Results 11 to 20 of about 279,520 (289)

Machine learning for identification of dental implant systems based on shape – A descriptive study

The Journal of Indian Prosthodontic Society, 2021
Aim: To evaluate the efficacy of machine learning in identification of dental implant systems from panoramic radiographs based on the shape. Settings and Design: In vitro–Descriptive study Materials and Methods: A Dataset of digital panoramic radiographs
Veena Basappa Benakatti, Ramesh P Nayakar, Mallikarjun Anandhalli   +2 more
doaj   +1 more source

Semantic segmentation model for land cover classification from satellite images in Gambella National Park, Ethiopia

SN Applied Sciences, 2023
Article highlights Built semantic segmentation models using machine learning classifiers (SVM and RF), and deep learning using LinkNet with ResNet34 as encoder techniques. Presents the semantic segmentation for land cover classification.
Mulugeta Yikuno Lilay, Gizatie Desalegn Taye   +1 more
doaj   +1 more source

Automated system for classification of COVID-19 infection from lung CT images based on machine learning and deep learning techniques

Scientific Reports, 2022
The objectives of our proposed study were as follows: First objective is to segment the CT images using a k-means clustering algorithm for extracting the region of interest and to extract textural features using gray level co-occurrence matrix (GLCM ...
Bhargavee Guhan, Laila Almutairi, S. Sowmiya, U. Snekhalatha, T. Rajalakshmi, Shabnam Mohamed Aslam   +5 more
doaj   +1 more source

Lightweight Block Cipher Security Evaluation Based on Machine Learning Classifiers and Active S-Boxes

IEEE Access, 2021
Machine learning has recently started to gain the attention of cryptographic researchers, notably in block cipher cryptanalysis. Most of these machine learning-based approaches are black box attacks that are cipher-specific.
Ting Rong Lee, Je Sen Teh, Norziana Jamil, Jasy Liew Suet Yan, Jiageng Chen   +4 more
doaj   +1 more source

Classifying smoking urges via machine learning [PDF]

Computer Methods and Programs in Biomedicine, 2016
Smoking is the largest preventable cause of death and diseases in the developed world, and advances in modern electronics and machine learning can help us deliver real-time intervention to smokers in novel ways. In this paper, we examine different machine learning approaches to use situational features associated with having or not having urges to ...
Antoine, Dumortier, Ellen, Beckjord, Saul, Shiffman, Ervin, Sejdić   +3 more
openaire   +2 more sources

Hyper-Parameter Optimization of Classifiers, Using an Artificial Immune Network and Its Application to Software Bug Prediction

IEEE Access, 2020
Software testing is an important task in software development activities, and it requires most of the resources, namely, time, cost and effort. To minimize this fatigue, software bug prediction (SBP) models are applied to improve the software quality ...
Faiza Khan, Summrina Kanwal, Sultan Alamri, Bushra Mumtaz   +3 more
doaj   +1 more source

Performance evaluation of machine learning based voting classifier system for human activity recognition

Kuwait Journal of Science, 2022
In the last few decades, Human Activity Recognition (HAR) has been a centre of attraction in many research domains, and it is referred to as the potential of interpreting human body gestures through sensors and ascertaining the activity of a human being.
Sonika Jindal, Monika Sachdeva, Alok K. S. Kushwaha   +2 more
doaj   +1 more source

Separability-entanglement classifier via machine learning [PDF]

Physical Review A, 2018
The problem of determining whether a given quantum state is entangled lies at the heart of quantum information processing, which is known to be an NP-hard problem in general. Despite the proposed many methods such as the positive partial transpose (PPT) criterion and the k-symmetric extendibility criterion to tackle this problem in practice, none of ...
Lu, Sirui, Huang, Shilin, Li, Keren, Li, Jun, Chen, Jianxin, Lu, Dawei, Ji, Zhengfeng, Shen, Yi, Zhou, Duanlu, Zeng, Bei   +9 more
openaire   +3 more sources

Machine Learning Classifier Approach with Gaussian Process, Ensemble boosted Trees, SVM, and Linear Regression for 5G Signal Coverage Mapping.

International Journal of Interactive Multimedia and Artificial Intelligence, 2021
This article offers a thorough analysis of the machine learning classifiers approaches for the collected Received Signal Strength Indicator (RSSI) samples which can be applied in predicting propagation loss, used for network planning to achieve maximum ...
Akansha Gupta, Kamal Ghanshala, R. C. Joshi   +2 more
doaj   +1 more source

A performance analysis of dimensionality reduction algorithms in machine learning models for cancer prediction

Healthcare Analytics, 2023
Developments in technology facilitate the use of machine learning methods in medical fields. In cancer research, the combination of machine learning tools and gene expression data has proven its ability to detect cancer patients. However, processing such
Md Faisal Kabir, Tianjie Chen, Simone A. Ludwig   +2 more
doaj   +1 more source