An efficient hybrid job scheduling optimization (EHJSO) approach to enhance resource search using Cuckoo and Grey Wolf Job Optimization for cloud environment
Cloud computing has now evolved as an unavoidable technology in the fields of finance,
education, internet business, and nearly all organisations. The cloud resources are …
education, internet business, and nearly all organisations. The cloud resources are …
Appling an Improved Method Based on ARIMA Model to Predict the Short‐Term Electricity Consumption Transmitted by the Internet of Things (IoT)
N Guo, W Chen, M Wang, Z Tian… - … and Mobile Computing, 2021 - Wiley Online Library
The rapid development of the Internet of Things (IoT) has brought a data explosion and a
new set of challenges. It has been an emergency to construct a more robust and precise …
new set of challenges. It has been an emergency to construct a more robust and precise …
Generative Adversarial Networks (GAN) and HDFS-Based Realtime Traffic Forecasting System Using CCTV Surveillance
P Devadhas Sujakumari, P Dassan - Symmetry, 2023 - mdpi.com
The most crucial component of any smart city traffic management system is traffic flow
prediction. It can assist a driver in selecting the most efficient route to their destination. The …
prediction. It can assist a driver in selecting the most efficient route to their destination. The …
Academic Topics Related to Household Energy Consumption Using the Future Sign Detection Technique
M Kim, C Park - Energies, 2021 - mdpi.com
With the emergence of new technologies and policies to transition to clean energy, the
household energy consumption sector is also changing. In response to policy …
household energy consumption sector is also changing. In response to policy …
Building energy consumption prediction based on temporal-aware attention and energy consumption states
Accurate energy consumption prediction helps to achieve more reasonable power system
design, and is of great significance to energy saving and power safety. As the main input …
design, and is of great significance to energy saving and power safety. As the main input …
Internet of Things Assisted Solid Biofuel Classification Using Sailfish Optimizer Hybrid Deep Learning Model for Smart Cities
M Ragab, AO Khadidos, AM Alshareef, KH Alyoubi… - Sustainability, 2023 - mdpi.com
Solid biofuels and Internet of Things (IoT) technologies play a vital role in the development
of smart cities. Solid biofuels are a renewable and sustainable source of energy obtained …
of smart cities. Solid biofuels are a renewable and sustainable source of energy obtained …
An ANN Model to Predict Select Performance Measures for Job Scheduling System.
The purpose of this work is to design and develop an artificial neural network (ANN) model
for prediction of the select performance measures (PMs) of a single machine job scheduling …
for prediction of the select performance measures (PMs) of a single machine job scheduling …
Mitigating Ransomware Attacks through Cyber Threat Intelligence and Machine Learning: Survey
Lately, the rise of the Internet has led to a surge in the occurrences of ransomware attacks
targeting individuals and organizations. Thus, developing a relevant detection system …
targeting individuals and organizations. Thus, developing a relevant detection system …
Modelling of Home Appliances Using Fuzzy Controller in Achieving Energy Consumption and Cost Reduction
While home energy prices keep rising, homeowners nowadays are searching for the right
options to reduce their electricity bills. Besides, the increase in power consumption can …
options to reduce their electricity bills. Besides, the increase in power consumption can …
A Novel Ensemble Classifier Framework to Preprocess, Learn and Predict Imbalanced Heterogeneous Drifted Data Stream
D Paulraj - 2023 Second International Conference on …, 2023 - ieeexplore.ieee.org
Organizations nowadays are producing huge size of data stream, whose velocity is extra-
ordinary, at a rapid speed. Mining data on stream data is a topic of great interest to the …
ordinary, at a rapid speed. Mining data on stream data is a topic of great interest to the …