Phishing URLs detection using sequential and parallel ML techniques: comparative analysis
In today's digitalized era, the world wide web services are a vital aspect of each individual's
daily life and are accessible to the users via uniform resource locators (URLs) …
daily life and are accessible to the users via uniform resource locators (URLs) …
The Multicarrier NOMA-Assisted Full Duplex IoT Networks for Robust Resource Allocation Using Lightweight Secure Transmission
M Gupta - 2023 3rd International Conference on Smart …, 2023 - ieeexplore.ieee.org
In this piece, we investigate a full duplex (FD) network where nonorthogonal multi-access
(NOMA) is used in both uplink and downlink broadcasts in order to exploit spectrum usage …
(NOMA) is used in both uplink and downlink broadcasts in order to exploit spectrum usage …
DISET: a distance based semi-supervised self-training for automated users' agent activity detection from web access log
Detecting automated users' agent activities at any web application through users' web
access logs is a challenging issue. Many machines learning based automated solutions …
access logs is a challenging issue. Many machines learning based automated solutions …
Enhancing Recommendation Capabilities Using Multi-Head Attention-based Federated Knowledge Distillation
As the internet and mobile computing have advanced, recommendation algorithms are used
to manage large amounts of data. However, traditional recommendation systems usually …
to manage large amounts of data. However, traditional recommendation systems usually …
An Intelligent Group Recommender System using Henry Gas Solubility Optimization Algorithm-based Adaptive Deep Belief Network
Group Recommender Systems (GRS) have recently gained attention for use in various
applications. The GRS model is useful in any scenario that involves a decision-making …
applications. The GRS model is useful in any scenario that involves a decision-making …
Prediction of IMDB Movie Score & Movie Success By Using The Facebook
Movie industry is considered a high risk cultural industry. Prediction of the movie success
before the release of a movie is of critical importance. Prior studies have been conducted to …
before the release of a movie is of critical importance. Prior studies have been conducted to …
Box-office Revenue Prediction by Mining Deep Features from Movie Posters and Reviews Using Transformers
CT Madongo, Z Tang, J Hassan - Proceedings of the 2023 6th …, 2023 - dl.acm.org
Accurately predicting weekend box-office revenue is crucial in the film industry, assisting
studios, investors, and marketing teams in their decision-making. This paper presents a …
studios, investors, and marketing teams in their decision-making. This paper presents a …
Prediction of Movie Categories Using Randomized Sequences with Machine Learning
S Namitha, J Prathibha, AA Kumar… - 2023 4th IEEE …, 2023 - ieeexplore.ieee.org
Prediction of movie categories from random sequences is tricky and challenging in several
sense and has hot wide attention among research community. The study presented here …
sense and has hot wide attention among research community. The study presented here …
Game Recommendation Using Content-based Algorithm Title
ZB Pragusma, V Kwandinata… - 2023 International …, 2023 - ieeexplore.ieee.org
The gaming industry is currently experiencing rapid growth, with an estimated 2.96 billion
games available worldwide. This substantial expansion poses a challenge for gamers in …
games available worldwide. This substantial expansion poses a challenge for gamers in …
Monetize the Dual: A Data Analytic Approach for Native Language and Prequel Movies Popularity Analysis
Analyzing how well a movie may perform at the box office has been a hot topic in the
entertainment sector for many years. Conducting research and analyzing trends is a …
entertainment sector for many years. Conducting research and analyzing trends is a …