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Results: 13
Optimization of Unit Commitment Problem Using Genetic Algorithm
The main objective of the paper is to minimize the use of conventional generators and optimize the fuel cost. To minimize the use of conventional generators, solar thermal power plant (STPP) is proposed in this paper. An...
Published by: IGI Global
Dynamic Combined Economic Emission Dispatch Including Wind Generators by Real Coded Genetic Algorithm
With the growing environmental depletion, the shift in the focus towards minimizing the emissions of gases released in the conventional generators and further incorporation of a cleaner alternate renewable source of energy such...
Published by: IGI Global
Short-Term Load Forecasting for a Captive Power Plant Using Artificial Neural Network
The irregularity of Indian grid system increases, with increase in the power demand. The quality of power supplied by the power grid is also poor due to continuous variation in frequency and voltage. To overcome this problem of...
Published by: IGI Global
The Novel Multi-Layered Approach to Enhance the Sorting Performance of Healthcare Analysis
Emergence of big data in today’s world leads to new challenges for sorting strategies to analyze the data in a better way. For most of the analyzing technique, sorting is considered as an implicit attribute of the technique...
Published by: IGI Global
Analysis of Heart Disease Using Parallel and Sequential Ensemble Methods With Feature Selection Techniques
This paper has organized a heart disease-related dataset from UCI repository. The organized dataset describes variables correlations with class-level target variables. This experiment has analyzed the variables by different...
Published by: IGI Global
Can Perceived Ease of Use Improve M-Commerce Adoption?
In India, e-commerce sector is rising at an enormous pace, but even larger share is in the hands of offline retailers till now. A unique type of consumer behaviour has been seen because of the simple accessibility of the...
Published by: IGI Global
An In Silico QSAR Model Study Using Electrophilicity as a Possible Descriptor Against T. Brucei
Human African trypanosomiasis (HAT) is a vector-borne sleeping sickness parasitic disease spread through the bite of infected tsetse flies (Glossina genus), which is highly populated in rural Africa. The present study...
Published by: IGI Global
Exploring the Dynamics of Justification in the Wake of a Rumor Outbreak on Social Media
This paper explores the dynamics of justification in the wake of a rumor outbreak on social media. Specifically, it examines the extent to which the five types of justification—descriptive argumentation, presumptive...
Published by: IGI Global
Sentiment Analysis of Multilingual Tweets Based on Natural Language Processing (NLP)
Multilingual Sentiment analysis plays an important role in a country like India with many languages as the style of expression varies in different languages. The Indian people speak in total 22 different languages and with the...
Published by: IGI Global
Study on Brain Tumor Classification Through MRI Images Using a Deep Convolutional Neural Network
Brain tumor (Glioma) is one of the deadliest diseases that attack humans, now even men or women aged 20-30 are suffering from this disease. To cure tumor in a person, doctors use MRI machine, because the results of MRI images...
Published by: IGI Global
How Do Digital Market Platform Hosts Exercise Control Over Sellers?
High speed connectivity, smart mobile devices, social media, and rapidly-proliferating end-user applications have given rise to digital markets. This paper investigates how digital market hosts exercise control over sellers. The...
Published by: IGI Global
Detecting Sinkhole Attacks in IoT-Based Wireless Sensor Networks Using Distance From Base Station
Wireless sensor networks (WSNs) are infrastructure-less in nature, which contains numbers of autonomous sensor nodes. These sensor nodes are dedicated to monitoring the physical conditions of the environment and are organizing...
Published by: IGI Global