Developments in artificial intelligence (AI) and computational technology continue to open up new opportunities for solving challenges in healthcare, cybersecurity, the environment, and intelligent systems. In line with these developments, Computer Science and Information Technologies (CSIT) consistently presents the latest, relevant research.

Below is a collection of recent CSIT articles exploring a variety of research topics, from AI-based disease diagnosis and sentiment analysis using deep learning to image classification and network security.

Artificial Intelligence in Healthcare

The use of AI in healthcare is a major focus in the latest issue of CSIT. One article, reviewing developments in artificial intelligence in the diagnosis and treatment of Parkinson’s disease, provides an overview of the various AI approaches that have been developed in this field. Meanwhile, another study proposed a deep learning model based on a Convolutional Neural Network (CNN) to support more accurate brain tumor detection.

These two publications demonstrate that CSIT welcomes a wide range of scientific contributions, from review articles summarizing research developments to applied research offering computational model-based solutions.

Deep Learning for Text and Environment Analysis

The application of deep learning is also demonstrated through research on sentiment analysis and topic extraction in health insurance data. This article reviews the use of Natural Language Processing (NLP) techniques to extract insights from large amounts of text data.

In the environmental field, research on weed recognition using deep learning and seagrass species classification using CNNs in Bintan, Indonesia demonstrates how computer vision technology can be utilized to support precision agriculture, environmental conservation, and natural resource management.

The articles above reflect the diversity of research published by CSIT, both in terms of application areas, research methodologies, and types of scientific contributions.

In addition to demonstrating the breadth of the journal’s scope, this collection also showcases the participation of authors from various countries, including Indonesia, strengthening CSIT’s position as an international journal open to diverse research communities in computer science and information technology.

Find Research Inspiration at CSIT!

Expand your scientific horizons, especially in computer science and information technology!

👉 Read CSIT’s latest article collection: https://iaesprime.com/index.php/csit/issue/view/42

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