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Misclassification analysis for the class imbalance problem [PDF]
In classification, the class imbalance issue normally causes the learning algorithm to be dominated by the majority classes and the features of the minority classes are sometimes ignored.
Fung, C.C. +3 more
core +1 more source
StackInsights: Cognitive Learning for Hybrid Cloud Readiness
Hybrid cloud is an integrated cloud computing environment utilizing a mix of public cloud, private cloud, and on-premise traditional IT infrastructures.
Bathen, Luis +4 more
core +1 more source
Purpose – Accelerated by the COVID-19 epidemic, the move to online and hybrid learning settings has underlined the need for constructivist ideas in contemporary education.
Faiz Rizqullah Pratama +5 more
doaj +1 more source
The Covid-19 pandemic in Indonesia led a shift in university learning policies towards a hybrid learning model. The objective of this study is to determine how English literature students feel about the workload and time suitability of hybrid learning ...
Ahmad Jum’a Khatib, Yasir Riady
doaj +1 more source
Hybrid Learning as an Effective Learning Solution on Intensive English Program in the New Normal Era
In this new normal era, the government has implemented new normal policies in various lines including education. This situation requires school community to adapt to this new normal era by complying with the health protocols set by the government.
Muhammad Nashir, Roudlotun Nurul Laili
semanticscholar +1 more source
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley +1 more source
Integrating Conflict Driven Clause Learning to Local Search
This article introduces SatHyS (SAT HYbrid Solver), a novel hybrid approach for propositional satisfiability. It combines local search and conflict driven clause learning (CDCL) scheme. Each time the local search part reaches a local minimum, the CDCL is
Bertrand Mazure +5 more
core +3 more sources
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Multiple Instance Hybrid Estimator for Learning Target Signatures
Signature-based detectors for hyperspectral target detection rely on knowing the specific target signature in advance. However, target signature are often difficult or impossible to obtain.
Jiao, Changzhe, Zare, Alina
core +1 more source
The principal concern of this research was to learn more about effective designs of learning activities in blended courses. A questionnaire was administered in three sections of a not-for-credit intensive blended graduate seminar in university teaching.
Alicia Cundell, Emily Sheepy
doaj +1 more source

