Blar i NTNU Open på forfatter "Gupta, Nishu"
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Designing of an Enhanced Fuzzy Logic Controller of an Interior Permanent Magnet Synchronous Generator under Variable Wind Speed
Masoud, Uossif Mohamed Matoug; Tiwari, Pratibha; Gupta, Nishu (Journal article; Peer reviewed, 2023)On account of active governmental stimulation operations in many countries, the residential production of electricity from renewable resources has increased considerably. Due to high efficiency and reliability, a recommended ... -
H∞ Control for Oscillator Systems With Event-Triggering Signal Transmission of Internet of Things
Tan, Luy Nguyen; Gupta, Nishu; Derawi, Mohammad (Peer reviewed; Journal article, 2023)This article proposes to design a distributed H∞ optimal control algorithm for Van der Pol oscillators with unknown internal dynamics, input constraints and external disturbances, via event-triggering signal transmission ... -
Indoor Propagation Analysis of IQRF Technology for Smart Building Applications
Bouzidi, Mohammed; Gupta, Nishu; Dalveren, Yaser; Mohamed, Marshed Kassim; Alaya Cheikh, Faouzi; Derawi, Mohammad (Peer reviewed; Journal article, 2022)Owing to its efficiency in the Internet of Things (IoT) applications in terms of low-power connectivity, IQRF (Intelligent Connectivity using Radio Frequency) technology appears to be one of the most reasonable IoT ... -
A Novel Architectural Framework on IoT Ecosystem, Security Aspects and Mechanisms: A Comprehensive Survey
Bouzidi, Mohammed; Gupta, Nishu; Alaya Cheikh, Faouzi; Shalaginov, Andrii; Derawi, Mohammad (Peer reviewed; Journal article, 2022)For the past few years, the Internet of Things (IoT) technology continues to not only gain popularity and importance, but also witnesses the true realization of everything being smart. With the advent of the concept of ... -
Prediction of Student's Performance With Learning Coefficients Using Regression Based Machine Learning Models
Asthana, Pallavi; Mishra, Sumita; Gupta, Nishu; Derawi, Mohammad; Kumar, Anil (Peer reviewed; Journal article, 2023)Advanced machine learning (ML) methods can predict student’s performance with key features based on academic, behavioral, and demographic data. Significant works have predicted the student’s performance based on the primary ... -
A survey on deep reinforcement learning architectures, applications and emerging trends
Balhara, Surjeet; Gupta, Nishu; Alkhayyat, Ahmed; Bharti, Isha; Malik, Rami Q.; Mahmood, Sarmad Nozad; Abedi, Firas (Peer reviewed; Journal article, 2022)From a future perspective and with the current advancements in technology, deep reinforcement learning (DRL) is set to play an important role in several areas like transportation, automation, finance, medical and in many ...