Errabelli Annapoorna

Adaptive Manta Ray Foraging Optimization-Based Pilot Pattern Design for Channel Estimation in Wireless Communication

Ammar Hameed Shnain, Z. Abed, Errabelli Annapoorna

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Machine Learning-Driven Optimization of Microgrid Energy Management with LSTM Forecasting and DQN-Based Dispatch

A Sujin Jose, K. Maniraj, Errabelli Annapoorna, Navdeep Singh et autres

The application of machine learning techniques in microgrid energy management is revolutionary in improving the efficiency of energy delivery, improving on the reliability and lowering the cost of operations. This paper proposes a smart energy management system in microgrids and the research …

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Smart Prescription Decoder: An Intelligent Framework for Medicine Receipt Analysis and Alternate Medicine Suggestion using OCR and NLP

Ashlin Deepa R N, Rahul Sangubotla, Arjun Shettigar, Errabelli Annapoorna et autres

The convergence of Artificial Intelligence (AI) and Machine Learning (ML) in health systems is revolutionizing conventional workflows and the delivery of services. In this paper, the design of an AI system that can identify handwritten prescriptions for medicine based on Optical Character …

Transformers for Document Text Processing with a Focus on Complex Telugu Scripts

R. N. Ashlin Deepa, Errabelli Annapoorna, Vembadi Govardhan, Agina Sai Anshuk et autres

Recent advancements in the Optical Character Recognition (OCR) and Handwritten Text Recognition (HTR) domains have introduced various methods, those producing promising results. Traditional models, which includes Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and CNN-LSTMs, have been state-of-the-art models for HTR …

AI-Generated Machine Learning Models: Towards an Era of Self-Evolving Intelligence

Shankar Nayak Bhukya, Prabhu Babu, Errabelli Annapoorna, Amireddy Srinish Reddy et autres

Since then, the rate at which artificial intelligence (AI) has advanced, along with related fields such as machine learning, has resulted in models that get increasingly complicated, yet these models are generally still dependent on long hours from humans in order to …

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Probabilistic Modeling and Uncertainty Quantification of Harmonic Distortions in Grid-Integrated Inverters Through Bayesian Neural Networks

Srinivasa Rao, Neeta Awasthy, Venkataramana Asha, Ginni Nijhawan et autres

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Temporal graph network for the analysis of multi robot systems

Sreya. V.Sujil, Errabelli Annapoorna, R. Nair, K A Athira et autres

In the field of Multi-Robot Systems (MRS), efficient task allocation remains a crucial challenge, particularly in dynamic environments. To conquer such challenges, Dynamic Graph Neural Networks (DGNNs) have evolved as a viable alternative, with the ability to simulate complicated interactions between robots …

Deployment of AI Model to Analyze the Automation Process of HR

Vijilius Helena Raj, N. Sreevani, H Pal Thethi, Neeraj Chahuan et autres

Human resource management entails several strategic responsibilities aimed at improving human investment choices and streamlining work processes. The planned study entails automating HR functions that contribute to the growth of the company's professionals. Learning machines nowadays use cloud data, big data, and …

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Application of hybrid PSO-KNN algorithm for early prediction and classification of fundus images in diabetic retinopathy

Lakkireddy Venkateswara Reddy, Sreenivasulu Gogula, Udanth Reddy Lakkireddy, Errabelli Annapoorna et autres

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Deep learning-based auto generated image captions

Gotlur Karuna, Errabelli Annapoorna, Sanjeeva Polepaka, Ramkumar Ramasamy Padmanathan et autres

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Complete career guidance using AI chatbot and sentiment analysis

Errabelli Annapoorna, Bonam John Nikhil, A.V.N.S. Kiran, Dharavath Baloji et autres

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Verification and validation of educational certificates through blockchain technology

Ch. Chandana, Venkata Ramana Thammisetty, Swetha Golla, Cheripelli Ramesh et autres

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