Search

Product variant generation is fundamentally different in Electrical
Computer-Aided Design (ECAD) rather than Mechanical Computer-Aided
Design (MCAD). The difference lies in the logical relationships between
ECAD...

Computer-aided engineereing (CAE) variant design design automation product configuration Fuzzy Logic cost optimization

This paper proposes a new General Type-2 Radial Basis Function Neural Network (GT2-RBFNN) that is functionally equivalent to a GT2 Fuzzy Logic System (FLS) of either Takagi-Sugeno-Kang (TSK) or Mamdani type. The neural...

α -plane representation Frequency selective surfaces Fuzzy Logic fuzzy modelling Fuzzy sets General Type-2 FLSs Iterative algorithms Radial basis function networks Radial Basis Function Neural Networks uncertainty /dk/atira/pure/subjectarea/asjc/2200/2207 name=Control and Systems Engineering /dk/atira/pure/subjectarea/asjc/1700/1703 name=Computational Theory and Mathematics /dk/atira/pure/subjectarea/asjc/1700/1702 name=Artificial Intelligence /dk/atira/pure/subjectarea/asjc/2600/2604 name=Applied Mathematics

Product variant generation is fundamentally different in Electrical
Computer-Aided Design (ECAD) rather than Mechanical Computer-Aided
Design (MCAD). The difference lies in the logical relationships between
ECAD...

Computer-aided engineereing (CAE) variant design design automation product configuration Fuzzy Logic cost optimization

BACKGROUND: Cancer typically exhibits genotypic and phenotypic heterogeneity, which can have prognostic significance and influence therapy response. Computed Tomography (CT)-based radiomic approaches calculate quantitative...

Computed tomography ovarian cancer Radiomics renal cell carcinoma Tissue-specific segmentation Unsupervised fuzzy clustering Algorithms Cluster Analysis Fuzzy Logic Image Processing Computer-Assisted Tomography X-Ray Computed Tumor Burden

This paper presents part of a multi-stage fuzzy logic controller (MS-FLC) that is developed for traffic control in congestion management on expressways. The decision-making process of traffic control for expressway congestion...

Congestion management Decision Making Fuzzy Logic Fuzzy rule base Ramp metering Traffic control /dk/atira/pure/subjectarea/asjc/3100/3109 name=Statistical and Nonlinear Physics /dk/atira/pure/subjectarea/asjc/2600/2613 name=Statistics and Probability /dk/atira/pure/sustainabledevelopmentgoals/industry_innovation_and_infrastructure name=SDG 9 - Industry, Innovation, and Infrastructure

This paper presents part of a multi-stage fuzzy logic controller (MS-FLC) that is developed for traffic control in congestion management on expressways. The decision-making process of traffic control for expressway congestion...

Congestion management Decision Making Fuzzy Logic Fuzzy rule base Ramp metering Traffic control /dk/atira/pure/subjectarea/asjc/3100/3109 name=Statistical and Nonlinear Physics /dk/atira/pure/subjectarea/asjc/2600/2613 name=Statistics and Probability /dk/atira/pure/sustainabledevelopmentgoals/industry_innovation_and_infrastructure name=SDG 9 - Industry, Innovation, and Infrastructure

Interactions between disordered proteins involve a wide range of changes in the structure and dynamics of the partners involved. These changes can be classified in terms of binding modes, which include disorder-to-order (DO)...

Algorithms Binding Sites Computational Biology Databases Protein Eukaryotic Initiation Factor-2 Fuzzy Logic Humans Intrinsically Disordered Proteins Probability Protein Binding Protein Domains Protein Folding Protein Processing Post-Translational Proteins ROC Curve Saccharomyces cerevisiae Saccharomyces cerevisiae Proteins Tumor Suppressor Protein p53 eIF-2 Kinase

This paper proposes a new General Type-2 Radial Basis Function Neural Network (GT2-RBFNN) that is functionally equivalent to a GT2 Fuzzy Logic System (FLS) of either Takagi-Sugeno-Kang (TSK) or Mamdani type. The neural...

α -plane representation Frequency selective surfaces Fuzzy Logic fuzzy modelling Fuzzy sets General Type-2 FLSs Iterative algorithms Radial basis function networks Radial Basis Function Neural Networks uncertainty /dk/atira/pure/subjectarea/asjc/2200/2207 name=Control and Systems Engineering /dk/atira/pure/subjectarea/asjc/1700/1703 name=Computational Theory and Mathematics /dk/atira/pure/subjectarea/asjc/1700/1702 name=Artificial Intelligence /dk/atira/pure/subjectarea/asjc/2600/2604 name=Applied Mathematics