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Parkinson’s Disease Diagnosis Using Laplacian Score, Gaussian Process Regression and Self-Organizing Maps
(
MDPI
, 2023 , Article)
Parkinson’s disease (PD) is a complex degenerative brain disease that affects nerve cells in the brain responsible for body movement. Machine learning is widely used to track the progression of PD in its early stages by ...
On the Prediction of the Flow Behavior of Metals and Alloys at a Wide Range of Temperatures and Strain Rates Using Johnson-Cook and Modified Johnson-Cook-Based Models: A Review
(
MDPI
, 2023 , Article Review)
This paper reviews the flow behavior and mathematical modeling of various metals and alloys at a wide range of temperatures and strain rates. Furthermore, it discusses the effects of strain rate and temperature on flow ...
IDRISI-RA: The First Arabic Location Mention Recognition Dataset of Disaster Tweets
(
Association for Computational Linguistics (ACL)
, 2023 , Conference Paper)
Extracting geolocation information from social media data enables effective disaster management, as it helps response authorities; for example, in locating incidents for planning rescue activities, and affected people for ...
Advancing Data Center Networks: A Focus on Energy and Cost Efficiency
(
IEEE
, 2023 , Article)
Data centers serve as the backbone for cloud computing, enterprise services, and infrastructure-based offerings. One area of ongoing research in data center networking focuses on innovating new topologies for large-scale ...
Electrodepositvely Introducing Micro Particles of TiO<inf>2</inf> in Ni–B Coatings and Its Effect on Physical Properties and Corrosion Performance of NiB Coatings
(
Springer Link
, 2023 , Article)
Abstract: This study focuses on understanding the effect of TiO2 micro particle introduction on surface morphology, structure, thermal stability, mechanical properties, and corrosion performance of NiB coatings. The surface ...
Real-Time Social Robot’s Responses to Undesired Interactions Between Children and their Surroundings
(
springer link
, 2023 , Article)
Aggression in children is frequent during the early years of childhood. Among children with psychiatric disorders in general, and autism in particular, challenging behaviours and aggression rates are higher. These can take ...
Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
The human liver exhibits variable characteristics and anatomical information, which is often ambiguous in radiological images. Machine learning can be of great assistance in automatically segmenting the liver in radiological ...
Using image processing techniques in computational mechanics
(
Elsevier
, 2023 , Article)
The implementation methods of finite element analysis (FEA) have remained essentially unchanged since the inception of FEA in the 1960s. Alterations of any of the input or design parameters to the FEA model can potentially ...
Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods
(
Elsevier
, 2023 , Article)
Dysgraphia is a type of learning disorder that affects children’s writing skills. Poor writing skills can obstruct students’ academic growth if it is undiagnosed and untreated properly in the early stages. The irregularity ...
Key Success Factors and Their Impact on the Performance of Construction Projects: Case in Qatar
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
The success of a construction project depends on different factors, the knowledge of the project managers, and the type of project being developed. In this paper, based on a review of the literature, 23 factors are identified ...