Results 51 to 60 of about 78,996 (280)
Outsourcing Large-Scale Quadratic Programming to a Public Cloud
IEEE Access, 2015 Cloud computing provides service for resource-constrained customers to perform large-scale scientific computation. However, it also brings some new challenges, which have to be considered in designing outsourcing protocols.
Lifeng Zhou, Chunguang Li
doaj +1 more source
Applied Sciences, 2023 In the medical field, with the increasing number of medical images, medical image classification has become a hot spot. The convolutional neural network, a technology that can process more images and extract more accurate features with nonlinear models ...
Qing Yu +3 more
doaj +1 more source
AI in chemical engineering: From promise to practice
AIChE Journal, EarlyView.Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Cloud outsourcing secret sharing scheme against covert adversaries
Tongxin xuebao, 2017 In order to make computationally weak cloud tenants can reconstruct a secret with efficiency and fairness,a cloud outsourcing secret sharing scheme was proposed,which combined cloud outsourcing computation with secret sharing scheme.In the process of ...
En ZHANG +5 more
doaj +2 more sources
On the Security of Offloading Post-Processing for Quantum Key Distribution
Entropy, 2023 Quantum key distribution (QKD) has been researched for almost four decades and is currently making its way to commercial applications. However, deployment of the technology at scale is challenging because of the very particular nature of QKD and its ...
Thomas Lorünser +3 more
doaj +1 more source
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
Advanced Intelligent Discovery, EarlyView.A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Secure data outsourcing in presence of the inference problem: issues and directions
Journal of Information and Telecommunication, 2021 With the emergence of cloud computing paradigms, secure data outsourcing has become one of the crucial challenges which strongly imposes itself. Data owners place their data among cloud service providers in order to increase flexibility, optimize storage,
Adel Jebali +2 more
doaj +1 more source
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Egyptian Informatics JournalOutsourcing machine learning models to cloud servers allows data owners to train and utilize models without investing in dedicated hardware. However, this approach raises significant concerns regarding the proprietary nature of the models and the data ...
Nawal Almutairi
doaj +1 more source
PP-DDP: a privacy-preserving outsourcing framework for solving the double digest problem
BMC Bioinformatics, 2023 Background As one of the fundamental problems in bioinformatics, the double digest problem (DDP) focuses on reordering genetic fragments in a proper sequence. Although many algorithms for dealing with the DDP problem were proposed during the past decades,
Jingwen Suo +5 more
doaj +1 more source