Advances in welding sensing information processing and modelling technology: an overview

A Mehta, H Vasudev - Journal of Adhesion Science and …, 2024 - Taylor & Francis
The above article is about research for implementing a visual monitor that evaluates the
weld penetration during pulsed tungsten arc gas (GTAW) welding which used active shape …

[HTML][HTML] Deep Learning-driven Methods for Network-based Intrusion Detection Systems: A Systematic Review

R Chinnasamy, M Subramanian, SV Easwaramoorthy… - ICT Express, 2025 - Elsevier
This paper presents a systematic review of deep learning (DL) techniques for Network-
based Intrusion Detection Systems (NIDS) based on Preferred Reporting Items for …

MSRNet-GLAM: A novel intrusion detection method for train communication network

Q Chen, D He, Z Jin, Z Ren, T Liu, S Shan - Simulation Modelling Practice …, 2025 - Elsevier
Intrusion detection techniques play an important role in the security measures of train
communication network (TCN). Due to the increasing openness of TCN, its security risk is …

Enhancing temperature prediction in the UAE: a process-driven framework for adaptive learning with GRU-CNN hybrid models

SH Haghrahmani - Modeling Earth Systems and Environment, 2025 - Springer
The temperature in the United Arab Emirates (UAE) plays a critical role in shaping the
country's climate, lifestyle, and environmental challenges. Temperature changes in the UAE …

[PDF][PDF] Hybrid Intelligent Anomaly Detection System Using Attention based Deep Learning Approach for Cyber Attacks Prevention

N Girubagari, TN Ravi… - Indian Journal …, 2024 - sciresol.s3.us-east-2.amazonaws …
Abstract Objectives: Network Intrusion Detection System (NIDS) plays an important role in
finding and preventing cyber-attacks, which helps to improve the entire security posture of …

Fusing Deep Learning Techniques for Intrusion Detection in Smart Grids.

R Rahul, P Sindhu, GN Sundar… - Fusion: Practice & …, 2024 - search.ebscohost.com
Smart grids, pivotal in modern energy distribution, confront a mounting cybersecurity threat
landscape due to their increased connectivity. This study introduces a novel hybrid deep …

An innovative model for an enhanced dual intrusion detection system using LZ‐JC‐DBSCAN, EPRC‐RPOA and EG‐GELU‐GRU

JS RC, PK - IET Communications, 2024 - Wiley Online Library
The rise of suspicious activities in network communication, driven by increased internet
accessibility, necessitates the development of advanced intrusion detection systems (IDS) …

Low and High Level Features Fusion for Image Classification

T Srinivas, N Kayarvizhy - 2024 3rd International Conference …, 2024 - ieeexplore.ieee.org
In this study, we conduct a comparative analysis to understand the impact of feature
extraction on the accuracy of predictive models for image classification. The first model …

Intrusion Detection System Using Adaptive Learning Factor Based Sandpiper Optimization Algorithm and Bi-Directional Gated Recurrent Unit.

SK Honnappa, BK Medhal… - … Journal of Intelligent …, 2024 - search.ebscohost.com
Abstract Attacks on Internet of Things (IoT) networks are currently the most pressing issues
challenging the modern society. An Intrusion Detection System (IDS) must be present to …

[PDF][PDF] A Review of Deep Learning Applications in Intrusion Detection Systems: Overcoming Challenges in Spatiotemporal Feature Extraction and Data Imbalance

Y Zhang, RC Muniyandi, F Qamar - 2024 - preprints.org
In the rapid development of the Internet of Things (IoT) and large-scale distributed networks,
Intrusion Detection Systems (IDS) face significant challenges in handling complex …