Title | Area of Research | Auther Name | Action |
DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORK | Computer Science | Chikati Madhava Rao |
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Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning Models | Computer Science | Mohmad Ahmed Ali |
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Enhance Accuracy of Medical Disease Prediction Using Machine Learning Techniques | Machine Learning | Sandeep Singh Sikarwar |
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Transformer-based Generative Adversarial Network (GAN) hybrid model for sentiment analysis | Information Technology | hridesh kumar |
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A Step Ahead in Operational Resilience - Integrating Observability with DevOps | Computer Engineering | Amit Sengupta |
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The Influence of Artificial Intelligence and Human-Computer Interaction on Enhancing Children's Learning Experiences | Computer Engineering, | Supriya S Kendhuli |
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Medicinal Plants Identification Using Deep Learning | Computer Engineering | Rohan Kumar Verma |
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“How to balance automation and ethics when rolling out AI automation in an Educational Framework” | Computer Sciecne | Sudhakar mishra |
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Microservices Fault Tolerance Patterns | Computer Engineering | Amit Sengupta |
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Forecasting and Categorization of Cardiac Arrhythmia using Soft Computational Approaches | Computer Science and Engineering | Dr. Sivaprakash. C |
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Enhancing Cybersecurity | Computer Engineering | G Tarun |
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Microservices Design Patterns | Computer Engineering | Amit Sengupta |
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The Novel Approach to Detect Kidney Stones Using Deep Learning and Convolutional Neural Networks | CSE | N Manjunatha |
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An investigation into the use of deep learning and image processing in the domain of diabetic medical care | CSE | HR Ravikumar |
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Software Microservices Pattern - Orchestration Vs Choreography | Computer Engineering | Amit Sengupta |
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