Assessing and Regenerating Proposed GIS Grid-based Geospatial Modeling Algorithms [PDF]
This research is a new attempt to purify the modeling concepts from some misleading geographical published papers and unpublished M.A. theses & Ph.D. dissertations that dealt with grid-based spatial modeling irrationally.
Nermin Shoukry
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Current approaches for the prospective regulatory assessment of chemicals do not account sufficiently for elevated mixture risks. The Mixture Assessment Factor (MAF, better labeled a Mixture Allocation Factor) has been suggested for mixtures of ...
Thomas Backhaus
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ITERATE: a conceptual clustering algorithm for data mining [PDF]
The data exploration task can be divided into three interrelated subtasks: 1) feature selection, 2) discovery, and 3) interpretation. This paper describes an unsupervised discovery method with biases geared toward partitioning objects into clusters that improve interpretability.
Gautam Biswas +2 more
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Feature-Based and Adaptive Rule Adaptation in Dynamic Environments
Rule-based systems have been used increasingly to augment learning algorithms for annotating data. Rules alleviate many of the shortcomings inherent in pure algorithmic approaches, in cases algorithms are not working well or lack from enough training ...
Alireza Tabebordbar +3 more
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Presenting the conceptual model of using artificial intelligence technology in Ofensive cyber operations [PDF]
Objective:Presenting a conceptual model in order to exploit artificial intelligence algorithms in cyber operations is based on the framework of miter attacks.Method:In order to achieve the mentioned goal, first and in the stage of data acquisition by ...
Hasan Mohammadi, ahmadreza trasoli
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One of the complexities of social systems is the emergence of behavior norms that are costly for individuals. Study of such complexities is of interest in diverse fields ranging from marketing to sustainability.
Saeed Harati +2 more
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Selecting a conceptual hydrological model using Bayes' factors computed with replica-exchange Hamiltonian Monte Carlo and thermodynamic integration [PDF]
We develop a method for computing Bayes' factors of conceptual rainfall–runoff models based on thermodynamic integration, gradient-based replica-exchange Markov chain Monte Carlo algorithms and modern differentiable programming languages.
D. N. Mingo +3 more
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Algorithms, logic and modeling of agent-based metacomputer systems with a high level of parallelism
Background. It is proposed to develop agent-based network metacomputer systems and applications based on logical methods and related conceptual graphical models, which allows combining imperative and declarative methods when designing the functional ...
V.I. Volchikhin +3 more
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Review of Algorithms for Artificial Intelligence on Low Memory Devices
The aim of the article is to conceptualise a more compact and efficient version of algorithms for artificial intelligence (AI). The core objective is to construct the design for a self-optimising and self-adapting autonomous artificial intelligence ...
Petar Radanliev, David de Roure
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Comparing Techniques of Rosenbrock, GA, URS and SCE-UA Optimization to Determine the Parameters of SIMHYD Model to Simulate Discharge Flow [PDF]
1-Introduction The optimization of conceptual rainfall- runoff model parameters is important in calibration whose goal is determining the values of the model parameters providing the best fit between observed and estimated flows data.
Mohammad Golshan +2 more
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