Ara
Toplam kayıt 170, listelenen: 161-170
An effective colorectal polyp classification for histopathological images based on supervised contrastive learning
(ELSEVIER, 2024)
Early detection of colon adenomatous polyps is pivotal in reducing colon cancer risk. In this context, accurately distinguishing between adenomatous polyp subtypes, especially tubular and tubulovillous, from hyperplastic ...
CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images
(ELSEVIER, 2023)
COVID-19 was one of the deadliest and most infectious illnesses of this century. Research has been done to
decrease pandemic deaths and slow down its spread. COVID-19 detection investigations have utilised Chest
X-ray ...
Stacking Ensemble Learning-Based Wireless Sensor Network Deployment Parameter Estimation
(Institute for Ionics, 2023)
In wireless sensor network projects, it is generally desired to cover the area to be monitored at a given cost and to achieve the
maximum useful network lifetime. In the deployment of the wireless sensors, it is necessary ...
Attack-Aware Dynamic Upstream Bandwidth Assignment Scheme for Passive Optical Network
(Walter de Gruyter GmbH, 2023)
Network security is an important component of today’s networks to combat the security attacks. The passive optical network (PON) works at the medium access layer (MAC). A distributed denial of service (DDOS) attack may be ...
AI-based fog and edge computing: A systematic review, taxonomy and future directions
(ELSEVIER, 2023)
Resource management in computing is a very challenging problem that involves making sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse nature of workload, and the unpredictability of ...
Energy consumption of on-device machine learning models for IoT intrusion detection
(ELSEVIER, 2023)
Recently, Smart Home Systems (SHSs) have gained enormous popularity with the rapid
development of the Internet of Things (IoT) technologies. Besides offering many tangible
benefits, SHSs are vulnerable to attacks that ...
miRdisNET: Discovering microRNA biomarkers that are associated with diseases utilizing biological knowledge-based machine learning
(Frontiers Media S.A., 2023)
During recent years, biological experiments and increasing evidence have shown that microRNAs play an important role in the diagnosis and treatment of human complex diseases. Therefore, to diagnose and treat human complex ...
A toolbox of machine learning software to support microbiome analysis
(Frontiers Media SA, 2023)
The human microbiome has become an area of intense research due to its
potential impact on human health. However, the analysis and interpretation
of this data have proven to be challenging due to its complexity and ...
An empirical study of sentiment analysis utilizing machine learning and deep learning algorithms
(SPRINGER, 2023)
Among text-mining studies, one of the most studied topics is the text classifcation
task applied in various domains, including medicine, social media, and academia.
As a sub-problem in text classifcation, sentiment ...
Review of feature selection approaches based on grouping of features
(PeerJ Inc., 2023)
With the rapid development in technology, large amounts of high-dimensional data have been generated. This high dimensionality including redundancy and irrelevancy poses a great challenge in data analysis and decision ...