Process-oriented stream classification pipeline: A literature review
L Clever, JS Pohl, J Bossek, P Kerschke… - Applied Sciences, 2022 - mdpi.com
Featured Application Nowadays, many applications and disciplines work on the basis of
stream data. Common examples are the IoT sector (eg, sensor data analysis), or video …
stream data. Common examples are the IoT sector (eg, sensor data analysis), or video …
Visual Perception Optimization of Residential Landscape Spaces in Cold Regions Using Virtual Reality and Machine Learning
X Li, K Huang, R Zhang, Y Chen, Y Dong - Land, 2024 - mdpi.com
The visual perception of landscape spaces between residences in cold regions is important
for public health. To compensate for the existing research ignoring the cold snow season's …
for public health. To compensate for the existing research ignoring the cold snow season's …
Statistics and Analysis of Targeted Poverty Alleviation Information Integrated with Big Data Mining Algorithm
M Gao, L Li, Y Gao - Security and Communication Networks, 2022 - Wiley Online Library
To gain a more comprehensive and systematic understanding of the impact of government
assistance to poor households on poverty reduction targets, a targeted poverty alleviation …
assistance to poor households on poverty reduction targets, a targeted poverty alleviation …
A case study for performance analysis of big data stream classification using spark architecture
A variety of huge data is being produced at an incredibly high speed in different sectors. Due
to the large location of computing devices, the large volume of information is increasingly …
to the large location of computing devices, the large volume of information is increasingly …
Intelligent analysis and processing technology of big data based on clustering algorithm
Z Zheng, F Cao, S Gao, A Sharma - Informatica, 2022 - informatica.si
In order to study the big data intelligent analysis and processing technology based on
clustering algorithm, an attribute category clustering method based on hierarchical …
clustering algorithm, an attribute category clustering method based on hierarchical …
Transfer learning of pre-trained CNNs on digital transaction fraud detection
CG Tekkali, K Natarajan - International Journal of Knowledge …, 2024 - journals.sagepub.com
This article proposes an artificial intelligence-empowered and efficient detection approach
for customers with Severe Failure in Digital Transactions (SFDT) through a deep transfer …
for customers with Severe Failure in Digital Transactions (SFDT) through a deep transfer …
Pothole detection using convolutional neural network
A pothole is the most prevalent sort of road issue that must be assessed before repairs can
be carried out. Along with the regular wear and tear of vehicles, it is a major factor in traffic …
be carried out. Along with the regular wear and tear of vehicles, it is a major factor in traffic …
Text stream classification: Literature review and current trends
Text stream classification is the task of assigning labels to a sequence of text data as it
arrives in real time. This is a challenging task because the data is often incomplete and …
arrives in real time. This is a challenging task because the data is often incomplete and …
Data Streams and Beyond, From Traditional Approaches to Quantum: A Comprehensive Survey
AI Weinberg - From Traditional Approaches to Quantum: A …, 2024 - papers.ssrn.com
Datastreams serve as the fundamental conduits of information in contemporary society,
playing a pivotal role in various aspects of our daily lives. This paper delves into the …
playing a pivotal role in various aspects of our daily lives. This paper delves into the …
Lung Cancer Detection Through Deep Neural Networks Using CT Scan Images
Cancer is one of the most disastrous and life-threatening diseases to human beings among
which lung cancer affects more than an estimated 2.3 million people around the world each …
which lung cancer affects more than an estimated 2.3 million people around the world each …