Advances in computational intelligence of polymer composite materials: machine learning assisted modeling, analysis and design
The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
A comprehensive survey for intelligent spam email detection
The tremendously growing problem of phishing e-mail, also known as spam including spear
phishing or spam borne malware, has demanded a need for reliable intelligent anti-spam e …
phishing or spam borne malware, has demanded a need for reliable intelligent anti-spam e …
Cloud-based email phishing attack using machine and deep learning algorithm
Cloud computing refers to the on-demand availability of personal computer system assets,
specifically data storage and processing power, without the client's input. Emails are …
specifically data storage and processing power, without the client's input. Emails are …
Detecting spam email with machine learning optimized with bio-inspired metaheuristic algorithms
Electronic mail has eased communication methods for many organisations as well as
individuals. This method is exploited for fraudulent gain by spammers through sending …
individuals. This method is exploited for fraudulent gain by spammers through sending …
Evaluating machine learningworkloads on memory-centric computing systems
Training machine learning (ML) algorithms is a computationally intensive process, which is
frequently memory-bound due to repeatedly accessing large training datasets. As a result …
frequently memory-bound due to repeatedly accessing large training datasets. As a result …
Efficient e-mail spam filtering approach combining Logistic Regression model and Orthogonal Atomic Orbital Search algorithm
Phishing emails called spam have created a need for reliable and intelligent spam filters.
Machine-learning techniques are effective, but current methods such as Logistic Regression …
Machine-learning techniques are effective, but current methods such as Logistic Regression …
Email Spam: A Comprehensive Review of Optimize Detection Methods, Challenges, and Open Research Problems
Nowadays, emails are used across almost every field, spanning from business to education.
Broadly, emails can be categorized as either ham or spam. Email spam, also known as junk …
Broadly, emails can be categorized as either ham or spam. Email spam, also known as junk …
Semi-supervised clue fusion for spammer detection in Sina Weibo
H Chen, J Liu, Y Lv, MH Li, M Liu, Q Zheng - Information Fusion, 2018 - Elsevier
Microblog is a popular social network platform that facilitates users to collect and spread
information on the Internet, but on the other side it stimulates new forms of spammers, who …
information on the Internet, but on the other side it stimulates new forms of spammers, who …
An Experimental Evaluation of Machine Learning Training on a Real Processing-in-Memory System
Training machine learning (ML) algorithms is a computationally intensive process, which is
frequently memory-bound due to repeatedly accessing large training datasets. As a result …
frequently memory-bound due to repeatedly accessing large training datasets. As a result …
Large-scale quantification of groundwater recharge threshold conditions using machine learning classifications: An attempt over the Australian continent
The large-scale quantification of groundwater recharge threshold conditions is a bottleneck
in the field of research, considering that groundwater recharge processes can be quite …
in the field of research, considering that groundwater recharge processes can be quite …