A robust energy optimization and data reduction scheme for iot based indoor environments using local processing framework

S Bebortta, AK Singh, B Pati, D Senapati - Journal of Network and Systems …, 2021 - Springer
The extensive growth in popularity of Internet of Things (IoT) has led to the generation of
massive amount of data from several heterogeneous sensory devices. This has also led to …

Evidence of power-law behavior in cognitive IoT applications

S Bebortta, D Senapati, NK Rajput, AK Singh… - Neural Computing and …, 2020 - Springer
The motivations induced due to the presence of scale-free characteristics of neural systems
governed by the well-known power-law distribution of neuronal activities have led to its …

Performance Evaluation of Wireless Communication Systems over Weibull/q-Lognormal Shadowed Fading Using Tsallis' Entropy Framework

T Mukherjee, AK Singh, D Senapati - Wireless Personal Communications, 2019 - Springer
In wireless communication channels, the signals arriving at the receiver may be of stochastic
nature or be superpositioned due to non-uniform scattering and shadowing. For the ease of …

Characterization of range for smart home sensors using Tsallis' entropy framework

S Bebortta, AK Singh, S Mohanty… - Advanced Computing and …, 2020 - Springer
The deployment of sensor nodes (SNs) in smart homes induces multipath transmission of
signals in indoor environments (IEs). These paths occur due to the presence of household …

An Edge Computing-Oriented Islanding Detection Using Differential Entropy and Multi-Support Vector Machines

L Chen, X Dong, B Wang, L Shang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper presents an edge computing-oriented islanding detection paradigm using multi-
support vector machines (SVM) and differential entropy. The proposed methodology can …

Computational modeling of non-gaussian option price using non-extensive Tsallis' entropy framework

G Nayak, AK Singh, D Senapati - Computational Economics, 2021 - Springer
Financial markets have always been subject to various risk constraints which are necessary
for better market prediction and accurate pricing. In this context, we derive stock price …

A comfort evaluation method based on an intelligent car cockpit

JJ Yang, YM Chen, SS Xing… - Human Factors and …, 2023 - Wiley Online Library
With the rapid development of automobiles, car cockpits are becoming more and more
intelligent and advanced, and the intelligent requirements of automobile cockpits are …

A precise bare simulation approach to the minimization of some distances. I. Foundations

M Broniatowski, W Stummer - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In information theory—as well as in the adjacent fields of statistics, machine learning,
artificial intelligence, signal processing and pattern recognition—many flexibilizations of the …

[HTML][HTML] Stochastic Reorder Point-Lot Size (r,Q) Inventory Model under Maximum Entropy Principle

D Castellano - Entropy, 2015 - mdpi.com
This paper takes into account the continuous-review reorder point-lot size (r, Q) inventory
model under stochastic demand, with the backorders-lost sales mixture. Moreover, to reflect …

Time-dependent entropic analysis of software bugs

KK Raghuvanshi, A Agarwal, AK Singh… - International Journal of …, 2023 - Springer
Software bug analysis and prediction is an important issues for making software successful
in this competitive environment. This paper deals with a time-dependent measure of the …