Predicting academic performance of students using a hybrid data mining approach

BK Francis, SS Babu - Journal of medical systems, 2019 - Springer
Data mining offers strong techniques for different sectors involving education. In the
education field the research is developing rapidly increasing due to huge number of …

Performance of ANN, SVM and MLH techniques for land use/cover change detection at Sultan Marshes wetland, Turkey

MH Kesikoglu, UH Atasever… - Water Science and …, 2019 - iwaponline.com
Wetlands are among the most productive ecosystems that provide services ranging from
flood control to climate change mitigation. Wetlands are also critical habitats for the survival …

Detection and Localization of Early‐Stage Multiple Brain Tumors Using a Hybrid Technique of Patch‐Based Processing, k‐means Clustering and Object Counting

M Nasor, W Obaid - International Journal of Biomedical …, 2020 - Wiley Online Library
Brain tumors are a major health problem that affect the lives of many people. These tumors
are classified as benign or cancerous. The latter can be fatal if not properly diagnosed and …

Evaluating the impact of land use and land cover change on unprotected wetland ecosystems in the arid-tropical areas of South Africa using the Landsat dataset and …

KH Thamaga, T Dube, C Shoko - Geocarto International, 2022 - Taylor & Francis
The study explored the impact of Land Use and Land Cover (LULC) change dynamics in
relation to the condition and status of an unprotected wetland located in the arid-tropical …

Automated Diagnosis of Neuromuscular Disorders using EMG Signals

D Cherifi, IS Salah, T Chihaoui… - … Conference on Bio …, 2023 - ieeexplore.ieee.org
Electromyography (EMG) signals are anatomical and physiological properties
representation of muscles; their analysis is crucial for diagnosing neuromuscular diseases …

The use of machine learning to predict the main factors that influence the continuous usage of mobile food delivery apps

AA Rabaa'i, X Zhu, JD Jayaraman… - Model Assisted …, 2022 - content.iospress.com
The popularity of mobile food delivery apps (MFDAs) and the online food delivery industry
surged during the COVID-19 epidemic. Despite the explosive growth in the use of these …

The impact of impervious surface, vegetation, and soil areas on land surface temperatures in a semi-arid region using Landsat satellite images enriched with Ndaisi …

MH Kesikoglu, C Ozkan, T Kaynak - Environmental Monitoring and …, 2021 - Springer
Impervious surfaces are a significant issue of both urbanization and environmental
assessment. However, it is a problem to classify impervious surface (IS) and soil areas as …

An effective brain tumor detection system using Extended Linear Boosting (ELB) classification algorithm

R Carol Praveen, G Mohan Babu - IETE Journal of Research, 2023 - Taylor & Francis
Automated computer-aided soft computing methods are presently used to detect the tumor
regions in brain images. In this paper, the tumor cells are detected in the brain Magnetic …

Multi-font Curved Text Scene for Enhanced OCR Readability

PM Jena, BK Tripathy, SK Parida - Proceedings of International …, 2022 - Springer
Newspapers contain artistic components like headings, advertisements and different stylish
posters, which are printed in such a way that text lines are oriented in differently and contain …

[PDF][PDF] Εκτίμηση ύπαρξης άγχους κατά την εκτέλεση διαγνωστικού ελέγχου Covid-19 με χρήση Μηχανικής Μάθησης

Γ Μπίτσικας - 2024 - dspace.lib.ntua.gr
Περίληψη Η πανδημία Covid-19 αποτελεί ένα γεγονός το οποίο επηρέασε και συνεχίζει να
επηρεάζει πολλές πτυχές τόσο της εγχώριας αλλά και της παγκόσμιας κοινωνίας. Η …