A survey on machine learning in Internet of Things: Algorithms, strategies, and applications
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 …
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
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 …
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
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 …
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
Abstract Securing Internet of Things (IoT) devices is paramount to mitigate unauthorised
access and potential cyber threats, safeguarding the integrity of transmitted and processed …
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 …
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 …
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
Creativity is critical to economic growth and societal progress. However, assessing creativity
using objective approaches remains a challenge. To address this, we employ three …
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
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 …
selection for a human operator performing an underwater visual search task. Human …
Generative adaptable design based on hidden Markov model
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 …
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
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 …
nature. Due to the perishable nature of TOP (Tomato, Onion and Potato) vegetable produce …