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Madhusudan G. Lanjewar
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2020 – today
- 2026
[j18]Kamini G. Panchbhai, Madhusudan G. Lanjewar
:
KiCNN: A lightweight CNN model for kidney disease detection using spatial attention mechanisms. Multim. Tools Appl. 85(3): 277 (2026)
[j17]Madhusudan G. Lanjewar
:
DenseSAM: A model with spatial attention module for black gram and other crop leaf disease classification. Multim. Tools Appl. 85(5): 480 (2026)- 2025
[j16]Kamini G. Panchbhai, Madhusudan G. Lanjewar
, Aditi Venkatesh Naik:
Modified MobileNet with leaky ReLU and LSTM with balancing technique to classify the soil types. Earth Sci. Informatics 18(1): 77 (2025)
[j15]Kamini G. Panchbhai, Madhusudan G. Lanjewar
, Panem Charanarur
, Sandipkumar Agrawal:
Identification of nail diseases using DenseNet169 with leaky ReLU and LSTM with data balancing method. Discov. Comput. 28(1): 273 (2025)
[j14]Kamini G. Panchbhai, Madhusudan G. Lanjewar
:
Enhancement of tea leaf diseases identification using modified SOTA models. Neural Comput. Appl. 37(4): 2435-2453 (2025)
[i1]Santhi Bharath Punati, Sandeep Kanta
, Udaya Bhasker Cheerala, Madhusudan G. Lanjewar, Praveen Damacharla
:
Temporal Fusion Transformer for Multi-Horizon Probabilistic Forecasting of Weekly Retail Sales. CoRR abs/2511.00552 (2025)- 2024
[j13]Madhusudan G. Lanjewar
, Kamini G. Panchbhai, Lalchand B. Patle:
Fusion of transfer learning models with LSTM for detection of breast cancer using ultrasound images. Comput. Biol. Medicine 169: 107914 (2024)
[j12]Madhusudan G. Lanjewar
, Jivan Parab
:
CNN and transfer learning methods with augmentation for citrus leaf diseases detection using PaaS cloud on mobile. Multim. Tools Appl. 83(11): 31733-31758 (2024)
[j11]Madhusudan G. Lanjewar
, Pranay P. Morajkar
, Payaswini P
:
Modified transfer learning frameworks to identify potato leaf diseases. Multim. Tools Appl. 83(17): 50401-50423 (2024)
[j10]Madhusudan G. Lanjewar
, Kamini G. Panchbhai, Panem Charanarur
:
Small size CNN-Based COVID-19 Disease Prediction System using CT scan images on PaaS cloud. Multim. Tools Appl. 83(21): 60655-60687 (2024)
[j9]Madhusudan G. Lanjewar
, Satyam S. Asolkar, Jivan Parab
:
Hybrid methods for detection of starch in adulterated turmeric from colour images. Multim. Tools Appl. 83(25): 65789-65814 (2024)
[j8]Kamini G. Panchbhai, Madhusudan G. Lanjewar
, Vishant V. Malik, Panem Charanarur
:
Small size CNN (CAS-CNN), and modified MobileNetV2 (CAS-MODMOBNET) to identify cashew nut and fruit diseases. Multim. Tools Appl. 83(42): 89871-89891 (2024)- 2023
[j7]Madhusudan G. Lanjewar
, Jivan Parab, Arman Yusuf Shaikh, Marlon Sequeira
:
CNN with machine learning approaches using ExtraTreesClassifier and MRMR feature selection techniques to detect liver diseases on cloud. Clust. Comput. 26(6): 3657-3672 (2023)
[j6]Madhusudan G. Lanjewar
, Kamini G. Panchbhai, Panem Charanarur
:
Lung cancer detection from CT scans using modified DenseNet with feature selection methods and ML classifiers. Expert Syst. Appl. 224: 119961 (2023)
[j5]Madhusudan G. Lanjewar
, Jivan Parab
, Arman Yusuf Shaikh:
Development of framework by combining CNN with KNN to detect Alzheimer's disease using MRI images. Multim. Tools Appl. 82(8): 12699-12717 (2023)
[j4]Madhusudan G. Lanjewar
, Arman Yusuf Shaikh, Jivan Parab
:
Cloud-based COVID-19 disease prediction system from X-Ray images using convolutional neural network on smartphone. Multim. Tools Appl. 82(19): 29883-29912 (2023)
[j3]Madhusudan G. Lanjewar
, Kamini G. Panchbhai:
Convolutional neural network based tea leaf disease prediction system on smart phone using paas cloud. Neural Comput. Appl. 35(3): 2755-2771 (2023)- 2022
[j2]Madhusudan G. Lanjewar
, O. L. Gurav
:
Convolutional Neural Networks based classifications of soil images. Multim. Tools Appl. 81(7): 10313-10336 (2022)
[j1]Madhusudan G. Lanjewar
, Pranay P. Morajkar
, Jivan Parab
:
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. 81(12): 16537-16562 (2022)
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last updated on 2026-06-06 01:19 CEST by the dblp team
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