Results 51 to 60 of about 662,867 (210)

Transferability of a Battery Cell End-of-Life Prediction Model Using Survival Analysis

Energies, 2022
Electric vehicles are increasingly becoming the vehicle of choice in today’s environmentally conscious society, and the heart of an electric vehicle is its battery. Today, lithium-ion batteries are mainly used to power electric vehicles for its increased
Maya Santhira Sekeran, Milan Živadinović, Myra Spiliopoulou   +2 more
doaj   +1 more source

Knowledge Discovery in an Agents Environment [PDF]

, 2004
We describe work undertaken to investigate automated querying of simple forms of ontology by software agents to acquire the semantics of metadata terms. Individual terms as well as whole vocabularies can be investigated by agents through a software interface and by humans through an interactive web-based interface.
Manjula Patel, Monica Duke
openaire   +3 more sources

An Adaptive Feature-Based Quantum Genetic Algorithm for Dimension Reduction with Applications in Outlier Detection

Algorithms
Dimensionality reduction is essential in machine learning, reducing dataset dimensions while enhancing classification performance. Feature Selection, a key subset of dimensionality reduction, identifies the most relevant features. Genetic Algorithms (GA)
Tin H. Pham, Bijan Raahemi
doaj   +1 more source

Disruption of pdgfra alters endocardial and myocardial fusion during zebrafish cardiac assembly

Biology Open, 2017
Cardiac development in vertebrates is a finely tuned process regulated by a set of conserved signaling pathways. Perturbations of these processes are often associated with congenital cardiac malformations.
Suzan El-Rass, Shahram Eisa-Beygi, Edbert Khong, Koroboshka Brand-Arzamendi, Antonio Mauro, Haibo Zhang, Karl J. Clark, Stephen C. Ekker, Xiao-Yan Wen   +8 more
doaj   +1 more source

Introduction: The challenge of ubiquitous knowledge discovery

, 2022
S.3 ...
Saitta, L., May, Michael
core   +1 more source

Pre Hoc and Co Hoc Explainability: Frameworks for Integrating Interpretability into Machine Learning Training for Enhanced Transparency and Performance

Applied Sciences
Post hoc explanations for black-box machine learning models have been criticized for potentially inaccurate surrogate models and computational burden at prediction time.
Cagla Acun, Olfa Nasraoui
doaj   +1 more source

Data Science and Knowledge Discovery

Future Internet, 2021
Nowadays, Data Science (DS) is gaining a relevant impact on the community. The most recent developments in Computer Science, such as advances in Machine and Deep Learning, Big Data, Knowledge Discovery, and Data Analytics, have triggered the development ...
Filipe Portela
doaj   +1 more source

A generalisability theory approach to quantifying changes in psychopathology among ultra-high-risk individuals for psychosis

Schizophrenia
Distinguishing stable and fluctuating psychopathological features in young individuals at Ultra High Risk (UHR) for psychosis is challenging, but critical for building robust, accurate, early clinical detection and prevention capabilities.
Zohreh Doborjeh, Oleg N. Medvedev, Maryam Doborjeh, Balkaran Singh, Alexander Sumich, Sugam Budhraja, Wilson Wen Bin Goh, Jimmy Lee, Margaret Williams, Edmund M-K Lai, Nikola Kasabov   +10 more
doaj   +1 more source

Considering semantics on the discovery of relations in knowledge graphs

, 2022
S.666-680Knowledge graphs encode semantic knowledge that can be exploited to enhance different data-driven tasks, e.g., query answering, data mining, ranking or recommendation.
Vidal, Maria-Esther, Flores, A., Palma, Guillermo, Traverso-Ribon, Ignacio   +3 more
core   +1 more source

Application challenges for ubiquitous knowledge discovery

, 2022
S.108 ...
Vanhoof, K., Lauth, Ina
core   +1 more source