Poly Sil Sen

ORCID: 0000-0003-3191-2443
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About
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Research Areas
  • Artificial Intelligence in Healthcare
  • IoT and Edge/Fog Computing
  • Big Data and Business Intelligence
  • Data Quality and Management
  • Semantic Web and Ontologies
  • Data Mining Algorithms and Applications
  • Cloud Computing and Resource Management
  • Internet of Things and AI
  • Electronic Health Records Systems
  • Advanced Battery Technologies Research
  • Misinformation and Its Impacts
  • Biomedical Text Mining and Ontologies
  • Smart Grid Energy Management
  • Building Energy and Comfort Optimization
  • COVID-19 diagnosis using AI

University of Engineering & Management
2023

Jadavpur University
2022

Techno India University
2010-2022

In the current scenario, it is possible to provide remote healthcare facilities people living in rural and areas using mobile, health sensor cloud technologies. However, order support a framework store access data generated through this system, necessary develop standard ontology. Till date there no format hold from which uses sensors measure clinical parameters cloud. paper we propose an ontology for framework, particularly focusing on primary delivery. This handles care common causes of...

10.1145/3084035.3084039 article EN 2017-07-10

With the recent advancements in distributed processing, sensor networks, cloud computing and similar technologies, big data has gained importance a number of applications can now be envisaged which could not conceptualised earlier. However, gradually as technologists focus on storing, processing management data, solutions have come up. The objective this paper is to study two such solutions, namely Hadoop Cassandra, order find their suitability for healthcare applications. considers model...

10.5220/0005706803300337 article EN cc-by-nc-nd Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies 2016-01-01

This paper studies different popular international standards in the field of Electronic Health Record and finds out ease difficulties that arise at time implementation such a country like India. A remote health service provisioning system is being developed based on sensor-cloud environment. presents data model which suitable for countries India similar situations can be implemented sensor cloud The prepared following Indian standard Records. also proposes incremental or phased approach...

10.1109/medcom.2014.7006011 article EN 2014-11-01

This paper identifies electrical load which are brought under DLS technique in order to use effectively for judicious scheduling of loads chopping off peak demand. In general an analysis is made on loads, their type, and suggest how schedule these entire day thereby the The present approaches a problem formulation helps timely decision making those who will be using this analyses different thereafter gives that included application hence reduce demand very short span time. governed by...

10.1109/icit.2010.5472569 article EN 2010-01-01

Electronic Health Records (EHR) and other health standards are in use for quite some time now of the developed countries. Simultaneously, with advancement ICT-based infrastructure providing smart healthcare services, volume data has increased vastly storage management this huge ofdata, which also have properties big data, evolved as a major challenge. The objective paper is to investigate whether presently available EHR related can adequately handle generated through system. Here, we...

10.36647/ijercse/09.06.art004 article EN cc-by-nc-nd International Journal of Engineering Research in Computer Science and Engineering 2022-06-20

The role of Cloud to store and retrieve health data is felt more than ever before in this pandemic. In remote places, emergency situations, there scarcity medical personnel proper infrastructure. Hand held devices like smart phones other having sensing capabilities can be used cloud. This containing audio, video, images, sensor as well text easily stored a A static model does not have the capability cope with changes requirements care application. Ontology comes solution incorporate dynamic...

10.1109/ficloud49777.2021.00045 article EN 2021-08-01
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