Results 21 to 30 of about 1,547,567 (330)

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

A Comprehensive Investigation of the Performances of Different Machine Learning Classifiers with SMOTE-ENN Oversampling Technique and Hyperparameter Optimization for Imbalanced Heart Failure Dataset

Scientific Programming, 2022
Heart failure is a chronic cardiac condition characterized by reduced supply of blood to the body due to impaired contractile properties of the muscles of the heart.
Mirza Muntasir Nishat, Fahim Faisal, Ishrak Jahan Ratul, Abdullah Al-Monsur, Abrar Mohammad Ar-Rafi, S. M. Nasrullah, Md. Taslim Reza, Md. Rezaul Hoque Khan   +7 more
semanticscholar   +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

Gradient Boosting Feature Selection With Machine Learning Classifiers for Intrusion Detection on Power Grids

IEEE Transactions on Network and Service Management, 2021
Smart grids rely on SCADA (Supervisory Control and Data Acquisition) systems to monitor and control complex electrical networks in order to provide reliable energy to homes and industries.
D. Upadhyay, Jaume Manero, Marzia Zaman, S. Sampalli   +3 more
semanticscholar   +1 more source

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

Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations - A Review

Remote Sensing, 2020
Rapid and uncontrolled population growth along with economic and industrial development, especially in developing countries during the late twentieth and early twenty-first centuries, have increased the rate of land-use/land-cover (LULC) change many ...
Swapan Talukdar, P. Singha, Susanta Mahato, Shahfahad, Swades Pal, Y. Liou, Atiqur Rahman   +6 more
semanticscholar   +1 more source