J. Arun Pandian
YOU?
Author Swipe
View article: Enhanced exploration in reinforcement learning using graph neural network based intrinsic reward mechanism
Enhanced exploration in reinforcement learning using graph neural network based intrinsic reward mechanism Open
We propose a Graph Neural Network-based Intrinsic Reward Learning (GNN-IRL) framework to address the exploration–exploitation trade-off in Reinforcement Learning (RL). This approach leverages the structural modeling capabilities of Graph N…
View article: A Trusted Multi-Cloud Brokerage System for Validating Cloud Services Using Ranking Heuristics
A Trusted Multi-Cloud Brokerage System for Validating Cloud Services Using Ranking Heuristics Open
Cloud computing offers a broad spectrum of services to users, particularly in multi-cloud environments where service-centric features are introduced to support users from multiple endpoints. To improve service availability and optimize the…
View article: Enhanced Multi-Level Recommender System Using Turnover-Based Weighting for Predicting Regional Preferences
Enhanced Multi-Level Recommender System Using Turnover-Based Weighting for Predicting Regional Preferences Open
In the realm of recommender systems, the prediction of diverse customer preferences has emerged as a compelling research challenge, particularly for multi-state business organizations operating across various geographical regions. Collabor…
View article: Enhancing lane detection in autonomous vehicles with multi-armed bandit ensemble learning
Enhancing lane detection in autonomous vehicles with multi-armed bandit ensemble learning Open
This study introduces a novel ensemble learning technique namely Multi-Armed Bandit Ensemble (MAB-Ensemble), designed for lane detection in road images intended for autonomous vehicles. The foundation of the proposed MAB-Ensemble technique…
View article: A Container‐Based Cloud Broker for Effective Service Provisioning in Multicloud Environment
A Container‐Based Cloud Broker for Effective Service Provisioning in Multicloud Environment Open
Container‐based cloud brokers are third‐party services that act as an intermediate entity between users and multiple cloud providers. The cloud brokers intended to perform discovery and provisioning of cloud services with an affordable pri…
View article: A novel MAC protocol for power line communication with integrated NFC for smart home applications
A novel MAC protocol for power line communication with integrated NFC for smart home applications Open
Our day-to-day lives have become comfortable and sophisticated with many recent technologies. Likewise, today’s world has been enhanced by new innovative technologies. Everyone is moving towards smart cities and smart homes. Power-Line Com…
View article: A Novel Convolutional Neural Network Model for Automatic Speaker Identification From Speech Signals
A Novel Convolutional Neural Network Model for Automatic Speaker Identification From Speech Signals Open
Since voice communication is the most frequent form of human communication, it is necessary to identify each speaker in a discussion. The development of advanced computer processing units, deep learning techniques and publicly available da…
View article: A Forecasting Approach to Cryptocurrency Price Index Using Reinforcement Learning
A Forecasting Approach to Cryptocurrency Price Index Using Reinforcement Learning Open
Cryptocurrency has emerged as a well-known significant component with both economic and financial potential in recent years. Unfortunately, Bitcoin acquisition is not simple, due to uneven business and significant rate fluctuations. Tradit…
View article: Grey Blight Disease Detection on Tea Leaves Using Improved Deep Convolutional Neural Network
Grey Blight Disease Detection on Tea Leaves Using Improved Deep Convolutional Neural Network Open
We proposed a novel deep convolutional neural network (DCNN) using inverted residuals and linear bottleneck layers for diagnosing grey blight disease on tea leaves. The proposed DCNN consists of three bottleneck blocks, two pairs of convol…
View article: Design of Crossed Dipole Yagi–Uda MIMO Antenna for Radar Applications
Design of Crossed Dipole Yagi–Uda MIMO Antenna for Radar Applications Open
This work proposes, builds, and manufactures a small, high-gain MIMO antenna for radar applications. Using a Parasitic elements such as director & reflector show a simple method for increasing the gain and bandwidth of a Yagi-Uda Antenna. …
View article: An Improved Deep Residual Convolutional Neural Network for Plant Leaf Disease Detection
An Improved Deep Residual Convolutional Neural Network for Plant Leaf Disease Detection Open
In this research, we proposed a novel deep residual convolutional neural network with 197 layers (ResNet197) for the detection of various plant leaf diseases. Six blocks of layers were used to develop ResNet197. ResNet197 was trained and t…
View article: Plant Disease Detection Using Deep Convolutional Neural Network
Plant Disease Detection Using Deep Convolutional Neural Network Open
In this research, we proposed a novel 14-layered deep convolutional neural network (14-DCNN) to detect plant leaf diseases using leaf images. A new dataset was created using various open datasets. Data augmentation techniques were used to …
View article: A Five Convolutional Layer Deep Convolutional Neural Network for Plant Leaf Disease Detection
A Five Convolutional Layer Deep Convolutional Neural Network for Plant Leaf Disease Detection Open
In this research, we proposed a Deep Convolutional Neural Network (DCNN) model for image-based plant leaf disease identification using data augmentation and hyperparameter optimization techniques. The DCNN model was trained on an augmented…
View article: Time Series Data Error Optimization through Three Stacked Long Short-Term Memory
Time Series Data Error Optimization through Three Stacked Long Short-Term Memory Open
Evidence gathered on the same component over a period at various points in time are known as time series. In order to make predictions and guide strategic decision-making, time series forecasting means examining time series da-ta using sta…