Phishing website detection with semantic features based on machine learning classifiers: a comparative study
A Almomani, M Alauthman, MT Shatnawi… - … Journal on Semantic …, 2022 - igi-global.com
The phishing attack is one of the main cybersecurity threats in web phishing and spear
phishing. Phishing websites continue to be a problem. One of the main contributions to our …
phishing. Phishing websites continue to be a problem. One of the main contributions to our …
Comparison of ppo and sac algorithms towards decision making strategies for collision avoidance among multiple autonomous vehicles
AJM Muzahid, SF Kamarulzaman… - … & Computer Systems …, 2021 - ieeexplore.ieee.org
Multiple vehicle collision avoidance strategies with safe lane changing strategy for vehicle
control using learning base technique are the most crucial concern in autonomous driving …
control using learning base technique are the most crucial concern in autonomous driving …
Edge assisted crime prediction and evaluation framework for machine learning algorithms
The growing global populations, particularly in major cities, have created new problems,
notably in terms of public safety regulation and optimization. As a result, in this paper, a …
notably in terms of public safety regulation and optimization. As a result, in this paper, a …
A deep Spatio-temporal network for vision-based sexual harassment detection
Smart surveillance systems can play a significant role in detecting sexual harassment in real-
time for law enforcement which can reduce the sexual harassment activities. Real-time …
time for law enforcement which can reduce the sexual harassment activities. Real-time …
Impact learning: A learning method from feature's impact and competition
Abstract Machine learning is the study of computer algorithms that can automatically
improve based on data and experience. Machine learning algorithms build a model from …
improve based on data and experience. Machine learning algorithms build a model from …
Therapeutic peptides identification via kernel risk sensitive loss-based k-nearest neighbor model and multi-Laplacian regularization
Therapeutic peptides are therapeutic agents synthesized from natural amino acids, which
can be used as carriers for precisely transporting drugs and can activate the immune system …
can be used as carriers for precisely transporting drugs and can activate the immune system …
[PDF][PDF] AI powered asthma prediction towards treatment formulation: An android app approach
Asthma is a disease which attacks the lungs and that affects people of all ages. Asthma
prediction is crucial since many individuals already have asthma and increasing asthma …
prediction is crucial since many individuals already have asthma and increasing asthma …
[PDF][PDF] Predicting the appropriate mode of childbirth using machine learning algorithm
A woman's satisfaction with childbirth may have immediate and long-term effects on her
health as well as on the relationship with her newborn child. The mode of baby delivery is …
health as well as on the relationship with her newborn child. The mode of baby delivery is …
Optimal safety planning and driving decision-making for multiple autonomous vehicles: A learning based approach
In the early diffusion stage of autonomous vehicle systems, the controlling of vehicles
through exacting decision-making to reduce the number of collisions is a major problem …
through exacting decision-making to reduce the number of collisions is a major problem …
Computer-aided system for extending the performance of diabetes analysis and prediction
Every year, diabetes causes health difficulties for hundreds of millions of individuals
throughout the world. Patients' medical records may be utilized to quantify symptoms …
throughout the world. Patients' medical records may be utilized to quantify symptoms …