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BERT-and CNN-based TOBEAT approach for unwelcome tweets detection
Social media platforms have become an inevitable part of our lives today. Twitter is one such
major online social networking platform. Recently, it pointed to exponential growth with …
major online social networking platform. Recently, it pointed to exponential growth with …
Spam Detection in Short Message Service (SMS) Using Naïve Bayes, SVM, LSTM, and CNN
E Wijaya, G Noveliora, KD Utami… - 2023 10th …, 2023 - ieeexplore.ieee.org
Short Message Services (SMS) has been most people's habits. The numbers of SMS usage
have been growing rapidly since text messages are more effective than emails. However …
have been growing rapidly since text messages are more effective than emails. However …
Classification of spam detection using random forest algorithm over naive bayes algorithm based on accuracy
KS Reddy, A Gayathri - AIP Conference Proceedings, 2023 - pubs.aip.org
To predict the accuracy percentage of Short Message Services (SMS) spam detection using
machine learning classifiers. Two ensemble learning algorithms named random forest …
machine learning classifiers. Two ensemble learning algorithms named random forest …
Energy‐efficient model using optimal route discovery based on adaptive spider monkey optimization model
J Justus John, A Muthukrishnan… - International Journal of …, 2022 - Wiley Online Library
During the past few years, wireless sensor networks (WSNs) have created a substantial
interest because of their capabilities namely, self‐healing and self‐organizing under …
interest because of their capabilities namely, self‐healing and self‐organizing under …
Spam Detection Using Naïve Bayes and Trigger-Based Filter
Spam messages are irrelevant messages sent by unwanted organizations or individuals.
Short message service (SMS) spam is a major problem in mobile phones. This paper works …
Short message service (SMS) spam is a major problem in mobile phones. This paper works …
Predicting Toddler Stunting at Bandarharjo Health Center: Applications of K-Nearest Neighbors and Naïve Bayes Algorithms
A Prameswara, PH Gunawan - 2024 8th International …, 2024 - ieeexplore.ieee.org
According to the 2021 Indonesian Nutrition Status Study (SSGI), the incidence of toddler
stunting in the nation is 24.4%, which is a significant public health problem. Stunting is …
stunting in the nation is 24.4%, which is a significant public health problem. Stunting is …
Comparison of SVM over decision tree algorithm for images of cancer diagnostic and prognostic prediction
The main aim of the research is to implement the data analysis for calculating the accuracy
of cancer by extracting patient details based on cancer patient dataset using Novel Support …
of cancer by extracting patient details based on cancer patient dataset using Novel Support …
Higher classification accuracy of income class using logistic regression algorithm over naive bayes algorithm
M Zaid, T Rajendran - AIP Conference Proceedings, 2023 - pubs.aip.org
The aim of the study is to perform higher classification of Income Class Classification by
implementing innovative income classification for individuals above and below 50k income …
implementing innovative income classification for individuals above and below 50k income …
Genetic ANN algorithm for skin cancer classification compared with MLP technic based on diagnosis accuracy
M Sunil Johnson, A Gayathri - AIP Conference Proceedings, 2023 - pubs.aip.org
The objective of the study is to detect the Skin Cancer positive patient with the help of Chest
Diagnostic image dataset by using machine learning based on Genetic Artificial Neural …
Diagnostic image dataset by using machine learning based on Genetic Artificial Neural …
[CITATION][C] Spam Filtering and Authorship Identification on Twitter: Deep Learning-based Approaches
S Ouni