Hybrid methodology-based energy management of microgrid with grid-isolated electric vehicle charging system in smart distribution network

K Kalaiselvan, R Saravanan, B Adhavan… - Electrical …, 2024 - Springer
The integration of renewable energy sources (RESs) and smart power system has turned
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 …

[PDF][PDF] Future Technology Development Using VIKOR Method

M Ramachandran, K Ramu, C Sivaji, C Raja - Technology, 2023 - academia.edu
Future Technology Development. Future technologies could consist of tangible objects like
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 …

[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 …

[PDF][PDF] The survey of GSM Wireless Data Communication System using the SPSS Method

P Nanjundan, M Ramachandran, M Selvam… - Technology, 2023 - researchgate.net
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 …

[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 …

[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 …

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 …

[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 …