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12 papers · ranked by Valyu relevance

01
PPubMed19 May 2017
Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms
Radek Martinek, Radana Kahankova, Homer Nazeran, Jaromir Konecny + 7 more
This paper is focused on the design, implementation and verification of a novel method for the optimization of the control parameters (such as step size $μ$ and filter order N) of LMS and RLS adaptive filters used for noninvasive fetal monitoring. The optimization algorithm is driven by considering the ECG electrode…
81relevance
02
PPubMed21 Jul 2022
Early Stopping Criterion for Recursive Least Squares Training of Behavioural Models
Méabh Loughman, Sinéad Barton, Ronan Farrell, John Dooley
The necessity of the rapid evolution of wireless communications, with continuously increasing demands for higher data rates and capacity Zheng (Big datadriven optimization for mobile networks toward 5g 30:44-51, 2016), is constantly augmenting the complexity of radio frequency (RF) transceiver architecture. A…
81relevance
03
PPubMed13 Aug 2025
Robust Data-Reuse Regularized Recursive Least-Squares Algorithms for System Identification Applications †
Radu-Andrei Otopeleanu, Constantin Paleologu, Jacob Benesty, Laura-Maria Dogariu + 3 more
'Laura-Maria Dogariu' 'Cristian-Lucian Stanciu' 'Silviu Ciochină' 'Ka-Fai Cedric Yiu'] The recursive least-squares (RLS) algorithm stands out as an appealing choice in adaptive filtering applications related to system identification problems. This algorithm is able to provide a fast convergence rate for various types…
81relevance
04
PPubMed9 Mar 2022
Retrospection of Nonlinear Adaptive Algorithm-Based Intelligent Plane Image Interaction System
Zixi Guan, Raja Varma Pamba, Bhuvaneswari Balachander, Deepak Kumar Khare + 2 more
'Deepak Kumar Khare' 'Nabamita Deb' 'Rajasekhar Boddu'] This paper introduces the application and classification of an adaptive filtering algorithm in the image enhancement algorithm. And the filtering noise reduction impact is compared using MATLAB software for programming, image processing, LMS algorithm, RLS…
81relevance
05
PPubMed2 May 2012
Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations
Tapio Pahikkala, Sebastian Okser, Antti Airola, Tapio Salakoski + 1 more
'Tero Aittokallio'] Background Through the wealth of information contained within them, genome-wide association studies (GWAS) have the potential to provide researchers with a systematic means of associating genetic variants with a wide variety of disease phenotypes. Due to the limitations of approaches that have…
79relevance
06
CchemRxiv21 Mar 2023
Reinforcement Learning in Crystal Structure Prediction
Elena Zamaraeva, Christopher M. Collins, Dmytro Antypov, Vladimir V. Gusev + 6 more
Crystal Structure Prediction (CSP) is a fundamental computational problem in materials science. Basin-hopping is a prominent CSP method that combines global Monte Carlo sampling to search over candidate trial structures with local energy minimisation of these candidates. The sampling uses a stochastic policy to…
65relevance
07
CchemRxiv21 Oct 2025
Artificial Intelligence and Olfaction: A Survey on the Sense of Smell for Robotics
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
64relevance
08
CchemRxiv20 Apr 2022
Sella, an open-source automation-friendly molecular saddle point optimizer
Eric Hermes, Khachik Sargsyan, Habib Najm, Judit Zádor
We present a new algorithm for the optimization of molecular structures to saddle points on the potential energy surface using a redundant internal coordinate system. This algorithm automates the procedure of defining the internal coordinate system, including the handling of linear bending angles, e.g. through the…
63relevance
09
PPubMed15 Dec 2023
MLBRSA: Multi-Learning-Based Reptile Search Algorithm for Global Optimization and Software Requirement Prioritization Problems
Jeyaganesh Kumar Kailasam, Rajkumar Nalliah, Saravanakumar Nallagoundanpalayam Muthusamy, Premkumar Manoharan + 1 more
'Saravanakumar Nallagoundanpalayam Muthusamy' 'Premkumar Manoharan' 'Heming Jia'] In the realm of computational problem-solving, the search for efficient algorithms tailored for real-world engineering challenges and software requirement prioritization is relentless. This paper introduces the Multi-Learning-Based…
63relevance
10
CchemRxiv8 Aug 2023
Sample Efficient Reinforcement Learning with Active Learning for Molecular Design
Michael Dodds, Jeff Guo, Thomas Löhr, Alessandro Tibo + 2 more
Reinforcement learning (RL) is a powerful and flexible paradigm for searching for solutions in high-dimensional action spaces. However, bridging the gap between playing computer games with thousands of simulated episodes and solving real scientific problems with complex and involved environments (up to actual…
62relevance
11
CchemRxiv4 Apr 2024
Optimizing the Prediction of Adsorption in Metal-Organic Frameworks Leveraging Q-Learning
Etinosa Osaro, Yamil Colón
The application of machine learning (ML) techniques in materials science has revolutionized the pace and scope of materials research and design. In the case of metal-organic frameworks (MOFs), a promising class of materials due to their tunable properties and versatile applications in gas adsorption and separation, ML…
58relevance
12
CchemRxiv10 Dec 2025
Opportunities and Challenges of Machine Learning in Atomic Layer Deposition
Authors not listed
The integration of machine learning methods is transforming many areas of research by, for instance, accelerating molecular dynamics simulations and enabling improved prediction and optimization of chemical reactions. However, despite this progress, the adoption of data-driven approaches in atomic layer deposition…
52relevance

Results for RLS algorithm

Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms

Early Stopping Criterion for Recursive Least Squares Training of Behavioural Models

Robust Data-Reuse Regularized Recursive Least-Squares Algorithms for System Identification Applications †

Retrospection of Nonlinear Adaptive Algorithm-Based Intelligent Plane Image Interaction System

Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations

Reinforcement Learning in Crystal Structure Prediction

Artificial Intelligence and Olfaction: A Survey on the Sense of Smell for Robotics

Sella, an open-source automation-friendly molecular saddle point optimizer

MLBRSA: Multi-Learning-Based Reptile Search Algorithm for Global Optimization and Software Requirement Prioritization Problems

Sample Efficient Reinforcement Learning with Active Learning for Molecular Design

Optimizing the Prediction of Adsorption in Metal-Organic Frameworks Leveraging Q-Learning

Opportunities and Challenges of Machine Learning in Atomic Layer Deposition

Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms

Early Stopping Criterion for Recursive Least Squares Training of Behavioural Models

Robust Data-Reuse Regularized Recursive Least-Squares Algorithms for System Identification Applications †

Retrospection of Nonlinear Adaptive Algorithm-Based Intelligent Plane Image Interaction System

Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations

Reinforcement Learning in Crystal Structure Prediction

Artificial Intelligence and Olfaction: A Survey on the Sense of Smell for Robotics

Sella, an open-source automation-friendly molecular saddle point optimizer

MLBRSA: Multi-Learning-Based Reptile Search Algorithm for Global Optimization and Software Requirement Prioritization Problems

Sample Efficient Reinforcement Learning with Active Learning for Molecular Design

Optimizing the Prediction of Adsorption in Metal-Organic Frameworks Leveraging Q-Learning

Opportunities and Challenges of Machine Learning in Atomic Layer Deposition