IoT enabled HELMET to safeguard the health of mine workers
Abstract Information and communication technologies have aided advancements in
providing a healthy and safe working environment at the workplace. Using ICT-based …
providing a healthy and safe working environment at the workplace. Using ICT-based …
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 …
A parametrized comparative analysis of performance between proposed adaptive and personalized tutoring system “seis tutor” with existing online tutoring system
Face-to-face tutoring offers a learning environment that best suits the learner's preferences
(learning styles) and grasping levels (learning levels). This cognitive intelligence has been …
(learning styles) and grasping levels (learning levels). This cognitive intelligence has been …
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 …
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 …
RETRACTED ARTICLE: Automated brain tumordetection and segmentation using modified UNet and ResNet model
NP Bindu, PN Sastry - Soft Computing, 2023 - search.proquest.com
The early automatic detection of brain tumors in MRI scans is a challenging endeavor due to
the high resolution of the images. For a very long time, continual research efforts have been …
the high resolution of the images. For a very long time, continual research efforts have been …
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 …
SeisTutor: a custom-tailored intelligent tutoring system and sustainable education
Education is the cornerstone of improving people's lives and achieving global sustainability.
Intelligent systems assist sustainable education with various benefits, including …
Intelligent systems assist sustainable education with various benefits, including …
[Retracted] Performance Evaluation of SeisTutor Using Cognitive Intelligence‐Based “Kirkpatrick Model”
N Singh, VK Gunjan, R Kadiyala, Q Xin… - Computational …, 2022 - Wiley Online Library
The classroom learning environment facilitates human tutors to interact with every learner
and get the opportunity to understand the learner's psychology and then provide learning …
and get the opportunity to understand the learner's psychology and then provide learning …
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 …