Security of Internet of Things (IoT) using federated learning and deep learning—Recent advancements, issues and prospects
There is a great demand for an efficient security framework which can secure IoT systems
from potential adversarial attacks. However, it is challenging to design a suitable security …
from potential adversarial attacks. However, it is challenging to design a suitable security …
A review on imbalanced data classification techniques
Most all datasets that hold real-time data have an imbalanced organization of class
instances. The total quantity of instances in certain classes is substantially greater than other …
instances. The total quantity of instances in certain classes is substantially greater than other …
Deep Learning and Machine Learning Based Efficient Framework for Image Based Plant Disease Classification and Detection
Without agriculture, human existence would be inconceivable. A large percentage of the
world's population relies on agriculture for their daily needs. In addition, it creates a big …
world's population relies on agriculture for their daily needs. In addition, it creates a big …
Robust optimization based extreme learning machine for sentiment analysis in big data
P Menakadevi, J Ramkumar - 2022 International Conference …, 2022 - ieeexplore.ieee.org
Increasing use of social media has increased consumer interest in reading product
evaluations and ratings before making a purchase. There is now a mechanism to examine …
evaluations and ratings before making a purchase. There is now a mechanism to examine …
Energy consumption minimization in cognitive radio mobile ad-hoc networks using enriched ad-hoc on-demand distance vector protocol
J Ramkumar, C Kumuthini… - 2022 International …, 2022 - ieeexplore.ieee.org
Ad-hoc networks with poor routing affects the complete network and it leads to enhanced
delay in delivering the packets to destination and consumption of energy in an exhaustive …
delay in delivering the packets to destination and consumption of energy in an exhaustive …
Medical healthcare system with hybrid block based predictive models for quality preserving in medical images using machine learning techniques
Cloud technology is a business strategy that aims to provide the necessary material to
customers depending on their needs. Individuals and cloud businesses alike have …
customers depending on their needs. Individuals and cloud businesses alike have …
A new Diagnosis using a Parkinson's Disease XGBoost and CNN-based classification model Using ML Techniques
Parkinson's disease (PD) is a neurological condition that affects the brain of the human body
and causes difficultywalking, shaking, stiffness, and loss of balance and coordination. Most …
and causes difficultywalking, shaking, stiffness, and loss of balance and coordination. Most …
Comparative analysis of supervised machine learning techniques for AQI prediction
A Pant, S Sharma, M Bansal… - … Conference on Advanced …, 2022 - ieeexplore.ieee.org
Air pollution is a significant challenge in a populated area. This paper focuses on predicting
air quality index using supervised machine learning techniques in the capital city of …
air quality index using supervised machine learning techniques in the capital city of …
Optimizing intrusion detection in industrial cyber-physical systems through transfer learning approaches
Abstract Applications of Cyber-Physical Systems (CPSs) greatly influenceseveral industrial
sectors. Treating security-related concerns with utmost seriousness is necessary for the CPS …
sectors. Treating security-related concerns with utmost seriousness is necessary for the CPS …
Development of machine learning based framework for classification and prediction of students in virtual classroom environment
B Loganathan, I Patra, V Garchar… - 2022 International …, 2022 - ieeexplore.ieee.org
MOOCs provide a new way to train students, reshape the way students learn, and attract
students from all over the world to participate in their courses. Machine learning is a key …
students from all over the world to participate in their courses. Machine learning is a key …