output
20132025
most citedFinancial Fraud Detection using Quantum Graph Neural Networks

112 citations

12 papers

astro-ph.HE2025

Infrared Synchrotron Emission in the Soft State of GX 339-4 and the Mid-Infrared/X-ray Luminosity Plane of Black Hole X-ray Binaries

P. Gandhi, D. M. Russell, M. C. Baglio +33

Progress in understanding the growth of accreting black holes remains hampered by a lack of sensitive coordinated multiwavelength observations. In particular, the mid-infrared (MIR…

quant-ph2024★ 2 cited

MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption

Siddhant Dutta, Nouhaila Innan, Sadok Ben Yahia +2

The integration of fully homomorphic encryption (FHE) in federated learning (FL) has led to significant advances in data privacy. However, during the aggregation phase, it often re…

cs.IR2024★ 1 cited

Enhancing the conformal predictability of context-aware recommendation systems by using Deep Autoencoders

Saloua Zammali, Siddhant Dutta, Sadok Ben Yahia

In the field of Recommender Systems (RS), neural collaborative filtering represents a significant milestone by combining matrix factorization and deep neural networks to achieve pr…

cs.CV2024★ 13 cited

A Multimodal Framework for Deepfake Detection

Kashish Gandhi, Prutha Kulkarni, Taran Shah +3

The rapid advancement of deepfake technology poses a significant threat to digital media integrity. Deepfakes, synthetic media created using AI, can convincingly alter videos and a…

quant-ph2024★ 26 cited

QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction

Siddhant Dutta, Nouhaila Innan, Alberto Marchisio +2

Financial market prediction and optimal trading strategy development remain challenging due to market complexity and volatility. Our research in quantum finance and reinforcement l…

cs.LG2024★ 6 cited

Predicting Solar Energy Generation with Machine Learning based on AQI and Weather Features

Arjun Shah, Varun Viswanath, Kashish Gandhi +1

This paper addresses the pressing need for an accurate solar energy prediction model, which is crucial for efficient grid integration. We explore the influence of the Air Quality I…

quant-ph2023★ 112 cited

Financial Fraud Detection using Quantum Graph Neural Networks

Nouhaila Innan, Abhishek Sawaika, Ashim Dhor +7

Financial fraud detection is essential for preventing significant financial losses and maintaining the reputation of financial institutions. However, conventional methods of detect…

cs.DC2018★ 3 cited

A Big Data Architecture for Log Data Storage and Analysis

Swapneel Mehta, Prasanth Kothuri, Daniel Lanza Garcia

We propose an architecture for analysing database connection logs across different instances of databases within an intranet comprising over 10,000 users and associated devices. Ou…

cs.CY2018★ 3 cited

Auto-Grading for 3D Modeling Assignments in MOOCs

Swapneel Mehta, Chirag Raman, Nitin Ayer +1

Bottlenecks such as the latency in correcting assignments and providing a grade for Massive Open Online Courses (MOOCs) could impact the levels of interest among learners. In this…

cs.CL2016★ 18 cited

Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Scarcity

Vinayak Athavale, Shreenivas Bharadwaj, Monik Pamecha +2

In this paper we describe an end to end Neural Model for Named Entity Recognition NER) which is based on Bi-Directional RNN-LSTM. Almost all NER systems for Hindi use Language Spec…

cs.CR2015★ 19 cited

Enhancing the security of caesar cipher substitution method using a randomized approach for more secure communication

Atish Jain, Ronak Dedhia, Abhijit Patil

Caesar cipher is an ancient, elementary method of encrypting plain text message to protect it from adversaries. However, with the advent of powerful computers there is a need for i…

cs.NI2013

Social Network for Smart Devices using Embedded Ethernet

Ketul Sheth, Shreya Shah, Darshan Shah +1

Embedded Ethernet is nothing but a microcontroller which is able to communicate with the network. A design of AVR controller-based embedded Ethernet interface is presented. In the…