Contents
Secure Goods Storage and Anti-Theft Approach using Ethereum Blockchain
At present, technological systems lack a secure and transparent method for tracking goods and preventing theft in e-commerce, leading to trust issues and data vulnerabilities. There is a pressing need for a comprehensive solution that integrates ...
An Enhanced Dynamic Multi-Path Routing Algorithm for Software Defined Networks
Software-defined networking (SDN) is an emerging technology that addresses the limitations of legacy networks when handling the growing traffic demands. Legacy networks face issues like heavy traffic loads, congestion and delays. SDN offers a ...
Integrated Leaf Disease Recognition Across Diverse Crops through Transfer Learning
Global food security is seriously threatened by plant diseases and can cause severe economic losses to farmers. Automated detection of plant diseases using computer vision and machine learning techniques has become a popular research area due to ...
A Pre-Trained Model for Aspect-based Sentiment Analysis Task: using Online Social Networking
Aspect-based sentiment analysis (ABSA) is a crucial part of Natural Language Processing (NLP) that focuses on identifying emotions related to specific elements in written material. ABSA has gained widespread interest due to its ability to provide ...
Insightful Clinical Assistance for Anemia Prediction with Data Analysis and Explainable AI
Anemia among young people has positive correlation with susceptibility and impede cognitive development. As per WHO 2019 statistics global prevalence rate of anemia is 33 percent. This work aims to predict anemia with inferences to identify the ...
Solar Irradiance Forecasting using Improved Sample Convolution and Interactive learning
Renewable energy sources, driven by the global concern for climate change and the urgent need to reduce greenhouse gas emissions, are gaining increasing importance. Among them, solar energy stands out as a crucial renewable source and accurate ...
Revolutionizing Missing Data Handling with RFKFCM: Random Forest-based Kernelized Fuzzy C-Means
Missing values are a prevalent issue, frequently leading to a considerable decline in the quality of data. Therefore, it becomes imperative to adeptly manage missing data. This study presents a technique for imputing missing values that ...
An Effective Deployment of Controllers in Software-Defined Networks
Network performance has become a crucial consideration in ensuring a flawless user experience in the era of data-intensive applications and cloud computing. Traditional Networks are not suitable for solving such issues, so Software-defined ...
A Novel Architecture for Community Detection Between Large Social Media Creators
This study explores the intricate web of audience overlap among streamers on live streaming platforms. The extensive growth of streaming services has led to a proliferation of individual streamers. A comprehensive understanding of the audience ...
Enhancing Veracity: Empirical Evaluation of Fake News Detection Techniques
The relentless surge in the dissemination of fabricated news articles and misleading information poses a substantial threat to the veracity of information, trust in media sources, and the very foundations of democratic processes. In the ...
IndEmoVis: A Multimodal Repository for In-Depth Emotion Analysis in Conversational Contexts
Emotion recognition holds significant importance in human communication, benefiting various domains like human-computer interaction, affective computing, and social robotics. Recent interest lies in exploiting multimodal data, encompassing audio, ...
Privacy in Smart Homes with Remote User Authenticated Key Establishment Protocol
The Internet of Things (IoT) is a set of devices that contain electronic software, sensors, and actuators and exchange information using the Internet or network. Because of multiple applications, the number of IoT devices and sensors is increasing ...
Prediction of Consultation Wait Time in Outpatient Clinic: An Approach using Neural Network with Optimized Feature Selection
Outpatient clinics globally grapple with the uncertainty of patient wait times, a critical factor affecting patient satisfaction. Extended waiting periods are often perceived as a hindrance to timely care, generating stress for both patients and ...
A Multithreaded-BFS Algorithm for Optimizing the Graph Computation in Multicore Processing System
Graphs are the most complex data structure that involves heavy mathematical computations. Various real-time applications use the graph at storage, processing, object characterization, and behavior specification stages. The connectivity analysis, ...
Analysis of Block Chain Applications in Asset Backed Securitization System
Blockchain is an emerging technology penetrating various real-time and sensitive domains including financial products. Block chain can deal with complex system of financial transactions with focus to provide security and integrity to both the ...
Machine Learning Approach for Predicting the Net Asset Value (NAV) of Mutual Funds based on Portfolio Holdings
Mutual funds, a cornerstone of modern investment portfolios, offer investors a diversified and professionally managed approach to financial growth. These investment vehicles collect small amount from multiple investors and invests the collective ...
Attention-Based AdaptSepCX Network for Effective Student Action Recognition in Online Learning
In the realm of online learning and distance education, the issue of inadequate supervision looms large, posing a significant obstacle. This paper delves into the challenges posed by the lack of supervision in online learning environments and ...
DDoS Attack Detection Model using Machine Learning Algorithm in Next Generation Firewall
Next generation firewall is taking major part to secure network environment in the industry. This device will monitor all the traffic which is coming inside the network or going outside of the network. With all these security devices attackers can ...
Echoes of Truth: Unraveling Homophily in Attributed Networks for Rumor Detection
The surge in information and misinformation during the COVID-19 pandemic, particularly regarding 5G-related rumors, was prominent on various social media platforms, notably Twitter. This study addresses the pervasive issue of rumor propagation on ...
Immutable COVID-19 Vaccination Certificate using Blockchain
The COVID-19 pandemic has presented numerous challenges around the world, including lockdowns, remote working and studying, and travel restrictions imposed by governments to curb the spread of the virus. As vaccines have become more widely ...
Enhancement of Multiclass Dermoscopic Image Classification with a Fusion Model and Fine-Tuned Deep Neural Networks
Since malignancy of the skin is a frequent and sometimes fatal illness, prompt and precise detection is essential to successful treatment. Dermoscopic imaging is now emerging as a helpful tool for dermatologists in aiding with the identification ...
Optimizing Speaker Identification through SincsquareNet and SincNet Fusion with Attention Mechanism
Advancements in machine learning and deep learning benefit access control systems, forensics, and biometrics particularly in speaker identification systems. The SincNet architecture is a distinct convolutional neural network (CNN) designed for ...
Segmentation and Classification of Diabetic Retinopathy using Ensemble Deep Neural Network
Diabetic Retinopathy (DR) is an eye ailment in diabetics, often causing vision loss. Timely retinal screenings can help prevent blindness. While DR cannot be cured, early detection can curb vision decline. Ophthalmologists diagnose DR using ...
Analysis of Lightweight Cryptographic Algorithms for IoT Gateways
This research work explores the growing role of IoT devices in daily life and the increasing demand for secure data transmission in different sectors like healthcare, military, etc. Moreover, this study focuses on the recent advancements in ...
Renewable Energy Trading Platform using Blockchain
As the demand for renewable energy grows, there is a need for efficient and transparent mechanisms to facilitate renewable energy trading. This research presents a novel Renewable Energy Trading Platform (RETP) that leverages blockchain technology ...
Artificial Intelligence and Deep Learning-based Model for Indoor Environment: with Virtual Reference Tag Allocation
By the evolution of context-aware application, indoor location positioning gains much more attention worldwide. Radio Frequency Identification (RFID) is one such wireless positioning technology adopted widely. Moreover, enhancing the tracking ...
Silent Expressions Unveiled: Deep Learning for British and American Sign Language Detection
Sign language is an efficient means of communication for the hearing impaired. The main goal of this research is to recognize both American and British sign languages using computer vision algorithms and neural networks. Our work addresses the ...
Medical ChatBot Assistance for Primary Clinical Guidance using Machine Learning Techniques
Hospitals serve as critical hubs for global healthcare, offering essential medical services. However, a pressing issue is the lack of 24/7 medical facilities in rural areas, particularly during the overnight hours. To bridge this gap, we propose ...
Diagnosing Diabetes using Machine Learning-based Predictive Models
Diabetes mellitus is becoming a major health concern causing kidney failure, retinopathy, and other neural diseases and thus becoming a major research area for advancement in machine learning. Analysis of diabetes data is very difficult due to ...
