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An integrated framework for the interaction and 3D visualization of cultural heritage
(
Springer
, 2023 , Article)
In this study, the aim is to design and develop a 3D acquisition, visualization, and interaction framework to preserve cultural heritage and provide new ways to enable museum visitors and cultural audiences to virtually ...
Generative Adversarial Network Approach to Future Sermonizing of Housing Dispersal in Emerging Cities
(
American Society of Civil Engineers (ASCE)
, 2022 , Article)
This study aims to visualize the future housing dispersal of expatriates, based on the predicted urban growth in emerging cities. Generalized adversarial networks (GANs) will be utilized to predict the future urban growth ...
An investigation to study the effects of Tai Chi on human gait dynamics using classical machine learning
(
Elsevier
, 2022 , Article)
Tai Chi has been proven effective in preventing falls in older adults, improving the joint function of knee osteoarthritis patients, and improving the balance of stroke survivors. However, the effect of Tai Chi on human ...
Estimating blood pressure from the photoplethysmogram signal and demographic features using machine learning techniques
(
MDPI AG
, 2020 , Article)
Hypertension is a potentially unsafe health ailment, which can be indicated directly from the blood pressure (BP). Hypertension always leads to other health complications. Continuous monitoring of BP is very important; ...
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 ...
A new approach of clustering based machine-learning algorithm
(
Elsevier B.V.
, 2005 , Article)
Machine-learning research is to study and apply the computer modeling of learning processes in their multiple manifestations, which facilitate the development of intelligent system. In this paper, we have introduced a ...