Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning

MA Talukder, MM Islam, MA Uddin, A Akhter… - Expert Systems with …, 2022 - Elsevier
Cancer is a fatal disease caused by a combination of genetic diseases and a variety of
biochemical abnormalities. Lung and colon cancer have emerged as two of the leading …

Development of different machine learning ensemble classifier for gully erosion susceptibility in Gandheswari Watershed of West Bengal, India

P Roy, R Chakrabortty, I Chowdhuri, S Malik… - Machine learning for …, 2020 - Springer
In various types of geo-environmental problems in the fringing area of Chhotanagpur
plateau in India, gully erosion is one of the vulnerable issue. In our current research, using …

A cnn approach for corn leaves disease detection to support digital agricultural system

KP Panigrahi, AK Sahoo, H Das - 2020 4th International …, 2020 - ieeexplore.ieee.org
Correct, fast and early detection of corn leave diseases and their prevention and control at
the earlier stages is profitable. To improve the detection accuracy of corn leaf diseases, a …

[HTML][HTML] A Jaya algorithm based wrapper method for optimal feature selection in supervised classification

H Das, B Naik, HS Behera - Journal of King Saud University-Computer and …, 2022 - Elsevier
In recent years, Jaya optimization algorithm has been successfully applied in several
optimization problems. This paper presents a novel feature selection (FS) approach based …

Feature selection using golden jackal optimization for software fault prediction

H Das, S Prajapati, MK Gourisaria, RM Pattanayak… - Mathematics, 2023 - mdpi.com
A program's bug, fault, or mistake that results in unintended results is known as a software
defect or fault. Software flaws are programming errors due to mistakes in the requirements …

Enhancing software fault prediction through feature selection with spider wasp optimization algorithm

H Das, S Das, MK Gourisaria, SB Khan… - IEEE …, 2024 - ieeexplore.ieee.org
Software fault prediction (SFP) is a critical focus in software engineering, aiming to enhance
productivity and minimize costs by detecting faults early. Feature selection (FS) is pivotal in …

COVID-19 world vaccination progress using machine learning classification algorithms

NM Abdulkareem, AM Abdulazeez… - Qubahan Academic …, 2021 - journal.qubahan.com
Abstract In December 2019, SARS-CoV-2 caused coronavirus disease (COVID-19)
distributed to all countries, infecting thousands of people and causing deaths. COVID-19 …

Optimal selection of features using artificial electric field algorithm for classification

H Das, B Naik, HS Behera - Arabian Journal for Science and Engineering, 2021 - Springer
The high-dimensional features in the data may affect the performance of the classification
model as all of them are not useful. The selection of relevant optimal features is a tedious …

[HTML][HTML] Biomedical data analysis using neuro-fuzzy model with post-feature reduction

H Das, B Naik, HS Behera, S Jaiswal, P Mahato… - Journal of King Saud …, 2022 - Elsevier
Now-a-days, a large volume of biomedical data are continuously generated from various
biomedical devices and experiments due to the rapid technological advancement in medical …

A Hybrid Neuro‐Fuzzy and Feature Reduction Model for Classification

H Das, B Naik, HS Behera - Advances in Fuzzy Systems, 2020 - Wiley Online Library
The evolvement of the fuzzy system has shown influential and successful in many universal
approximation capabilities and applications. This paper proposes a hybrid Neuro‐Fuzzy and …