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Influence of Reaction Time in the Emotional Response of a Companion Robot to a Child’s Aggressive Interaction
(
springer link
, 2020 , Article)
The quality of a companion robot’s reaction is important to make it acceptable to the users and to sustain interactions. Furthermore, the robot’s reaction can be used to train socially acceptable behaviors and to develop ...
IoT malicious traffic identification using wrapper-based feature selection mechanisms
(
Elsevier Ltd
, 2020 , Article)
Machine Learning (ML) plays very significant role in the Internet of Things (IoT) cybersecurity for malicious and intrusion traffic identification. In other words, ML algorithms are widely applied for IoT traffic identification ...
Performance analysis of conventional machine learning algorithms for diabetic sensorimotor polyneuropathy severity classification
(
MDPI
, 2021 , Article)
Background: Diabetic peripheral neuropathy (DSPN), a major form of diabetic neuropathy, is a complication that arises in long-term diabetic patients. Even though the application of machine learning (ML) in disease diagnosis ...
Towards stacking fault energy engineering in FCC high entropy alloys
(
Elsevier
, 2022 , Article)
Stacking Fault Energy (SFE) is an intrinsic alloy property that governs much of the plastic deformation mechanisms observed in fcc alloys. While SFE has been recognized for many years as a key intrinsic mechanical property, ...
Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques
(
MDPI
, 2022 , Article)
Diabetes mellitus (DM) can lead to plantar ulcers, amputation and death. Plantar foot thermogram images acquired using an infrared camera have been shown to detect changes in temperature distribution associated with a ...
Modeling of permeability impairment dynamics in porous media: A machine learning approach
(
Elsevier
, 2023 , Article)
The prediction of clogging and permeability impairment dynamics in porous media is crucial for the optimization of various industrial and natural processes. This paper presents a novel machine learning-based approach for ...
Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements
(
Springer Nature
, 2022 , Article)
Sex prediction from bone measurements that display sexual dimorphism is one of the most important aspects of forensic anthropology. Some bones like the skull and pelvis display distinct morphological traits that are based ...
Machine Learning Application for Optimizing Asymmetrical Reduction of Acetophenone Employing Complete Cell of Lactobacillus Senmaizuke as an Environmentally Friendly Approach
(
Hysen MANKOLLI, Earth System Science Interdisciplinary Center (ESSIC)
, 2020 , Article)
Recently, optimization of the bioreduction reactions by optimization methodologies has gained special interest as these reactions are affected by several extrinsic factors that should be optimized for higher yields. An ...
Single and multiphase flow leak detection in onshore/offshore pipelines and subsurface sequestration sites: An overview
(
Elsevier
, 2024 , Article)
Leaks may occur in existing pipelines, even when designed with quality construction and appropriate regulations. The economic impact of oil spills and natural gas dispersion from leaks can be huge. Failure to detect pipeline ...
Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach
(
Springer
, 2020 , Article)
© 2020, Springer-Verlag London Ltd., part of Springer Nature. Bitcoin is a decentralized cryptocurrency, which is a type of digital asset that provides the basis for peer-to-peer financial transactions based on blockchain ...