[HTML][HTML] Improved static and impact properties of UHPFRC retrofitted with PU grout materials: Experiments and ML algorithms
A Al-shawafi, H Zhu, SA Laqsum, SI Haruna… - Results in …, 2024 - Elsevier
This study addresses the inherent brittleness of ultra-high-performance fiber re-inforced
concrete (UHPFRC) by introducing a U-shaped specimen and investigating the impact …
concrete (UHPFRC) by introducing a U-shaped specimen and investigating the impact …
[PDF][PDF] A Novel Data Preprocessing Model for Lightweight Sensory IoT Intrusion Detection
SA Khanday, H Fatima, N Rakesh - Int. J. Math. Eng. Manag. Sci, 2024 - researchgate.net
IoT devices or sensor nodes are essential components of the machine learning (ML)
application workflow because they gather abundant information for building models with …
application workflow because they gather abundant information for building models with …
Dual Modality Reverse Re-Ranking (DM-RR) based image retrieval framework
Retrieval of a product with desired modifications from a vast inventory of online industrial
platforms is frequently encountered in our daily life. This study presents a specialized …
platforms is frequently encountered in our daily life. This study presents a specialized …
Analysis of Encrypted Network Traffic for Enhancing Cyber-security in Dynamic Environments
F Alserhani - Applied Artificial Intelligence, 2024 - Taylor & Francis
At present, encrypted data is the cornerstone of Internet communication, providing the
maximum degree of privacy and security protection for all transmitted data while shielding …
maximum degree of privacy and security protection for all transmitted data while shielding …
MGAD: Mutual Information and Graph Embedding Based Anomaly Detection in Multivariate Time Series
Y Huang, W Liu, S Li, Y Guo, W Chen - Electronics, 2024 - mdpi.com
Along with the popularity of mobile Internet and smart applications, more and more high-
dimensional sensor data have appeared, and these high-dimensional sensor data have …
dimensional sensor data have appeared, and these high-dimensional sensor data have …
Performance Analysis of Deep Neural Decision Forest with Extratrees Feature Selection for Obfuscated Malware Detection
P Sukarno, AA Wardana - 2024 IEEE 3rd International …, 2024 - ieeexplore.ieee.org
This study investigates the application of the Deep Neural Decision Forest (DNDF)
technique for identifying obfuscated malware, focusing on enhancing the deep neural …
technique for identifying obfuscated malware, focusing on enhancing the deep neural …