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Toplam kayıt 11, listelenen: 1-10
Deep learning based semantic segmentation and quantification for MRD biochip images
(ELSEVIER SCI LTD, 2022)
Microfluidic platforms offer prominent advantages for the early detection of cancer and monitoring the patient
response to therapy. Numerous microfluidic platforms have been developed for capturing and quantifying the
tumor ...
Distributed Formation Control of Drones With Onboard Perception
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022)
While aerial vehicles offer enormous benefits
in several application domains, multidrone localization and
control in uncertain environments with limited onboard
sensing capabilities remains an active research field. ...
Deep learning approaches for vehicle type classification with 3-D magnetic sensor
(ELSEVIER, 2022)
In the Intelligent Transportation Systems, it is crucial to determine the type of vehicles to improve traffic
management, increase human comfort, and enable future development of transport infrastructures. This paper
presents ...
A review of on-device machine learning for IoT: An energy perspective
(ELSEVIER, 2024)
Recently, there has been a substantial interest in on-device Machine Learning (ML) models to provide intelligence for the Internet of Things (IoT) applications such as image classification, human activity recognition, ...
Human identification using palm print images based on deep learning methods and gray wolf optimization algorithm
(SPRINGER, 2024)
Palm print identification is a biometric technique that relies on the distinctive characteristics of a person’s palm print to distinguish and authenticate their identity. The unique pattern of ridges, lines, and other ...
Deep Learning Based Formation Control of Drones
(Springer Science and Business Media Deutschland GmbH, 2021)
Robot swarms can accomplish demanding missions fast, efficiently, and accurately. For a robust operation, robot swarms need to be equipped with reliable localization algorithms. Usually, the global positioning system (GPS) ...
Super resolution convolutional neural network based pre-processing for automatic polyp detection in colonoscopy images
(PERGAMON-ELSEVIER SCIENCE LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2021)
Abstract
Colonoscopy is the most common methodology used to detect polyps on the colon surface. Increasing the image resolution has the potential to improve the automatic colonoscopy based diagnosis and polyp detection ...
ROSE: A Novel Approach for Protein Secondary Structure Prediction
(Springer Science and Business Media Deutschland GmbH, 2021)
Three-dimensional structure of protein gives important information about protein’s function. Since it is time-consuming and costly to find the structure of protein by experimental methods, estimation of three-dimensional ...
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 ...
Deep Learning Based Employee Attrition Prediction
(SPRINGER LINK, 2023)
Employee attrition is a critical issue for the business sectors as leaving employees cause various types of difficulties for the company. Some studies exist on examining the reasons for this phenomenon and predicting it ...