Hybrid methodology-based energy management of microgrid with grid-isolated electric vehicle charging system in smart distribution network
The integration of renewable energy sources (RESs) and smart power system has turned
microgrids (MGs) into effective platforms for incorporating various energy sources into …
microgrids (MGs) into effective platforms for incorporating various energy sources into …
A Review on Machine Learning Methods for Workload Prediction in Cloud Computing
M Yekta, HS Shahhoseini - 2023 13th International Conference …, 2023 - ieeexplore.ieee.org
Workload prediction is one of the critical parts of resource provisioning in cloud computing
and its evolved branches such as serverless and edge computing. Effective resource …
and its evolved branches such as serverless and edge computing. Effective resource …
[PDF][PDF] Future Technology Development Using VIKOR Method
Future Technology Development. Future technologies could consist of tangible objects like
robots, drones, and wearable technology. These can occasionally be utilized as human …
robots, drones, and wearable technology. These can occasionally be utilized as human …
[HTML][HTML] DuCFF: A Dual-Channel Feature-Fusion Network for Workload Prediction in a Cloud Infrastructure
K Jia, J **ang, B Li - Electronics, 2024 - mdpi.com
Cloud infrastructures are designed to provide highly scalable, pay-as-per-use services to
meet the performance requirements of users. The workload prediction of the cloud plays a …
meet the performance requirements of users. The workload prediction of the cloud plays a …
[PDF][PDF] A Emergency Management Building Resilience Using IBM SPSS Statistics
MR ManjulaSelvam, K Ramu, C Sivaji - Building Materials and …, 2023 - academia.edu
Emergency Management, Introduction: You will learn about emergency management
throughout this four-week course, which will help you better plan for, handle, and recover …
throughout this four-week course, which will help you better plan for, handle, and recover …
[PDF][PDF] The survey of GSM Wireless Data Communication System using the SPSS Method
Wireless data communication using the radio spectrum, a technique called transmits signals
into the environment. It can be used in one-or two-way networks using Ethernet cables or …
into the environment. It can be used in one-or two-way networks using Ethernet cables or …
[PDF][PDF] An Enhancement of Tree-Structured Deep Learning Classification Through Semantic Enabled Frequency Aware Data Augmentation.
N Velusamy, J Boopathy - … Journal of Intelligent Engineering & Systems, 2023 - inass.org
Nowadays, tree-structured deep learning classifier models have been widely used in
different applications to ensure effective feature representation and learning. Amongst …
different applications to ensure effective feature representation and learning. Amongst …
[PDF][PDF] Industrial Engineering Using IBM SPSS Statistics
C Raja, M Ramachandran, P Nanjundan… - Journal on Electronic …, 2023 - researchgate.net
Industrial Engineering, Most historians agree that the Industrial Revolution is when the
profession of industrial engineering had its start. The invention, the spinning jenny, and …
profession of industrial engineering had its start. The invention, the spinning jenny, and …
A Tree-Structured Deep Learning Model for Improving Classification with Self-Adaption and Self-Learning.
N Veluswamy, J Boopathy - Mathematical Modelling of …, 2024 - search.ebscohost.com
Tree-structured deep learning classifier models are widely used in dimensional sentiment
analysis for efficient feature representation and learning. From this perspective, an …
analysis for efficient feature representation and learning. From this perspective, an …
[PDF][PDF] Evaluation of a WSM system for a smart system in agricultural systems
S Rajkumar, M Ramachandran, V Saravanan… - 2023 - researchgate.net
On the earth, there will likely be over 9 billion people, and food demand will rise by 50%. In
addition, a 10% decrease in agricultural productivity may result from climate change …
addition, a 10% decrease in agricultural productivity may result from climate change …