Search Results - "Tyagi, Utkarsh"
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An Ultrathin Polarization Free Asterick-Shaped Metamaterial Absorber with Quad-Band Characteristics
Published in International journal of antennas and propagation (05-09-2023)“…In this paper, a quad-band absorber is proposed and developed, which is exhibiting ultrathin and polarization insensitive behaviour. It has been designed to be…”
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Pesticides and Human Health: Antioxidants and Heat Shock Proteins as Modulators of Cell Survival Signal
Published in Journal of clinical and diagnostic research (01-07-2022)“…In the modern times, insecticides have grown to be an essential part of the atmosphere. Their full-size use in public health packages and agriculture has ended…”
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An ultra-thin quad-band metamaterial inspired absorber using symmetric bent-arrow shaped resonator for sensing and imaging in defense applications
Published in Materials research express (01-11-2020)“…In this paper, a novel compact quad-band polarization insensitive metamaterial absorber has been proposed to be employable in the microwave frequency regime…”
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Ultrafast, trace-level detection of NH3 gas at room temperature using hexagonal-shaped ZnO nanoparticles grown by novel green synthesis technique
Published in Physica. B, Condensed matter (01-02-2022)“…Herein, an ultrafast, sensor has been developed for trace-level detection of Ammonia (NH3) gas using hexagonal-shaped ZnO nanoparticles (NPs). The ZnO NPs were…”
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mFlameGaze: Mobile-Based Flame Gazing for Improving Sustained Attention
Published in 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS) (05-01-2021)“…Yogic visual concentration techniques have proved to create a long term effect on mindfulness in adults. However, none of the existing gaze detection platforms…”
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Conference Proceeding -
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A Hybrid Approach of ANN-GWO Technique for Intrusion Detection
Published in 2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) (27-08-2021)“…As informed individuals, while keeping ourselves updated with the whereabouts of the world, we often come across news articles with bold headlines outlining…”
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Conference Proceeding -
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Do Vision-Language Models Understand Compound Nouns?
Published 30-03-2024“…Open-vocabulary vision-language models (VLMs) like CLIP, trained using contrastive loss, have emerged as a promising new paradigm for text-to-image retrieval…”
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CNN based Variation and Prediction Analysis of 2m Air Temperature for Different Zones of the Indian Region
Published in 2021 5th International Conference on Computing Methodologies and Communication (ICCMC) (08-04-2021)“…Time series forecasting is a method that predicts future values by analyzing past values. Temperature alarms are valuable predictions because they are used to…”
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Conference Proceeding -
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BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER
Published 17-05-2023“…Biomedical Named Entity Recognition (BioNER) is the fundamental task of identifying named entities from biomedical text. However, BioNER suffers from severe…”
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LipGER: Visually-Conditioned Generative Error Correction for Robust Automatic Speech Recognition
Published 06-06-2024“…Visual cues, like lip motion, have been shown to improve the performance of Automatic Speech Recognition (ASR) systems in noisy environments. We propose LipGER…”
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ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions
Published 06-06-2024“…We present ABEX, a novel and effective generative data augmentation methodology for low-resource Natural Language Understanding (NLU) tasks. ABEX is based on…”
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Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs
Published 24-05-2024“…Large Vision-Language Models (LVLMs) often produce responses that misalign with factual information, a phenomenon known as hallucinations. While hallucinations…”
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CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP
Published 30-03-2024“…We present CoDa (Constrained Generation based Data Augmentation), a controllable, effective, and training-free data augmentation technique for low-resource…”
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MMER: Multimodal Multi-task Learning for Speech Emotion Recognition
Published 31-03-2022“…In this paper, we propose MMER, a novel Multimodal Multi-task learning approach for Speech Emotion Recognition. MMER leverages a novel multimodal network based…”
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MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark
Published 24-10-2024“…The ability to comprehend audio--which includes speech, non-speech sounds, and music--is crucial for AI agents to interact effectively with the world. We…”
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DALE: Generative Data Augmentation for Low-Resource Legal NLP
Published 24-10-2023“…We present DALE, a novel and effective generative Data Augmentation framework for low-resource LEgal NLP. DALE addresses the challenges existing frameworks…”
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AdVerb: Visually Guided Audio Dereverberation
Published 23-08-2023“…We present AdVerb, a novel audio-visual dereverberation framework that uses visual cues in addition to the reverberant sound to estimate clean audio. Although…”
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ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations
Published 19-08-2023“…Neural image classifiers can often learn to make predictions by overly relying on non-predictive features that are spuriously correlated with the class labels…”
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GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities
Published 17-06-2024“…Perceiving and understanding non-speech sounds and non-verbal speech is essential to making decisions that help us interact with our surroundings. In this…”
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