Machine learning based detection and a novel EC-BRTT algorithm based prevention of DoS attacks in wireless sensor networks

K Lakshmi Narayanan, R Santhana Krishnan… - Wireless Personal …, 2021 - Springer
Wireless sensor network allows nodes to communicate with another using wireless
channels so that it is necessary for packet delivery to the nodes. Black hole attack occurs …

[HTML][HTML] Signal-piloted processing and machine learning based efficient power quality disturbances recognition

S Mian Qaisar - PloS one, 2021 - journals.plos.org
Significant losses can occur for various smart grid stake holders due to the Power Quality
Disturbances (PQDs). Therefore, it is necessary to correctly recognize and timely mitigate …

Dissolved gas in transformer oil forecasting for transformer fault evaluation based on HATT-RLSTM

M Zhong, Y Cao, G He, L Feng, Z Tan, W Mo… - Electric Power Systems …, 2023 - Elsevier
Forecasting of dissolved gas concentration in transformer oil is important for judging the
status trend of transformer in advance. The DGA sequence prediction results of the …

[PDF][PDF] Efficient Resource Allocation in Fog Computing Using QTCS Model.

M Iyapparaja, NK Alshammari… - … Materials & Continua, 2022 - cdn.techscience.cn
Infrastructure of fog is a complex system due to the large number of heterogeneous
resources that need to be shared. The embedded devices deployed with the Internet of …

Deep learning for intelligent demand response and smart grids: A comprehensive survey

QV Pham, M Liyanage, N Deepa, M VVSS… - arXiv preprint arXiv …, 2021 - arxiv.org
Electricity is one of the mandatory commodities for mankind today. To address challenges
and issues in the transmission of electricity through the traditional grid, the concepts of smart …

[HTML][HTML] Automatic grading for Arabic short answer questions using optimized deep learning model

M Abdul Salam, MA El-Fatah, NF Hassan - Plos one, 2022 - journals.plos.org
Auto-grading of short answer questions is considered a challenging problem in the
processing of natural language. It requires a system to comprehend the free text answers to …

[HTML][HTML] Automated detection scheme for acute myocardial infarction using convolutional neural network and long short-term memory

R Muraki, A Teramoto, K Sugimoto, K Sugimoto… - PloS one, 2022 - journals.plos.org
The early detection of acute myocardial infarction, which is caused by lifestyle-related risk
factors, is essential because it can lead to chronic heart failure or sudden death …

Betalogger: Smartphone sensor-based side-channel attack detection and text inference using language modeling and dense multilayer neural network

AR Javed, SU Rehman, MU Khan, M Alazab… - Transactions on Asian …, 2021 - dl.acm.org
With the recent advancement of smartphone technology in the past few years, smartphone
usage has increased on a tremendous scale due to its portability and ability to perform many …

[图书][B] 6G Frontiers: Towards Future Wireless Systems

C De Alwis, QV Pham, M Liyanage - 2022 - books.google.com
6G Frontiers Enables readers to understand the exciting new technologies, architectural
directions, technical aspects, and applications of 6G, plus legal and standardization …

[HTML][HTML] A comprehensive analysis of smart grid stability prediction along with explainable artificial intelligence

F Ucar - Symmetry, 2023 - mdpi.com
As the backbone of modern society and industry, the need for a more efficient and
sustainable electrical grid is crucial for proper energy management. Governments have …