A Two-Stage Hybrid Approach for Phishing Attack Detection Using URL and Content Analysis in IoT

SY Mohammed, M Aljanabi, MM Mijwil… - BIO Web of …, 2024 - bio-conferences.org
The goal of phishing assaults is to trick users into giving up personal information by making
them believe they need to act quickly on critical information. The creation of efficient …

Machine Learning Techniques for Sugarcane Yield Prediction Using Weather Variables

AJ Ramadhan, SRK Priya, V Pavithra… - BIO Web of …, 2024 - bio-conferences.org
Weather has a profound influence on crop growth, development and yield. The present
study deals with the use of weather parameters for sugarcane yield forecasting. Machine …

IoT-integrated multi-sensor plant monitoring and automated tank-based smart home gardening system

AJ Ramadhan, BA Kumar, I Bala… - BIO Web of …, 2024 - bio-conferences.org
Through the use of smart sensors to monitor and regulate plant conditions, smart home
gardening management systems can maximize resource utilisation and minimize human …

[PDF][PDF] Intelligent Particle Swarm Optimization Method for Parameter Selecting in Regularization Method for Integral Equation

HK Al-Mahdawi, F Hatem Khorsheed… - BIO Web of …, 2024 - bio-conferences.org
We use the Tikhonov method as a regularization technique for solving the integral equation
of the first kind with noisy and noise-free data. Following that, we go over how to choose the …

Optimizing Cloud Service Load Balancing Through Heat Conduction Equation Applications.

H He, L Wang, J Liu, L Qin - International Journal of Heat & …, 2024 - search.ebscohost.com
With the rapid development of cloud computing, load balancing technology in cloud services
has become a critical component in ensuring service quality and system stability. Traditional …

[PDF][PDF] Applications of deep learning models for forecasting and modelling rainwater in Moscow

AJ Ramadhan, S Ray, M Abotaleb… - BIO Web of …, 2024 - bio-conferences.org
To model and forecast complex time series data, machine learning has become a major
field. This machine learning study examined Moscow rainfall data's future performance. The …

Comparative Economics of Maize Crop in Kharif and Rabi Season

AJ Ramadhan, AK Tiwari, B Kumar… - BIO Web of …, 2024 - bio-conferences.org
This study offers a detailed comparative analysis of maize crop cultivation in the kharif and
rabi seasons within the agricultural landscape of Gonda District. 50 respondents were …

[HTML][HTML] Iterative method for solving linear operator equation of the first kind

SA Noaman, HK Al-Mahdawi, BT Al-Nuaimi… - MethodsX, 2023 - Elsevier
In this work, we study the iterative method for solving linear operator equation of the first
kind. We present a new version of method based on the applied the iterative performance on …

Equipment Sensor Signal Feature Extraction Through Time Series Clustering and Its Application in Defect Prediction

N Behdad, L Hongou, H Khan, W Gee… - Journal of Computer …, 2024 - jcsis.org
Equipment Sensor Signal Feature Extraction Through Time Series Clustering and Its
Application in Defect Prediction JCSIS 019928311823 info@jcsis.org JCSIS About Volumes …

CNN-Based Algorithm for Anomaly Detection in Electrocardiogram Signals (BiLSTM)

N Behdad, N Zlatan, K Shazly - Journal of Computer Science & Information …, 2024 - jcsis.org
CNN-Based Algorithm for Anomaly Detection in Electrocardiogram Signals (BiLSTM) JCSIS
019928311823 info@jcsis.org JCSIS About Volumes Instructions Contact Editorials Login …