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journal cover: Computational and Mathematical Biology
Computational and Mathematical Biology
Edited by Maurice Ling
ISSN 2219-1402
Click Rate 7644
Computational and Mathematical Biology is a peer-reviewed journal targeting at all aspects of theoretical, methodological and tool development, testing and user evaluation of computational and mathematical tools for the modelling, visualization, analysis and interpretation of biological data at all scales from molecules and cells to populations and ecosystems. The following areas are also considered: technical and usability reviews, significant updates and improvement of available tools and methods, application of computing, applied mathematics and statistics to actual biological problems, and short reviews consolidating the state of knowledge in the area.

journal cover: Computational Intelligence for Financial Engineers
Computational Intelligence for Financial Engineers
Edited by Jimmy Zhu
ISSN 2219-5181
Click Rate 1984
Detecting trends and patterns in financial time-series has been of great interest to the finance world for decades. Intelligent computational systems have become indispensable in virtually all financial applications, from portfolio selection to proprietary trading to risk management. Financial engineering is a cross-disciplinary field which relies on computational intelligence, mathematical finance, numerical methods and computer simulations to make trading, hedging and investment decisions, as well as facilitating the risk management of those decisions. Utilising various methods, practitioners of computational finance aim to precisely determine the financial risk that certain financial instruments create.

journal cover: Human-Level Intelligence
Human-Level Intelligence
Edited by Jitesh Dundas, David Chik and Pei Wang
ISSN 2219-5173
Click Rate 3862
iConcept Pocket Journal Series: Human-Level Intelligence is a peer-reviewed journal focusing on Artificial Intelligence at and beyond Human level. Is it possible to give computer a "real" mind? If yes, then how to implement it, and what challenges are waiting for us? We invite both practical as well as theoretical papers from all areas of Artificial General Intelligence, Machine Learning, Humanoid Robotics, Computational Neuroscience, Brain studies that relate to intelligence and consciousness, as well as Philosophy of Mind. Different from other journals, we welcome new ideas or frameworks of models that stimulate discussion in a new direction, while it is optional to give details of formal experiments.

journal cover: Emerging Issues in Medical Diagnosis and Treatment
Emerging Issues in Medical Diagnosis and Treatment
Edited by this site Ltd
ISSN 2309-3528
Click Rate 3103

Emerging Issues in Medical Diagnosis and Treatment (MDT) is a peer-reviewed, open access e-journal focusing on focussing on emerging technologies in health, medicine, and biomedical research. JMDT belongs to one of the pocket journals in the iConcept Pocket Journal Series.

Pocket journal is a new concept in the academe. It discusses the major ideas/frameworks of models or recent developments in some areas, but does not require detailed or formal experiments. The papers can be viewed as experimental papers (but not newsletters). For example, a paper may: propose new research direction, announce an innovative design/model, review/survey papers/books/conferences, extend/expand a published paper (provided that both the published paper and the extended/expanded version are written by the same or similar set of authors), define a new problem (without a concrete solution) hoping for solving it by collective wisdom, etc. All work for the pocket journal should contain the following:

  • Solid motivations, i.e. why the problems are important
  • A detailed discussion on the major challenges, i.e., why existing work has not been able to solve them (yet, the paper may not necessarily need to propose a new solution)

This journal is edited by this site Ltd. Our journal policy is to publish work deemed by peer reviewers to be a coherent and sound addition to scientific knowledge and to put less emphasis on interest levels, provided that the research constitutes a useful contribution to the field.