Results 91 to 100 of about 135,847 (312)
Using trusted platform module for securing virtual environment access in cloud [PDF]
With the increasing usage of Cloud and the Virtualization technology, there comes also an increasing demand to ensure the security levels of all computing environments and components associated and accordingly in this work we propose a new machine ...
Sherif, Asser
core +1 more source
Supercapacitors: An Emerging Energy Storage System
This review explores the principles, advancements, and material innovations in supercapacitor technology, covering pseudocapacitors, double‐layer capacitors, electrolytes, and nanostructured materials like carbon nanotubes, MXenes, and graphene. It examines hybrid systems bridging capacitors and batteries, promising applications in wearable devices ...
Muhammad Faisal Iqbal+7 more
wiley +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu+4 more
wiley +1 more source
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai+3 more
wiley +1 more source
Securely Launching Virtual Machines on Trustworthy Platforms in a Public Cloud [PDF]
In this paper we consider the Infrastructure-as-a-Service (IaaS) cloud model which allows cloud users to run their own virtual machines (VMs) on available cloud computing resources.
Aslam, Mudassar+3 more
core +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni+11 more
wiley +1 more source
Compliant Robotics in Space: A Prospective Review of Soft and Deformable Systems for Space Missions
Compliant robots are increasingly becoming integral to space exploration due to their adaptability, flexibility, and lightweight design. This article reviews categories such as soft, reconfigurable, and hyper‐redundant robots and their evolving role in enhancing space missions.
Hamed Rahimi Nohooji, Holger Voos
wiley +1 more source
Cryptographic Keys Generating and Renewing System for IoT Network Nodes—A Concept
Designers and users of the Internet of Things (IoT) are devoting more and more attention to the issues of security and privacy as well as the integration of data coming from various areas.
Janusz Furtak
doaj +1 more source
Trust Evaluation for Embedded Systems Security research challenges identified from an incident network scenario [PDF]
This paper is about trust establishment and trust evaluations techniques. A short background about trust, trusted computing and security in embedded systems is given.
Gehrmann, Christian, Löfvenberg , Jacob
core +3 more sources
Minimally Invasive Bowel Cancer Detection through Vibrating Microrobot‐Induced Elastography
A minimally invasive diagnostic method for bowel cancer detection combines vibrating microrobots and laser speckle contrast imaging to map tissue elasticity. By analyzing vibration‐induced resonance, detailed elasticity maps are produced, clearly differentiating tumors from healthy tissue.
Andrew Bickerdike+3 more
wiley +1 more source