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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 …
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 …
Building a Smart System for Preservation of Government Records in Digital Form
AI Shaban, MA Farhan… - … International Congress on …, 2022 - ieeexplore.ieee.org
In this research paper, we concentrated on the development of a smart system for the
preservation of Government of Iraq records in digital format. In literature, many existing …
preservation of Government of Iraq records in digital format. In literature, many existing …
Survey On Recognition Hand Gesture By Using Data Mining Algorithms
We investigated the usage of hand motion recognition using data mining approaches. In
gesture detection applications, I've discovered that employing data mining to recognize …
gesture detection applications, I've discovered that employing data mining to recognize …
Optimizing network security with machine learning and multi-factor authentication for enhanced intrusion detection
RK Mahmood, AI Mahameed, NQ Lateef… - Journal of Robotics …, 2024 - journal.umy.ac.id
Deep Learning for Customer Relationship Management in E-commerce
Customer Relationship Management (CRM) plays a pivotal role in the success of e-
commerce businesses by fostering stronger connections with customers. De-spite its …
commerce businesses by fostering stronger connections with customers. De-spite its …
Enhanced Network Traffic Classification with Machine Learning Algorithms
Network traffic classification plays a critical role in maintaining the security and efficiency of
modern computer networks. Existing techniques often have problems effectively identifying …
modern computer networks. Existing techniques often have problems effectively identifying …
A Novel Approach to Malware Detection using Machine Learning and Image Processing
Studies have emphasized the limitations of existing methods in effectively detecting
advanced strains of malware. To address this gap, this research presents a novel approach …
advanced strains of malware. To address this gap, this research presents a novel approach …
Adaptive Intrusion Detection System Using Deep Learning for Network Security
Cybersecurity threats are significant risks to the networks of today; hence, information
security solutions like intrusion detection systems (IDS) are urgent to guard against …
security solutions like intrusion detection systems (IDS) are urgent to guard against …