[HTML][HTML] Deep neural networks in the cloud: Review, applications, challenges and research directions
Deep neural networks (DNNs) are currently being deployed as machine learning technology
in a wide range of important real-world applications. DNNs consist of a huge number of …
in a wide range of important real-world applications. DNNs consist of a huge number of …
Strategic Feature Selection for Enhanced Scorch Prediction in Flexible Polyurethane Form Manufacturing
The occurrence of scorch during the production of flexible polyurethane is a significant issue
that negatively impacts foam products' resilience and generally jeopardizes their integrity …
that negatively impacts foam products' resilience and generally jeopardizes their integrity …
Sentiment analysis on telemedicine app reviews using xgboost classifier
In recent years, companies have widely used sentiment analysis with machine learning
classification algorithms to help business decision-making. Sentiment analysis helps …
classification algorithms to help business decision-making. Sentiment analysis helps …
An evolutionary fake news detection method for covid-19 pandemic information
As the COVID-19 pandemic rapidly spreads across the world, regrettably, misinformation
and fake news related to COVID-19 have also spread remarkably. Such misinformation has …
and fake news related to COVID-19 have also spread remarkably. Such misinformation has …
Effects of Data Resampling on Predicting Customer Churn via a Comparative Tree-based Random Forest and XGBoost
Customer attrition has become the focus of many businesses today–since the online market
space has continued to proffer customers, various choices and alternatives to goods …
space has continued to proffer customers, various choices and alternatives to goods …
[PDF][PDF] Sentiment analysis in detecting sophistication and degradation cues in malicious web contents
Mobility, ease of accessibility, and portability have continued to grant ease in the adoption
rise of smartphones; while, also proliferating the vulnerability of users that are often …
rise of smartphones; while, also proliferating the vulnerability of users that are often …
[PDF][PDF] Pilot Study on Consumer Preference, Intentions and Trust on Purchasing-Pattern for Online Virtual Shops
User behaviour about an item is a choice predicated on their perception of the item in order
to satisfy the intent of such a purchase pattern/choice as made. With virtual stores to improve …
to satisfy the intent of such a purchase pattern/choice as made. With virtual stores to improve …
Offensive language detection in Arabic social networks using evolutionary-based classifiers learned from fine-tuned embeddings
Social networks facilitate communication between people from all over the world.
Unfortunately, the excessive use of social networks leads to the rise of antisocial behaviors …
Unfortunately, the excessive use of social networks leads to the rise of antisocial behaviors …
Comparative Data Resample to Predict Subscription Services Attrition Using Tree-based Ensembles
The digital market today, is rippled with a variety of goods/services that promote
monetization and asset exchange with clients constantly seeking improved alternatives at …
monetization and asset exchange with clients constantly seeking improved alternatives at …
Pilot study on enhanced detection of cues over malicious sites using data balancing on the random forest ensemble
The digital revolution frontiers have rippled across society today–with various web content
shared online for users as they seek to promote monetization and asset exchange, with …
shared online for users as they seek to promote monetization and asset exchange, with …