Search Results - "Lanjewar, Madhusudan G"

Lung cancer detection from CT scans using modified DenseNet with feature selection methods and ML classifiers by Lanjewar, Madhusudan G, Panchbhai, Kamini G, Charanarur, Panem

“…Lung cancer is a highly life-threatening disease worldwide, and detection is crucial. In this study, the Kaggle chest CT-scan images dataset was used to…”
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Convolutional neural network based tea leaf disease prediction system on smart phone using paas cloud by Lanjewar, Madhusudan G., Panchbhai, Kamini G.

“…Machine learning (ML) and cloud computing are modern and fast-growing areas across all domains of applications. In agriculture, automated detection and…”
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Sugar detection in adulterated honey using hyper-spectral imaging with stacking generalization method by Lanjewar, Madhusudan G., Panchbhai, Kamini G., Patle, Lalchand B.

“…This paper develops a new hybrid, automated, and non-invasive approach by combining hyper-spectral imaging, Savitzky–Golay (SG) Filter, Principal Components…”
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Development of framework by combining CNN with KNN to detect Alzheimer’s disease using MRI images by Lanjewar, Madhusudan G, Parab, Jivan S, Shaikh, Arman Yusuf

“…Alzheimer’s disease (AD) is an irremediable, irrecoverable brain illness without proper treatment. Therefore, AD recognition is essential for precluding and…”
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Modified transfer learning frameworks to identify potato leaf diseases by Lanjewar, Madhusudan G., Morajkar, Pranay, P, Payaswini

“…Potato diseases such as early and late blight are the most lethal diseases that can cause significant damage to potato production. Detecting these diseases…”
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Detection of tartrazine colored rice flour adulteration in turmeric from multi-spectral images on smartphone using convolutional neural network deployed on PaaS cloud by Lanjewar, Madhusudan G., Morajkar, Pranay P., Parab, Jivan

“…Food adulteration occurs globally, in many facets, and affects almost all food commodities. Adulteration is not just a crucial economic problem, but it may…”
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Fusion of transfer learning models with LSTM for detection of breast cancer using ultrasound images by Lanjewar, Madhusudan G., Panchbhai, Kamini G., Patle, Lalchand B.

“…Breast Cancer (BC) is one of the top reasons for fatality in women worldwide. As a result, timely identification is critical for successful therapy and…”
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CNN and transfer learning methods with augmentation for citrus leaf diseases detection using PaaS cloud on mobile by Lanjewar, Madhusudan G., Parab, Jivan S.

“…Leaf and fruit infections are the primary cause of the maximum harm to the crop, which decreases the quality and amount of the goods. To improve the…”
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Cloud-based COVID-19 disease prediction system from X-Ray images using convolutional neural network on smartphone by Lanjewar, Madhusudan G., Shaikh, Arman Yusuf, Parab, Jivan

“…COVID-19 has engulfed over 200 nations through human-to-human transmission, either directly or indirectly. Reverse Transcription-polymerase Chain Reaction…”
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Small size CNN-Based COVID-19 Disease Prediction System using CT scan images on PaaS cloud by Lanjewar, Madhusudan G., Panchbhai, Kamini G., Charanarur, Panem

“…COVID-19 is a highly contagious disease that can quickly spread and overwhelm healthcare systems if not controlled in time. Reverse Transcription Polymerase…”
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Hybrid method for accurate starch estimation in adulterated turmeric using Vis-NIR spectroscopy by Lanjewar, Madhusudan G., Morajkar, Pranay P., Parab, Jivan S.

“…Turmeric is widely used as a health supplement and foodstuff in South East Asian countries because of its medicinal benefits. Like several other plants and…”
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CNN with machine learning approaches using ExtraTreesClassifier and MRMR feature selection techniques to detect liver diseases on cloud by Lanjewar, Madhusudan G, Parab, Jivan S, Shaikh, Arman Yusuf, Sequeira, Marlon

“…Liver disease is a significant global burden on health, with about a few hundred million people suffering from chronic liver disease (CLD), with approximately…”
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Hybrid methods for detection of starch in adulterated turmeric from colour images by Lanjewar, Madhusudan G., Asolkar, Satyam S., Parab, Jivan S.

“…In this investigation, an image dataset featuring starch-adulterated turmeric was meticulously created. Various concentrations of starch, ranging from 0 to…”
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Enhancing fish freshness prediction using NasNet-LSTM by Lanjewar, Madhusudan G., Panchbhai, Kamini G.

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Portable system to detect starch adulteration in turmeric using NIR spectroscopy by Lanjewar, Madhusudan G., Morajkar, Pranay P., Parab, Jivan S.

“…Analytical tests are commonly performed in laboratories to analyze and ensure food quality due to concerns about food adulteration. However, traditional…”
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Machine learning based technique to predict the water adulterant in milk using portable near infrared spectroscopy by Lanjewar, Madhusudan G., Parab, Jivan S., Kamat, Rajanish K.

“…Milk adulteration is a significant problem globally, as it is the most widely consumed and essential food product. Due to this, monitoring milk quality is…”
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Detecting starch-adulterated turmeric using Vis-NIR spectroscopy and multispectral imaging with machine learning by Lanjewar, Madhusudan G., Asolkar, Satyam, Parab, Jivan S., Morajkar, Pranay P.

“…Chemicals are often added to turmeric to increase profits, posing significant health risks to consumers. At the same time, traditional methods for detecting…”
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Small size CNN (CAS-CNN), and modified MobileNetV2 (CAS-MODMOBNET) to identify cashew nut and fruit diseases by Panchbhai, Kamini G., Lanjewar, Madhusudan G., Malik, Vishant V., Charanarur, Panem

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