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481
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482
A Stochastic Newton-Raphson Method with Noisy Function Measurements
Published 2016“…The development of the proposed optimal algorithm is based on minimizing a stochastic performance index. …”
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483
Singularly perturbed nonlinear ODEs and interior point optimizationalgorithms
Published 1995“…This paper explores the continuous realizations of iterative processes emanating from interior point optimization algorithms, and their connection with nonlinear singularly-perturbed ordinary differential equations. …”
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484
Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review
Published 2022“…Two reviewers independently performed the study selection process. Three reviewers independently extracted data from the included studies. …”
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485
Artificial Intelligence for Skin Cancer Detection: Scoping Review
Published 2021“…Study selection and data extraction were independently conducted by two reviewers. …”
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486
A method for data path synthesis using neural networks
Published 2017“…A sequential simulator was implemented for the proposed algorithm on a Linux Pentium PC under X Windows. Several circuits hare been attempted, all yielding sub-optimal solutions.…”
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conferenceObject -
487
An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation
Published 2001“…Evolutionary algorithms have been effective in solving many search and optimization problems. …”
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488
Shuffled Linear Regression with Erroneous Observations
Published 2019“…We propose an optimal recursive algorithm that updates the estimate from the underdetermined function that is based on that permutation-invariant constraint. …”
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conferenceObject -
489
Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques
Published 2024“…The first method uses an offline technique based on a global optimizer called the CMA-ES algorithm and the second one uses LSTM in its different forms to learn the online adjustment of the fusion weights between the two tracks. …”
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490
Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review
Published 2022“…Two reviewers independently performed study selection and data extraction, and disagreements were resolved by consensus. …”
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491
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
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doctoralThesis -
492
Generic DFT approach for pattern sensitive faults in word-orientedmemories
Published 1996“…A novel design for testability (DFT) strategy allows efficient built-in self-testing (BIST) of WOMs. By proper selection of the memory array tiling scheme, it is possible to implement O(n) BIST algorithms which test WOMs for various types of neighbourhood pattern sensitive faults (NPSFs). …”
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493
Performance Prediction Using Classification
Published 2019“…The use of classification as a data mining approach for performance prediction has been studied by many eminent researchers. …”
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494
Deep Reinforcement Learning for Resource Constrained HLS Scheduling
Published 2022“…The actions and rewards for the proposed algorithm are selected carefully to guide the agent to its objective. …”
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masterThesis -
495
Security in wire/wireless networks: sniffing attacks prevention/detection techniques in LAN networks & the effect on biometric technology
Published 2010“…In our research, we evaluated the most famous security solutions and classifying them according to their efficiency against detecting or preventing the types of Address Resolution Protocol [ARP] Spoofing attacks. Based on the surprising experimental results done by a previous study in the security lab which proposed an optimal algorithm to enhance their ability against the two famous network attacks; we implemented the proposed algorithm by this study and stimulate the experiment in order to test the algorithm performance. …”
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496
Local convexity preserving rational cubic spline curves
Published 1997“…An algorithm is presented which constructs a curve by interpolating the given data points. …”
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497
Regression Testing of Database Applications
Published 2002“…In phase 2, further reduction in the regression test cases is performed by using reduction algorithms. We present two such algorithms. The Graph Walk algorithm walks through the control flow graph of database modules and selects a safe set of test cases to retest. …”
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498
A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass
Published 2025“…By synthesizing findings across various data sources and model architectures, we offer critical insights into the selection of context-aware algorithms and identify key research gaps, an essential step for advancing the reliability and applicability of AI-driven seagrass conservation efforts.…”
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499
Improving Rule Set Based Software Quality Prediction
Published 2003Get full text
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article -
500
