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Humans possess an extraordinary ability to create and utilize tools. With the advent of foundation models, artificial intelligence systems have the potential to be equally adept in tool use as humans. This paradigm, which is dubbed as tool learning with ...

The development of intrusion detection technology has contributed greatly to industrial Internet of Things (IIoT) security. However, intrusion detection system (IDS) for IIOT anomaly detection suffer from limited computational costs. In addition, ...

Given the weak convergence, limited balance capacity, and optimization limitations observed in the Marine Predators Algorithm (MPA), which draws inspiration from the predatory behavior of marine organisms during evolutionary processes, this study ...

Android malware family analysis is essential for building an efficient malware detection mechanism. In recent years, many graph representation learning-based malware detection and classification studies have been proposed, and many methods model ...

The proliferation of Internet of Things (IoT) technology has resulted in an increase in security vulnerabilities associated with the interconnectivity of IoT devices. As a result, there is a need for intrusion detection mechanisms that can ...

In wireless sensor networks, reasonable clustering and routing are keys to efficient energy utilization. However, the selection of cluster heads and routes is NP-hard. Most of the existing routing protocols use heuristic or metaheuristic ...

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• Control the updating of meta-heuristic algorithms using reinforcement learning.
• The Integrated Cluster-Routing Solution is used to logically pair cluster and route.
• A pruning-based cluster pruning rule is used to balance the load ...

The combination of deep learning and intrusion detection has become a hot topic in today’s network security. In the face of massive, high-dimensional network traffic with uneven sample distribution, how to be able to accurately detect anomalous traffic is ...

Pneumatic soft robots show great potential application value in the field of hand rehabilitation. This paper presents a novel pneumatic soft robotic glove for hand rehabilitation with a portable pneumatic box. The glove uses positive-negative pneumatic ...

Based on the assumption that the long-term value of a venture capital satisfies the algebraic Brownian motion, we develop a continuous-time exit model of venture capital under different exit modes, namely, initial public offering (IPO) and mergers and ...

Differential evolution (DE) is a simple yet efficient stochastic search approach for numerical optimization. However, it tends to suffer from slow convergence when tackling complicated problems. In addition, its search ability is significantly ...

The Proportional Slowdown Differentiation (PSD) is an important Quality of Service (QoS) model for services in the Cloud. It aims to maintain consistent pre-specified slowdown ratios between the requests of different service classes. In this paper, a ...

In this paper, a novel evolutionary strategy-based particle swarm optimisation (PSO) approach is presented. The evolutionary strategy is dependent on a BP neural proportional integral derivative (PID) controller, which is intentionally placed between ...

This paper undertakes a new approach transferring and representing the requested information by the design and implementation of haptic shoes. Different from the traditional method of visualisation, stock market data are conveyed to the users via the ...