Shilpi Kumari

ORCID: 0009-0003-7184-0963
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About
Contact & Profiles
Research Areas
  • Rough Sets and Fuzzy Logic
  • Advanced Algebra and Logic
  • Privacy-Preserving Technologies in Data
  • Artificial Intelligence in Healthcare and Education
  • Data Mining Algorithms and Applications
  • Interconnection Networks and Systems
  • Organic Electronics and Photovoltaics
  • IoT and Edge/Fog Computing
  • Smart Systems and Machine Learning
  • Robotic Path Planning Algorithms
  • Conducting polymers and applications
  • Gas Sensing Nanomaterials and Sensors
  • Guidance and Control Systems
  • Satellite Communication Systems
  • Distributed Control Multi-Agent Systems
  • Robotics and Sensor-Based Localization
  • COVID-19 Digital Contact Tracing
  • UAV Applications and Optimization
  • Privacy, Security, and Data Protection
  • Spacecraft Design and Technology

Banaras Hindu University
2021-2024

Indian Institute of Technology BHU
2024

The rise of smart edge devices and the growing demand for advanced technologies such as Machine Learning (ML) necessitate an evolution beyond 5G networks. Placing Inference Instances (MLIs) at server can reduce latency but faces memory processing constraints. By combining Mobile Edge Computing (MEC) Non-Volatile Memory (NVM), Service Providers (SP) efficiently deploy MLIs on edge, fog, cloud servers to improve quality by offloading compute-intensive tasks. To serve large geographies,...

10.1145/3631461.3631475 article EN 2024-01-04

10.1007/s00500-021-06068-7 article EN Soft Computing 2021-08-06

Contact tracing has become a widely adopted strategy to curb the spread of COVID-19, enabling identification, evaluation, and management individuals exposed virus. However, many contact approaches focus solely on either or health data, often neglecting integration both, with only some incorporating blockchain technology. This work introduces blockchain-based framework integrated Fog Access Points (FAPs). Additionally, we formulate an infection probability evaluation problem that considers...

10.1145/3631461.3632090 article EN 2024-01-04

The healthcare industry has transitioned from traditional 1.0 to AI-powered 4.0. However, overall cost for patient treatment remains high and challenging manage due the absence of a centralized evaluation mechanism before hospital visits. Therefore, in this paper, we devise cloud-based calculate hospitals’ star rating based on questionnaire with application Z-score K* clustering algorithm. To evaluate disease severity at cloud, splitfed technique is utilized coordination Wireless Body Area...

10.1145/3631461.3631953 article EN 2024-01-04

10.1142/s1793005725500309 article EN New Mathematics and Natural Computation 2024-03-22

Abstract In this article, we propose 3-valued semantics of the logics compatible with Stone and dual algebras. We show that these can be considered as by establishing soundness completeness results. also rough set theory modelled where third value interpreted not certain but possible.

10.21203/rs.3.rs-576563/v1 preprint EN cc-by Research Square (Research Square) 2021-06-04
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