Results 91 to 100 of about 36,558 (266)

Kinerja Naive Bayes dan SVM pada Data Survei Tidak Seimbang: Studi Klasifikasi Kepuasan Masyarakat

Edumatic
The utilization of Public Satisfaction Survey (SKM) data has not been optimal, highlighting the need for an effective classification method to determine the level of public satisfaction.
Mellynda Noor Romadhoni, Nurul Anisa Sri Winarsih   +1 more
doaj   +1 more source

A plant–pollinator invasional meltdown: the Japanese pagoda tree Styphnolobium japonicum facilitates the invasion of the giant resin bee Megachile sculpturalis

Oikos, EarlyView.
An invasional meltdown can occur when a non‐native species facilitates the spread of another non‐native species in the invaded area, increasing its likelihood of survival or its ecological impact. Plant–pollinator systems pose an exceptional study system to test this concept, which remains poorly known.
Daniel Echeandía, Jordi Margalef‐Marrasé, Marc Riera, Jordina Belmonte, Julia Lanner, Sonja Mader, David Navarro, Ricardo Caliari Oliveira, Rut Puigdemunt, Carlos Hernández‐ Castellano   +9 more
wiley   +1 more source

A Systematic Analysis of Oversampling and Classic Machine Learning Pipelines for Multilingual Offensive Language Detection in Resource-Constrained Scenarios

IEEE Access
While recent advances in Natural Language Processing (NLP) are increasingly dominated by large-scale deep learning (DL), the detection of offensive language in real-world applications still relies heavily on classical machine learning (ML) approaches due
Avital Rozenthal, Avigail Stekel, Yaakov Hacohen-Kerner   +2 more
doaj   +1 more source

Mitigating Health Disparities Through Empathetic Policymaking During Times of Crisis

Public Administration and Development, EarlyView.
ABSTRACT The COVID‐19 pandemic greatly exacerbated the existing disparities and inequities in health and healthcare among historically marginalized populations. Today, these impacts still echo. These persistent structured inequities erode the public's trust in government, lead to failure in public policies, and result in worse health consequences ...
Yali Pang, Brittany Keegan, Robyn D. McDougle   +2 more
wiley   +1 more source

Low‐Complexity Hybrid Beamforming for LEO Satellites: Beam Update Rate Analysis and Advanced Adaptive Precoding

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Low Earth Orbit (LEO) satellite constellations offer unprecedented opportunities for global broadband connectivity but pose significant beamforming challenges due to rapid platform motion and stringent onboard hardware constraints. Fully digital architectures, while optimal in theory, remain impractical for satellite payloads, motivating ...
Mohammad Momani, Thomas Delamotte, Andreas Knopp   +2 more
wiley   +1 more source

IA-KNNR: A Novel Imbalance-Aware Approach for Handling Multi-Label Class Imbalance Problem

IEEE Access
Multi-label learning (MLL) is a supervised learning where the classifier needs to learn from the data where one instance can belong to more than one class (label).
Himanshu Suyal, Shiv Naresh Shivhare, Gulshan Shrivastava, Rohit Singh, Ansh Singhal   +4 more
doaj   +1 more source

CLEAR Interference Cancellation in a Wideband Dual‐Channel Receiver for Independent Satellite Multi‐Connectivity Links

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT In this paper, the correlation learning estimation and adaptive reduction (CLEAR) of interference, an adaptive, blind and transparent interference compensation method applied in a wideband dual‐channel receiver, is studied for a pair of independent satellite multi‐connectivity links, using the same carrier frequency and signal bandwidth in use
Svilen Dimitrov
wiley   +1 more source

DPC-SMOTE Over-sampling Algorithm for Imbalanced Data Classification

Journal of Harbin University of Science and Technology
An oversampling algorithm based on density peak clustering is proposed to solve the problem of noise and imbalance among classes in imbalanced data sets.
LIU Zhihan, ZHANG Zhonglin, ZHAO Lei
doaj   +1 more source

Transparency, Sustainable Governance and Digital Accessibility in Municipalities: A Machine Learning Approach

Sustainable Development, EarlyView.
ABSTRACT Achieving the Sustainable Development Goals (SDGs) requires transparent and accountable local governments, yet little is known about the structural drivers of municipal transparency. This study introduces a machine learning approach to predict municipal transparency using the Bidimensional Transparency Index (BTI), which measures both the ...
Ana M. Plata‐Díaz, Elisabeth Zafra‐Gómez, Juan C. Garrido‐Rodríguez, M. Carmen Pérez‐López   +3 more
wiley   +1 more source

An oversampling-undersampling strategy for large-scale data linkage

Frontiers in Big Data
Effective record linkage in big data, particularly in imbalanced datasets, is a critical yet highly challenging task due to the inherent complexity involved.
Hossein Hassani, Mohammad Reza Entezarian, Sara Zaeimzadeh, Leila Marvian, Nadejda Komendantova   +4 more
doaj   +1 more source