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Article
Surface water quality index forecasting using multivariate complementing approach reinforced with locally weighted linear regression model
River water quality management and monitoring are essential responsibilities for communities near rivers. Government decision-makers should monitor important quality factors like temperature, dissolved oxygen ...
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Article
Elevating security and disease forecasting in smart healthcare through artificial neural synchronized federated learning
Protecting patient privacy has become a top priority with the introduction of Healthcare 5.0 and the growth of the Internet of Things. This study provides a revolutionary strategy that makes use of blockchain ...
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Article
CIA Security for Internet of Vehicles and Blockchain-AI Integration
The lack of data security and the hazardous nature of the Internet of Vehicles (IoV), in the absence of networking settings, have prevented the openness and self-organization of the vehicle networks of IoV car...
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Article
Improved design and analysis of MPPT technique for photovoltaic power systems to increase accuracy and speed under different conditions
Due to the many attractions of solar energy, a lot of research is being done in research centers to improve the usefulness of photovoltaic systems (PVs). Despite the widespread use of PVs in different societie...
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Article
Performance enhancement of fuzzy-PID controller for MPPT of PV system to extract maximum power under different conditions
In this article, a maximum Power Point Tracking (MPPT) controller is designed for photovoltaic (PV) applications. This controller has been implemented with Fuzzy Gain Scheduling of Proportional–Integral–Deriva...
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Article
Optimized MPPT model for different environmental conditions to improve efficacy of a photovoltaic system
Photovoltaic (PV) technology exhibits significant potential as a form of energy due to its green characteristics. Nevertheless, the modeling of PV modules is subject to unpredictability due to the fluctuating ...
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Article
Optimal planning and operation of power grid with electric vehicles considering cost reduction
Given the ever-growing electricity consumption and environmental anxiety with the predominant usage of conventional fuels in power plants, it is crucial to explore suitable alternatives to address these issues...
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Article
Stochastic energy scheduling in microgrid with real-time and day-ahead markets in the presence of renewable energy resources
Renewable resources are a crucial component in power system research within contemporary intelligent power systems. It is imperative that they are given meticulous consideration. Microgrids (MGs) have emerged ...
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Article
A novel global MPPT technique to enhance maximum power from PV systems under variable atmospheric conditions
The study of renewable energy is expanding quickly, particularly in the areas of modeling and photovoltaic (PV) technology. The utilization of photovoltaic systems is prevalent in diverse renewable energy appl...
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Article
Open AccessComparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
Load balancing is a serious problem in cloud computing that makes it challenging to ensure the proper functioning of services contiguous to the Quality of Service, performance assessment, and compliance to the...
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Article
A novel intelligent method to increase accuracy of hybrid photovoltaic-wind system-based MPPT and pitch angle controller
The main aim of this paper is the optimal power extraction based on an intelligent structure. It is implemented through fuzzy gain scheduling of PID (FGS-PID) controller in combination with the radial basis fu...
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Article
Open AccessAn archetypal determination of mobile cloud computing for emergency applications using decision tree algorithm
Numerous users are experiencing unsafe communications due to the growth of big network mediums, where no node communication is detected in emergency scenarios. Many people find it difficult to communicate in e...
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Article
Open AccessEnhanced security using multiple paths routine scheme in cloud-MANETs
Cloud Mobile Ad-hoc Networks (Cloud-MANETs) is a framework that can access and deliver cloud services to MANET users through their smart devices. MANETs is a pool of self-organized mobile gadgets that can comm...
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Article
Maximum power point tracking technique based on variable step size with sliding mode controller in photovoltaic system
Due to the economic and technical advantages, the use of solar energy is expanding in developed countries. The extraction of maximum power in solar power plants is an important issue that requires extensive re...
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Article
Central nervous system involvement at initial diagnosis of extranodal NK/T-cell lymphoma: a retrospective study of a consecutive 12-year case series
Patients with central nervous system (CNS) involvement at initial diagnosis of extranodal NK/T-cell lymphoma (ENKTL) are exceedingly rare, and the clinicopathologic features of CNS involvement have not been we...
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Article
Open AccessA big data study of language use and impact in radio broadcasting in China
Broadcasting more educating and language-reviving contents are ways radio stations can help revitalize the use of the English language in the Hunan province of China. The challenges faced in communicating in ...
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Article
Open AccessTask scheduling in cloud environment: optimization, security prioritization and processor selection schemes
Cloud computing is an extremely important infrastructure used to perform tasks over processing units. Despite its numerous benefits, a cloud platform has several challenges preventing it from carrying out an e...
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Chapter and Conference Paper
Diagnosis of Diabetes Type Using Random Forest Algorithm and SVM for Improving Accuracy
To improve the accuracy in the detection of diabetes-type diagnosis using Random Forest Algorithm and Support Vector Method. A dataset on diabetes was collected on kaggle.com. Support vector method analysis wa...
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Chapter and Conference Paper
Junk Mail Content Detection Using Logistic Regression Algorithm
In contemporary times, things have moved away from traditional method to sophisticated way of communication via social media. One of the common ways information is disseminated amongst people is in the use of ...
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Chapter and Conference Paper
Evaluation of Text Classification Using Support Vector Machine Compare with Naive Bayes, Random Forest Decision Tree and K-NN
This paper aims to find the boost model which brings the best accuracy in text classification by using Support Vector Machine in comparison with other models namely Naive Bayes, Random Forest Decision Tree and...
