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Detecting Oral Cancer: The Potential of Artificial Intelligence

Current medical imaging reviews, 2022-08, Vol.18 (9), p.919-923

2022

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Comprehensive review and analysis on facial emotion recognition methods

Journal of electronic imaging, 2023-07, Vol.32 (4)

2023

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Enhancing medical field with e-health and AI: A systematic review

AIP Conference Proceedings, 2023, Vol.2721 (1)

2023

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Covid-19 and Artificial Intelligence: Potential and Challenges

2021 5th International Conference on Information Systems and Computer Networks (ISCON), 2021, p.1-6

2021

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Advancing Climate Forecasting Accuracy Through Neurosymbolic Integration: Unveiling the Neurosymbolic Climate Inference and Prediction (NS-CIP) Model’s Approach to Predicting Extreme Weather Events

SN computer science, 2024-10, Vol.5 (7), p.958, Article 958

2024

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Evaluation of 30-day morbidity and mortality of laparoscopic cholecystectomy: a multicenter prospective observational Indian Association of Gastrointestinal Endoscopic Surgeons (IAGES) Study

Surgical endoscopy, 2023-04, Vol.37 (4), p.2611-2625

2023

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Revolutionizing Rice Farming: Automated Identification and Classification of Rice Leaf Blight Disease Using Deep Learning

2023 Third International Conference on Secure Cyber Computing and Communication (ICSCCC), 2023, p.586-591

2023

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Breaking New Ground: High-Accuracy Detection and Severity Analysis of Onion Smut Using AI

2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T), 2024, p.502-505

2024

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A Hybrid Deep Learning Approach for Multi-Classification of Heritage Monuments Using a Real-Phase Image Dataset

2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), 2023, p.29-32

2023

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Sustainable Fabric Recycling using Hybrid CNN-LSTM Multi-Classification Model

2023 2nd International Conference on Edge Computing and Applications (ICECAA), 2023, p.415-420

2023

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Smart logistics multi-classification system using CNN and LSTM

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023, p.1-4

2023

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A New Dawn for Tomato-spotted wilt virus Detection and Intensity Classification: A CNN and LSTM Ensemble Model

2023 4th International Conference for Emerging Technology (INCET), 2023, p.1-6

2023

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Early Detection and Prevention of Mustard Downy Mildew Disease using a Hybrid CNN-LSTM Model

2023 Third International Conference on Secure Cyber Computing and Communication (ICSCCC), 2023, p.246-251

2023

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Deep Learning-based VGG16, VGG19, and ResNet Models for Grapevine Disease Classification

2024 IEEE 9th International Conference for Convergence in Technology (I2CT), 2024, p.1-6

2024

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Multicore Implementation of K-Means Clustering Algorithm

2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2023, p.171-175

2023

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Improvement in K-Means Clustering for Information Retrieval

2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC), 2023, p.1239-1245

2023

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Deep Learning Multiclassification Model: Recognizing Monuments

2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), 2023, p.315-319

2023

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TDC: An MLP-based Sustainable DL Model for Oak Wilt Disease Classification

2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), 2023, p.320-324

2023

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Sugar Learning: Deep Learning for Rapid Detection and Classification of Sugarcane Diseases

2023 World Conference on Communication & Computing (WCONF), 2023, p.1-6

2023

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Multiclassification Hybrid Model Using CNN and SVM for National Emblems

2023 World Conference on Communication & Computing (WCONF), 2023, p.1-5

2023

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A Smart Approach to Coconut Leaf Spot Disease Classification using Computer Vision and Deep Learning Technique

2023 World Conference on Communication & Computing (WCONF), 2023, p.1-6

2023

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Towards Smart Agriculture: Automated Detection and Diagnosis of Bean Leaf Diseases Using ResNext50 Model

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023, p.1-6

2023

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Sustainable PRS: A hybrid DL-based parcel recognition approach

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023, p.1-5

2023

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DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023, p.1-6

2023

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Deep Learning Based Sugarcane Downy Mildew Disease Detection Using CNN-LSTM Ensemble Model for Severity Level Classification

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023, p.1-5

2023

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Detecting Oral Cancer: The Potential of Artificial Intelligence

Comprehensive review and analysis on facial emotion recognition methods

Enhancing medical field with e-health and AI: A systematic review

Covid-19 and Artificial Intelligence: Potential and Challenges

Advancing Climate Forecasting Accuracy Through Neurosymbolic Integration: Unveiling the Neurosymbolic Climate Inference and Prediction (NS-CIP) Model’s Approach to Predicting Extreme Weather Events

Evaluation of 30-day morbidity and mortality of laparoscopic cholecystectomy: a multicenter prospective observational Indian Association of Gastrointestinal Endoscopic Surgeons (IAGES) Study

Revolutionizing Rice Farming: Automated Identification and Classification of Rice Leaf Blight Disease Using Deep Learning

Breaking New Ground: High-Accuracy Detection and Severity Analysis of Onion Smut Using AI

A Hybrid Deep Learning Approach for Multi-Classification of Heritage Monuments Using a Real-Phase Image Dataset

Sustainable Fabric Recycling using Hybrid CNN-LSTM Multi-Classification Model

Smart logistics multi-classification system using CNN and LSTM

A New Dawn for Tomato-spotted wilt virus Detection and Intensity Classification: A CNN and LSTM Ensemble Model

Early Detection and Prevention of Mustard Downy Mildew Disease using a Hybrid CNN-LSTM Model

Deep Learning-based VGG16, VGG19, and ResNet Models for Grapevine Disease Classification

Multicore Implementation of K-Means Clustering Algorithm

Improvement in K-Means Clustering for Information Retrieval

Deep Learning Multiclassification Model: Recognizing Monuments

TDC: An MLP-based Sustainable DL Model for Oak Wilt Disease Classification

Sugar Learning: Deep Learning for Rapid Detection and Classification of Sugarcane Diseases

Multiclassification Hybrid Model Using CNN and SVM for National Emblems

A Smart Approach to Coconut Leaf Spot Disease Classification using Computer Vision and Deep Learning Technique

Towards Smart Agriculture: Automated Detection and Diagnosis of Bean Leaf Diseases Using ResNext50 Model

Sustainable PRS: A hybrid DL-based parcel recognition approach

DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model

Deep Learning Based Sugarcane Downy Mildew Disease Detection Using CNN-LSTM Ensemble Model for Severity Level Classification

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