Detection of lung cancer in CT scans using grey wolf optimization algorithm and recurrent neural network
Purpose For radiologists, identifying and assessing thelung nodules of cancerous form from
CT scans is a difficult and laborious task. As a result, early lung growing prediction is …
CT scans is a difficult and laborious task. As a result, early lung growing prediction is …
Rating‐Based Recommender System Based on Textual Reviews Using IoT Smart Devices
Recommender system (RS) is a unique type of information clarification system that
anticipates the user's evaluation of items from a large pool based on the expectations of a …
anticipates the user's evaluation of items from a large pool based on the expectations of a …
Data analytics in farming: rice price prediction in Andhra Pradesh
The variances regarding prices of horticultural commodities adversely affect the nations
GDP. The ranchers are genuinely and monetarily influenced as their long stretches of …
GDP. The ranchers are genuinely and monetarily influenced as their long stretches of …
CNN‐Based Brain Tumor Detection Model Using Local Binary Pattern and Multilayered SVM Classifier
In this paper, an autonomous brain tumor segmentation and detection model is developed
utilizing a convolutional neural network technique that included a local binary pattern and a …
utilizing a convolutional neural network technique that included a local binary pattern and a …
Security in IoT mesh networks based on trust similarity
Internet of Things (IoT) Mesh networks are becoming very popular to enable IoT devices to
communicate without relying on dedicated PC services. The Internet of Things (IoT) implicitly …
communicate without relying on dedicated PC services. The Internet of Things (IoT) implicitly …
Data cleaning and restoring method for vehicle battery big data platform
Battery is one of the most important and costly devices in electric vehicles (EVs). Develo**
an efficient battery management method is of great significance to enhancing vehicle safety …
an efficient battery management method is of great significance to enhancing vehicle safety …
Deep learning and transfer learning for malaria detection
Infectious disease malaria is a devastating infectious disease that claims the lives of more
than 500,000 people worldwide every year. Most of these deaths occur as a result of a …
than 500,000 people worldwide every year. Most of these deaths occur as a result of a …
Detection of Cardio Vascular abnormalities using gradient descent optimization and CNN
Purpose The purpose of this study is to propose an advanced methodology for automated
diagnosis and classification of heart conditions using electrocardiography (ECG) in order to …
diagnosis and classification of heart conditions using electrocardiography (ECG) in order to …
Identification of Malaria Disease Using Machine Learning Models
Malaria, caused by Plasmodium parasites in the bloodstream spread by infected
mosquitoes, is a highly severe and sometimes deadly disease. Image analysis and machine …
mosquitoes, is a highly severe and sometimes deadly disease. Image analysis and machine …
Cooperative scheme ToA‐RSSI and variable anchor positions for sensors localization in 2D environments
To rich good accuracy in the 2D area for wireless sensor network (WSN) nodes, a
localization method has to be selected. The objective of this paper is first to select which …
localization method has to be selected. The objective of this paper is first to select which …