Raja Kumar

Experimental Approach to Ground Vibration Mitigation using Dual Barriers-Filled with Different Materials

Saurav Kumar, Nitish Jauhari, Raja Kumar, Pradipta Chakrabortty

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In-vitro evaluation of multicomponent scaffold with kappa carrageenan, tendon extracellular matrix and calcium-magnesium silicate for periodontal bone regeneration

G Supraja, S. Balaji Ganesh, Raja Kumar, Gurumoorthy Kaarthikeyan

Introduction: Chronic periodontitis is a complex combinatory disease that eventually upsets periodontal tissues, ultimately leading to tooth loss. In vertical bone loss defects, therapy includes surgical procedures, such as flap surgery with debridement associated with scaffolds, grafts, or membranes. The aim of …

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A Literature Survey on Quantum Computing in Next Generation Challenges in Circuit Design and Applications of Future Enabling Technologies

Kedar Hiremath, Shruti Hiremath, Priyanka Kumari Bhansali, Chethana R.M. et autres

Quantum technology is developing so quickly, that there has been intense research for quantum technologies in both academia and industry in recent years.Documents and literature have been created in vast quantities as the capability of quantum computers continues to increase.After an informative …

Sentiment Tendency Analysis and Personalized Recommendation of Movie Reviews Driven by Deep Learning

Yadong Tian, Noor Hasrina Bakar, Raja Kumar, Uswa Ihsan et autres

This article offers a general evaluation of personalized recommendation systems and movie review sentiment analysis using recent deep learning (DL) methods. The paper shows how DL models—especially CNNs, RNNs, and transformers such as BERT (Bidirectional Encoder Representations from Transformers)—help to execute advanced …

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AI-Generated Audio Recognition System Based on Deep Learning

Ke Yang, Raja Kumar, Sarerusaenye Ismail, Siti Zainab Ibrahim et autres

The study observes that breakthroughs in the development of AI have made it possible to produce sounds in audio interfaces that mimic human speech to the extent that they are extremely hard to distinguish from natural speech. The objective of this work …

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Automatic Detection and Classification of Printed Circuit Board Ink Printing Defects Based on Deep Learning Technique

Shao Mingdi, Shakeel Ahmed, Raja Kumar, Anbuselvan Sangodiah et autres

The automatic detection and classification system of Printed Circuit Board (PCB) ink printing defects based on deep learning plays an important role in modern manufacturing. With the continuous improvement of PCB product quality and production efficiency requirements, traditional manual detection methods have …

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FitGenie: AI-Powered Personal Fitness Tracker

Manjari Burhanpurkar, K. Manisha, Raja Kumar

The Gen AI Smart Fitness Tracker is a next-generation health and wellness solution that integrates Artificial Intelligence (AI), posture detection, and real-time body analytics to revolutionize personal fitness.This smart system is designed to monitor, analyze, and guide users through personalized workouts while …

Sustainable Vibration Screening with Dual Trenches Infilled with Geofoam and Aggregate: Full-Scale Field Experiments

Pradipta Chakrabortty, Nitish Jauhari, Raja Kumar, Diego Maria Barbieri

Abstract Ground-borne vibrations resulting from various civil engineering activities can cause detrimental impacts on the nearby structures. Therefore, past studies have concentrated on developing vibration mitigation techniques. Vibration screening using wave barriers is a widely accepted approach, and continuous research has been …

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Leveraging ChatGPT-3.5 for Automated Evaluation of Time Complexity in Programming Assignments

Raja Kumar, Sushant Phalke, Deependra Singh Rajput, S. Thomas

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Enhancing Sound Absorption of Curvature Damped Membrane With Heterogenous Microperforated Panel

Raja Kumar, Amiya Ranjan Mohanty

Abstract Integrating a membrane layer atop microperforated panels (MPP) prevents dust accumulation within the pores, thus preserving their acoustic performance. The induced tension and curvature-induced damping of the membrane on the fixed rim affect the sound absorption. The sound absorption caused by …

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Comparative Study of Thermal Criteria and Fluid-Flow Criteria in Micro and Mini Channel Design Constrains with or without Insert Made of Aluminum Material

Shivasheesh Kaushik, Jagdish Singh Mehta, Satyendra Kumar Singh, Vikas Singh Mahar et autres

Through experimental and simulation results, a comparison between mini and micro channels with inserts or without inserts is conducted; in this case, water is the only working fluid used for present experimentation. In order to research the fluid flow and micro channel …

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Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification

Raja Kumar, Raghav Singhal, Pranamya Kulkarni, Deval Mehta et autres

Deep multimodal learning has shown remarkable success by leveraging contrastive learning to capture explicit one-to-one relations across modalities. However, real-world data often exhibits shared relations beyond simple pairwise associations. We propose M3CoL, a Multimodal Mixup Contrastive Learning approach to capture nuanced shared …