Search Results - (algorithmic OR algorithm) bias~
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41
Smart Corrosion Monitoring in AA2055 Using Hidden Markov Models and Electrochemical Noise Signal Processing
Published 2025“…This work explores the application of Hidden Markov Models (HMMs) for the classification and reconstruction of corrosion mechanisms in the aerospace-grade aluminum alloy AA2055 from the signals obtained by electrochemical noise (EN) analysis. Using the PELT algorithm to segment the signal based on relevant changepoints, distinct corrosion states within the segments are isolated and identified, including general, localized, and mixed corrosion based on statistical signal features, which are used to create the probabilistic structure of HMMs through the initiation, transition, and emission matrices. …”
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42
Accessible location of mobile labs for COVID-19 testing
Published 2024“…In response, we designed a Biased Random-Key Genetic Algorithm to solve the defned problem; this is capable of obtaining high-quality feasible solutions over large numbers of instances in seconds. …”
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43
On aerodynamics of baseball pitches: reconstruction of spinning throws, and a lift force model for the knuckleball
Published 2016“…This is applied in an algorithm based on shooting method, which obtains the initial conditions of synthetic trajectories with a high accuracy in a low-time.…”
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44
On aerodynamics of baseball pitches: reconstruction of spinning throws, and a lift force model for the knuckleball
Published 2016“…This is applied in an algorithm based on shooting method, which obtains the initial conditions of synthetic trajectories with a high accuracy in a low-time.…”
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45
Cultura de la innovación en el desempeño de la industria manufacturera colombiana
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46
A Real-Time SOSM Super-Twisting Technique for a Compound DC Motor Velocity Controller
Published 2017“…bstract: In this paper, a real-time robust closed-loop control scheme for controlling the velocity of a Direct Current (DC) motor in a compound connection is proposed. This scheme is based on the state-feedback linearization technique combined with a second-order sliding mode algorithm, named super-twisting, for stabilizing the system and achieving control goals. …”
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47
Estimation of lower-limb joint torques from EEG signals of gait initiation movements using a machine learning scheme
Published 2019“…Las interfaces cerebro computadora, Brain-Computer Interfaces (BCIs), surgen como un intento de devolver a las personas con discapacidad la movilidad que alguna vez tuvieron. …”
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48
Estimation of lower-limb joint torques from EEG signals of gait initiation movements using a machine learning scheme
Published 2019“…Las interfaces cerebro computadora, Brain-Computer Interfaces (BCIs), surgen como un intento de devolver a las personas con discapacidad la movilidad que alguna vez tuvieron. …”
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49
La esofagitis eosinofílica. ¿El Norte contra el Sur? Enfoque mecanicista bio-económico-social e implicaciones clínicas
Published 2017“…No obstante, el carácter epidémico de la enfermedad sugiere que las causas ambientales son más poderosas. Con base en hipótesis publicadas, así como en los estudios epidemiológicos, en la presente revisión se discutirán algunas de las posibles causas de la disparidad de prevalencia de la EEo entre ambos tipos de países. …”
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50
Optimización de la planificación de servicios
Published 2019“…Fueron propuestas dos formulaciones. Adaptación de las instancias propuestas por Chao et al. (1996b). …”
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51
Optimización de la planificación de servicios
Published 2019“…Fueron propuestas dos formulaciones. Adaptación de las instancias propuestas por Chao et al. (1996b). …”
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53
State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data
Published 2022“…The use of such technologies has unlocked new opportunities to introduce new data driven algorithms for improving the stability assessment and control of the system. …”
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54
Fragment-aided recognition of images under poor lighting and additive impulse noises
Published 2019“…On the base of the first-order integral disproportion functions, two algorithms recognizing fragments of standard images are proposed. …”
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Efficient methods for solving power system operation scheduling challenges: the thermal unit commitment problem with staircase cost and the very short-term load forecasting problem
Published 2023“…These two are important challenges that need the development of models and efficient algorithms. To tackle the generator scheduling problem, we propose and develop five matheuristic methods, including four variations of local branching (LB) and one using kernel search (KS). …”
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57
Efficient methods for solving power system operation scheduling challenges: the thermal unit commitment problem with staircase cost and the very short-term load forecasting problem
Published 2023“…These two are important challenges that need the development of models and efficient algorithms. To tackle the generator scheduling problem, we propose and develop five matheuristic methods, including four variations of local branching (LB) and one using kernel search (KS). …”
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58
Fault Detection for Automotive Shock Absorber
Published 2015“…Two model-based fault algorithms for semiactive shock absorber are compared: an observer-based approach and a parameter identification approach. …”
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59
Design and manufacturing of a propeller for axial-flow fan
Published 2012“…This work presents a methodology for the design and manufacture of propellers oriented to the experimental verification of theoretical results based on the combined model. The design process begins by using algorithms in Matlab which output data contain the coordinates of the points that define the blade airfoils, in this case the NACA 6512 airfoil was used. …”
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60
Exact solutions for the agricultural and the two-dimensional packing problems
Published 2015“…Objectives and study method: The objective of this study is to develop exact algorithms that can be used as management tools for the agricultural production planning and to obtain exact solutions for two of the most well known twodimensional packing problems: the strip packing problem and the bin packing problem. …”
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