Bone cancer detection using feature extraction based machine learning model

A Sharma, DP Yadav, H Garg, M Kumar… - … Methods in Medicine, 2021 - Wiley Online Library
Bone cancer is considered a serious health problem, and, in many cases, it causes patient
death. The X‐ray, MRI, or CT‐scan image is used by doctors to identify bone cancer. The …

IoMT-based osteosarcoma cancer detection in histopathology images using transfer learning empowered with blockchain, fog computing, and edge computing

MU Nasir, S Khan, S Mehmood, MA Khan, A Rahman… - Sensors, 2022 - mdpi.com
Bone tumors, such as osteosarcomas, can occur anywhere in the bones, though they
usually occur in the extremities of long bones near metaphyseal growth plates …

A trust-based model for secure routing against RPL attacks in internet of things

SM Muzammal, RK Murugesan, NZ Jhanjhi… - Sensors, 2022 - mdpi.com
In IoT networks, the de facto Routing Protocol for Low Power and Lossy Networks (RPL) is
vulnerable to various attacks. Routing attacks in RPL-based IoT are becoming critical with …

Enhanced binary genetic algorithm as a feature selection to predict student performance

SS Shreem, H Turabieh, S Al Azwari, F Baothman - Soft Computing, 2022 - Springer
Students' performance prediction systems play a vital role in enhancing the educational
performance inside universities, schools, and training centers. Big data can come from …

Research on cosine similarity and pearson correlation based recommendation models

SC Mana, T Sasipraba - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Recommendation models are based on data mining and machine learning techniques to
suggest product and services to users. Advancement in the machine learning field results in …

Automatic detection of faults in race walking: A comparative analysis of machine-learning algorithms fed with inertial sensor data

J Taborri, E Palermo, S Rossi - Sensors, 2019 - mdpi.com
The validity of results in race walking is often questioned due to subjective decisions in the
detection of faults. This study aims to compare machine-learning algorithms fed with data …

Emotion classification using flexible analytic wavelet transform for electroencephalogram signals

V Bajaj, S Taran, A Sengur - Health information science and systems, 2018 - Springer
Emotion based brain computer system finds applications for impaired people to
communicate with surroundings. In this paper, electroencephalogram (EEG) database of …

Damage classification using supervised self-organizing maps in structural health monitoring

GA Angulo-Saucedo, JX Leon-Medina… - Sensors, 2022 - mdpi.com
Improvements in computing capacity have allowed computers today to execute increasingly
complex tasks. One of the main benefits of these improvements is the possibility of …

Using deep learning in severity analysis of at-fault motorcycle rider crashes

S Das, A Dutta, K Dixon… - Transportation …, 2018 - journals.sagepub.com
Motorcyclists are vulnerable highway users. Unlike passenger vehicle occupants,
motorcycle riders do not have either protective structural surrounding or the advanced …

A review of marketing recommendation systems

LY Abed, MM Hamad, AJ Aljaaf - AIP Conference Proceedings, 2023 - pubs.aip.org
Human nature tends to follow certain patterns in comparing the available options, the
recommendation system is one of the secrets of the success of many companies, and this …