[PDF][PDF] Optimized machine learning algorithm for intrusion detection
Intrusion detection is mainly achieved by using optimization algorithms. The need for
optimization algorithms for intrusion detection is necessitated by the increasing number of …
optimization algorithms for intrusion detection is necessitated by the increasing number of …
[PDF][PDF] Optimization of network traffic anomaly detection using machine learning.
C Do Xuan, H Thanh, NT Lam - International Journal of Electrical & …, 2021 - academia.edu
In this paper, to optimize the process of detecting cyber-attacks, we choose to propose 2
main optimization solutions: Optimizing the detection method and optimizing features. Both …
main optimization solutions: Optimizing the detection method and optimizing features. Both …
Machine Learning Models are Used to Analyze the Effectiveness of Daily Residential Area Energy Consumption
K Aggarwal, DMK Selvi… - … Smart Homes and …, 2025 - Wiley Online Library
The future of the smart grid (SG) will be heavily reliant on home energy management
systems (HEMS). Customers' capacity to manage their energy use, lower peak demand, and …
systems (HEMS). Customers' capacity to manage their energy use, lower peak demand, and …
Enhancing Weather Monitoring: A Comprehensive Study Utilizing IoT, ESP32, Sensor Integration, and Blynk Platform
Internet of Things (IoT) technology has facilitated the emergence of Internet-connected smart
weather stations, causing a significant shift in weather observation practices. Agriculture …
weather stations, causing a significant shift in weather observation practices. Agriculture …
Door lock system based on internet of things and Bluetooth by using Raspberry Pi
Recently, there are a large number of smart lock systems that can be used in the workplace
or home, but many of them depend on finding an external key, password, fingerprint, and …
or home, but many of them depend on finding an external key, password, fingerprint, and …