Natario Romalho, Maria Fernanda

Queen Mary Research Online

English

A call admission control for ATM networks based on individual multiplexed traffic characteristics&quot;,

A call admission control sheme for ATM networks using a simple quality estimate&quot;,

A congestion control for the ATM&quot;, 7th ITC Specialist Seminar,

A Discrete-time single server queue with Bernoulli arrivals and constant service time&quot;,

A dual approach to solve the Fuzzy Linear Programming problem”,

A flow Management Architecture for B-ISDN&quot;,

A frequency model to assess Dempster/Shafer’s evidences”,

A fuzzy inference model based on an uncertainty forward propagation approach”,

A Fuzzy Logic based approach to Qualitative Modelling&quot;,

A genetics-based adaptive pH Fuzzy Logic Controller&quot;,

A heuristic approach for performance analysis of ATM systems&quot;,

A layered descrition of ATM cell traffic streams and correlation analysis&quot;,

A learning method of fuzzy inference rules by descendent method&quot;,

A Learning Process for Fuzzy Control Rules using Genetic Algorithms”,

A Markov Modulated Characterization of Packetized Voice and Data Traffic and related statistical multiplexer performance”,

A mathematical theory of evidence&quot;,

A model for generating on-off speech in two-way conversations”,

A modified Genetic Algorithm for Optimal Control problems”,

A neural based call admission control

A neuro-fuzzy approach to connection admission control

A new approach to design a fuzzy controller&quot;,

A new interpretation of schema notation that overturns the binary encoding constraint”, in [Schaf,

A non-standard Genetic Algorithm for the Nonlinear Transportation Problem”,

A novel approach to estimating the Cell Loss Probability in an ATM Multiplexer loaded with Homogeneous On-Off sources”,

A self generating and tuning method for Fuzzy Modeling using interior penalty method&quot;,

A self-learning rule-based controller employing approximate reasoning and neural net concepts”,

A self-tuning method of fuzzy reasoning by Genetic Algorithm&quot;,

A simplified dimensioning method of ATM Networks&quot;,

A theory of approximate reasoning&quot;,

A unified approximate evaluation of congestion functions for smooth and peaky traffic”,

A unifying framework for concept-learning algorithms”,

A user’s guide to GENESIS”, Navy Centre for Applied Research

A user’s guide to GENEsYs 1.0”,

A.J.Owens and M.J.Walsh, “Artificial Intelligence through Simulated Evolution”,

Adaptation in natural and artificial systems,

Adapting Operator Probabilities in Genetic Algorithms”,

Adaptive Selection Methods for Genetic Algorithms”, in [Gref,

An analysis of statistical multiplexing in an ATM transport network&quot;,

An analysis of the behaviour of a class of genetic adaptive systems”,

An empirical study of Bit Vector Function Optimisation”,

An experiment in Linguistic Synthesis with a Fuzzy Logic Controller&quot;,

An identification algorithm in fuzzy relational systems”,

An inductive learning procedure to identify fuzzy systems&quot;,

An introduction to Fuzzy Logic Applications in Intelligent Systems&quot;,

Analysis of a Fuzzy Logic Controller&quot;,

Analysis of Flexible Structured Fuzzy logic Controllers&quot;,

Applying Genetics to Fuzzy Logic&quot;,

Asynchronous Transfer Mode Networks: Performance Issues”, Artech House,

Asynchronous Transfer Mode-Options and Characteristics&quot;,

ATM communications network control by neural networks&quot;,

ATM The Broadband Telecommunication Solutions&quot;,

ATM-User Network Interface Specification”,

Auto-tuning method of fuzzy membership functions using Neural Networks learning algorithm&quot;,

Automatic generation of fuzzy inference rules by Genetic Algorithms&quot;,

Bandwidth allocation

Bandwidth Allocation Based on Real Time Calculations Using the Convolution Approach”,

Burst and cell models for ATM buffers”, in

Call admission control in an ATM network using upper bound of cell loss probability&quot;,

Cell loss ratio obtained for A.3.1 sources (C= 155.52 Mbit/s, K=27 cells).

Cell-rate simulation modelling of Asynchronous Tranfer Mode Telecommunications Networks&quot;,

Characterisation of Cell Traffic by an ATM source”,

Classification of fuzzy measures”,

Combinations of policing functions

Comparison of genetic algorithms and gradient-based optimizers on parallel processors: Efficiency of use of processing capacity

Completeness and consistency conditions for learning fuzzy rules”,

Congestion control issues and strategies associated with B-ISDN / ATM Access and Network Transport&quot;,

Crossover Operators and Offspring Selection for real coded Genetic Algorithms”,

Design of Sophisticated Fuzzy Logic Controllers Using genetic Algorithms”,

Developing a Fuzzy Logic Tool using Genetic Algorithms for Connection Admission Control in ATM Networks&quot;,

Dynamic Call Admission Control in ATM Networks&quot;,

Equivalent capacity and its application to bandwidth allocation in high-speed networks&quot;,

Evolution of ISDN towards broadband ISDN&quot;,

Evolutionstrategie: Optimierung technischer Systems nach Prinzipien der biologischen Evolution, Frommann-Holzboog Verlag,

Experiments with the Use of a Rule-based Self-Organising Controller for Robotics Applications”, Fuzzy Sets and Systems,

Extended Selection Mechanisms in Genetic Algorithms”,

Fast analysis of on-off heterogeneous traffic multiplexing with fluid-flow models and its applications to ATM&quot;,

Fast Calculation of the CAC Convolution Algorithm, using the Multinomial Distribution Function&quot;.

Final recommendation on Connection Admission Control, Usage Monitoring and Validation of control schemes&quot;,

Further results on UPC functions and Cell Delay Variation&quot;,

Fuzzy Controller design without domain experts&quot;,

Fuzzy Controllers Representation&quot;,

Fuzzy identification of systems and its application to modeling and control&quot;,

Fuzzy Logic Based Techniques for Connection Admission Control in ATM Networks&quot;,

Fuzzy Logic in Knowledge-Based Systems, Decision and Control,

Fuzzy Logic Synthesis with Genetic Algorithms”,

Fuzzy Logic Tool and Genetic Algorithms for

Fuzzy modus ponens: a new model suitable for applications in knowledgebased systems&quot;,

Fuzzy neural networks and neurocomputations”,

Fuzzy Reasoning and its Applications,

Fuzzy set methods in computer vision”, in An Introduction to Fuzzy Logic Applications in Intelligent Systems”,

Fuzzy Set Theory - and Its Applications, Kluwer Academic Publishers, Second Revised Edition,

Fuzzy sets as a basis for a theory of possibility&quot;,

Fuzzy sets in approximate reasoning&quot;, Part 1: Inference with possibility distributions,

Fuzzy sets, Decision Making and Expert Systems,

Fuzzy sets&quot;

Fuzzy Systems Theory and its Apllications,

General Aspects of Quality of Service and System Performance in IBC&quot;,

Genetic Algorithms + Data Structures = Evolution Programs”,

Genetic Algorithms and Simulated Annealing”,

Genetic Algorithms and their Applications:

Application of an automatically designed fuzzy logic decision support system to connection admission control in ATM networks

This thesis improves the GRN discovery process by integrating heuristic information via a co-regulation function, a post-processing procedure, and a Hub Network algorithm to build the backbone of the network.Doctor of Philosoph

Zarnegar, Armita

Federation ResearchOnline

Regulatory network discovery using heuristics