Search Results - "Kashyap, Ramgopal"
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1
Multimodal Sarcasm Detection via Hybrid Classifier with Optimistic Logic
Published in Journal of Telecommunications and Information Technology (29-09-2022)“…This work aims to provide a novel multimodal sarcasm detection model that includes four stages: pre-processing, feature extraction, feature level fusion, and…”
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Journal Article -
2
Glaucoma Detection and Classification Using Improved U-Net Deep Learning Model
Published in Healthcare (Basel) (01-12-2022)“…Glaucoma is prominent in a variety of nations, with the United States and Europe being two of the most famous. Glaucoma now affects around 78 million people…”
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3
An India soyabean dataset for identification and classification of diseases using computer-vision algorithms
Published in Data in brief (01-04-2024)“…Intelligent agriculture heavily relies on the science of agricultural disease image recognition. India is also responsible for large production of French…”
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Journal Article -
4
Stochastic Dilated Residual Ghost Model for Breast Cancer Detection
Published in Journal of digital imaging (01-04-2023)“…One of the most contentious issues in modern medicine is how to effectively standardise breast cancer screening. Deep learning models are already saving lives…”
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Dilated residual grooming kernel model for breast cancer detection
Published in Pattern recognition letters (01-07-2022)“…•Solves the overfitting issue in the Convolution Neural Networks.•The proposed fully connected dilation unit enhances small and low-level features.•Accurate…”
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Artificial Driving based EfficientNet for Automatic Plant Leaf Disease Classification
Published in Multimedia tools and applications (01-04-2024)“…Plant disease (PD) detection is a substantial problem that needs to be tackled to develop the economy and improve agricultural production. Using conventional…”
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Blockchain assisted encryption scheme for intellectual share estimation using medical research data
Published in Concurrency and computation (25-01-2024)“…Summary Recently, blockchain utilization with advanced encryption and decryption has gained improved attention over diverse applications. Especially in the…”
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Journal Article -
8
Breast Cancer Detection on Histopathological Images Using a Composite Dilated Backbone Network
Published in Computational intelligence and neuroscience (06-07-2022)“…Breast cancer is a lethal illness that has a high mortality rate. In treatment, the accuracy of diagnosis is crucial. Machine learning and deep learning may be…”
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Journal Article -
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Hybrid Deep learning based Semi-supervised Model for Medical Imaging
Published in 2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) (08-02-2023)“…One of the most promising fields in medicine is the application of artificial intelligence methods to medical imaging. Though annotating medical images is an…”
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Conference Proceeding -
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Challenges and Applications for Implementing Machine Learning in Computer Vision. Advances in Computer and Electrical Engineering (ACEE) Book Series
Published in IGI Global (2020)“…Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive…”
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A Lightweight Hybrid Dilated Ghost Model-Based Approach for the Prognosis of Breast Cancer
Published in Computational intelligence and neuroscience (2022)“…Most approaches use interactive priors to find tumours and then segment them based on tumour-centric candidates. A fully convolutional network is demonstrated…”
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A review of the classification of neuroscience problems with the help of deep learning framework
Published in 2021 5th International Conference on Information Systems and Computer Networks (ISCON) (22-10-2021)“…Electroencephalographic signals (EEG signals) processing has become very popular nowadays due to its effectiveness in dealing with and treating various…”
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Conference Proceeding -
13
Leveraging High-Performance Computing for Boiling Heat Transfer Simulations
Published in 2024 OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 4.0 (05-06-2024)“…The recommended cooking heat transfer simulation method advances the field. This study shows that complicated approaches are improving heat transfer forecasts'…”
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Conference Proceeding -
14
Integrating Deep Learning to Decode Meningeal Interleukin-17 T Cell Mechanisms in Salt-Sensitive Hypertension-Induced Cognitive Impairment
Published in 2024 OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 4.0 (05-06-2024)“…This article uses deep learning to explain how salt-responsive meningeal interleukin-17 T cells produce cognitive impairment from elevated blood pressure. The…”
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Conference Proceeding -
15
Innovations in Robotic Equipment for Enhanced Wire-arc DED: Bridging the Gap Between Welding and Additive Manufacturing
Published in 2024 OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 4.0 (05-06-2024)“…The suite of algorithms proposed for Wire-arc Directed Energy Deposition (DED) processes presents a groundbreaking approach to enhancing manufacturing…”
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Conference Proceeding -
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Navigating the Prognostics Landscape: Deep Reinforcement Learning-Enabled Remaining Useful Life Estimation with Novel Methodology
Published in 2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE) (09-05-2024)“…This study shows how deep reinforcement learning in a mixed training system might determine how long something can be used. It uses both supervised learning…”
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Conference Proceeding -
17
Deep Learning's Role in Advancing Gastroenterology and Digestive Health
Published in 2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG) (08-12-2023)“…This work presents a comprehensive methodology for the application of deep learning in the field of gastroenterology and digestive health. The methodology…”
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Conference Proceeding -
18
Modified region based segmentation of medical images
Published in 2015 International Conference on Communication Networks (ICCN) (01-11-2015)“…Health care applications became boon for the healthcare industry. It needs correct segmentation connected with medical images regarding correct diagnosis. This…”
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Conference Proceeding -
19
Agricultural plant diseases identification: From traditional approach to deep learning
Published in Materials today : proceedings (2023)“…Plant disease computerization in agriculture areas an important for every country, as the population rate increases the demand for food supply also increases…”
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Journal Article -
20
DNA Nano array analysis using hierarchical quality threshold clustering
Published in 2010 2nd IEEE International Conference on Information Management and Engineering (01-04-2010)“…DNA Nano array technology is a challenging area in bioinformatics research, as we have to monitor millions of genes simultaneously. The expression profile of…”
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Conference Proceeding