International Journal of Advanced Statistics and IT&C for Economics and Life Sciences

Publishing House and Owner: Lucian Blaga University of Sibiu, Romania

The International Journal of Advanced Statistics and IT&C for Economics and Life Sciences is a peer-reviewed journal that publishes original papers in all areas of information science and life sciences. The journal publishes high-quality, peer-reviewed articles. It emphasizes a balanced coverage of both theory and practice.

The main objectives are to provide a guide to the resources in science and technology and their impact on scientific research as well as to publish large valuable information form datasets and other results.

Main subject areas suitable for publication are:

• Anatomy and Physiology
• Anthropology
• Approximate Reasoning
• Architecture Evaluations and Tools
• Artificial Intelligence
• Artificial Neural Networks
• Automation and Mobile Robots
• Behavioral Biology
• Biochemistry
• Bioinformatics
• Bionics
• Biophysics
• Biotechnology
• Cognitive Science
• Computational Intelligence
• Computer Communication Networks and Modelling
• Computer Systems
• Computer Vision Systems
• Data Engineering and Compression
• Data Fusion
• Design of Algorithms
• Developmental Biology
• Discrete Event Systems
• Ecology
• Economic Policy
• Economic Theory, Systems and Structures
• Evolutionary Biology
• Expert and Decision Support Systems
• Finance and Economics Modelling and Optimization
• Fuzzy Logic
• Genetic Algorithms and Modelling
• Genetics
• History of Economics
• Human Biology
• Human-Computer Interface
• Image Processing
• Macroeconomics
• Mathematical Linguistics
• Microeconomics
• Neurobiology
• Numeric and Statistical Techniques
• Pattern Recognition
• Public Finance and Fiscal Theory
• User-friendly Man Machine Interface
• Virtual Reality

Also articles as well as case reports, from other areas of the spectrum of science and technology.

Archiving

Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.

Plagiarism Policy

The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process.