Results 81 to 90 of about 23,893 (215)
Application of C4.5 Algorithm for Cattle Disease Classification
Journal of Physics: Conference Series, 2019 Abstract Data mining is a series of process to gain values such as informations that is manually unknown from a database by mining patterns from the data (with the intention to manipulate data into more useful information that is obtained by extracting data and recognizing important pattern or pulling data from the database).
Evta Indra +5 more
openaire +1 more source
Evolution of Cement Concrete Modeling: A Review of Conventional Modeling Techniques and Application
Engineering Reports, Volume 7, Issue 10, October 2025.This review explores the evolution of cement concrete modeling, comparing the traditional methods such as analytical and empirical models with modern methods like finite element analysis, simulation, and machine learning, identifying gaps and fostering improvement and understanding of concrete's structural behavior and predictability. ABSTRACT Modeling
Habert Ayesiga +2 more
wiley +1 more source
GENESIM : genetic extraction of a single, interpretable model [PDF]
, 2016 Models obtained by decision tree induction techniques excel in being interpretable.However, they can be prone to overfitting, which results in a low predictive performance. Ensemble techniques are able to achieve a higher accuracy. However, this comes at
De Turck, Filip +4 more
core +2 more sources
RETRACTED: Artificial intelligence for emergency medical care
Health Care Science, Volume 4, Issue 5, Page 359-374, October 2025.‘Applications of artificial intelligence in emergency medical service’. Abstract There is increasing research into the potential benefits of incorporating artificial intelligence (AI) and machine learning algorithms into emergency medical services. AI is finding new applications across a wide range of sectors, one of which is healthcare, where it is ...
Shivam Rajput +2 more
wiley +1 more source
Physiological Reports, Volume 13, Issue 19, October 2025.Abstract Arterial blood pressure (ABP) is a broadly measured vital signal used to monitor cardiovascular health through raw signal and derived metrics. Artifacts are a pervasive issue, resulting in a declined utility of the signal. The aim of this review was to examine the existing literature pertinent to artifact management strategies in ABP signals ...
Tobias Bergmann +10 more
wiley +1 more source
Knowledge Extracted from Recurrent Deep Belief Network for Real Time Deterministic Control
, 2017 Recently, the market on deep learning including not only software but also hardware is developing rapidly. Big data is collected through IoT devices and the industry world will analyze them to improve their manufacturing process.
Ichimura, Takumi, Kamada, Shin
core +1 more source
An Extended C4.5 Classification Algorithm using Mathematical Series
Science & Technology Journal, 2019 The algorithm C4.5 is an efficient decision tree based classification, which is derived from the ID3 approach. C4.5 is also a rule based classification algorithm. The main importance of the C4.5 algorithm is that it can deal with categorical data, over fitting of data and handling of missing values.
R. Raja Aswathi +2 more
openaire +1 more source
Advanced Science, Volume 12, Issue 33, September 4, 2025.This review comprehensively examines the applications of protein three‐dimensional structures and artificial intelligence in investigating drug synergistic and antagonistic effects. The research findings provide compelling evidence for the precision treatment of cancer and metabolic diseases, thereby promoting the development of personalized medicine ...
Anqi Lin +11 more
wiley +1 more source
Signal selection and latency compensation in wide area controlled power system
Energy Science &Engineering, Volume 13, Issue 8, Page 3885-3902, August 2025.Abstract This paper presents a new approach for selecting signals for the monitoring and control of power systems over a wide area. The approach solves the twin problems of locating Phasor Measurement Units for observability and placing dynamic controllers for controllability using distinct techniques.
Prakash Thyagarajan +1 more
wiley +1 more source
A New Robust Classifier on Noise Domains: Bagging of Credal C4.5 Trees
Complexity, 2017 The knowledge extraction from data with noise or outliers is a complex problem in the data mining area. Normally, it is not easy to eliminate those problematic instances.
Joaquín Abellán +2 more
doaj +1 more source