390 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- IMT AtlantiqueFR5 papers
- InsermFR5 papers
- Laboratoire de Traitement de l'Information MédicaleFR5 papers
- Centre Hospitalier Régional Universitaire de BrestFR4 papers
- GLA UniversityIN3 papers
- University of RwandaRW3 papers
- Alberta Machine Intelligence InstituteCA2 papers
- American College of RadiologyUS2 papers
- Aminu Kano Teaching HospitalNG2 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS2 papers
- Baylor College of MedicineUS2 papers
- Brigham and Women's HospitalUS2 papers
30 papers
Information availability in different languages and various technological constraints related to multilinguism on the Internet
Sonal Khosla, Haridasa Acharya
The usage of Internet has grown exponentially over the last two decades. The number of Internet users has grown from 16 Million to 1650 Million from 1995 to 2010. It has become a m…
Testing Gauss-Bonnet Gravity with DESI BAO Data
Praveen Kumar Dhankar, Dalale Mhamdi, Albert Munyeshyaka +3
In the present paper, we observationally constrain f (G) gravity at the background level using Type Ia supernovae from the Pantheon Plus (PP) sample, cosmic chronometer (CC) data,…
Matter power spectrum in a power-law gravity
Albert Munyeshyaka, Praveen Kumar Dhankar, Joseph Ntahompagaze
Cosmological models based on gravity are efficient in fitting different observational datasets at both background and perturbation levels. This motivates the current study t…
Efficient Cybersecurity Assessment Using SVM and Fuzzy Evidential Reasoning for Resilient Infrastructure
Zaydon L. Ali, Wassan Saad Abduljabbar Hayale, Israa Ibraheem Al_Barazanchi +3
With current advancement in hybermedia knowledges, the privacy of digital information has developed a critical problem. To overawed the susceptibilities of present security protoco…
Joint Analysis of Constraints on f(R) Parametrization from Recent Cosmological Observations
Darshan Kumar, Praveen Kumar Dhankar, Saibal Ray +1
In this study, we present constraints on the parameters of three well-known gravity models, viz. (i) Hu-Sawicki, (ii) Starobinsky, and (iii) ArcTanh by using a joint analysi…
Perturbations with bulk viscosity in modified chaplygin gas cosmology
Albert Munyeshyaka, Praveen Kumar Dhankar, Joseph Ntahompagaze
In the present work, we investigate cosmological perturbations of viscous modified chaplygin gas model. Using 1 + 3 covariant formalism, we define covariant and gauge invariant gra…
Holographic description of unified early and late universe in viscous mimetic gravity
G. S Khadekar Saibal Ray Aritra Sanyal
In this study, we explore the mimetic matter model proposed by Chamseddine and Mukhanov (J. High Energy Phys. 11, 135, 2013), utilizing the holographic principle to coherently desc…
Thermodynamics of a Non-canonical gravity
Arijit Panda, Goutam Manna, Saibal Ray +2
This work comprises a study of the thermodynamic behavior of modified gravity, which had been developed based on a non-canonical theory known as K-essence theo…
Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation
Shubham Kumar Nigam, Aniket Deroy, Noel Shallum +6
This paper describes our submission to the SemEval-2023 for Task 6 on LegalEval: Understanding Legal Texts. Our submission concentrated on three subtasks: Legal Named Entity Recogn…
Employing Multimodal Machine Learning for Stress Detection
Rahee Walambe, Pranav Nayak, Ashmit Bhardwaj +1
In the current age, human lifestyle has become more knowledge oriented leading to generation of sedentary employment. This has given rise to a number of health and mental disorders…
A Lightweight Authentication Protocol against Modeling Attacks based on a Novel LFSR-APUF
Yao Wang, Xue Mei, Zhengtai Chang +3
Simple authentication protocols based on conventional physical unclonable function (PUF) are vulnerable to modeling attacks and other security threats. This paper proposes an arbit…
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors
Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons +2
Clinical diagnosis of the pediatric musculoskeletal system relies on the analysis of medical imaging examinations. In the medical image processing pipeline, semantic segmentation u…
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…
Strain assisted magnetization switching in ordered nanomagnets of CoFe2O4/SrRuO3/PMNPT hetrostructures
Anju Ahlawat, Azam Ali khan, Pratik Deshmukh +5
We have explored the electric field controlled magnetization in the nanodot CoFe2O4/SrRuO3/PMN-PT heterostructures. Ordered ferromagnetic CFO nanodots (~300 nm lateral dimension) a…
Dynamic multi feature-class Gaussian process models
Jean-Rassaire Fouefack, Bhushan Borotikar, Marcel Lüthi +3
In model-based medical image analysis, three features of interest are the shape of structures of interest, their relative pose, and image intensity profiles representative of some…
Incremental learning of LSTM framework for sensor fusion in attitude estimation
Parag Narkhede, Rahee Walambe, Shashi Poddar +1
This paper presents a novel method for attitude estimation of an object in 3D space by incremental learning of the Long-Short Term Memory (LSTM) network. Gyroscope, accelerometer,…
Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation
Parag Narkhede, Shashi Poddar, Rahee Walambe +2
Attitude estimation is the process of computing the orientation angles of an object with respect to a fixed frame of reference. Gyroscope, accelerometer, and magnetometer are some…
Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions
Anil Rahate, Rahee Walambe, Sheela Ramanna +1
Multimodal deep learning systems which employ multiple modalities like text, image, audio, video, etc., are showing better performance in comparison with individual modalities (i.e…
Gas Detection and Identification Using Multimodal Artificial Intelligence Based Sensor Fusion
Parag Narkhede, Rahee Walambe, Shruti Mandaokar +3
With the rapid industrialization and technological advancements, innovative engineering technologies which are cost effective, faster and easier to implement are essential. One suc…
Stance Detection with BERT Embeddings for Credibility Analysis of Information on Social Media
Hema Karande, Rahee Walambe, Victor Benjamin +2
The evolution of electronic media is a mixed blessing. Due to the easy access, low cost, and faster reach of the information, people search out and devour news from online social n…
Comparison of machine learning and deep learning techniques in promoter prediction across diverse species
Nikita Bhandari, Satyajeet Khare, Rahee Walambe +1
Gene promoters are the key DNA regulatory elements positioned around the transcription start sites and are responsible for regulating gene transcription process. Various alignment-…
The Federated Tumor Segmentation (FeTS) Challenge
Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29
This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…
Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets
Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons +2
Automatic segmentation of magnetic resonance (MR) images is crucial for morphological evaluation of the pediatric musculoskeletal system in clinical practice. However, the accuracy…
Multi-Structure Deep Segmentation with Shape Priors and Latent Adversarial Regularization
Arnaud Boutillon, Bhushan Borotikar, Christelle Pons +2
Automatic segmentation of the musculoskeletal system in pediatric magnetic resonance (MR) images is a challenging but crucial task for morphological evaluation in clinical practice…