Results 51 to 60 of about 17,726 (166)

A Mobile Edge-Based CrowdSensing Framework for Heterogeneous IoT

IEEE Access, 2020
In this article, we consider the problem of distributed offloading in mobile crowdsensing (MCS) by the means of mobile edge computing(MEC). Deploying MEC in MCS can help address many challenges the centralized MCS solutions are facing such as delays in ...
Hanane Lamaazi, Rabeb Mizouni, Shakti Singh, Hadi Otrok   +3 more
doaj   +1 more source

Enhanced Android Malware Detect Models Based on Explainable Generative Adversarial Networks

IEEE Access
With the widespread adoption of smartphones over the past decade, mobile applications have become a primary target for malicious attacks, usually in the form of malware.
Shamma Alshebli, Hyeran Mun, Deepak Puthal, Mohamed Jamal Zemerly, Luigi Martino, Ernesto Damiani, Chan Yeob Yeun   +6 more
doaj   +1 more source

Optimized and Routed Wiring Harness Based on Zonal Clustering Concept Using AI in the Automotive Industry

IEEE Access
This paper presents an AI-driven approach for multi-zonal clustering and harness routing optimization in automotive electrical/electronic (E/E) systems.
Md Sanowar Hossain, Hafiz Abdul Quddus, Ziya Cevahir, Alexander Jesser   +3 more
doaj   +1 more source

Real-time multiple people gait recognition in the edge

Scientific Reports
Deploying deep learning models on edge devices offers advantages in terms of data security and communication latency. However, optimizing these models to achieve fast computing speeds without sacrificing accuracy can be challenging, especially in video ...
Paula Ruiz-Barroso, José María González-Linares, Francisco M. Castro, Nicolás Guil   +3 more
doaj   +1 more source

Instrument Detection and Descriptive Gesture Segmentation on a Robotic Surgical Maneuvers Dataset

Applied Sciences
Large datasets play a crucial role in the progression of surgical robotics, facilitating advancements in the fields of surgical task recognition and automation.
Irene Rivas-Blanco, Carmen López-Casado, Juan M. Herrera-López, José Cabrera-Villa, Carlos J. Pérez-del-Pulgar   +4 more
doaj   +1 more source

A Framework for Developing Cyber Physical Systems

International Conferences on Software Engineering and Knowledge Engineering, 2017
Cyber-physical systems (CPSs) are pervasive in our daily life from mobile phones to auto-driving cars. CPSs are inherently complex due to their sophisticated behaviors and thus difficult to build. In this paper, we propose a framework to develop CPSs based on a model-driven approach with quality assurance throughout the development process.
Xudong He, Zhijiang Dong, Heng Yin 0001, Yujian Fu   +3 more
openaire   +1 more source

Low-Cost Underwater Swarm Acoustic Localization: A Review

IEEE Access
Underwater swarm robotics has gained prominence as an innovative paradigm for diverse applications, including environmental monitoring and marine exploration.
Yuehan Jiang, Bernd-Christian Renner
doaj   +1 more source

Brain inspired iontronic fluidic memristive and memcapacitive device for self-powered electronics

Microsystems & Nanoengineering
Ionic fluidic devices are gaining interest due to their role in enabling self-powered neuromorphic computing systems. In this study, we present an approach that integrates an iontronic fluidic memristive (IFM) device with low input impedance and a ...
Muhammad Umair Khan, Bilal Hassan, Anas Alazzam, Shimaa Eissa, Baker Mohammad   +4 more
doaj   +1 more source

Fluid-particle-structure interaction in single shot peening

Scientific Reports
Shot peening is a widely used cold-working process. Physical phenomena of shot peening are analyzed using the developed fluid-particle-structure coupled solver. The influences of the flow field and shot peening parameters such as the shot impact velocity
Yusuke Mizuno, Takashi Misaka, Yoshiyuki Furukawa   +2 more
doaj   +1 more source

A multi-label visualisation approach for malware behaviour analysis

Scientific Reports
Modern malware evolves continuously, posing persistent challenges to cybersecurity. Conventional classification approaches typically group malware by its primary objective, emphasising dominant behaviours while overlooking the complex and overlapping ...
Dilara T. Uysal, Paul D. Yoo, Kamal Taha, Chan Yeob Yeun, Ernesto Damiani   +4 more
doaj   +1 more source