[PDF][PDF] The significance of machine learning and deep learning techniques in cybersecurity: A comprehensive review
People in the modern era spend most of their lives in virtual environments that offer a range
of public and private services and social platforms. Therefore, these environments need to …
of public and private services and social platforms. Therefore, these environments need to …
Advancements and Challenges in Networking Technologies: A Comprehensive Survey
This survey paper provides a comprehensive overview of emerging technologies in
networking, focusing on caching in Information-Centric Networking (ICN), context-aware …
networking, focusing on caching in Information-Centric Networking (ICN), context-aware …
Deepfake audio detection via MFCC features using machine learning
Deepfake content is created or altered synthetically using artificial intelligence (AI)
approaches to appear real. It can include synthesizing audio, video, images, and text …
approaches to appear real. It can include synthesizing audio, video, images, and text …
Analyzing The Employee Turnover by Using Decision Tree Algorithm
In knowledge-based organizations, employee turnover is a significant challenge. Frequently,
a company's competitive advantage can be traced back to the tacit knowledge of its …
a company's competitive advantage can be traced back to the tacit knowledge of its …
The Evolution of Administrative Information Systems: Assessing the Revolutionary Impact of Artificial Intelligence
In the rapidly evolving landscape of organizational technologies, the integration of Artificial
Intelligence (AI) into Administrative Information Systems (AIS) stands out as a pivotal and …
Intelligence (AI) into Administrative Information Systems (AIS) stands out as a pivotal and …
Spiking Neural Network for Enhanced Mobile Robots' Navigation Control
Contemporary robotics primarily emphasizes autonomous mobile robots, and Artificial
Neural Networks (ANNs) have demonstrated their proficiency in managing intricate …
Neural Networks (ANNs) have demonstrated their proficiency in managing intricate …
A Machine Learning Approach to Employee Performance Prediction within Administrative Information Systems
This research project delves into the realm of employee performance prediction within
organizational contexts, employing the k-Nearest Neighbors algorithm as the core predictive …
organizational contexts, employing the k-Nearest Neighbors algorithm as the core predictive …
Linguistics for Crimes in the World by AI-Based Cyber Security
MHB Abd Alkareem, FQ Nasif… - … Approaches in Smart …, 2023 - ieeexplore.ieee.org
Effective communication and comprehension of cyber threats in varied linguistic contexts are
crucial for robust defense mechanisms in the ever-changing global cybersecurity scene …
crucial for robust defense mechanisms in the ever-changing global cybersecurity scene …
Deep Learning-Based Anomaly Detection in Network Traffic for Cyber Threat Identification
An essential aspect of cybersecurity is the continuously growing threat landscape, which
necessitates the use of advanced anomaly detection techniques in network data. The …
necessitates the use of advanced anomaly detection techniques in network data. The …
Harnessing the power of Wav2Vec2 and CNNs for Robust Speaker Identification on the VoxCeleb and LibriSpeech Datasets
Speaker identification, a cornerstone of speech processing, involves associating individuals
with spoken segments within a known speaker pool. This paper presents a significant AI …
with spoken segments within a known speaker pool. This paper presents a significant AI …