Results 21 to 30 of about 59,248 (322)
Representing logic gates over Euclidean space via heaviside step function
Scientific Reports, 2022 Theoretical concepts asserted by Alan Turing are the basis of the computation and hence of machine intelligence. Turing Machine, the fundamental computational model, has been proven to be reducible to a logic circuit and, at the same time, portable into ...
Giovanni Iacovelli, Claudio Iacovelli
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A Genetic Algorithm for the Double Row Layout Problem
Jurnal Teknik Industri, 2020 The double row layout problem (DRLP) is an NP-hard and has many applications in the industry. The problem concerns on arranging the position of machines on the two rows so that the material handling cost is minimized.
Achmad Pratama Rifai +3 more
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, 2020 The experimental design of high-strength concrete (HSC) requires deep analysis to get the target strength. In this study, machine learning approaches and artificial intelligence python-based approaches have been utilized to predict the mechanical ...
Fahid Aslam +8 more
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Upon the Haskell support for the web applications development
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2015 Some of the most challenging directions in recent theoretical and practical research concern both the web science and the web applications development.
Vasilescu Anca
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Statistical applications of optimization methods and mathematical programming [PDF]
Proceedings of the International Conference on Applied Statistics, 2019 Abstract Optimization techniques perform an important role in different domains of statistic. Examples of parameter estimation of different distributions, correlation analysis (parametric and nonparametric), regression analysis, optimal allocation of resources in partial research, exploration of response surfaces, design of experiments ...
Daniela-Ioana Manea +3 more
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A Comparison of Functional and Imperative Programming Techniques for Mathematical Software Development [PDF]
Journal of Systemics, Cybernetics and Informatics, 2014 Functional programming has traditionally been considered elegant and powerful, but also somewhat impractical for ordinary computing. Proponents of functional programming claim that the evolution of functional languages makes their use feasible in many ...
Scott Frame, John W. Coffey
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A Genetic Programming Approach to Reconfigure a Morphological Image Processing Architecture
International Journal of Reconfigurable Computing, 2011 Mathematical morphology supplies powerful tools for low-level image analysis. Many applications in computer vision require dedicated hardware for real-time execution.
Emerson Carlos Pedrino +2 more
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Optimization of production planning in Czech agricultural co-operative via linear programming
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2009 The production planning is one of the key managerial decisions in agricultural business, which must be done periodically every year. Correct decision must cover the agriculture demands of planting the crops such as crop rotation restrictions or water ...
Jitka Janová, Pavla Ambrožová
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An Introduction to Linear Programming Problems with Some Real-Life Applications
European Journal of Mathematics and Statistics, 2022 Linear programming is a mathematical tool for optimizing an outcome through a mathematical model. In recent times different mathematical models are extensively used in the planning of different real-life applications such as agriculture, management ...
R. Kunwar, H. P. Sapkota
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EURO Journal on Computational Optimization, 2020 The concept of leader-follower (or Stackelberg) equilibrium plays a central role in a number of real-world applications bordering on mathematical optimization and game theory.
Nicola Basilico +3 more
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