Pokkuluri Kiran Sree

Pokkuluri Kiran Sree Professor & Head, Department of C.S.E Shri Vishnu Engineering College for Women (A), India

Publications

Integration of Machine Learning Augmented With Biosensors for Enhanced Water Quality Monitoring
Kiran Sree Pokkuluri, Usha Devi N., Alex Khang. © 2024. 12 pages.
Monitoring water quality is essential to guaranteeing the sustainability and safety of water supplies. Conventional techniques for evaluating the quality of water might be...
Enhancing Aquaculture Efficiency: Automated Feed Management Through Deep Learning
Kiran Sree Pokkuluri, Alex Khang, S. S. S. N. Usha Devi N.. © 2024. 11 pages.
A major part of supplying the increasing demand for seafood around the world is aquaculture. This work suggests a novel deep learning-based method for automated feed management...
Decoding Disease: GANs in AI-Driven Medical Diagnosis
Kiran Sree Pokkuluri, Usha Devi N, Alex Khang. © 2024. 11 pages.
Generative adversarial networks (GANs) are a cutting-edge technique in drug development that provides a fresh method for optimising and designing molecules. Under this paradigm...
Deep Insights: Harnessing Convolutional Neural Networks for Precision Medical Imaging
Kiran Sree Pokkuluri, Alex Khang, Usha Devi N.. © 2024. 12 pages.
Modern healthcare relies heavily on medical imaging, and breakthroughs in artificial intelligence--more specifically, the use of convolutional neural networks, or CNNs, have...
Designing LSTM Networks for Emotion Modelling
Kiran Sree Pokkuluri, S. S. S. N. Usha Devi N., Alex Khang. © 2024. 15 pages.
This chapter presents a simple and effective approach to designing LSTM networks for the task of emotion recognition. Emotion modelling plays a crucial role in various...
CulinarySpectra: Exploring Flavor Dimensions With AI
Kiran Sree Pokkuluri, S. S. S. N. Usha Devi N.. © 2024. 13 pages.
The authors explore the domains of gastronomy with the aid of cutting-edge AI technology, revealing the complex layers of flavour dimensions. CulinarySpectra challenges...
Long Short-Term Memory Networks for Automated Waste Treatment Augmented With IoT and Bioelectric Sensors
Kiran Sree Pokkuluri, S. S. S. N. Usha Devi N., Alex Khang. © 2024. 12 pages.
In order to improve automated waste treatment system, this work investigates the combination of bioelectric sensors, internet of things (IoT), and long short-term memory (LSTM)...
Quantum-Inspired Deep Learning for Networked Data Analysis With Quantum Networked Discord and Allies
Suchitra Labhane, J. Radha, Kiran Sree Pokkuluri, R. Somasundaram, R. Shiva Shankar, Prateek Srivastava. © 2024. 17 pages.
This research talks about Quantum Networked Discord and Allies (QNDA), a new way to get insights from linked datasets. It combines methods inspired by quantum mechanics with...
Collective Dynamics of “Small-World” Networks Enhanced by Quantum Technology for Trusted AI Transactions
A Sangeerani Devi, C. Saffina, Kiran Sree Pokkuluri, Shraddha V. Pandit, M. V. Rama Prasad, Goutam Tanty. © 2024. 18 pages.
Based on this research, the authors think that quantum technologies could be used to make small-world networks work better so that AI transactions can be trusted. The goal is to...
Scaling AI With Quantum Network Models for Back Pain Genetic Architecture
Uma Maheswari, Swapnil S. Ninawe, Kiran Sree Pokkuluri, Shraddha V. Pandit, Venkatesan Hariram, R Shiva Shankar. © 2024. 14 pages.
In this exploratory chapter, the incorporation of amount network models to evaluate artificial intelligence (AI) approaches for the purpose of deciphering the inheritable...
Revolutionizing Agriculture: Exploring Advanced Technologies for Plant Protection in the Agriculture Sector
Alex Khang, Kali Charan Rath, Surabhika Panda, Pokkuluri Kiran Sree, Santosh Kumar Panda. © 2023. 22 pages.
This chapter highlights the challenges faced by agricultural enterprises in safeguarding their crops from pests, diseases, and environmental stressors. By examining the evolution...
Review on Healthcare Quality Using Machine Learning Methods
Pokkuluri Kiran Sree, N. Usha Devi. © 2023. 18 pages.
Machine learning methods have emerged as powerful tools for enhancing healthcare quality by leveraging large datasets and identifying patterns that can inform decision-making and...