Browse Items (31 total)
- Collection: VOL 7 NO 5 (2023)
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A Comprehensive Bibliometric Analysis of Deep Learning Techniques for Breast Cancer Segmentation: Trends and Topic Exploration (2019-2023)
The objective of this study is to perform a comprehensive bibliometric analysis of the existing literature on breast cancer
segmentation using deep learning techniques. Data for this analysis were obtained from the Web of Science Core Collection…
segmentation using deep learning techniques. Data for this analysis were obtained from the Web of Science Core Collection…
Application of Deep Convolutional Generative Adversarial Networks to Generate Pose Invariant Facial Image Synthesis Data
Even though Artificial Intelligence is advancing, artificial intelligence can still find it difficult to solve problems that are easy
for humans to do but difficult for computers to describe, such as facial recognition. There are problems related…
for humans to do but difficult for computers to describe, such as facial recognition. There are problems related…
Classification of Secondary School Destination for Inclusive Students using Decision Tree Algorithm
Inclusive student education has become one of the most important agendas for UNESCO and the Indonesian government.
Developing inclusive children's education is critical to adjust their abilities while attending school. However, most parents and…
Developing inclusive children's education is critical to adjust their abilities while attending school. However, most parents and…
Combination of K-NN and PCA Algorithms on Image Classification of Fish Species
To do fish farming, you need to know the types of fish to be cultivated. This is because the type of fish will affect how it is
handled and managed. So, this study aims to develop an image processing system for classifying fish species, especially…
handled and managed. So, this study aims to develop an image processing system for classifying fish species, especially…
Comparative Study of Cloud Forensic Investigation Using ADAM And NIST 800-86 Methods in Private Cloud Computing
As information technology advances, the associated risks also increase, particularly in the field of private cloud computing
services. These services are subject to potential risks of internal abuse, either due to system vulnerabilities or other…
services. These services are subject to potential risks of internal abuse, either due to system vulnerabilities or other…
Comparison of Image Enhancement Methods for Diabetic Retinopathy Screening
The most common factor contributing to visual abnormalities that result in blindness is known as diabetic
retinopathy (DR). Retinal fundus scanning, a non-invasive method that is integral to the picture pre-processing
phase, can be used to…
retinopathy (DR). Retinal fundus scanning, a non-invasive method that is integral to the picture pre-processing
phase, can be used to…
Credit Risk Detection in Peer-to-Peer Lending Using CatBoost
P2P (Peer-to-peer) lending has gained popularity among private borrowers, small businesses, and MSMEs due to its ability
to provide direct access to loans without the strict requirements imposed by traditional banks and financial institutions.…
to provide direct access to loans without the strict requirements imposed by traditional banks and financial institutions.…
Critical Factors to Improve Teamwork Quality in Indonesian Startups Using aTWQ Framework
Due to the ever-changing needs of IT in today's businesses, agile software development has become popular due
to its adaptive capabilities. Startups are among those who continuously strive to meet changing needs. Despite the
potential benefits of…
to its adaptive capabilities. Startups are among those who continuously strive to meet changing needs. Despite the
potential benefits of…
Design Factors in Evaluating and Formulating IT Governance Systems in Public Organizations
The application of information technology (IT) by central and regional governments in public services is intended to efficiently
and effectively improve performance and public services. However, many studies have shown the ineffective application…
and effectively improve performance and public services. However, many studies have shown the ineffective application…
Designing A WSNs-based Smart Home Monitoring System through Deep Reinforcement Learning
Smart home system technology has developed rapidly and provides convenience for human life. Several smart
home technologies, especially monitoring systems, have been developed by integrating several aspects, including
security systems, fuzzy…
home technologies, especially monitoring systems, have been developed by integrating several aspects, including
security systems, fuzzy…