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NeuroSymbolicPhishDefend for adaptive multimodal phishing detection against evolving artificial intelligence driven threats. [PDF]
Sci RepLakshmi G, Swetha P.
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2009 30th IEEE Real-Time Systems Symposium, 2009
A key feature of control systems is robustness, the property that small perturbations in the system inputs cause only small changes in its outputs. Robustness is key to designing systems that work under uncertain or imprecise environments. While continuous control design algorithms can explicitly incorporate robustness as a design goal, it is not clear
Rupak Majumdar, Indranil Saha 0001
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A key feature of control systems is robustness, the property that small perturbations in the system inputs cause only small changes in its outputs. Robustness is key to designing systems that work under uncertain or imprecise environments. While continuous control design algorithms can explicitly incorporate robustness as a design goal, it is not clear
Rupak Majumdar, Indranil Saha 0001
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Symbolic kernel discriminant analysis
Computational Statistics, 1998Kernel density estimation is a tool which allows the statistician to construct a density on any sample of data without any prior probabilistic hypothesis. These methods compute a weighted sum of kernels centered on each data point. Examples of kernel density estimations are to be found essentially for quantitative (discrete or continuous) and ...
Rasson, Jean-Paul, Lissoir, Sandrine
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Symbolic Evaluation and the Analysis of Programs
IEEE Transactions on Software Engineering, 1979Symbolic evaluation is a form of static program analysis in which symbolic expressions are used to denote the values of program variables and computations. It does not require the user to specify which path at a conditional branch to follow nor how many cycles of a loop to consider.
Thomas E. Cheatham Jr. +2 more
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Symbolic Vector and Dyadic Analysis
SIAM Journal on Computing, 1979A computer program is described which performs symbolic algebra and calculus with vectors and dyadics. Implemented on the MACSYMA algebraic manipulation system, it is intended to be a reasonably complete analysis system for applications such as plasma physics and fluid dynamics. It includes manipulations of dot and cross products; gradient, divergence,
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Applications of symbolic network analysis
Proceedings of Third International Conference on Electronics, Circuits, and Systems, 2002Symbolic network analysis is a formal technique, complementary to numerical analysis, to calculate the behaviour or a characteristic of a circuit with independent variable frequency, dependent variables voltages and currents and some or all of the circuit elements represented by symbols.
Marina Dana Topa, Emil Simion
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Symbolic analysis of linear polyhedra
Engineering with Computers, 1990This paper concerns several analytical problems related to linear polyhedra in euclidean three-dimensional-space. Symbolic formulas for line, surface, and volume integration are given, and it is shown that domain integrals are computable in polynomial time.
CATTANI, Carlo, Alberto Paoluzzi
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Symbolic analysis of planar drawings
1989A method is described for performing a symbolic analysis of planar drawings. The method takes input in the form of a dimensioned (i.e. labeled) drawing and determines whether the coordinates of all of the points in the drawing can be uniquely written in terms of the specified labels.
Philip H. Todd, George W. Cherry
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