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Disruptive Developments in Biomedical Applications

1, 2023

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Applied Artificial Intelligence: A Biomedical Perspective

1, 2024

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Applied Computer Vision and Soft Computing with Interpretable AI

1st, 2024

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Concept drift detection and adaption framework using optimized deep learning and adaptive sliding window approach

Expert systems, 2023-11, Vol.40 (9)

2023

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Handwritten Marathi numeral recognition using stacked ensemble neural network

International journal of information technology (Singapore. Online), 2021-10, Vol.13 (5), p.1993-1999

2021

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A Torch Without Light: Low-Light Imaging for Mobile phones

International journal of engineering and advanced technology, 2019-10, Vol.9 (1), p.2042-2047

2019

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Cervical cancer diagnosis using convolution neural network: feature learning and transfer learning approaches

Soft computing (Berlin, Germany), 2023-07

2023

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Intelligent Edge Computing for Cyber Physical Applications

1, 2023

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ECG Signal Processing using an Optimized Sliding Window Approach for Concept Drift Detection and Adaption

Journal of engineering science and technology review, 2023, Vol.16 (5), p.180-185

2023

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Deep Learning for COVID-19: COVID-19 Detection Based on Chest X-Ray Images by the Fusion of Deep Learning and Machine Learning Techniques

Understanding COVID-19: The Role of Computational Intelligence, p.471-500

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Deep Learning for Tea Leaf Disease Classification: Challenges, Study Gaps, and Emerging Technologies

Applied Computer Vision and Soft Computing with Interpretable AI, 2024, Vol.1, p.293-314

1, 2024

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Monitoring Operational Parameters in the Manufacturing Industry Using Web Analytical Dashboards

Applied Computer Vision and Soft Computing with Interpretable AI, 2024, Vol.1, p.85-105

1, 2024

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Spammer Detection Based on a Heterogeneous Multiple-mini-graph Neural Network

Applied Computer Vision and Soft Computing with Interpretable AI, 2024, Vol.1, p.167-189

1, 2024

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Neurological Disorder Detection Using Computer Vision and Machine Learning Techniques

Applied Computer Vision and Soft Computing with Interpretable AI, 2024, Vol.1, p.279-292

1, 2024

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Optimized Student's Multi-Face Recognition and Identification Using Deep Learning

Applied Computer Vision and Soft Computing with Interpretable AI, 2024, Vol.1, p.265-272

1, 2024

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A Review of Sentiment Analysis Applications and Challenges

Applied Computer Vision and Soft Computing with Interpretable AI, 2024, Vol.1, p.217-228

1, 2024

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Intuitionistic Fuzzy Hypergraphs and Their Operations

Applied Computer Vision and Soft Computing with Interpretable AI, 2024, Vol.1, p.153-165

1, 2024

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A Resemblance of Convolutional Neural Network Architectures for Classifying Ferrograph Images

Applied Computer Vision and Soft Computing with Interpretable AI, 2024, Vol.1, p.119-134

1, 2024

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The Role of Artificial Intelligence and the Internet of Things in Smart Agriculture towards Green Engineering

Applied Computer Vision and Soft Computing with Interpretable AI, 2024, Vol.1, p.135-152

1, 2024

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Concurrent Line Perpendicular Distance Functions for Contour Point Analysis

Applied Computer Vision and Soft Computing with Interpretable AI, 2024, Vol.1, p.107-118

1, 2024

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An Employee Health Monitoring System Using Wireless Body Area Networks and Machine Learning

Applied Computer Vision and Soft Computing with Interpretable AI, 2024, Vol.1, p.69-84

1, 2024

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A Brain MRI Segmentation Method Using Feature Weighting and a Combination of Efficient Visual Features

Applied Computer Vision and Soft Computing with Interpretable AI, 2024, Vol.1, p.15-34

1, 2024

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Handling Skewed Datasets in Computing Environments: The Classifier Ensemble Approach

Applied Computer Vision and Soft Computing with Interpretable AI, 2024, Vol.1, p.229-241

1, 2024

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MentoCare: An Improved Mental Healthcare System for the Public

Applied Computer Vision and Soft Computing with Interpretable AI, 2024, Vol.1, p.55-68

1, 2024

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Impact of Fake News on Society with Detection and Classification Techniques

Applied Computer Vision and Soft Computing with Interpretable AI, 2024, Vol.1, p.273-278

1, 2024

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Disruptive Developments in Biomedical Applications

Applied Artificial Intelligence: A Biomedical Perspective

Applied Computer Vision and Soft Computing with Interpretable AI

Concept drift detection and adaption framework using optimized deep learning and adaptive sliding window approach

Handwritten Marathi numeral recognition using stacked ensemble neural network

A Torch Without Light: Low-Light Imaging for Mobile phones

Cervical cancer diagnosis using convolution neural network: feature learning and transfer learning approaches

Intelligent Edge Computing for Cyber Physical Applications

ECG Signal Processing using an Optimized Sliding Window Approach for Concept Drift Detection and Adaption

Deep Learning for COVID-19: COVID-19 Detection Based on Chest X-Ray Images by the Fusion of Deep Learning and Machine Learning Techniques

Deep Learning for Tea Leaf Disease Classification: Challenges, Study Gaps, and Emerging Technologies

Monitoring Operational Parameters in the Manufacturing Industry Using Web Analytical Dashboards

Spammer Detection Based on a Heterogeneous Multiple-mini-graph Neural Network

Neurological Disorder Detection Using Computer Vision and Machine Learning Techniques

Optimized Student's Multi-Face Recognition and Identification Using Deep Learning

A Review of Sentiment Analysis Applications and Challenges

Intuitionistic Fuzzy Hypergraphs and Their Operations

A Resemblance of Convolutional Neural Network Architectures for Classifying Ferrograph Images

The Role of Artificial Intelligence and the Internet of Things in Smart Agriculture towards Green Engineering

Concurrent Line Perpendicular Distance Functions for Contour Point Analysis

An Employee Health Monitoring System Using Wireless Body Area Networks and Machine Learning

A Brain MRI Segmentation Method Using Feature Weighting and a Combination of Efficient Visual Features

Handling Skewed Datasets in Computing Environments: The Classifier Ensemble Approach

MentoCare: An Improved Mental Healthcare System for the Public

Impact of Fake News on Society with Detection and Classification Techniques

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