Papers | i-gat

R&D / G.S.S.C. (GAT Strategic Steering Committee) - Papers

 Community swarm optimization, Swarm intelligence for urban dynamics.
 Self-Organization Simulation over Geographical Information Systems Based on Multi-Agent Platform.
 Understanding Complex Systems.
 Automata-Based Adaptive Behavior for Economic Modelling Using Game Theory.
 Modeling Spatial Organization with Swarm Intelligence Processes.
 Swarm intelligence for urban dynamics modeling.
 Modeling Urban Services Usage with Social Insect Algorithms.
 Landscape Management Modeling within a Three-Level Swarm Intelligent Process Involving Sensors Network and Emergent Decision Making.
 Applicative issues from self-organized systems based on social insects modeling.
 Agent-based modeling using swarm intelligence in geographical information systems.
 Managing spatial self-organization via collective behaviors.
 Urban cultural dynamics modeling using swarm intelligence and geographical information systems.
 Urban Dynamics Modelling using Ant Nest Building.
 Swarm Intelligence Engineering for Spatial Organization Modelling.
 Adaptive Spatial System Emergence from Community Swarm Optimization.
 On the use of generalized derangements for Schelling's model of segregation,
 Adaptive automata community detection and clustering - A generic methodology.
 Emergent Computing for Natural and Social Complex Systems.
 Self-organization simulation over geographical information system based on multi-agent platform.
 Emerging Decision Support System for Geographical Information Systems.
 Automata- Based Adaptive Behavior for Economic Modeling Using Game Theory.
 Data Fusion for Multi-Source Imagery–A case Study of the Amman City.
 Using corpora in machine-learning ChatBot systems.
 Modelling turn-taking in a corpus-trained ChatBot.
 FAQchat as an information retrieval system.
 A ChatBot system as a tool to animate a corpus.
 A ChatBot as a novel corpus visualization tool.
 Accessing an information system by chatting.
 Machine Learning from dialogue corpora to generate Chatbots.
 Using dialogue corpora to retrain a ChatBot system.
 A comparison between ALICE and Elizabeth ChatBot systems.
 Open Learning Models and Technologies.
 A Chatbot as a natural web Interface to Arabic web QA.
 Investigating the applicability of accessibility standards For the disabled persons on educational website
 Presenting the LMS as Knowledge Management Base to Extract Information.
 Learning Management Systems: Are They Knowledge Management Tools?,
 Chatbots: Can they serve as natural language interfaces to QA corpus?
 m-Learning: the usage of WAP technology in e-learning.
 Arabic Question-Answering via Instance Based Learning from an FAQ Corpus
 Learning Management System and its Relationship with Knowledge Management.
 An AI-inspired intelligent agent/student architecture to combine language resources research and teaching
 The Relationship between Knowledge Management and e-Learning.
 Developing an Online Library System for AOU as a Knowledge Management Tool.
 Chatbots are natural web interface to information portals.
 Chatbots: are they really useful?
Integrating the Learning Management System with Mobile Technology.
 Using WAP Technology in E-learning.
 Different measurement metrics to evaluate a ChatBot system.
 Unsupervised learning of linguistic significance,
 Parallel Processing and Distributing systems.
 Integrating the Learning Management System with other Online Administrative Systems.
 New Enhancements to the Learning Management System.
 Bayesian-Based Instance Weighting For More Noise-Tolerant Instance-Based Learners.
 TDM Lexical Noise Analysis and Removal in Intelligent Search Engines.
 An Enhanced Approach for Latent Semantic Indexing Using Wavelet Transform.
 TDM Modeling and Evaluation of Different Domain Transforms for LSI.
 The Effectiveness of LSI-based Retrieval System with Image Noise.
 Latent Semantic Indexing Using Multiresolution Analysis.
 Textual Noise Analysis and Removal for Effective Search Engines.
 Performance Evaluation of DCT and Wavelet Transform for LSI.
 Empirical Study of A Novel Approach to LSI for Text Categorisation.
 A Novel Approach for Lexical Noise Analysis - Measurement in Intelligent Information Retrieval.
 Linear Time In-Place Radix Sorting.
 Towards scalable collective communication for multicomputer interconnection networks.
 On Balancing Traffic Load in Path-Based Multicast Communication.
 A New Routing Approach for Collective Communication in Interconnection Networks.
 System: Knowledge Descriptive Language for Control Applications: The Language Implementation.
 Association for Advancement of Modeling & Simulation Techniques in Enterprises (AMSE).
 VSC/QFT Robust Design of System with Bounded Uncertainties.
 Robust Design of Binary Distillation Column.
 Wireless Computer Communication.
 Disturbance Rejection Control of Bridge.
 Embedding Hamiltonian Cycles in Extended OTIS-n-Cube Networks
 Efficient fault-tolerant routing in multicomputer networks.
 Implementing FEFOM load balancing algorithm on the enhanced OTIS-n-Cube topology.
 Presenting the LMS as Knowledge Management Base to Extract Information.
 Integrating e-Learning with Mobile Technology.
 The Relationship Between Knowledge Management and e-Learning.
 Efficient Routing Algorithms on Optoelectronic Networks.
 Integrating the Learning Management System with other Online Administrative Systems.
 Quality Assurance Procedures: New Enhancements to the Learning Management System.
 Fault-Tolerant Routing Algorithm for EOC Interconnection Network.
 An Extended OTIS-Cube Interconnection Network.
 Efficient Routing Algorithm on OTIS-Star Network.
 A new fault-tolerant routing for k-ary n-cubes using Unsafety vectors.
 Fault-tolerant routing in the binary n-cube using Unsafety sets.
 Probability-based fault-tolerant routing in hypercubes.