Vehicle Tracking System and Speed Estimation Utilizing Optimal Technique

W Javed, M Danish, H Tahir… - … Conference on Innovative …, 2021 - ieeexplore.ieee.org
One of the most active study fields in the computer vision community is using video in traffic
monitoring. The system Traffic Monitor in which uses a hybrid technique for autonomous …

A Novel Method for Lung Segmentation of Chest with Convolutional Neural Network

MA Malik, MJ Awan, MR Saleem, A Rehman… - Prognostic Models in …, 2022 - Springer
Tuberculosis is a major health threat in many regions of the world. Opportunistic infections in
immunocompromised HIV/AIDS patients and multi-drug-resistant bacterial strains have …

IoT Based Fish Stress Factor Monitoring System

A Razzaq, M Raza, F Saif, MS Sajid… - 2021 International …, 2021 - ieeexplore.ieee.org
Aquaculture involves the farming of aquatic life, such as fishes. It's an area that has the
potential to feed the world in the future. A modern technological strategy is required to …

A Study of Image Processing Methods for Investigation of Radiographs

J Jabbar, H Malik, AH Khan… - 2021 International …, 2021 - ieeexplore.ieee.org
Now a day, body of the human usually suffers from different issues. Human body is made up
of various parts such as legs, hands, and bones. Most of the time, bones cracks or breaks …

Indication of Health Status Using Machine Learning Linear Regression and Random Forest

A Asif, M Nabeel, MJ Awan, M Ahsan… - 2021 International …, 2021 - ieeexplore.ieee.org
In today's modern world obesity has become a major problem and everyone wants to get fit.
Hence, to decide on a proper diet plan and health status we need BMI (Body Mass Index) to …

Enhanced Image-Based Malware Multiclass Classification Method with the Ensemble Model and SVM

MB Haile, YM Walle, AJ Belay - Open Information Science, 2024 - degruyter.com
Malware has become one of the biggest risks to security due to its rapid expansion.
Therefore, it must be quickly detected and removed. While convolutional neural network …

Analyzing SQL payloads using logistic regression in a big data environment

OSF Shareef, RF Hasan, AH Farhan - Journal of Intelligent Systems, 2023 - degruyter.com
Protecting big data from attacks on large organizations is essential because of how vital
such data are to organizations and individuals. Moreover, such data can be put at risk when …

Covid-19 Detection by using Deep learning-based Custom Convolution Neural Network (CNN)

MJ Awan, MW Imtiaz, M Usama… - 2021 International …, 2021 - ieeexplore.ieee.org
The early diagnosis and treatment of COVID-19 has been a challenge all over the world. It is
challenging to manufacture many testing kits and even then, their accuracy rate is very low …

[PDF][PDF] DDOS ATTACK-DETECTION APPROACH BASED ON ENSEMBLE MODELS USING SPARK.

Y Alslman, A Khalil, R Younisse, E Alnagi… - Jordanian Journal of …, 2024 - researchgate.net
We live in an era where time is the most precious resource. Thus, dealing with the vast
amount of data collected from different resources for various purposes requires creating …

Advancements in time series-based detection systems for distributed denial-of-service (ddos) attacks: A comprehensive review

S salman Qasim, SM NSAIF - Babylonian Journal of …, 2024 - mesopotamian.press
Distributed denial-of-service assaults, often known as DDoS attacks, pose a significant
danger to the stability and security of the internet, particularly in light of the increasing …