A5105988918- Neural Networks and Applications
- Quantum Computing Algorithms and Architecture
- Quantum and electron transport phenomena
- Polyamine Metabolism and Applications
- Liver Disease Diagnosis and Treatment
- Quantum-Dot Cellular Automata
- Biopolymer Synthesis and Applications
- Advanced Multi-Objective Optimization Algorithms
- DNA and Biological Computing
- Alcohol Consumption and Health Effects
- Diet and metabolism studies
- Gut microbiota and health
- Modular Robots and Swarm Intelligence
- Gene expression and cancer classification
- Control Systems and Identification
- Nutrition, Genetics, and Disease
- Parallel Computing and Optimization Techniques
- Finite Group Theory Research
- Advanced Machining and Optimization Techniques
- Advanced Physical and Chemical Molecular Interactions
- Experimental Learning in Engineering
- Iterative Learning Control Systems
- Topology Optimization in Engineering
- Advanced Thermodynamics and Statistical Mechanics
- Endoplasmic Reticulum Stress and Disease
Universidad Nacional de Colombia
1998-2018
We call attention to a simple measuring argument for finite groups. Direct applications of this lead the construction certain new characteristic subgroups $p$-groups as well an easy proof generalization, due Timmesfeld, Thompson replacement lemma. Some groups are also given.
A mathematical proposition with a trainable pair, operator and quantum circuit, are introduced to approximate functions expressed as cubic Taylor polynomials, numerical simulations illustrate three cases.
Classical probabilistic reconfigurable systems can be described using the quantum circuits mathematical framework, analogy - is illustrated with an electric circuit and a neural network, concept of classically entangled states appears when DPDT switch used in networks.
Many engineering design tasks involve optimizing several conflicting goals; these types of problem are known as Multiobjective Optimization Problems (MOPs). Evolutionary techniques have proved to be an effective tool for finding solutions MOPs during the last decade. Variations on basic genetic algorithm been particularly proposed by different researchers rapid optimal MOPs. The NSGA (Non-dominated Sorting Genetic Algorithm) has implemented in this paper a shaft subjected cyclic loads, goals...
This paper introduces a magnetically coupled circuit with the Josephson junction, key feature is nonlinear inductance. The equations are formulated in state variables and simulations illustrate current - voltage dynamics for different sets of parameters. main motivation to study junctions, from theory perspective, understand some basic concepts quantum bits as superconducting circuits.