Results 111 to 120 of about 15,127 (194)

EFM-DBSCAN: Ein baumbasierter Clusteringalgorithmus unter Ausnutzung erweiterter Leader-Umgebungen

, 2017
DBSCAN ist ein dichte-basierter Clusteringalgorithmus, der beliebig geformte Cluster erkennt und sie von Rauschen trennt. Aufgrund der Laufzeit von O(n^2) ist seine Anwendung jedoch auf kleine Datenkollektionen beschränkt.
Egert, Philipp
core  

Optimasi Seleksi Fitur Menggunakan Algoritma Hybrid ARO-DBSCAN untuk Meningkatkan Akurasi Model Klasifikasi K-Nearest Neighbor: Feature Selection Optimization Using the Hybrid ARO-DBSCAN Algorithm to Improve the Accuracy of the K-Nearest Neighbor Classification Model

Penelitian ini mengusulkan metode ARO-DBSCAN, sebuah pendekatan hybrid yang menggabungkan algoritma optimasi Artificial Rabbits Optimization (ARO) dengan teknik clustering Density-Based Spatial Clustering of Applications with Noise (DBSCAN) untuk ...
Faqih, Muhammad Najmuddin, khairunnisa, Nadhia Adzqiya, Bagaskara, Josephin Nova, Brata, Prayoga Adi, Arini, Florentina Yuni, Anwar, Alfani Salsabilla, Aji, Yusuf Pandu Satrio   +6 more
core   +1 more source

Advanced Demand Prediction for Demand‐Responsive Transit (DRT) Systems: Integrating Graph Convolutional Networks and Deep Learning Techniques

Engineering Reports, Volume 8, Issue 11, November 2026.
This study develops a graph‐based deep learning framework to predict short‐term demand in demand‐responsive transit systems. Using real‐world data from Kalamazoo's Metro Connect, the model supports service zone optimization and infrastructure planning by accurately forecasting spatial–temporal passenger demand with high resolution.
Diana Al‐Nabulsi, Jun‐Seok Oh, Valerian Kwigizile   +2 more
wiley   +1 more source

Large Language Models and Agentic AI for Vulnerability Management: A Systematic Review

Expert Systems, Volume 43, Issue 11, November 2026.
ABSTRACT Large Language Models (LLMs), pretrained language and code models and agentic artificial intelligence are increasingly being investigated across the vulnerability‐management lifecycle. However, the evidence remains fragmented across code‐level prediction, vulnerability‐intelligence enrichment, exploit‐oriented evaluation, automated repair and ...
Yasamin Akrami, Malek Malkawi, Reda Alhajj   +2 more
wiley   +1 more source

DaiLLM: An Agent Framework Based on a Large Language Model and Reinforced by AI to Generate Daily Activity Trajectories

Transactions in GIS, Volume 30, Issue 7, November 2026.
ABSTRACT Simulating human mobility is crucial for urban planning, environmental exposure assessment, and social behavior studies. However, existing methods often rely on rules and assumptions, making it difficult to provide robust results and explicit decision‐making processes when generating plausible daily activity trajectories from sparse location ...
Haoran Ma, Mei‐Po Kwan
wiley   +1 more source

How can machine learning predict cholera: insights from experiments and design science for action research

Journal of Water and Health
Cholera is a leading cause of mortality in Nigeria. The two most significant predictors of cholera are a lack of access to clean water and poor sanitary conditions.
Hauwa Ahmad Amshi, Rajesh Prasad, Birendra Kumar Sharma, Saratu Ilu Yusuf, Zaharaddeen Sani   +4 more
doaj   +1 more source

A COMPARATIVE ANALYSIS OF DBSCAN AND GAUSSIAN MIXTURE MODEL FOR CLUSTERING INDONESIAN PROVINCES BASED ON SOCIOECONOMIC WELFARE INDICATORS

Barekeng
Public welfare refers to a condition in which people experience happiness, comfort, prosperity, and can adequately fulfill their basic needs. Indonesia consists of several provinces, each with varying levels of welfare.
Sri Andayani, Namita Retnani, Thesa Adi Saputra Yusri, Bambang Sumarno Hadi Marwoto   +3 more
doaj   +1 more source

Enhancement over DBSCAN Satellite Spatial Data Clustering

Image processing is a promising technique for enhancing images or extracting useful information from them. One commonly used density-based clustering algorithm is DBSCAN (Density-Based Spatial Clustering of Applications with Noise).
Enas Rezeg Al-Kwaldeh, Mohammad Subhi Al-Batah, Mutaz Abdel Wahed, Mazen Alzyoud, Najah Al-Shanableh   +4 more
core   +1 more source

-ray DBSCAN: a clustering algorithm applied to

, 2013
Context. The density based spatial clustering of applications with noise (DBSCAN) is a topometric algorithm used to cluster spatial data that are affected by background noise.
A. Tramacere, C. Vecchio
core   +1 more source

Performance evaluation of clustering algorithms for protein sequence data

Desimal
Protein sequence data analysis is a fundamental task in bioinformatics, supporting the exploration of biological variations and the identification of functional relationships among proteins.
Gianinna Ardaneswari, Siti Aminah, Mohd Khalid Awang, Anindya Laksmitara, Azkal Azkiya, Fakhrur Razi, Jason Nimrod Joshua Situmeang   +6 more
doaj   +1 more source