Nigerian CommunicationWeek on MSN

Nigerians lose N12.5bn to AI-driven scams: PwC

PricewaterhouseCoopers (PwC), global professional services network, has reported that Nigerians lost about N12.5 billion from 2019 to 2023, through escalating digital fraud schemes.AI-driven scams ...
Business Day

Nigerians lost N12.5bn to telecom scams as AI threat grows

Nigerians lost about N12.5 billion to telecom-related scams between 2019 and January 2023, highlighting growing risks in the ...
The Guardian Nigeria

Nigerians lose N12.5 billion to digital fraud in four years

Despite investments, enlightenment, and various regulations aimed at slowing down telecom-related frauds, data showed that ...
techtimes

AI Healthcare Technology: The Power of Machine Learning Diagnosis in Modern Medicine

Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today’s evolving medical landscape. Pixabay, ...
GitHub

SMS Spam Detection: Comparing Deep Learning Approaches

5,572 SMS messages. 747 spam. Can a custom neural network compete with BERT? This project compares three deep learning approaches to SMS spam detection: a custom LSTM architecture built from scratch, ...
IEEE

SMS spam detection and comparison of various machine learning algorithms

Abstract: Past few years have seen increase in the number of spam emails and messages. Legal, economic and technical measures can be used to tackle spam sms's nowadays. A key role is being played by ...
IEEE

A Machine Learning Approach to Mobile SMS Spam Detection Using Naïve Bayes, Decision Tree, Random Forest, Support Vector Machine, and Logistic Regression Techniques

Abstract: The number of people using mobile devices is increasing steadily. Both smartphones and low-end phones may use the text messaging service known as SMS (short message service). As a result, ...
The Conversation

Can scientists detect life without knowing what it looks like? Research using machine learning offers a new way

Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.
GitHub

Machine Learning spam classifier achieving 98% accuracy using SVM, NLP, and TF-IDF vectorization

An intelligent spam detection system that classifies SMS/email messages with 98.48% accuracy using machine learning. This project compares multiple algorithms and provides comprehensive performance ...