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Now showing items 11-20 of 48
A systematic literature review on security indicators for open-source enterprise resource planning software
(2022-05)
Open-source enterprise resource planning (ERP) software has become a preferred alternative for modern organizations due to its affordable cost, availability and ease of access. Open-source software allows access to ...
A Survey of Deep Learning Solutions for Anomaly Detection in Surveillance Videos
(Asian Online Journals, 2021-10)
Deep learning has proven to be a landmark computing approach to the computer vision domain. Hence, it has been widely applied to solve complex cognitive tasks like the detection of anomalies in surveillance videos. Anomaly ...
A New Complexity Metric for UML Sequence Diagrams
(2023-01)
Object-Oriented Programming (OOP) has been promoted as a way to produce high-quality software while increasing developer productivity through code reuse. Software systems and underlying designs get more extensive and more ...
Validating Structural Metrics for BPEL Process Models
(River Publishers, 2020-10-28)
Business process models tend to get more and more complex with age, which hurts the ease with which designers can understand and modify them. Few metrics have been proposed to measure this complexity, and even fewer have ...
A Framework for Verification in Contactless Secure Physical Access Control and Authentication Systems
(2022-02)
Biometrics is one of the very popular techniques in user identification for accessing institutions and logging into attendance systems. Currently, some of the existing biometric techniques such as the use of fingerprints ...
An extended k-means cluster head selection algorithm for efficient energy consumption in wireless sensor networks
(International Journal of Network Security & Its Applications, 2023-05)
Effective use of sensor nodes’ batteries in wireless sensor networks is critical since the batteries are difficult to recharge or replace. This is closely connected to the networks’ lifespan since once the battery is used ...
Comparative Analysis of Machine Learning Algorithms Accuracy for Maize Leaf Disease Identification
(2022-03)
The number of data points predicted correctly out of the total data points is known as accuracy in image classification models. Assessment of the accuracy is very important since it compares the correct images to the ones ...
A Comparative Study of Deep Learning and Transfer Learning in Detection of Diabetic Retinopathy
(2022)
Computer vision has gained momentum in medical imaging tasks. Deep learning and Transfer learning are some of the approaches used in computer vision. The aim of this research was to do a comparative study of deep learning ...
Automated Feature Extraction from UML Images to Measure SOA Size
(2020-07)
Enormous development has been experiences in the field of text and image extraction and classification. This is due to large amount of image data that is generated as a result of document sharing for collaborative software ...
A Metrics-Based Fuzzy Logic Model for Predicting the Reusability of Object-Oriented Software
(Blue Eyes Intelligence Engineering and Sciences Publication, 2020-08)
Software reusability facilitates the engineering of new software or systems functionalities without having to start coding from scratch. This software quality provides numerous merits to the software developers including ...