Quality 4.0: a review of big data challenges in manufacturing
Industrial big data and artificial intelligence are propelling a new era of manufacturing, smart
manufacturing. Although these driving technologies have the capacity to advance the state …
manufacturing. Although these driving technologies have the capacity to advance the state …
A comprehensive report on machine learning-based early detection of alzheimer's disease using multi-modal neuroimaging data
Alzheimer's Disease (AD) is a devastating neurodegenerative brain disorder with no cure.
An early identification helps patients with AD sustain a normal living. We have outlined …
An early identification helps patients with AD sustain a normal living. We have outlined …
Study the influence of normalization/transformation process on the accuracy of supervised classification
Recent developments in analytical technologies helped in develo** applications for real-
time problems faced by industries. These applications are often found to consume more time …
time problems faced by industries. These applications are often found to consume more time …
Machine learning for materials scientists: an introductory guide toward best practices
This Methods/Protocols article is intended for materials scientists interested in performing
machine learning-centered research. We cover broad guidelines and best practices …
machine learning-centered research. We cover broad guidelines and best practices …
Prediction of EV charging behavior using machine learning
As a key pillar of smart transportation in smart city applications, electric vehicles (EVs) are
becoming increasingly popular for their contribution in reducing greenhouse gas emissions …
becoming increasingly popular for their contribution in reducing greenhouse gas emissions …
[HTML][HTML] A machine learning, bias-free approach for predicting business success using Crunchbase data
Predicting the success of a business venture has always been a struggle for both
practitioners and researchers. However, thanks to companies that aggregate data about …
practitioners and researchers. However, thanks to companies that aggregate data about …
Sediment subduction in Hadean revealed by machine learning
Due to the scarcity of rock samples, the Hadean Era predating 4 billion years ago (Ga)
poses challenges in understanding geological processes like subaerial weathering and …
poses challenges in understanding geological processes like subaerial weathering and …
Survey of network intrusion detection methods from the perspective of the knowledge discovery in databases process
The identification of network attacks which target information and communication systems
has been a focus of the research community for years. Network intrusion detection is a …
has been a focus of the research community for years. Network intrusion detection is a …
[HTML][HTML] A machine learning model to predict unconfined compressive strength of alkali-activated slag-based cemented paste backfill
The unconfined compressive strength (UCS) of alkali-activated slag (AAS)-based cemented
paste backfill (CPB) is influenced by multiple design parameters. However, the experimental …
paste backfill (CPB) is influenced by multiple design parameters. However, the experimental …
A novel method for multivariant pneumonia classification based on hybrid CNN-PCA based feature extraction using extreme learning machine with CXR images
In this era of COVID19, proper diagnosis and treatment of pneumonia are very important.
Chest X-Ray (CXR) image analysis plays a vital role in the reliable diagnosis of pneumonia …
Chest X-Ray (CXR) image analysis plays a vital role in the reliable diagnosis of pneumonia …