Results 131 to 140 of about 105,427 (308)

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

Controlling Dynamical Systems Into Unseen Target States Using Machine Learning

Advanced Intelligent Systems, EarlyView.
Parameter‐aware next‐generation reservoir computing enables efficient, data‐driven control of dynamical systems across unseen target states and nonstationary transitions. The approach suppresses transient behavior while navigating system collapse scenarios with minimal training data—over an order of magnitude less than traditional methods.
Daniel Köglmayr, Alexander Haluszczynski, Christoph Räth   +2 more
wiley   +1 more source

Entropy‐Guided Convolutional Neural Network Classification of Sensor Signals for Real‐Time Surface Quality Monitoring in Direct Laser Interference Patterning

Advanced Intelligent Systems, EarlyView.
Neural‐network pipeline for real‐time DLIP surface‐quality monitoring: spectral entropy of WLI topographies is used to generate interpretable K‐means labels, which are transferred to time‐resolved photodiode traces. A compact dual‐input 1D‐CNN (signal + laser parameters) learns discriminative spatiotemporal features and predicts “OK/NOK” surface ...
Marcelo Daniel Sallese, Ignacio Tabares, Wei Wang, Marcos Soldera, Andrés Fabián Lasagni   +4 more
wiley   +1 more source

Lexical feature analysis of Chinese informed consent forms based on the information entropy methods: A paired study of minor and their guardian' version.

PLoS ONE
High-quality informed consent forms (ICFs) are crucial to facilitate effective communication between researchers and patients. However, the complex and specialized terminologies in ICFs often result in biased or late interpretations, thus hindering the ...
Qiansu Yang, Yining Wang, Wenbin Shi, Zhenzhen Li, Hong Liang, Jiang Cao, Nan Bai, Chien-Hung Yeh   +7 more
doaj   +1 more source

Shannon Entropy of Laguerre-Gaussian Correlated Schell-Model Beams in Underwater Turbulence

Photonics
This study examines the evolution of Shannon entropy, a key measure of uncertainty and disorder, in a Laguerre-Gaussian correlated Schell-model (LGcSM) beam under ocean turbulence.
Zhiyuan Hu, Ruilin Liu, Wenjie Yin, Jiayi Yu, Yangjian Cai, Rong Lin   +5 more
doaj   +1 more source

Entropy, virtual Abelianness and Shannon orbit equivalence

Ergodic Theory and Dynamical Systems
AbstractWe prove that if two free probability-measure-preserving (p.m.p.) ${\mathbb Z}$ -actions are Shannon orbit equivalent, then they have the same entropy. The argument also applies more generally to yield the same conclusion for free p.m.p. actions of finitely generated virtually Abelian groups.
Kerr, David, Li, Hanfeng
openaire   +2 more sources

Shannon Entropy of Chemical Elements

, 2023
It was recently discovered that electron populations within an orbital not only maximize spin multiplicity but also minimize Shannon entropy, which seems to be the physical basis for the Hund rule. This study extends these findings to the Aufbau rule.
openaire   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Firefly-Algorithm Supported Scheme to Detect COVID-19 Lesion in Lung CT Scan Images using Shannon Entropy and Markov-Random-Field [PDF]

, 2020
V. Rajinikanth, Seifedine Kadry, Palani Thanaraj Krishnan, Kamalanand Krishnamurthy, Sanghyun Seo   +4 more
openalex   +1 more source

Shannon's entropy: an axiomatic approach

, 2021
The word "entropy" arose in the year 1864, in the works of thermodynamics by Rudolf Clausius. In 1948, Claude E. Shannon uses that same name to designate a measure of information in his mathematical model of communication, based on the concepts of emitter, receiver, channel, noise, redundancy, coding and decoding.
Magossi, José Carlos, Barros, Antônio César da Costa   +1 more
openaire   +1 more source