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Now showing items 31-40 of 48
A Metrics-Based Model for Estimating the Maintenance Effort of Python Software
(2023-05)
Software project management includes a substantial area for estimating software maintenance effort. Estimation of software maintenance effort improves the overall performance and efficiency of software. The Constructive ...
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 ...
Detection of Visual Similarity Snooping Attacks in Emails using an Extended Client Based Technique
(2021-04)
This paper provides an Extended Client Based Technique (ECBT) that performs classification on emails using the Bayessian classifier that attain in-depth defense by performing textual analysis on email messages and attachment ...
A Systematic Literature Review of Meta-Learning Models for Classification Tasks
(International Journal of Computer Applications Technology and Research Volume 11–Issue 03, 56-65, 2022)
: Meta-learning is a field of learning that aims at addressing the challenges of conventional machine learning approaches
such as learning from scratch for every new task. The main aim of this study was to do a systematic ...
Using Feature Selection Methods to Discover Common Users’ Preferences for Online Recommender Systems
(2021-01)
Recommender systems have taken over user’s choice to choose the items/services they want from online markets, where lots of merchandise is traded. Collaborative filtering-based recommender systems uses user opinions and ...
Internet of Things Based Model For Identifying Pediatric Emergency Cases
(2021-08)
Pediatric emergency cases need rapid systems that measure vital body parameters data, analyze and categorize emergency cases for precise action. Current systems use manual examination resulting in delayed medication, death, ...
An Effort Estimation Method for Service-Oriented Architecture
(2020-10-16)
Determining size and effort of SOA systems is critical for managing SOA projects. As a consequence, a number of methods have been proposed to estimate effort of building SOA projects but the problem of estimating SOA ...