Ensemble Classifier for Recognition of Small Variation in X-Bar Control Chart Patterns
Machines, 2023 Manufacturing processes have become highly accurate and precise in recent years, particularly in the chemical, aerospace, and electronics industries. This has attracted researchers to investigate improved procedures for monitoring and detection of small ...
Waseem Alwan +4 more
doaj +1 more source
Inclusive Financial Services of Microfinance Banks for Inclusive Agricultural Development in Anambra State, Nigeria [PDF]
, 2016 The study analyzed evaluated the inclusiveness of the financial services of microfinance banks for an inclusive Agricultural development in Anambra state, Nigeria.
Obianujunwa, E. P. (Ewuzie) +1 more
core +1 more source
Economic Design of X-bar Control Chart Using Gravitational Search Algorithm [PDF]
, 2015 Control chart is a major and one of most widely used statistical process control (SPC) tools. It is used to statistically monitor the process through sampling inspection.
Juvvala, Rambabu
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Cogent Education, 2019 This study aimed at comparing two types of IELTS writing task 1 namely, bar charts and tables of Iranian test takers in terms of four IELTS writing assessment criteria including task achievement, coherence and cohesion, lexical resource, and grammar ...
Saeed Ahmadi +2 more
doaj +1 more source
A New X-Bar Control Chart for Using Neutrosophic Exponentially Weighted Moving Average
Mathematics, 2019 The existing Shewhart X-bar control charts using the exponentially weighted moving average statistic are designed under the assumption that all observations are precise, determined, and known.
Muhammad Aslam +2 more
doaj +1 more source
Rapid Sampling for Visualizations with Ordering Guarantees [PDF]
, 2014 Visualizations are frequently used as a means to understand trends and gather insights from datasets, but often take a long time to generate. In this paper, we focus on the problem of rapidly generating approximate visualizations while preserving crucial
Blais, Eric +5 more
core +6 more sources
Machine Learning Approaches for Fault Detection in Semiconductor Manufacturing Process: A Critical Review of Recent Applications and Future Perspectives [PDF]
Chemical and Biochemical Engineering Quarterly, 2022 In modern industries, early fault detection is crucial for maintaining process safety and product quality. Process data contains information on the entire plant acting as a map for visualization of relationships between various plant units, making data ...
V. Arpitha, A. K. Pani
doaj +1 more source
IEEE Access, 2019 An X-bar control chart using the multiple dependent state (MDS) sampling under indeterminacy is presented in this paper. The MDS sampling utilizes the previous subgroup information if in-decision on the first sample. The use of MDS increases the power of
Muhammad Aslam +2 more
doaj +1 more source
Peran Analisis Data dalam Pengembangan Dashboard Visualisasi Data PRODAMAS Pemerintah Kota Kediri
E-Dimas, 2023 PRODAMAS (Program Pemberdayaan Masyarakat) merupakan salah satu Program Pemerintah Kota Kediri untuk mewujudkan konsep pembangunan partisipatif. Pada tahun 2021, Pemerintah Kota Kediri melakukan upaya Scale Up PRODAMAS dengan melibatkan mahasiswa melalui
Asrul Irfanullah +2 more
doaj +1 more source
Multimodal virtual reality versus printed medium in visualization for blind people [PDF]
, 2002 In this paper, we describe a study comparing the strengths of a multimodal Virtual Reality (VR) interface against traditional tactile diagrams in conveying information to visually impaired and blind people. The multimodal VR interface consists of a force
Brewster, S.A., Yu, W.
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