocols. The
classification is performed with several methods of machine learning consisting of K‐nearest …
classification is performed with several methods of machine learning consisting of K‐nearest …
WTD‐PSD: Presentation of Novel Feature Extraction Method Based on Discrete Wavelet Transformation and Time‐Dependent Power Spectrum Descriptors for …
A Taghavirashidizadeh, F Sharifi… - Computational …, 2022 - Wiley Online Library
Alzheimer's disease (AD) is a type of dementia that affects the elderly population. A machine
learning (ML) system has been trained to recognize particular patterns to diagnose AD using …
learning (ML) system has been trained to recognize particular patterns to diagnose AD using …
Self-supervised human activity representation for embodied cognition assessment
Physical activities, according to the embodied cognition theory, are an important
manifestation of cognitive functions. As a result, in this paper, the Activate Test of Embodied …
manifestation of cognitive functions. As a result, in this paper, the Activate Test of Embodied …
GAN-based face reconstruction for masked-face
Facial recognition and identification which play an important role in human-computer
interaction, secure authentication and criminal face recognition, are impeded by the advent …
interaction, secure authentication and criminal face recognition, are impeded by the advent …
Modeling and optimization of wind turbines in wind farms for solving multi-objective reactive power dispatch using a new hybrid scheme
Reactive Power Dispatch is one of the main problems in energy systems, particularly for the
power industry, and a multi-objective framework should be proposed to solve it. In this study …
power industry, and a multi-objective framework should be proposed to solve it. In this study …
RETRACTED: A New Hybrid Algorithm for Multi-Objective Reactive Power Planning via FACTS Devices and Renewable Wind Resources
The power system planning problem considering system loss function, voltage profile
function, the cost function of FACTS (flexible alternating current transmission system) …
function, the cost function of FACTS (flexible alternating current transmission system) …
DCNN‐GCM: A Deep CNN and Granger Causality Models for Forecasting Welfare Level of Energy‐Producing Countries and Evaluating the Relationship between …
N Hoseinbor, SN Mousavi… - … Problems in Engineering, 2022 - Wiley Online Library
From the beginning of creation, human beings have realized the importance of energy for
survival. They have always devoted a significant part of their energy to provide the required …
survival. They have always devoted a significant part of their energy to provide the required …
2D Fingertip Localization on Depth Videos Using Paired Video-to-Video Translation
We propose a two-stage pipeline and formulate 2D hand keypoint localization as a problem
of conditional video generation. The goal is to learn a mapping function from an input depth …
of conditional video generation. The goal is to learn a mapping function from an input depth …
Computational fluid dynamic simulations to improve heat transfer in shell tube heat exchangers
Improving the thermal efficiency of shell-tube heat exchangers is essential in industries
related to these heat exchangers. Installing heat transfer boosters on the side of the …
related to these heat exchangers. Installing heat transfer boosters on the side of the …
GAN-Based Domain Translation for Hand Pose Estimation and Face Reconstruction
F Farahanipad - 2022 - search.proquest.com
Deep learning solutions for hand pose estimation are now very reliant on comprehensive
datasets covering diverse camera perspectives, lighting conditions, shapes, and pose …
datasets covering diverse camera perspectives, lighting conditions, shapes, and pose …