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Efficient residential load forecasting using deep learning approach
R Mubashar, MJ Awan, M Ahsan… - International …, 2022 - inderscienceonline.com
Reliable and efficient working of smart grids depends on smart meters that are used for
tracking electricity usage and provides' accurate, granular information that can be used for …
tracking electricity usage and provides' accurate, granular information that can be used for …
[Retracted] Analysis of Enterprise Human Resources Demand Forecast Model Based on SOM Neural Network
J Zheng, R Ma - Computational Intelligence and Neuroscience, 2021 - Wiley Online Library
Human resource planning is the prerequisite of human resource management, and the
basic work of human resource planning is to predict human resource demand. Scientific and …
basic work of human resource planning is to predict human resource demand. Scientific and …
A deep learning approach for loan default prediction using imbalanced dataset
Lending institutions face key challenges in making accurate predictions of loan defaults.
Large sums of money given as loans are defaulted and this causes a substantial loss in …
Large sums of money given as loans are defaulted and this causes a substantial loss in …
[PDF][PDF] Analyzing energy consumption in universities: a literature review
This study investigates energy consumption in general and in universities in particular. A
literature review was used as the methodology of the study to show the energy consumption …
literature review was used as the methodology of the study to show the energy consumption …
Self-attention based sentiment analysis with effective embedding techniques
The problem of sparse vector representation exists in handling the large-scale data and also
semantics of words are not considered in many existing works of sentiment analysis …
semantics of words are not considered in many existing works of sentiment analysis …
Maximum power production operation of doubly fed induction generator wind turbine using adaptive neural network and conventional controllers
HH Ali, GSE Basuony… - International Journal of …, 2021 - inderscienceonline.com
Production of maximum power based on control of the Rotor Side Converter (RSC) of
Doubly Fed Induction Generator (DFIG) wind turbine direct axis current is necessary to …
Doubly Fed Induction Generator (DFIG) wind turbine direct axis current is necessary to …
Achieving Cost Optimization for Tenant Task Placement in Geo-Distributed Clouds
Cloud infrastructure has gradually displayed a tendency of geographical distribution in order
to provide anywhere, anytime connectivity to tenants all over the world. The tenant task …
to provide anywhere, anytime connectivity to tenants all over the world. The tenant task …
Smart Irrigation Systems: Soil Monitoring and Disease Detection for Precision Agriculture
P Peddi, A Dasgupta… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Smart farming is an evolving concept in the field of information and communications
technology. In this, the IoT sensors and image processing is used to establish transparent …
technology. In this, the IoT sensors and image processing is used to establish transparent …
Energy-efficient SRAM cell design
B Raj - Sustainable Energy and Fuels, 2025 - taylorfrancis.com
This chapter presents static random access memory (SRAM) cell design for low power
applications. It is well known that the mathematical modeling and manual computations of …
applications. It is well known that the mathematical modeling and manual computations of …
[PDF][PDF] An mlops platform comparison
L Faubel - 2024 - d-nb.info
While many companies aim to use Machine Learning (ML) models, transitioning to
deployment and practical application of such models can be very time-consuming and …
deployment and practical application of such models can be very time-consuming and …