Explanipedia

Grid-connected PV inverter system control optimization using Grey Wolf optimized PID controller Open

Monika Gupta, Pyare Mohan Tiwari, Rajkumar Viral, Ashish Shrivastava, Basem Abu Zneid , et al. · 2025

This paper introduces a robust and adaptive control framework that integrates a Proportional-Integral-Derivative (PID) controller with the bio-inspired Grey Wolf Optimization (GWO) algorithm for real-time tuning of controller parameters in…

Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Open

Reza Akbarian Bafghi, Carden Bagwell, Avinash Ravichandran, Ashish Shrivastava, Maziar Raissi · 2025

Adapting deep learning models to new domains often requires computationally intensive retraining and risks catastrophic forgetting. While fine-tuning enables domain-specific adaptation, it can reduce robustness to distribution shifts, impa…

Design and Optimization of Robust Lcl Filters for Grid-Connected Inverters Using Metaheuristic Algorithms Under Variable Grid Conditions Open

Sandeep Tripathi, Ashish Shrivastava, Kartick Chandra Jana · 2025

Phenomenology of (3+1) Four Flavour Neutrino Oscillations in Dense Matter Open

Ashish Shrivastava, Bipin Singh Koranga, Seema Rawat · 2024

The mass square difference varies as neutrinos interact with the matter, assuming four flavours of neutrino oscillations. Three regions – vacuum-dominated, resonance-dominated, and matter-dominated – are where the neutrinos oscillate. This…

VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition Open

Zaiwei Zhang, Gregory P. Meyer, Zhichao Lu, Ashish Shrivastava, Avinash Ravichandran , et al. · 2024

For visual recognition, knowledge distillation typically involves transferring knowledge from a large, well-trained teacher model to a smaller student model. In this paper, we introduce an effective method to distill knowledge from an off-…

InVi: Object Insertion In Videos Using Off-the-Shelf Diffusion Models Open

Nirat Saini, Navaneeth Bodla, Ashish Shrivastava, Avinash Ravichandran, Xiao Zhang , et al. · 2024

We introduce InVi, an approach for inserting or replacing objects within videos (referred to as inpainting) using off-the-shelf, text-to-image latent diffusion models. InVi targets controlled manipulation of objects and blending them seaml…

GenMM: Geometrically and Temporally Consistent Multimodal Data Generation for Video and LiDAR Open

Bharat Singh, Viveka Kulharia, Luyu Yang, Avinash Ravichandran, Ambrish Tyagi , et al. · 2024

Multimodal synthetic data generation is crucial in domains such as autonomous driving, robotics, augmented/virtual reality, and retail. We propose a novel approach, GenMM, for jointly editing RGB videos and LiDAR scans by inserting tempora…

Author Index Open

Md Mazharunn, Isa Ajayrana, Anuj Kumar, Ajay Sıngh, Naveen kumar Kurra , et al. · 2024

Graphene: Efficient Protective Coating Material for Current Collector in Energy Storage Devices Open

Satya Narayan Agawal, Ashish Shrivastava, Kulwant Singh, Amit Soni · 2024

Aluminium and copper foils are commonly used as current collectors due to low contact resistance, low price and high conductivity, in lithium ion (Li-ion) battery. Localized electrolyte corrosion during long-term cycling, weak bonding of t…

SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors Open

Hongge Chen, Chen Zhao, Gregory P. Meyer, Dennis Park, Carl Vondrick , et al. · 2023

We present SHIFT3D, a differentiable pipeline for generating 3D shapes that are structurally plausible yet challenging to 3D object detectors. In safety-critical applications like autonomous driving, discovering such novel challenging obje…

NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects Open

Dakshit Agrawal, Jiajie Xu, Siva Karthik Mustikovela, Ioannis Gkioulekas, Ashish Shrivastava , et al. · 2023

We propose a novel-view augmentation (NOVA) strategy to train NeRFs for photo-realistic 3D composition of dynamic objects in a static scene. Compared to prior work, our framework significantly reduces blending artifacts when inserting mult…

AptSim2Real: Approximately-Paired Sim-to-Real Image Translation Open

Charles Y Zhang, Ashish Shrivastava · 2023

Advancements in graphics technology has increased the use of simulated data for training machine learning models. However, the simulated data often differs from real-world data, creating a distribution gap that can decrease the efficacy of…

Jarlskog Determinant in Four Flavor Neutrino Oscillation Framework Open

Vivek Kumar Nautiyal, Bipin Singh Koranga, Sanjay Kumar Padaliya, Neelam Das, Ashish Shrivastava · 2023

The weak CP voilation in leptonic sector is potentially one of the key aspectto probe the physics beyond the Standard Model (SM). This article majorlyfocus on the Dirac CP phase effect on the Jarlskog Deteminant in four flavorneutrino fram…

Optimal Placement and Sizing of Electric Vehicle Charging Infrastructure in a Grid-Tied DC Microgrid Using Modified TLBO Method Open

Nandini K. Krishnamurthy, N. S. Jayalakshmi, Vinay Kumar Jadoun, D. N. Gaonkar, Ashish Shrivastava , et al. · 2023

In this work, a DC microgrid consists of a solar photovoltaic, wind power system and fuel cells as sources interlinked with the utility grid. The appropriate sizing and positioning of electric vehicle charging stations (EVCSs) and renewabl…

Performance Optimization and Numerical Analysis of Boiler at Husk Fuel Based Thermal Power Plant Open

Ravindra Mohan, Nishant Saxena, Ashish Shrivastava, Pushpendra Kumar Sharma, Abhishek Choubey , et al. · 2023

The increasing cost of fuel oil forced the industry to search for alternate fuels, and biomass. In general, rice husks were considered an appropriate substitute for producing energy. Because, the use of rice husk offered lot of benefits su…

Optimization of Radiation Shielding Considerations for Designing Halcyon Vault Open

Amanjot Kaur, G. Sahani, Ashish Shrivastava, P.N. Pawaskar · 2023

Purpose: To determine the radiation shielding considerations for optimization of Halcyon vault shielding requirements. Materials and Methods: The primary and leakage workloads were estimated using actual clinical treatment planning and tre…

I see what you hear: a vision-inspired method to localize words Open

Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Minsik Cho, Aman Chadha , et al. · 2022

This paper explores the possibility of using visual object detection techniques for word localization in speech data. Object detection has been thoroughly studied in the contemporary literature for visual data. Noting that an audio can be …

A possible explanation for the existence of multisystem inflammatory syndrome in children (MIS-C) only in the pediatric population Open

Ashish Shrivastava · 2022

Abstract: Multisystem inflammatory syndrome in children (MIS-C) is a relatively new disease that came into existence after the COVID-19 pandemic. It is defined as a multisystem inflammatory condition post-COVID-19 infectio…

Design of energy-saving driver circuit for 80 Watt LED using Flyback Converter Open

Rajesh Narayan Deo, Ashish Shrivastava, Kalyan Chatterjee · 2022

Due to numerous features such as compact size, longevity, mercury-free start, and higher color rendering index, the introduction of light-emitting diode (LED) lights has changed residential and commercial lighting systems worldwide. There …

A Recapitulation of Electric Spring for Demand Side Management & Power Quality Mitigation Open

Sanjana Satish Solanke, Vinay Kumar Jadoun, N. S. Jayalakshmi, Neeraj Kanwar, Ashish Shrivastava · 2022

The Mechanical Springs act has developed into electric spring (ES). The efficient law developed by Hooke’s, has been upraised with the new scientific application which pays vital role in this modern society. The main function of this highl…

NL-Augmenter: A Framework for Task-Sensitive Natural Language\n Augmentation Open

Kaustubh Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li , et al. · 2021

Data augmentation is an important component in the robustness evaluation of\nmodels in natural language processing (NLP) and in enhancing the diversity of\nthe data they are trained on. In this paper, we present NL-Augmenter, a new\npartic…

Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition Open

Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Swetha Koppula , et al. · 2021

With recent advances in speech synthesis, synthetic data is becoming a viable alternative to real data for training speech recognition models. However, machine learning with synthetic data is not trivial due to the gap between the syntheti…

Style Equalization: Unsupervised Learning of Controllable Generative\n Sequence Models Open

Jen-Hao Rick Chang, Ashish Shrivastava, Hema Swetha Koppula, Xiaoshuai Zhang, Oncel Tuzel · 2021

Controllable generative sequence models with the capability to extract and\nreplicate the style of specific examples enable many applications, including\nnarrating audiobooks in different voices, auto-completing and auto-correcting\nwritte…

Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models Open

Jen-Hao Rick Chang, Ashish Shrivastava, Hema Swetha Koppula, Xiaoshuai Zhang, Oncel Tuzel · 2021

Controllable generative sequence models with the capability to extract and replicate the style of specific examples enable many applications, including narrating audiobooks in different voices, auto-completing and auto-correcting written h…

CANDLE: Decomposing Conditional and Conjunctive Queries for\n Task-Oriented Dialogue Systems Open

Aadesh Gupta, Kaustubh Dhole, Rahul Tarway, Swetha Prabhakar, Ashish Shrivastava · 2021

Domain-specific dialogue systems generally determine user intents by relying\non sentence level classifiers that mainly focus on single action sentences.\nSuch classifiers are not designed to effectively handle complex queries\ncomposed of…

CANDLE: Decomposing Conditional and Conjunctive Queries for Task-Oriented Dialogue Systems Open

Aadesh Gupta, Kaustubh Dhole, Rahul Tarway, Swetha Prabhakar, Ashish Shrivastava · 2021

Domain-specific dialogue systems generally determine user intents by relying on sentence level classifiers that mainly focus on single action sentences. Such classifiers are not designed to effectively handle complex queries composed of co…

Matter Effects on Mass Square Difference for Four Flavor Neutrino Oscillation Open

Vivek Kumar Nautiyal, Bipin Singh Koranga, Ashish Shrivastava, Neelam Das · 2021

We consider the matter effects on four flavor neutrino oscillation scheme (3+1). In presence of sterile neutrino, the simplest four flavor neutrino mixing there are six mixing angles and three Dirac CP phases. In this paper, we discuss abo…

Effect of oil cake extract and organic manure on wilt of chickpea (Cicer areitinum L.) caused by Fusarium oxysporum f. sp. ciceri in vitro Open

Ashish Shrivastava · 2021

Studies were conducted to test the effect of oil cakes and organic manures on the growth of wilt pathogen under in vitro conditions. The extract of different oil cakes and organic manures were tested against F. oxysporum f. sp. ciceri by p…

Optimize What Matters: Training DNN-Hmm Keyword Spotting Model Using End Metric Open

Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel · 2021

Deep Neural Network--Hidden Markov Model (DNN-HMM) based methods have been successfully used for many always-on keyword spotting algorithms that detect a wake word to trigger a device. The DNN predicts the state probabilities of a given sp…

SLAP: a Split Latency Adaptive VLIW Pipeline Architecture Which Enables on-The-Fly Variable SIMD Vector-Length Open

Ashish Shrivastava, Alan Gatherer, Tong Sun, Sushma Wokhlu, Alex Chandra · 2021

Over the last decade the relative latency of access to shared memory by multicore increased as wire resistance dominated latency and low wire density layout pushed multiport memories farther away from their ports. Various techniques were d…

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