Madhusudan G. Lanjewar

Orcid: 0000-0002-9670-3020

According to our database1, Madhusudan G. Lanjewar authored at least 19 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DenseSAM: A model with spatial attention module for black gram and other crop leaf disease classification.
Multim. Tools Appl., May, 2026

KiCNN: A lightweight CNN model for kidney disease detection using spatial attention mechanisms.
Multim. Tools Appl., March, 2026

2025
Identification of nail diseases using DenseNet169 with leaky ReLU and LSTM with data balancing method.
Discov. Comput., December, 2025

Temporal Fusion Transformer for Multi-Horizon Probabilistic Forecasting of Weekly Retail Sales.
CoRR, November, 2025

Enhancement of tea leaf diseases identification using modified SOTA models.
Neural Comput. Appl., February, 2025

Modified MobileNet with leaky ReLU and LSTM with balancing technique to classify the soil types.
Earth Sci. Informatics, January, 2025

2024
Small size CNN (CAS-CNN), and modified MobileNetV2 (CAS-MODMOBNET) to identify cashew nut and fruit diseases.
Multim. Tools Appl., December, 2024

Hybrid methods for detection of starch in adulterated turmeric from colour images.
Multim. Tools Appl., July, 2024

Small size CNN-Based COVID-19 Disease Prediction System using CT scan images on PaaS cloud.
Multim. Tools Appl., June, 2024

Modified transfer learning frameworks to identify potato leaf diseases.
Multim. Tools Appl., May, 2024

CNN and transfer learning methods with augmentation for citrus leaf diseases detection using PaaS cloud on mobile.
Multim. Tools Appl., March, 2024

Fusion of transfer learning models with LSTM for detection of breast cancer using ultrasound images.
Comput. Biol. Medicine, February, 2024

2023
CNN with machine learning approaches using ExtraTreesClassifier and MRMR feature selection techniques to detect liver diseases on cloud.
Clust. Comput., December, 2023

Lung cancer detection from CT scans using modified DenseNet with feature selection methods and ML classifiers.
Expert Syst. Appl., August, 2023

Development of framework by combining CNN with KNN to detect Alzheimer's disease using MRI images.
Multim. Tools Appl., March, 2023

Convolutional neural network based tea leaf disease prediction system on smart phone using paas cloud.
Neural Comput. Appl., 2023

Cloud-based COVID-19 disease prediction system from X-Ray images using convolutional neural network on smartphone.
Multim. Tools Appl., 2023

2022
Detection of tartrazine colored rice flour adulteration in turmeric from multi-spectral images on smartphone using convolutional neural network deployed on PaaS cloud.
Multim. Tools Appl., 2022

Convolutional Neural Networks based classifications of soil images.
Multim. Tools Appl., 2022


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