[HTML][HTML] A Review of Rainfall Estimation in Indonesia: Data Sources, Techniques, and Methods
Rainfall information with high spatial and temporal resolution are essential in various fields.
Heavy rainfall in a short period can cause problems and disasters that result in loss of life …
Heavy rainfall in a short period can cause problems and disasters that result in loss of life …
[图书][B] Data mining and exploration: From traditional statistics to modern data science
CHA Yu - 2022 - taylorfrancis.com
This book introduces both conceptual and procedural aspects of cutting-edge data science
methods, such as dynamic data visualization, artificial neural networks, ensemble methods …
methods, such as dynamic data visualization, artificial neural networks, ensemble methods …
Perbandingan Algoritma C4. 5 dan Adaptive Boosting dalam Klasifikasi Penyakit Alzheimer
AA Mortara, M Permatasari, A Desiani… - Jurnal Teknologi dan …, 2023 - ojs.unikom.ac.id
Penyakit alzheimer adalah penyakit yang menyerang sistem saraf di dalam otak. Penyakit
ini dapat menyebabkan terganggunya aktivitas sehari-hari, ingatan yang tidak terorganisir …
ini dapat menyebabkan terganggunya aktivitas sehari-hari, ingatan yang tidak terorganisir …
An ensemble learning strategy for multi‐source hydrogen embrittlement data by introducing missing information
X Gong, R Lei, R Sun, X Jiang, Y Su… - Materials Genome …, 2024 - Wiley Online Library
Accurately and quickly predicting hydrogen embrittlement performance is critical for the
service of metal materials. However, due to multi‐source heterogeneity, existing hydrogen …
service of metal materials. However, due to multi‐source heterogeneity, existing hydrogen …
Detecting DDoS Attacks in US Smart Grids Using Explainable Machine Learning
BB Lefebo - 2024 - search.proquest.com
The integration of cyber-physical networks in the US power grid has increased its
vulnerability to Distributed Denial-of-Service (DDoS) attacks, posting significant threats to …
vulnerability to Distributed Denial-of-Service (DDoS) attacks, posting significant threats to …
Exploring Novel Methodological Approaches for the Analysis of Electroencephalogram Data: Machine Learning and Group Iterative Multiple Model Estimation
S Baral - 2024 - cdr.lib.unc.edu
Abstract Machine learning, particularly Support Vector Machines (SVM), has been widely
utilized in Electroencephalogram (EEG) research to identify significant information within …
utilized in Electroencephalogram (EEG) research to identify significant information within …
[PDF][PDF] Pushing the Boundaries: Classification of Entity Alignment from RDF Embeddings
BGH Happi, GF Pelap, D Symeonidou, P Larmande - semantic-web-journal.net
Entity Alignment (EA) involves identifying entities across two knowledge bases that
represent the same real-world entity. This task is crucial for the automated integration of …
represent the same real-world entity. This task is crucial for the automated integration of …
Information Extraction and Classification on Journal Papers
L Yu - 2021 - digitalcommons.unl.edu
The importance of journals for diffusing the results of scientific research has increased
considerably. In the digital era, Portable Document Format (PDF) became the established …
considerably. In the digital era, Portable Document Format (PDF) became the established …