A systematic review on the detection and classification of plant diseases using machine learning

D Munjal, L Singh, M Pandey, S Lakra - International Journal of …, 2023 - igi-global.com
The occurrence of disease in plants might affect the crop production at a large scale,
resulting into decline of the economic growth rate of the country. The disease in plants can …

An efficient hybrid methodology for an early detection of breast cancer in digital mammograms

L Singh, A Alam - Journal of Ambient Intelligence and Humanized …, 2024 - Springer
Breast cancer continues to be a major health problem throughout the world impacting almost
2.1 million women each year. Delineation of breast cancer at an early stage can play a key …

Novel reinforcement learning guided enhanced variable weight grey wolf optimization (RLV-GWO) algorithm for multi-UAV path planning

R Kumar, L Singh, R Tiwari - Wireless Personal Communications, 2023 - Springer
The multi agent path planning strategy for unmanned aerial vehicles (UAVs) might play a
crucial role in seeking the most feasible path in 3D environment owning to power limitations …

Image based early detection of diabetic retinopathy: A systematic review on Artificial Intelligence (AI) based recent trends and approaches

A Mishra, L Singh, M Pandey… - Journal of Intelligent & …, 2022 - content.iospress.com
Diabetic Retinopathy (DR) is a disease that damages the retina of the human eye due to
diabetic complications, resulting in a loss of vision. Blindness may be avoided If the DR …

Deep learning with perspective modeling for early detection of malignancy in mammograms

A Kumar, S Mukherjee, AK Luhach - Journal of Discrete …, 2019 - Taylor & Francis
Malignancy in human bodies are named behind the body part in which it invades
exponentially like lungs cancer if malignancy is invading lungs. Growth of a cell is controlled …

Automated disease detection in plant images using convolution neural network

L Singh, M Pandey, S Lakra - 2022 International Conference …, 2022 - ieeexplore.ieee.org
In this work, authors developed detection system for plant-disease using convolution neural
network (CNN) model. The developed system was trained using healthy and unhealthy …

Automated detection of lung cancer using transfer learning based deep learning

L Singh, HK Choudhary, S Singh… - 2022 International …, 2022 - ieeexplore.ieee.org
Lung cancer is a lung-affecting chronic disease that may severely affects the respiratory
system. These days, lung cancer is known as the leading causes of death and is very difficult …

Automatic Breast Mass Lesion Detection in Mammogram Image

RK Bania, A Halder - International Journal of Image and Graphics, 2023 - World Scientific
Mammography imaging is one of the most successful techniques for breast cancer
screening and detecting breast lesions. Detection of the Region of Interest (ROI)(where the …

Mammogram image preprocessing using intensity range based partitioned cumulative distribution function

D Senguttuvan, S Pichai - The Journal of Analysis, 2023 - Springer
Timely Diagnosis of breast cancer plays a crucial role in reducing the mortality rate of the
victims. Mammography is a proven imaging modality to detect the presence or on-set of …

Information iterative retrieval of internet of things communication terminal based on symmetric algorithm

M Zhao - Wireless Personal Communications, 2021 - Springer
Through improved similarity analysis algorithm and hybrid local sensitivity hashing method,
information is summarized and retrieved by information retrieval method based on EPC …