Cloud-based analysis of large-scale hyperspectral imagery for oil spill detection
JM Haut, S Moreno-Alvarez… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Spectral indices are of fundamental importance in providing insights into the distinctive
characteristics of oil spills, making them indispensable tools for effective action planning …
characteristics of oil spills, making them indispensable tools for effective action planning …
A Comparative Study of Parallel and Distributed Big Data programming models: Methodologies, Challenges and Future Directions
FG Hussain, M Wasim, A Nasir - Lahore Garrison University …, 2023 - lgurjcsit.lgu.edu.pk
According to a survey conducted in 2021, users share about 4 petabytes of data on
Facebook daily. The exponential increase in data (called big data) plays a vital role in …
Facebook daily. The exponential increase in data (called big data) plays a vital role in …
Research on K-Means Clustering Algorithm Based on MapReduce Distributed Programming Framework
L Zhang - Procedia Computer Science, 2023 - Elsevier
As a classical clustering algorithm, K-means algorithm has a profound research background.
In the of big data era, K-means algorithms will play a greater advantage, being able to …
In the of big data era, K-means algorithms will play a greater advantage, being able to …
A Human Resource Evaluation and Recommendation System based on Big Data Mining
X Xing, Q Wen - Scalable Computing: Practice and Experience, 2024 - scpe.org
This investigation presents a paradigm-shifting Human Resource (HR) Assessment and
Recommendation Framework, leveraging progressed huge information mining procedures …
Recommendation Framework, leveraging progressed huge information mining procedures …
[PDF][PDF] Enhancing agricultural operations: big data analytics using distributed and parallel computing
This comprehensive research investigates using distributed and parallel computing for big
data analytics in agriculture to improve farming operations' sustainability, efficiency, and …
data analytics in agriculture to improve farming operations' sustainability, efficiency, and …
Nuevo Modelo para la Predicción de la Visibilidad, para Uso en la Planificación y Dimensionamiento de Sistemas de Comunicaciones Ópticas en el Espacio Libre
AD Pinto-Mangones… - Revista Ibérica de …, 2023 - search.proquest.com
Abstract Palabras-clave: Free-Space Optics, Visibilidad, Modelado, Particle Swarm
Optimization, Planificación y Dimensionamiento Abstract: In this work, a new model is …
Optimization, Planificación y Dimensionamiento Abstract: In this work, a new model is …
[HTML][HTML] AN IN-DEPTH COMPARATIVE STUDY OF DISTRIBUTED DATA PROCESSING FRAMEWORKS: APACHE SPARK, APACHE FLINK, AND HADOOP …
A Gimaletdinova - Вестник науки, 2024 - cyberleninka.ru
Data processing has become a crucial task as the volume and data complexity continue to
grow. Distributed data processing frameworks are the solution to this issue. The paper …
grow. Distributed data processing frameworks are the solution to this issue. The paper …
Feature Selection based Music Selection using Artificial Intelligence
A Bordoloi, M Prasad, H Thumar, M Saloi… - Applied and …, 2023 - ewadirect.com
Music recommendation systems have become increasingly popular in recent years thanks to
artificial intelligence (AI). Streaming services have become increasingly popular in recent …
artificial intelligence (AI). Streaming services have become increasingly popular in recent …
Energy optimization using virtual machine migration for power aware
S Kothari, C Parsad, S Mahajan… - Applied and …, 2023 - ewadirect.com
Using cloud computing, the cloud service can be delivered to the user via an internet
connection. A major concept in cloud computing is virtualization, which allows for the …
connection. A major concept in cloud computing is virtualization, which allows for the …