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Machine Learning Load Balancing Techniques in Cloud Computing: A Review
(2022-06)
Load balancing (LB) is the process of distributing the workload fairly across the servers within the cloud environment or within distributed computing resources. Workload includes processor load, network traffic and storage ...
Trust-Based Security Technique to Curb Cooperative Blackhole Attacks in Mobile Ad Hoc Networks using OTB-DSR Protocol in NS-3
(Global Journals, 2020-12)
The advent of mobile technology led to the emergence of Mobile Ad-hoc networks
(MANETs). These networks have no infrastructure and central authority. Nodes in MANETs act as both routers and hosts. MANET nodes join and ...
Blockchain as a Solution of Information Security and Data Privacy Issues: Review
(2022-08)
The growth of technology has seen development of smart devices that are connected to each other giving rise to device-mesh technology. This has given rise to many owners of these devices sharing data through various web ...
Cloud Data Privacy Preserving Model for Health Information Systems Based on Multi Factor Authentication
(2020-09)
With cloud computing (CC) becoming popular in recent years, variety of institutions, organizations, businesses and individual users are creating interest. They are adopting the technology in order to take advantage of ...
Simulation of Trust-Based Mechanism for Enhancing User Confidence in Mobile Crowdsensing Systems
(2020-01)
With the rapid development of mobile technology and subsequent mass adoption of mobile devices, mobile crowdsensing (MCS) has gained a lot of research attention. In MCS systems, trust is a key focus in the overall improvement ...
Implementation of AI-based assistive technologies for learners with physical disabilities in Kenya: a practical design thinking approach
(African Journal of Science, Technology and Social Sciences (AJSTSS), 2022-06)
Inclusion of Learners with disabilities continues to extensively rely on digital and Artificial Intelligence (AI) enabled Assistive Technologies (AT) as enablers for teaching and learning. However, the provision of ATs to ...
Research Methods in Machine Learning: A Content Analysis
(2021-03)
Research methods in machine learning play a pivotal role since the accuracy and reliability of the results are influenced by the research methods used. The main aims of this paper were to explore current research methods ...
Complexity Metrics for Statechart Diagrams
(2022-05)
Model-Driven Development and the Model-Driven Architecture paradigm have in the recent past been emphasizing on the importance of good models. In the Object-Oriented paradigm one of the key artefacts are the Statechart ...
Developing Hybrid-Based Recommender System with Naïve Bayes Optimization to Increase Prediction Efficiency
(2021-03)
Commerce and entertainment world today have shifted to the digital platforms where customer preferences are suggested by recommender systems. Recommendations have been made using a variety of methods such as content-based, ...
Cluster Head Selection Algorithms for Enhanced Energy Efficiency in Wireless Sensor Networks: A Systematic Literature Review
(2022-06)
The extension of the sensor node's life span is an essential requirement in a Wireless Sensor Network. Cluster head selection algorithms undertake the task of cluster head election and rotation among nodes, and this has ...