COVID-19 detection from CBC using machine learning techniques

A Akhtar, S Akhtar, B Bakhtawar… - International Journal …, 2021 - journals.gaftim.com
Covid-19 pandemic has seriously affected the mankind with colossal loss of life around the
world. There is a critical requirement for timely and reliable detection of Corona virus …

Treatment response prediction in hepatitis C patients using machine learning techniques

AA Kashif, B Bakhtawar, A Akhtar… - International Journal …, 2021 - journals.gaftim.com
The proper prognosis of treatment response is crucial in any medical therapy to reduce the
effects of the disease and of the medication as well. The mortality rate due to hepatitis c virus …

Role of Feature Selection in Cross Project Software Defect Prediction-A Review

MS Saeed - International Journal of Computations, Information …, 2023 - journals.gaftim.com
Software Defect Prediction (SDP) is crucial for enhancing software quality and minimizing
issues after release. The advent of machine learning, particularly in Cross-Project Defect …

Network intrusion detection using multi-architectural modular deep neural network

R Atefinia, M Ahmadi - The Journal of Supercomputing, 2021 - Springer
The exponential growth of computer networks and the adoption of new network-based
technologies have made computer security an important challenge. With the emergence of …

[HTML][HTML] Comparison of accuracy and reliability of random forest, support vector machine, artificial neural network and maximum likelihood method in land use/cover …

MS Chowdhury - Environmental Challenges, 2024 - Elsevier
Accurate land use and land cover (LULC) is crucial for sustainable urban planning and for
many scientific researches. However, the demand for accurate LULC maps is increasing; it …

A review on intrusion detection system using machine learning techniques

US Musa, S Chakraborty… - 2021 International …, 2021 - ieeexplore.ieee.org
Computer networks are exposed to cyber related attacks due to the common usage of
internet, as the result of such, several intrusion detection systems (IDSs) were proposed by …

[PDF][PDF] Performance analysis of machine learning techniques on software defect prediction using NASA datasets

A Iqbal, S Aftab, U Ali, Z Nawaz, L Sana… - … Journal of Advanced …, 2019 - researchgate.net
Defect prediction at early stages of software development life cycle is a crucial activity of
quality assurance process and has been broadly studied in the last two decades. The early …

An enhanced intrusion detection system using particle swarm optimization feature extraction technique

RO Ogundokun, JB Awotunde, P Sadiku… - Procedia Computer …, 2021 - Elsevier
As the alarming growth of computer connectivity and the significant number of computer-
related applications increased lately, the challenge of achieving cyber-security has become …

[PDF][PDF] A Classification Framework for Software Defect Prediction Using Multi-filter Feature Selection Technique and MLP.

A Iqbal, S Aftab - International Journal of Modern Education & …, 2020 - researchgate.net
Production of high quality software at lower cost can be possible by detecting defect prone
software modules before the testing process. With this approach, less time and resources …

Anomaly‐based intrusion detection systems: The requirements, methods, measurements, and datasets

S Hajj, R El Sibai, J Bou Abdo… - Transactions on …, 2021 - Wiley Online Library
With the Internet's unprecedented growth and nations' reliance on computer networks, new
cyber‐attacks are created every day as means for achieving financial gain, imposing …