Journal Guide

Information & Functional Materials (IFM) is a single-anonymized, peer-reviewed, international, and cross-disciplinary open access journal, publishing reviews, research papers, perspective, and short communications related to information and functional materials, within the scopes of semiconductor materials, metal materials, ceramics, soft materials, and composites etc. for various applications.

Information Discovery and Delivery explores information discovery and access for digital information researchers. This includes educators, knowledge professionals in education and cultural organisations, knowledge managers in media, health care and government, as well as librarians.

IEP is an international journal that aims to publish peer-reviewed policy-oriented research about the production, distribution and use of information, including these subjects: the economics of the telecommunications, mass media, and other information industries, the economics of innovation and intellectual property, the role of information in economic development, and the role of information and information technology in the functioning of markets.The purpose of the journal is to provide an interdisciplinary and international forum for theoretical and empirical research that addresses the needs of other researchers, government, and professionals who are involved in the policy-making process. IEP publishes research papers, short contributions, and surveys.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

The journal is intended to present within a single forum all of the developments in the field of multi-sensor, multi-source, multi-process information fusion and thereby promote the synergism among the many disciplines that are contributing to its growth. The journal is the premier vehicle for disseminating information on all aspects of research and development in the field of information fusion. Articles are expected to emphasize one or more of the three facets: architectures, algorithms, and applications. Papers dealing with fundamental theoretical analyses as well as those demonstrating their application to real-world problems will be welcome. The journal publishes original papers, letters to the Editors and from time to time invited review articles, in all areas related to the information fusion arena including, but not limited to, the following suggested topics:• Data/Image, Feature, Decision, and Multilevel Fusion • Multi-classifier/Decision Systems• Multi-Look Temporal Fusion• Multi-Sensor, Multi-Source Fusion System Architectures• Distributed and Wireless Sensor Networks• Higher Level Fusion Topics Including Situation Awareness And Management • Multi-Sensor Management and Real-Time Applications• Adaptive And Self-Improving Fusion System Architectures• Active, Passive, And Mixed Sensor Suites• Multi-Sensor And Distributed Sensor System Design• Fusion Learning In Imperfect, Imprecise And Incomplete Environments• Intelligent Techniques For Fusion Processing• Fusion System Design And Algorithmic Issues• Fusion System Computational Resources and Demands Optimization• Special Purpose Hardware Dedicated To Fusion Applications• Mining Remotely Sensed Multi-Spectral/Hyper-Spectral Image Data Bases• Information Fusion Applications in Intrusion Detection, Network Security, Information Security and Assurance arena• Applications such as Robotics, Space, Bio-medical, Transportation, Economics, and Financial Information Systems• Real-World Issues such as Computational Demands, Real-Time Constraints in the context of Fusion systems.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

The aim of Information Processing Letters is to allow rapid dissemination of interesting results in the field of information processing in the form of short, concise papers. To this end, submissions should not exceed the equivalent of nine A4 or 81/2–by–11 double–spaced typed pages. The scope of the journal is indicated by the list of keywords found below. This list is periodically updated by inserting items most frequently proposed by the contributors and removing the least popular entries, under the advisement of the Board of Editors. Submissions are encouraged both on theoretical work and on experimental work.The scope of IPL is suggested by the following alphabetical list of keywords:Algorithms – analysis of algorithms – approximation algorithms – automatic theorem proving – combinatorial problems – compilers – computational complexity – computational geometry – concurrency – cryptography – databases – data structures – design of algorithms – distributed computing – distributed systems – fault tolerance – formal languages – formal methods – formal semantics – functional programming – graph algorithms – information retrieval – interconnection networks – on-line algorithms – operating systems – parallel algorithms – parallel processing – performance evaluation – program correctness – program derivation – programming calculi – programming languages – program specification – randomized algorithms – real–time systems – safety/security in digital systems – scheduling – software design and implementation – software engineering – specification languages – theory of computation.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

Information Processing & Management is devoted to refereed reporting of:1. Basic and applied research in information science, computer science, cognitive science and related areas that deals with: the generation, representation, organization, storage, retrieval, and use of information; the nature, manifestations, behavior, and effects of information and knowledge; communication and distribution of information and knowledge; and human information behavior.2. Experimental and advanced processes, related to: information retrieval (IR); digital libraries; knowledge organization and distribution; digitized contents - text, image, sound and multimedia processing; and human-computer interfaces in information systems. Implementations in information retrieval systems and a variety of information systems, networks, and contexts. Related evaluation.3. Management of information resources, services, systems and networks, and digital libraries. Related studies of the economics of information and the principles of information management.The aim is to provide an international forum for advanced works and critical analysis in these interdependent and interdisciplinary areas. Invited are original papers and critical reviews of trends reporting on:• Progress in the theory, principles, and procedures in information processing, particularly involving information retrieval; search engines; knowledge and distributed intelligence; information representation, classification, extraction, filtering and summarization; question answering; information navigation, browsing and visualization; and human-computer interaction in information systems.• Research on the formal characteristics and properties of information and knowledge and the associated processes of communication among humans and between humans and machines. Includes studies of human information needs, seeking, searching, and use; and bibliometric and infometric studies of the structural and statistical properties of information artifacts. • Modeling and evaluation of information systems performance, particularly of information retrieval systems, knowledge systems, and digital libraries. Studies of their effectiveness, efficiency, value, or impact.• Studies in management and economics of information and information systems. Use of information for decision making and problem solving.• Studies in information policies. Data and issues relevant to information policies on organizational, national, and international levels. Derivation and use of information indicators.In 2002, Elsevier launched Library Connect, a new initiative bringing together many of Elsevier's library-focused efforts. For more information about this initiative and to read or subscribe to the complimentary Library Connect Newsletter, please visit Library Connect

• Promote the use of knowledge and methods from the information processing technologies in the agriculture;
• Illustrate the experiences and publications of the institutes, universities and government, and also the profitable technologies on agriculture;
• Provide opportunities and platform for exchanging knowledge, strategies and experiences among the researchers in information processing worldwide;
• Promote and encourage interactions among agriculture Scientists, Meteorologists, Biologists (Pathologists/Entomologists) with IT Professionals and other stakeholders to develop and implement methods, techniques, tools, and issues related to information processing technology in agriculture;
• Create and promote expert groups for development of agro-meteorological databases, crop and livestock modelling and applications for development of crop performance based decision support system.

Topics of interest include, but are not limited to:
• Smart Sensor and Wireless Sensor Network
• Remote Sensing
• Simulation, Optimization, Modeling and Automatic Control
• Decision Support Systems, Intelligent Systems and Artificial Intelligence
• Computer Vision and Image Processing
• Inspection and Traceability for Food Quality
• Precision Agriculture and Intelligent Instrument
• The Internet of Things and Cloud Computing
• Big Data and Data Mining