Energy consumption prediction in electrical appliances of commercial buildings using LSTM-GRU model
SK Mohapatra, S Mishra… - … on Advancements in …, 2022 - ieeexplore.ieee.org
As with economic growth and urbanization, there is a significant impact on energy
consumption in residential and commercial buildings. Analyzing the energy consumption of …
consumption in residential and commercial buildings. Analyzing the energy consumption of …
Impacts of metaheuristic and swarm intelligence approach in optimization
Optimization is a searching technique by which we can find the best solution from all the
feasible solutions. There are two types of optimization problems depending up on the type of …
feasible solutions. There are two types of optimization problems depending up on the type of …
Item-based collaborative filtering using sentiment analysis of user reviews
Traditional Collaborative filtering algorithm works by using only the past experience of a
user. To overcome the limitations of the traditional collaborative algorithm, an item based …
user. To overcome the limitations of the traditional collaborative algorithm, an item based …
Portfolio Optimization for US-Based Equity Instruments Using Monte-Carlo Simulation
MPT or the modern portfolio theory, also known as mean–variance analysis, is a
mathematical modeling technique that is deployed in constructing portfolios that can …
mathematical modeling technique that is deployed in constructing portfolios that can …
Evolution of machine learning algorithms for enhancement of self-driving vehicles security
In recent years, autonomous vehicles have been a hot topic of debate. Several major
automakers, including many worldwide companies, are attempting to be pioneers in …
automakers, including many worldwide companies, are attempting to be pioneers in …
Prominent cancer risk detection using ensemble learning
S Raghuwanshi, M Singh, S Rath, S Mishra - Cognitive Informatics and …, 2022 - Springer
The technique of detection of abnormalities and anomalies in the human body is a difficulty
faced by field experts around the globe. One of those many challenges is to detect various …
faced by field experts around the globe. One of those many challenges is to detect various …
Intelligent Outlier Detection for Smart Farming Application using Deep Neural Network
N Murali, AS Kumar, A Karunamurthy… - 2022 IEEE 2nd …, 2022 - ieeexplore.ieee.org
Agriculture is backbone of India. In the emerge of human civilization, agriculture has been
an essential part of every human society due to the basic fact that the sustenance of any …
an essential part of every human society due to the basic fact that the sustenance of any …
A smart farming-based recommendation system using collaborative machine learning and image processing
S Chakraborty, S Mishra - … Informatics and Soft Computing: Proceeding of …, 2022 - Springer
Most agricultural lands get degraded due to inappropriate choice of the crops grown in the
land. Farmers don't have the complete knowledge of soil essentials such as minerals …
land. Farmers don't have the complete knowledge of soil essentials such as minerals …
Mango leaf disease detection based on deep learning approach
This study introduces a new method of disease prediction for mango leaves by breaking it
down into four main steps: preprocessing, image segmentation, feature extraction, and …
down into four main steps: preprocessing, image segmentation, feature extraction, and …
Diabetic retinopathy detection using deep learning
Diabetes is one of the hazardous diseases in present era. Diabetic retinopathy is an eye
disease which is caused due to diabetes. This condition affects the retina (blood vessels at …
disease which is caused due to diabetes. This condition affects the retina (blood vessels at …