Tootfinder

CLIP-Embed-KD: Computationally Efficient Knowledge Distillation Using Embeddings as Teachers
Lakshmi Nair
https://arxiv.org/abs/2404.06170 https://<…

CLIP-Embed-KD: Computationally Efficient Knowledge Distillation Using Embeddings as Teachers
Contrastive Language-Image Pre-training (CLIP) has been shown to improve zero-shot generalization capabilities of language and vision models. In this paper, we extend CLIP for efficient knowledge distillation, by utilizing embeddings as teachers. Typical knowledge distillation frameworks require running forward passes through a teacher model, which is often prohibitive in the case of billion or trillion parameter teachers. In these cases, using only the embeddings of the teacher models to guide…

Finding fake reviews in e-commerce platforms by using hybrid algorithms
Mathivanan Periasamy, Rohith Mahadevan, Bagiya Lakshmi S, Raja CSP Raman, Hasan Kumar S, Jasper Jessiman
https://arxiv.org/abs/2404.06339

Finding fake reviews in e-commerce platforms by using hybrid algorithms
Sentiment analysis, a vital component in natural language processing, plays a crucial role in understanding the underlying emotions and opinions expressed in textual data. In this paper, we propose an innovative ensemble approach for sentiment analysis for finding fake reviews that amalgamate the predictive capabilities of Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Decision Tree classifiers. Our ensemble architecture strategically combines these diverse models to capitalize on…

Non-radial oscillations in anisotropic dark energy stars
O. P. Jyothilakshmi, Lakshmi J. Naik, V. Sreekanth
https://arxiv.org/abs/2403.00711 https://

Non-radial oscillations in anisotropic dark energy stars
We study the non-radial $f$-mode oscillations of both isotropic and anisotropic dark energy stars by using the modified Chaplygin prescription of dark energy to model the stellar matter. The anisotropic pressure in the system is modeled with Bowers-Liang prescription. By solving the stellar structure equations in presence of anisotropy, we study the global properties of the dark energy star and compare the mass-radius profiles with data from GW events and milli-second pulsars. We proceed to det…

A Heterogeneous Agent Model of Mortgage Servicing: An Income-based Relief Analysis
Deepeka Garg, Benjamin Patrick Evans, Leo Ardon, Annapoorani Lakshmi Narayanan, Jared Vann, Udari Madhushani, Makada Henry-Nickie, Sumitra Ganesh
https://arxiv.org/abs/2402.17932

A Heterogeneous Agent Model of Mortgage Servicing: An Income-based Relief Analysis
Mortgages account for the largest portion of household debt in the United States, totaling around \$12 trillion nationwide. In times of financial hardship, alleviating mortgage burdens is essential for supporting affected households. The mortgage servicing industry plays a vital role in offering this assistance, yet there has been limited research modelling the complex relationship between households and servicers. To bridge this gap, we developed an agent-based model that explores household be…

Eruption of a million-Kelvin warm magnetic flux rope on the Sun
Leping Li, Hongqiang Song, Hardi Peter, Lakshmi Pradeep Chitta, Xin Cheng, Zhentong Li, Guiping Zhou
https://arxiv.org/abs/2404.09514

Eruption of a million-Kelvin warm magnetic flux rope on the Sun
Solar magnetic flux rope (MFR) plays a central role in the physics of coronal mass ejections (CMEs). It mainly includes a cold filament at typical chromospheric temperatures (10000 K) and a hot channel at high coronal temperatures (10 MK). The warm MFR at quiescent coronal temperatures of a million Kelvin is, however, rarely reported. In this study, using multiwavelength images from Atmospheric Imaging Assembly (AIA) on board the Solar Dynamic Observatory (SDO) and Extreme Ultraviolet Imager (E…

EventF2S: Asynchronous and Sparse Spiking AER Framework using Neuromorphic-Friendly Algorithm
Lakshmi Annamalai, Chetan Singh Thakur
https://arxiv.org/abs/2402.10078

EventF2S: Asynchronous and Sparse Spiking AER Framework using Neuromorphic-Friendly Algorithm
Bio-inspired Address Event Representation (AER) sensors have attracted significant popularity owing to their low power consumption, high sparsity, and high temporal resolution. Spiking Neural Network (SNN) has become the inherent choice for AER data processing. However, the integration of the AER-SNN paradigm has not adequately explored asynchronous processing, neuromorphic compatibility, and sparse spiking, which are the key requirements of resource-constrained applications. To address this ga…

TIPS: Threat Sharing Information Platform for Enhanced Security
Lakshmi Rama Kiran Pasumarthy, Hisham Ali, William J Buchanan, Jawad Ahmad, Audun Josang, Vasileios Mavroeidis, Mouad Lemoudden
https://arxiv.org/abs/2403.05210

TIPS: Threat Sharing Information Platform for Enhanced Security
There is an increasing need to share threat information for the prevention of widespread cyber-attacks. While threat-related information sharing can be conducted through traditional information exchange methods, such as email communications etc., these methods are often weak in terms of their trustworthiness and privacy. Additionally, the absence of a trust infrastructure between different information-sharing domains also poses significant challenges. These challenges include redactment of info…

Eruption of a million-Kelvin warm magnetic flux rope on the Sun
Leping Li, Hongqiang Song, Hardi Peter, Lakshmi Pradeep Chitta, Xin Cheng, Zhentong Li, Guiping Zhou
https://arxiv.org/abs/2404.09514

Eruption of a million-Kelvin warm magnetic flux rope on the Sun
Solar magnetic flux rope (MFR) plays a central role in the physics of coronal mass ejections (CMEs). It mainly includes a cold filament at typical chromospheric temperatures (10000 K) and a hot channel at high coronal temperatures (10 MK). The warm MFR at quiescent coronal temperatures of a million Kelvin is, however, rarely reported. In this study, using multiwavelength images from Atmospheric Imaging Assembly (AIA) on board the Solar Dynamic Observatory (SDO) and Extreme Ultraviolet Imager (E…

TIPS: Threat Sharing Information Platform for Enhanced Security
Lakshmi Rama Kiran Pasumarthy, Hisham Ali, William J Buchanan, Jawad Ahmad, Audun Josang, Vasileios Mavroeidis, Mouad Lemoudden
https://arxiv.org/abs/2403.05210

TIPS: Threat Sharing Information Platform for Enhanced Security
There is an increasing need to share threat information for the prevention of widespread cyber-attacks. While threat-related information sharing can be conducted through traditional information exchange methods, such as email communications etc., these methods are often weak in terms of their trustworthiness and privacy. Additionally, the absence of a trust infrastructure between different information-sharing domains also poses significant challenges. These challenges include redactment of info…

Selective Encryption using Segmentation Mask with Chaotic Henon Map for Multidimensional Medical Images
S Arut Prakash, Aditya Ganesh Kumar, Prabhu Shankar K. C., Lithicka Anandavel, Aditya Lakshmi Narayanan
https://arxiv.org/abs/2403.04781

Selective Encryption using Segmentation Mask with Chaotic Henon Map for Multidimensional Medical Images
A user-centric design and resource optimization should be at the center of any technology or innovation. The user-centric perspective gives the developer the opportunity to develop with task-based optimization. The user in the medical image field is a medical professional who analyzes the medical images and gives their diagnosis results to the patient. This scheme, having the medical professional user's perspective, innovates in the area of Medical Image storage and security. The architecture i…

Selective Encryption using Segmentation Mask with Chaotic Henon Map for Multidimensional Medical Images
S Arut Prakash, Aditya Ganesh Kumar, Prabhu Shankar K. C., Lithicka Anandavel, Aditya Lakshmi Narayanan
https://arxiv.org/abs/2403.04781

Selective Encryption using Segmentation Mask with Chaotic Henon Map for Multidimensional Medical Images
A user-centric design and resource optimization should be at the center of any technology or innovation. The user-centric perspective gives the developer the opportunity to develop with task-based optimization. The user in the medical image field is a medical professional who analyzes the medical images and gives their diagnosis results to the patient. This scheme, having the medical professional user's perspective, innovates in the area of Medical Image storage and security. The architecture i…