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Pilli Lalitha Kumari

Malla Reddy Institute Technology

Secunderabad, Telangana

  • Malla Reddy Institute Technology

SCHOLARLY PAPERS

3

DOWNLOADS

331

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Enhancing Image Classification Performance through Transfer Learning and Adaptive Augmentation: A MobileNetV2 Approach

Proceedings of the 3rd International Conference on Optimization Techniques in the Field of Engineering (ICOFE-2024)
Number of pages: 11 Posted: 06 Jan 2025
Gaurav Gondhalekar, Naresh Kumar Bathala, Naresh Babu Merugu, Neelam Joshi, Pilli Lalitha Kumari and Sathyakala S
Yeshwatrao Chavan College of Engineering, Amazon India, Sri Vasavi Institute of Engineering and Technology, Machilipatnam, India, Father Conceicao Rodrigues College of Engineering, Malla Reddy Institute Technology and Sona College of Technology
Downloads 187 (415,884)

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Transfer Learning, MobileNetV2, Data Augmentation, Image Classification, Model Fine-tuning, Performance Optimization

2.

Optimized Smart Load Scheduling with Demand-Side Management in the Domestic Sector using Machine Learning Methods

Proceedings of the 3rd International Conference on Optimization Techniques in the Field of Engineering (ICOFE-2024)
Number of pages: 11 Posted: 07 Jan 2025
V R Doifode, Shafqat Nabi Mughal, Vardhan Choubey, Vishal Chauhan and Pilli Lalitha Kumari
Yeshwantrao Chavan College of Engineering, Nagpur, Baba Ghulam Shah Badshah University, Symbiosis International University - Symbiosis Institute of Operations Management, Graphic Era Hill University, Dehradun, India and Malla Reddy Institute Technology
Downloads 99 (694,528)

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Smart load optimization, demand-side energy management, machine learning algorithms, ant colony optimization, household sector, intelligent grid, energy optimization, cost reduction

3.

AI-Based Algorithm for Enhancing Handwritten Digit Recognition

Proceedings of the 3rd International Conference on Optimization Techniques in the Field of Engineering (ICOFE-2024)
Number of pages: 7 Posted: 23 Jan 2025
Pilli Lalitha Kumari, K Jamberi, K Suriya, Shanker Chandre, V M Gobinath and S. Sajith
Malla Reddy Institute Technology, S.A. College of Arts & Science, Sri Krishna College of Engineering and Technology, SR University, Rajalakshmi Institute of Technology (RIT), Chennai and BJM Government College
Downloads 45 (1,121,190)

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Handwritten digit recognition, Convolutional Neural Networks, Deep learning, Data augmentation, Dropout regularization, MNIST, Pattern recognition. AI-driven models, Feature extraction.