DGBPSO-DBSCAN: An Optimized Clustering Technique based on Supervised/Unsupervised Text Representation

AK Abdulsahib, MA Balafar, A Baradarani - IEEE Access, 2024 - ieeexplore.ieee.org
Density-based spatial clustering of noisy applications (DBSCAN), a widely used density-
based clustering technique, faces challenges in determining its key parameter, Eps, leading …

[PDF][PDF] Pemanfaatan Artificial intelligence dalam Pembuatan Presentasi bagi Guru-Guru Brainfor Islamic School Kisaran

D Maharani, D Anggraeni… - Journal Of Indonesian …, 2024 - pdfs.semanticscholar.org
Abstrak Pengabdian Masyarakat berjudul" Pemanfaatan Artificial Intelligence dalam
Pembuatan Slide Presentasi bagi Guru-Guru” ini merupakan upaya mendukung inovasi …

Workload prioritization and optimal task scheduling in cloud: introduction to hybrid optimization algorithm

Y Pachipala, DB Dasari, VVRM Rao, P Bethapudi… - Wireless …, 2024 - Springer
Cloud computing represents an evolved form of cluster, client server, and grid computing,
enabling users to seamlessly access resources over the internet. The quality and reliability …

Predictive methods for CO2 emissions and energy use in vehicles at intersections

M Mądziel - Scientific Reports, 2025 - nature.com
This study examines CO2 emissions and vehicle energy consumption at high-traffic
intersections in urban areas. Existing emission models at the macro, meso, and microscales …

Real-time service task scheduling with fine-grained resource utilization to benefit important industrial business

G Chen, J Zhang, W Cui, J Hu, Y Peng - Computers & Industrial …, 2024 - Elsevier
Scheduling of service-oriented industrial businesses to meet the real-time requirements and
improve the computing resources utilization is important. To this end, a Fine-grained Online …

Anomaly Detection in Restaurant Receipts Data

IP Malashin, IS Masich, VS Tynchenko… - IEEE …, 2024 - ieeexplore.ieee.org
Checking receipt data is essential for tax authorities to ensure compliance with financial
reporting regulations, identify potential anomalies, and prevent tax violations. This study …

A multi-process parallel clustering algorithm for resource reconfiguration in cloud manufacturing

B Liang, J Gao - The Journal of Supercomputing, 2025 - Springer
Resource reconfiguration can integrate and optimize manufacturing resources (MRs) into
various resource sets, enhancing overall resource management in cloud manufacturing …

A Novel Hybrid Algorithm Based on Butterfly and Flower Pollination Algorithms for Scheduling Independent Tasks on Cloud Computing.

S Huiying - … Journal of Advanced Computer Science & …, 2025 - search.ebscohost.com
Cloud computing is an Internet-based computing paradigm where virtual servers or
workstations are offered as platforms, software, infrastructure, and resources. Task …

Optimizing Earthquake Forecast Through Clustering: K-Means and DBSCAN Approaches

IM Rajagukguk, BK Lukito… - 2024 International …, 2024 - ieeexplore.ieee.org
An earthquake happens when the energy from the fracture of rock strata within the crust
causes the earth to vibrate. Earth's surface experiences seismic waves because of this …

The Role of Digital Trust in Enhancing Cyber Security Resilience

PK Malik - Transforming Industry using Digital Twin Technology, 2024 - Springer
Digital trust and cyber-security are two of the most important aspects of modern technology.
Digital trust is the confidence that users have in the security of their digital assets, such as …