The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on artificial intelligence — from AI-driven business decision-making and disaster risk management to systematic literature reviews of AI adoption across industries.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026
The artistic style of a painting can be sensed by the average observer, but algorithmically classifying the artistic style of an artwork is a difficult problem. The recently introduced neural-style algorithm uses feature…
We introduce the PseudoGravity tool, an automated social media system that establishes a social media presence in the area of interest of a target audience, identifies target users that are open to connect, engages with…
In the natural world, many species amplify their intellectual abilities by working together in closed-loop systems. Known as Swarm Intelligence (SI), this process has been deeply studied in schools of fish, flocks of bi…
Objective exams (OE) plays a major role in educational assessment as well as in electronic learning. The main problem in the traditional system of exams is a low quality of questions caused by some human factors, such as…
In this era and in the future, artificially intelligent machines are replacing and playing a key role to enhance human capabilities in many areas. It is also making life style better by providing convenience to all inclu…
This paper represents basic discussion for one of the latest advances in the technology, known as Intelligent User Interface (IIUI) which is a combination of two major fields of computer science, namely, HCI & Artificial…
In this paper, an attempt has been made to solve the word tile puzzle with the help of Bee Colony Algorithm, in order to find maximum number of words by moving a tile up, down, right or left. Bee Colony Algorithm is a ty…
Case-based reasoning (CBR) based on the memory-centered cognitive model is a strategy that focuses on how people learn a new skill or how they generate hypothesis on new situations based on their past experiences. Among…
The medical image processing process is one of the most important areas of research in medical applications in digitized medical information. A medical images have a large sizes. Since the coming of digital medical infor…
Boosting is a well known and efficient technique for constructing a classifier ensemble. An ensemble is built incrementally by altering the distribution of training data set and forcing learners to focus on misclassifica…
