13 citations
- Maersk (Denmark)DK2 papers
- New York University Abu DhabiAE2 papers
- Astronomical Institute of the Slovak Academy of SciencesSK1 paper
- Astronomical Observatory of RomeIT1 paper
- Brera Astronomical ObservatoryIT1 paper
- Butler UniversityUS1 paper
- Canada–France–Hawaii TelescopeUS1 paper
- Durham UniversityGB1 paper
- Eureka ScientificUS1 paper
- Institute for Space Astrophysics and PlanetologyIT1 paper
- Instituto de Astrofísica de CanariasES1 paper
- Inter-University Centre for Astronomy and AstrophysicsIN1 paper
5 papers
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…
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…
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…
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…
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…