Results 41 to 50 of about 4,359,077 (237)

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Mean Estimation for Time-Based Surveys Using Memory-Type Logarithmic Estimators

Mathematics, 2023
This article examines the issue of population mean estimation utilizing past and present data in the form of an exponentially weighted moving average (EWMA) statistic under simple random sampling (SRS).
Shashi Bhushan, Anoop Kumar, Amer Ibrahim Al-Omari, Ghadah A. Alomani   +3 more
doaj   +1 more source

The exponentiated exponentially weighted moving average control chart

Statistical Papers
AbstractMemory-type control charts are widely used for monitoring small to moderate shifts in the process parameter(s). In the present article, we present an exponentiated exponentially weighted moving average (Exp-EWMA) control chart that weights the past observations of a process using an exponentiated function.
Vasileios Alevizakos, Arpita Chatterjee, Kashinath Chatterjee, Christos Koukouvinos   +3 more
openaire   +2 more sources

Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart [PDF]

, 2022
Some industrial data often come with uncertainty, which in some cases depends on the decision of those responsible for taking the measurement in the production process. While the fuzzy approach helps to tackle the ambiguity that arises in the measurement,
Adepoju, Akeem Ajibola, Abdulkadir, Sauta S., Chiroma, Haruna, Jibasen, Danjuma   +3 more
core   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

COMPARISON OF EXPONENTIALLY WEIGHTED MOVING AVERAGE CONTROL CHART WITH HOMOGENEOUSLY WEIGHTED MOVING AVERAGE CONTROL CHARTS AND ITS APPLICATION

Barekeng
The Exponentially Weighted Moving Average (EWMA) control chart is a widely used memory-type control chart known for detecting small shifts in process means.
Erna Tri Herdiani, Mustabsyirah Mustabsyirah   +1 more
doaj   +1 more source

แผนภูมิควบคมุค่าเฉลี่ยเคลื่อนที่ถ่วงน้ำหนักแบบเลขชี้กำลัง-ทูกีสำหรับพิสัยเคลื่อนที่และพิสัยExponentially Weighted Moving Average – Tukey’s Control Charts for Moving Range and Range

, 2017
งานวิจัยนี้มีวัตถุประสงค์เพื่อเสนอแผนภูมิควบคุมค่าเฉลี่ยเคลื่อนที่ถ่วงน้ำหนักแบบเลขชี้กำลัง-ทูกีสำหรับพิสัยเคลื่อนที่และพิสัย เพื่อตรวจจับการเปลี่ยนแปลงของความผันแปรของกระบวนการที่มีการแจกแจงสมมาตรและไม่สมมาตร และเปรียบเทียบประสิทธิภาพในการตรวจจับการเปลี่
Mongkoltawat, Phunsa; Department of Applied Statistics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand, Sukparungsee, Saowanit; Department of Applied Statistics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand, Areepong, Yupaporn; Department of Applied Statistics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand   +2 more
core   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Exploring the decay parameter for the exponentially weighted moving average volatility methodology [PDF]

, 2023
Dissertation (MSc (Financial Engineering))--University of Pretoria, 2023.Volatility estimation is a crucial task for financial institutions, as it affects various aspects of their operations, such as risk management, capital allocation, investment ...

core   +1 more source