Results 51 to 60 of about 2,841,275 (318)

Identification of the freshness level of Tuna based on Discrete Cosine Transform on Feature Extraction of Gray Level Co-Occurrence Matrix using K-Nearest Neighbor

Ilkom Jurnal Ilmiah, 2023
Gorontalo Province is one of the provinces that have fishery potential and has a large sea area that can be managed to support the economy and development of the province.
Zulfrianto Yusrin Lamasigi, Serwin Serwin, Yusrianto Malago   +2 more
doaj   +1 more source

Lattice Gauge Theory -- Present Status

, 1993
Lattice gauge theory is our primary tool for the study of non-perturbative phenomena in hadronic physics. In addition to giving quantitative information on confinement, the approach is yielding first principles calculations of hadronic spectra and matrix
A. El-Khadra, C. Callan, D. Kahana, D. Kaplan, F. Butler, G. ’t Hooft, J. Jurkiewicz, K. Jansen, K. Wilson, M. Creutz, R. Narayanan, S. Aoki   +11 more
core   +2 more sources

Uncertainty effect on leak localisation in a DMA [PDF]

, 2016
The leak localisation methodologies based on data and models are affected by both uncertainties in the model and in the measurements. This uncertainty should be quantified so that its effect on the localisation methods performance can be estimated.
Blesa Izquierdo, Joaquim, Cugueró Escofet, Josep, Cugueró Escofet, Miquel Àngel, Pérez Magrané, Ramon, Sanz, Gerard   +4 more
core   +1 more source

Prediction model of algal blooms using logistic regression and confusion matrix

, 2021
Algal blooms data are collected and refined as experimental data for algal blooms prediction. Refined algal blooms dataset is analyzed by logistic regression analysis, and statistical tests and regularization are performed to find the marine ...
Hongwon Yun
semanticscholar   +1 more source

Analyzing the Importance of Sensors for Mode of Transportation Classification

Sensors, 2020
The broad availability of smartphones and Inertial Measurement Units in particular brings them into the focus of recent research. Inertial Measurement Unit data is used for a variety of tasks.
Björn Friedrich, Carolin Lübbe, Andreas Hein   +2 more
doaj   +1 more source

A unifying view for performance measures in multi-class prediction [PDF]

, 2010
In the last few years, many different performance measures have been introduced to overcome the weakness of the most natural metric, the Accuracy. Among them, Matthews Correlation Coefficient has recently gained popularity among researchers not only in ...
Cesare Furlanello, Giuseppe Biondi-Zoccai, Giuseppe Jurman, Samantha Riccadonna   +3 more
core   +3 more sources

Classification Comparison Performance of Supervised Machine Learning Random Forest and Decision Tree Algorithms Using Confusion Matrix

Jurnal Sisfokom (Sistem Informasi dan Komputer)
The classification method is part of data mining which is used to predict existing problems and also as predictions for the future. The form of dataset used in the classification method is supervised data.
Ellya Helmud, Fitriyani Fitriyani, Parlia Romadiana   +2 more
semanticscholar   +1 more source

Mechanisms of parasite‐mediated disruption of brain vessels

FEBS Letters, EarlyView.
Parasites can affect the blood vessels of the brain, often causing serious neurological problems. This review explains how different parasites interact with and disrupt these vessels, what this means for brain health, and why these processes matter. Understanding these mechanisms may help us develop better ways to prevent or treat brain infections in ...
Leonor Loira, Sílvia Arroz‐Madeira, Cláudio A. Franco, Sara Silva Pereira   +3 more
wiley   +1 more source

Confusion Matrices: A Unified Theory

IEEE Access
The confusion matrix is a key tool for understanding and evaluating models in supervised classification problems. Various matrices are proposed depending on the problem framework: single-label, multi-label, or even soft-label restricted to probability ...
Johan Erbani, Pierre-Edouard Portier, Elod Egyed-Zsigmond, Diana Nurbakova   +3 more
doaj   +1 more source

Navigating new norms: a systematic review of factors for the development of effective digital tools in higher education

FEBS Open Bio, EarlyView.
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman, Jessica Haines, Connie Pritchard, Stephen Rutherford, Nigel Francis   +4 more
wiley   +1 more source