A survey on machine learning in Internet of Things: Algorithms, strategies, and applications

S Messaoud, A Bradai, SHR Bukhari, PTA Quang… - Internet of Things, 2020 - Elsevier
In the IoT and WSN era, large number of connected objects and sensing devices are
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …

Taming quantum noise for efficient low temperature simulations of open quantum systems

M Xu, Y Yan, Q Shi, J Ankerhold, JT Stockburger - Physical Review Letters, 2022 - APS
The hierarchical equations of motion (HEOM), derived from the exact Feynman-Vernon path
integral, is one of the most powerful numerical methods to simulate the dynamics of open …

A new proposal on the advanced persistent threat: A survey

S Quintero-Bonilla, A Martín del Rey - Applied Sciences, 2020 - mdpi.com
An advanced persistent threat (APT) can be defined as a targeted and very sophisticated
cyber attack. IT administrators need tools that allow for the early detection of these attacks …

[HTML][HTML] IoTPredictor: A security framework for predicting IoT device behaviours and detecting malicious devices against cyber attacks

R Kalaria, ASM Kayes, W Rahayu, E Pardede… - Computers & …, 2024 - Elsevier
Abstract Securing Internet of Things (IoT) devices is paramount to mitigate unauthorised
access and potential cyber threats, safeguarding the integrity of transmitted and processed …

Comparison of hidden markov model and recurrent neural network in automatic speech recognition

AM Deshmukh - European Journal of Engineering and Technology …, 2020 - ej-eng.org
Understanding human speech precisely by a machine has been a major challenge for many
years. With Automatic Speech Recognition (ASR) being decades old and considering the …

Anthropomorphic gras** of complex-shaped objects using imitation learning

JB Yi, J Kim, T Kang, D Song, J Park, SJ Yi - Applied Sciences, 2022 - mdpi.com
This paper presents an autonomous gras** approach for complex-shaped objects using
an anthropomorphic robotic hand. Although human-like robotic hands have a number of …

Exploring the behavioral and neural correlates of semantic distance in creative writing

L Fan, K Zhuang, X Wang, J Zhang, C Liu… - …, 2023 - Wiley Online Library
Creativity is critical to economic growth and societal progress. However, assessing creativity
using objective approaches remains a challenge. To address this, we employ three …

Optimal fidelity selection for improved performance in human-in-the-loop queues for underwater search

P Gupta, V Srivastava - arxiv preprint arxiv:2311.06381, 2023 - arxiv.org
In the context of human-supervised autonomy, we study the problem of optimal fidelity
selection for a human operator performing an underwater visual search task. Human …

Generative adaptable design based on hidden Markov model

K Wang, J Li, Z Sun - Advanced Engineering Informatics, 2025 - Elsevier
With the advent of next-generation information technologies and artificial intelligence, the
paradigm of product design is shifting towards a more data-driven approach. To facilitate the …

[PDF][PDF] Price Forecasting of TOP (Tomato, Onion and Potato) Commodities using Hidden Markov-based Deep Learning Approach

G Avinash, V Ramasubramanian, M Ray… - Statistics and …, 2024 - ssca.org.in
Accurate prediction of agricultural prices is crucial due to their complex and nonlinear
nature. Due to the perishable nature of TOP (Tomato, Onion and Potato) vegetable produce …