A data-driven approach for intrusion and anomaly detection using automated machine learning for the Internet of Things

H Xu, Z Sun, Y Cao, H Bilal - Soft Computing, 2023 - Springer
Cyber-attacks and network intrusion have surfaced as major concerns for modern days
applications of the Internet of Things (IoT). The existing intrusion detection and prevention …

Jerk-bounded trajectory planning for rotary flexible joint manipulator: an experimental approach

H Bilal, B Yin, A Kumar, M Ali, J Zhang, J Yao - Soft Computing, 2023 - Springer
The fundamental criteria for industrial manipulator applications are vibration free and
smooth motion with minimum time. This paper investigates the trajectory tracking and …

A hybrid CEEMD-GMM scheme for enhancing the detection of traffic flow on highways

H Dou, Y Liu, S Chen, H Zhao, H Bilal - Soft Computing, 2023 - Springer
Many highways are acquiring smart transportation systems to improve traffic efficiency,
safety and management. Intelligent transportation systems can monitor traffic congestion by …

ML-IDS: an efficient ML-enabled intrusion detection system for securing IoT networks and applications

M Al-Ambusaidi, Z Yinjun, Y Muhammad, A Yahya - Soft Computing, 2024 - Springer
Abstract The Internet of Things (IoT) and machine learning (ML) have various applications in
different sectors of life, such as healthcare, agriculture, industries, transportation, smart …

Smart tourism products and services design based on user experience under the background of big data

H Hu, C Li - Soft Computing, 2023 - Springer
The rapid advancements in big data techniques and artificial intelligence (AI) have led to a
radical transformation of the tourism industry, resulting in the development of smart tourism …

A comparative analysis of optimized gear shifting controls for minimizing fuel consumption and engine emissions using neural networks, fuzzy logic, and rule-based …

FL Silva, JJ Eckert, MHR Miranda, SF da Silva… - … Applications of Artificial …, 2024 - Elsevier
Reducing vehicle emissions and fuel consumption is a crucial sustainable objective for
global authorities, prompted by the adverse impacts of air pollution on the economy …

Analyzing the design of intelligent English translation and teaching model in colleges using data mining

Y Chen - Soft Computing, 2023 - Springer
Due to increasingly global cultural exchanges, people are more conscious about the
importance of mastering a foreign language. Language translation and hel** students in …

Attention-enhanced multimodal feature fusion network for clothes-changing person re-identification

Y Ding, J Li, H Wang, Z Liu, A Wang - Complex & Intelligent Systems, 2025 - Springer
Abstract Clothes-Changing Person Re-Identification is a challenging problem in computer
vision, primarily due to the appearance variations caused by clothing changes across …

Design and application of blockchain and IoT-enabled sports injury rehabilitation monitoring system using neural network

N Li, X Zhu - Soft Computing, 2023 - Springer
Sports injuries have been a common concern during athlete training as the number of
Chinese athletes and their training intensity have increased. These injuries frequently …

An image classification algorithm for football players' activities using deep neural network

X Li, R Ullah - Soft Computing, 2023 - Springer
Football (soccer) stands as the world's most popular sport, enthralling millions of fans
globally. Within the dynamic sphere of modern football, gaining comprehensive insights into …