Intelligent information systems and intelligent database systems are a very dynamically developing field in computer sciences. IJIIDS focuses on research in applications of advanced intelligent technologies for data storing/processing in a wide-ranging context, involving solutions to real-life problems in which it is necessary to apply intelligent technologies to achieve effective results. The emphasis of the reported work is on new and original research and technological developments rather than reports on the application of existing technology to different sets of data.
The International Journal of Intelligent Systems serves as a forum for individuals interested in tapping into the vast theories based on intelligent systems construction. With its peer-reviewed format, the journal explores several fascinating editorials written by today's experts in the field. Because new developments are being introduced each day, there's much to be learned ? examination, analysis creation, information retrieval, man?computer interactions, and more. The International Journal of Intelligent Systems uses charts and illustrations to demonstrate these ground-breaking issues, and encourages readers to share their thoughts and experiences.
Intelligent systems refer broadly to computer embedded or controlled systems, machines and devices that possess a certain degree of intelligence. IJISTA, a peer-reviewed double-blind refereed journal, publishes original papers featuring innovative and practical technologies related to the design and development of intelligent systems. Its coverage also includes papers on intelligent systems applications in areas such as manufacturing, bioengineering, agriculture, services, home automation and appliances, medical robots and robotic rehabilitations, space exploration, etc.
International Journal of Logistics: Research & Applications publishes original and challenging work that has a clear applicability to the business world. As a result the journal concentrates on papers of an academic journal standard but aimed at the practitioner as much as the academic. High quality contributions are therefore welcomed from both academics and professionals working in the field of logistics and supply chain management. Papers should further our understanding of logistics and supply chain management and make a significant original contribution to knowledge. In this context the term 'logistics' is taken in its broadest context as "the management of processes, flow of materials and associated information along the entire supply chain, from raw materials through to the final user of the product". The journal covers all aspects of logistics and supply chain management including, but not limited to, the topics and areas listed below:Inbound and outbound logistics including distribution, transport, warehousing, 3PL and 4PLMaterials Management MRP, DRP, ERP and Vendor or Co-Managed Inventories (VMI)Modelling and simulation of logistics and supply systems and processesDecision support tools, methods and systems such as Value Stream MappingIntra and inter enterprise communication tools and methods such as EDI, Internet, Extranet, RFID etc.Approaches and methods for Collaborative, Planning, Forecasting and Replenishment (CPFR)Customer Relationship Management (CRM), Efficient Consumer Response (ECR)Procurement, e-Commerce, e-auctionsMass Customisation, Order Postponement, ResponsivenessSupplier DevelopmentSupply chain performance managementCollaboration and relationship management approaches in the extended supply chains including supplier networksEnvironmental and sustainability issues in logistics and supply chain including Reverse LogisticsManaging international logistical operations including outsourcingTraining and Education issues in Logistics and Supply Chain ManagementResearch MethodologiesCase studiesAll published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.
The journal examines the theoretical foundations of conscious machines and analyzes current approaches to machine consciousness. It offers unity and visibility to a wide spread of research, which is now scattered throughout many diverse and often unrelated journals. The journal also allows a publication focus where scholars could present, compare and evaluate their work on machine consciousness both from the theoretical and technical side. Since the topic of machine consciousness is still highly controversial, each issue will endorse a blend of papers covering provocative theories as well as testable models. Machine consciousness is pursued for:
Cybernetics is concerned with describing complex interactions and interrelationships between systems which are omnipresent in our daily life. Machine Learning discovers fundamental functional relationships between variables and ensembles of variables in systems. The merging of the disciplines of Machine Learning and Cybernetics is aimed at the discovery of various forms of interaction between systems through diverse mechanisms of learning from data.
The International Journal of Machine Learning and Cybernetics (IJMLC) focuses on the key research problems emerging at the junction of machine learning and cybernetics and serves as a broad forum for rapid dissemination of the latest advancements in the area. The emphasis of IJMLC is on the hybrid development of machine learning and cybernetics schemes inspired by different contributing disciplines such as engineering, mathematics, cognitive sciences, and applications. New ideas, design alternatives, implementations and case studies pertaining to all the aspects of machine learning and cybernetics fall within the scope of the IJMLC. Key research areas to be covered by the journal include:Machine Learning for modeling interactions between systemsPattern Recognition technology to support discovery of system-environment interactionControl of system-environment interactions Biochemical interaction in biological and biologically-inspired systemsLearning for improvement of communication schemes between systemsMuch research has been devoted to improving manufactured product quality and manufacturing process efficiency. With recent advances in computer and network technologies, sensors, control systems and manufacturing machines, manufacturing research has progressed to a new level. In addition, new research areas in manufacturing are emerging to address problems encountered in the evolving manufacturing environment. IJMR has been established to report state-of-the-art and new developments in modern manufacturing research, and publishes innovative methodologies and solutions to problems challenging today's manufacturing operations.
IJMTM is a refereed and authoritative source of information in the field of manufacturing technology and management and related areas.