Advances in Information Sciences and Applications II
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".
Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 6317
Special Issue Editor
Interests: artificial intelligence; machine learning; neural architecture design; feature engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the rapid advancement of artificial intelligence, information science has once again proved its importance as a core technique for realizing effective, efficient, and robust intelligent systems. Additionally, the information techniques frequently used for the purposes of analysis purposes, such as optimizing artificial neural networks' generalization performance, has also impacted across the entire processing pipeline for transforming data into information such as data preparation, preprocessing, modeling, analysis, interpretation, and evaluation. As a result, they play essential roles in diverse fields relating information sciences such as intelligent systems, genetic algorithms and modeling, expert and decision support systems, bioinformatics, self-adaptation systems, self-organizational systems, data engineering, data fusion, perceptions and pattern recognition, and text processing. This Special Issue aims to solicit and publish papers that provide a clear view of state-of-the-art research activities in information sciences and diverse backgrounds in engineering, mathematics, statistics, computer science, biology, cognitive science, neurobiology, behavioral sciences, and biochemistry. We encourage submissions in areas including, but not limited to:
- Data Preparation, Preprocessing, and Transformation: Data cleansing, data normalization, data quantization, data fusion, missing value treatment, feature creation, feature selection, feature extraction, imbalance data treatment;
- Search, Optimization, and Planning: Metaheuristic algorithms and modeling, hybrid search algorithms, combinatorial optimization, adaptive and supervisory control, self-adaptation and self-organizational systems, mobile robot path planning;
- Modeling, Learning, and Analysis: Supervised learning, unsupervised learning, reinforcement learning, metric learning, transfer learning, federated learning, neural architecture search and design, network compression and quantization, symbolic and statistical learning, ensemble system, error optimization;
- The measure of Information, Dependency, and Uncertainty: Kullback-Leibler divergence, Renyi entropy, cross-entropy, Tsallis entropy, differential entropy, mutual information, interaction information, normalized mutual information, symmetric uncertainty.
- Applications: Manufacturing, automation robots, mobile robots, virtual reality, image processing systems, computer vision systems, genomics and bioinformatics, language engine design, human–computer interface, text abstraction, text summarization, finance and economics modeling.
Prof. Dr. Jaesung Lee
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- information science
- data preprocessing
- search and optimization
- machine learning
- deep learning
- reinforcement learning
- statistical modeling
- interpretation
- evaluation
- information-based application
- measure of information
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Related Special Issue
- Advances in Information Sciences and Applications in Entropy (16 articles)