cyberbullying detection on social media texts

 Cyberbullying is when someone is bullied using technology as an intermediary. Despite the fact that it has been a problem for many years, the impact on young people has just recently become more widely recognized. Bullies thrive on social media platforms, and teens and children who use them are vulnerable to attacks. A copious amount of usergener...

Automatic detection of cyberbullying in social media Cyberbullying Detection on Social Networks Accurate Cyberbullying Detection and Prevention Guidelines for Detecting Cyberbullying in Social Media Cyberbullying Detection and Classification

Tumor Detection using classification – Machine Learning and Python

 Brain tumor detection is a critical application in the field of medical imaging, aimed at aiding healthcare professionals in the early and accurate diagnosis of brain tumors. This project leverages machine learning and deep learning techniques in Python to developa robust and reliable brain tumor detection system. The system undergoes sensitivi...

Tumor detection brain tumor detection magnetic resonance imaging (MRI) Support Vector Machines central nervous system

ANOMALY DETECTION IN SELF-ORGANIZING NETWORKS CONVENTIONAL VERSUS.CONTEMPORARY MACHINE LEARNING

 This paper presents a comparison of conventional and modern machine (deep) learning within the framework of anomaly detection in self-organizing networks. While deep learning has gained significant traction, especially in application scenarios where large volumes of data can be collected and processed, conventional methods may yet offer strong stat...

MACHINE LEARNING SELF-ORGANIZING

Crime mapping analysis introduction and detection system

 Data mining plays the key role in crime analysis. There are various number of different algorithm in previous research papers like virtual identifier, pruning strategy, support vector machines and apriori algorithms. “VID” (Virtual ID) is to find relationship between record. Then the “Apriori algorithm is used to around six hundred seconds to detec...

A Multi-Cluster-based Distributed CDD Scheme for Asynchronous Joint Transmissions in Local and Private Wireless Networks

 In this paper, a multiple cluster-based transmission diversity scheme is proposed for asynchronous joint transmissions (JT) in private networks. The use of multiple clusters or small cells is adopted to reduce the transmission distance to users thereby increasing data-rates and reducing latency. To further increase the spectral efficiency and achie...

Cloud Intrusion Detection Method Based on Stacked Contractive Auto-Encoder and Support Vector Machine

 Security issues have resulted in severe damage to the cloud computing environment, adversely affecting the healthy and sustainable development of cloud computing. Intrusion detection is one of the technologies for protecting the cloud computing environment from malicious attacks. However, network traffic in the cloud computing environment is charac...