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making algorithm » cosine algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
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601
Neural network-based failure rate prediction for De Havilland Dash-8 tires
Published 2006“…An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as a learning rule is developed. …”
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602
Determination Of The Optimal Process Means And Production Cycles For Multistage Production Systems Subject To Process Deterioration
Published 2020“…A Hook and Jeeves search algorithm is used to optimize the model, and a numerical example is provided. …”
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603
The role of Reinforcement Learning in software testing
Published 2023“…</p><h3>Results</h3><p dir="ltr">This study highlights different software testing types to which RL has been applied, commonly used RL algorithms and architecture for learning, challenges faced, advantages and disadvantages of using RL, and the performance comparison of RL-based models against other techniques.…”
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604
A quadratic kernel for 3-set packing
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conferenceObject -
605
Intelligent Hybrid Feature Selection for Textual Sentiment Classification
Published 2021“…Finally, for textual sentiment classification, the well-known classification algorithms Support Vector Machine (SVM), Naive Bayes (NB), Generalized Linear Model (GLM) are trained in the ensemble model on the refined sentiment feature set. …”
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606
A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata
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doctoralThesis -
607
Failure-Rate Prediction for De Havilland Dash-8 Tires Employing Neural-Network Technique
Published 2006“…An artificial neural-network model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the two-layered feedforward back-propagation algorithm as a learning rule is developed. …”
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608
Communications in electronic textile systems
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conferenceObject -
609
An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control
Published 2020“…The first three techniques were automatic, employ correlation, and were variants of template matching, whereas the last one uses convolutional neural networks (CNNs). Different metrics to quantitatively evaluate the performance of each algorithm in terms of accuracy and latency were computed and overall comparison is presented. …”
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610
Combined cycle gas turbine system optimization for extended range electric vehicles
Published 2020“…The two-steps methodology consists of conducting first an exergo-technological analysis using a Non-dominated Sorting Genetic Algorithm to identify the best suitable combined cycle configuration for integration in a series hybrid powertrain. …”
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611
" Design of Variable Structure Stabilizer for a Nonlinesr Mode of SMIB System: Particle Swarm Approach"
Published 2006“…Unlike the methods reported in the literature which involve either linearizing the model of synchronous machine around a suitable operation point or applying nonlinear transformation techniques before linear control theory is used in designing a fixed parameter PSS, the present method formulates the design of VSC as an optimization problem and utilized the PSO algorithm to provide a simple and systematic way of arriving at the optimal feedback gains and switching vector values of the stabilizer. …”
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612
"Design of Variable Structure Stabilizer for a Nonlinesr Mode of SMIB System: Particle Swarm Approach"
Published 2006“…Unlike the methods reported in the literature which involve either linearizing the model of synchronous machine around a suitable operation point or applying nonlinear transformation techniques before linear control theory is used in designing a fixed parameter PSS, the present method formulates the design of VSC as an optimization problem and utilized the PSO algorithm to provide a simple and systematic way of arriving at the optimal feedback gains and switching vector values of the stabilizer. …”
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613
Net energy–cost optimization of STPV–PDRC integrated greenhouses: Balancing energy production and cooling demand under crop-specific DLI constraints
Published 2025“…This study developed a multi-objective optimization framework integrating passive daytime radiative cooling (PDRC) materials and semi-transparent photovoltaics (STPV) to enhance greenhouse performance under varying daily light integral (DLI) constraints. Using coupled energy simulation, daylight analysis, and cost modeling, we evaluated material configurations across various representative DLI thresholds, reflecting different crop requirements. …”
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614
Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning
Published 2023“…With the significant advancements in machine learning (ML) and artificial intelligence (AI) in recent years, numerous models and algorithms have been proposed to support the diagnosis and classification of CLL. …”
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615
Adaptive STATCOM Control for a Multi-machine Power System
Published 2020“…Synchronous static compensator (STATCOM) can be used to improve the dynamic performance of a power system. …”
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616
Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018)
Published 2018“…In this context, we first propose in this thesis a model providing Intelligent Behavior- Aware Adaptation of Roles using Machine Learning Classification. …”
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masterThesis -
617
Localizing-ground Transmitters Using Airborne Antenna Array
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doctoralThesis -
618
Correlation Clustering via 2-Club Clustering with Vertex Splitting
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masterThesis -
619
Area Flexible GF(2k) Elliptic Curve Cryptography Coprocessor
Published 2007“…This multiplier hardware is furthermore adjusted to have area flexibility feature, which is used as the basic block in modeling a complete projective coordinate GF(2k) ECC coprocessor.…”
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620