An experimental approach to detect forest fire using machine learning mathematical models and IoT

SK Jayasingh, S Swain, KJ Patra, D Gountia - SN Computer Science, 2024 - Springer
Fire outbreak is a common issue which is occurring worldwide, causing significant damage
to both nature and human life. Recently, vision-based fire detection systems have gained …

[PDF][PDF] Application of IoT framework for prediction of heart disease using machine learning

S Swain, N Behera, AK Swain, SK Jayasingh, KJ Patra… - IJRITCC, 2023 - academia.edu
Prognosis of illnesses is a difficult problem these days throughout the globe. Elder people of
twenty years and over are taken into consideration to be laid low with this sickness now a …

Inductive link prediction banking fraud detection system using homogeneous graph-based machine learning model

HA Bukhori, R Munir - 2023 IEEE 13th Annual Computing and …, 2023 - ieeexplore.ieee.org
Graph machine learning and fraud detection systems are growing and popular today. Fraud
detection systems have been widely used as a tool to detect potentially fraudulent …

Deceiving Deep Learning-based Fraud SMS Detection Models through Adversarial Attacks

A Bajaj, DK Vishwakarma - 2023 17th International Conference …, 2023 - ieeexplore.ieee.org
Short Messaging Service (SMS) is one of the most extensively utilized mobile applications
for communication around the world. Smishing is the technique of delivering harmful SMS to …

Weather monitoring and prediction system: A case study on Odisha

A Mahala, SK Jayasingh, MR Kabat - International Conference on …, 2023 - Springer
Weather monitoring for different parameters is very common nowadays but accurate
forecasting of weather or atmosphere for a particular location is a very challenging task …

Comparative Analysis of Image Enhancement Techniques: A Study on Combined and Individual Approaches

A Bhaskar, B Joshi - International Conference on Communication and …, 2023 - Springer
This research conducts a comprehensive analysis contrasting amalgamated and individual
techniques for image enhancement. A groundbreaking methodology is introduced …

Smishing: A SMS Phishing Detection Using Various Machine Learning Algorithms

P Prajapati, H Nandani, D Shah, S Shah… - … on Communication and …, 2023 - Springer
Amid the pandemic, there has been a steep rise in cybercrimes against individuals and
corporations, making implementing security measures even more imperative. This paper …

Detection of SMS Spam Messages Using TF-IDF Vectorizer and Deep Learning Models

J De Goma, JA Bravo, S Prudente… - Proceedings of the 2024 …, 2024 - dl.acm.org
The spread of SMS spam messages has grown as a major issue, offering a chronic
annoyance to mobile phone users worldwide. These unwanted SMS, sent with malevolent …

How to Mitigate Task Switching between Work and Non-work-related Smartphone Use

정영찬 - 2022 - s-space.snu.ac.kr
Today, smartphones are used as indispensable tools in almost all areas of our lives. In
addition to personal activities such as watching videos and music or playing games …