Results 31 to 40 of about 12,859 (202)

USING CLOUD PLATFORMS TO BUILD DISTRIBUTED LEARNING MANAGEMENT SYSTEMS

Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології, 2020
Distributed systems have problems with downtime, data loss during malfunctions, scalability and efficient use of computing resources. At the same time in the learning and training process, the use of a distributed system has the advantage of data ...
Volodymyr Yevhenovych Sokol, Pavlo Yuriiovych Sapronov, Mariia Oleksiivna Bilova   +2 more
doaj   +1 more source

Scylla: A Mesos Framework for Container Based MPI Jobs

, 2019
Open source cloud technologies provide a wide range of support for creating customized compute node clusters to schedule tasks and managing resources. In cloud infrastructures such as Jetstream and Chameleon, which are used for scientific research, users
Beltre, Angel, Govindaraju, Madhusudhan, Saha, Pankaj   +2 more
core   +2 more sources

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

A Comparative Study of UniTwin and Established Digital Twin Frameworks for IoT Applications

IEEE Access
Digital Twins (DTs) have become pivotal in enabling real-time monitoring, simulation, and optimization of complex systems across diverse domains. Despite the growing number of DT frameworks, objective comparisons remain difficult due to inconsistent ...
Tim Markus Hausermann, Joel Lehmann, Alessa Rache, Florian Kolb, Julian Reichwald   +4 more
doaj   +1 more source

The local impact of containerization [PDF]

Journal of Urban Economics, 2018
We investigate how containerization impacts local economic activity. Containerization is premised on a simple insight: packaging goods for waterborne trade into a standardized container makes them dramatically cheaper to move. We use a novel cost-shifter instrument -- port depth pre-containerization -- to contend with the non-random adoption of ...
Leah Brooks, Nicolas Gendron-Carrier, Gisela Rua   +2 more
openaire   +1 more source

Operating Capacity, Pricing and Supply Elasticity in Container Shipping Markets

International Journal of Finance &Economics, EarlyView.
ABSTRACT We investigate the channels through which changes in operating capacity influence freight rates in the container shipping market using a novel dataset to create an operating capacity index at the shipping‐route level. Our analysis reveals that when supply elasticity is low, an increase in operating capacity tends to drive freight rates upward,
Cong Sui, Shang Wang, Jingmin Liang, Nikos K. Nomikos   +3 more
wiley   +1 more source

An economic evaluation model of the logistic system based on container transportation [PDF]

Transport, 2008
Over the recent years, the use of containers in the transport system has dramatically increased. The rise of world containerisation is the result of the interplay of macroeconomic, microeconomic and policy‐oriented factors.
Aidas Vasilis Vasiliauskas, Jurgita Barysienė   +1 more
doaj   +1 more source

Microservices Validation: Methodology and Implementation [PDF]

, 2015
Due to the wide spread of cloud computing, arises actual question about architecture, design and implementation of cloud applications. The microservice model describes the design and development of loosely coupled cloud applications when computing ...
Radchenko, G., Savchenko, D.
core  

Offline Reconstruction of Diffusion MRI Acquisitions for Comparison Between Complex PCA‐Based and AI‐Based Denoising

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Optimal diffusion MRI (dMRI) data for image denoising is often unavailable from scanner reconstruction. In this work, we make available an offline reconstruction pipeline for GE dMRI acquisitions, giving access to complex dMRI data. Furthermore, we compare the efficacy of GE HealthCare's AIR‐Recon DL (ARDL), a proprietary convolutional
Francesco D'Antonio, Shaun Warrington, Jose‐Pedro Manzano‐Patron, Paul S. Morgan, Stamatios N. Sotiropoulos   +4 more
wiley   +1 more source

Training of IT Specialists in the Conditions of Global Digital Transformation. The Concept of Automated Management of Competency Profiles in the Educational Programs of the Future

Современные информационные технологии и IT-образование, 2021
The paper analyzes the impact of global digital transformation on the improvement of methods and technologies for training IT professionals, formulates the key aspects of the strategy for high-tech training of qualified and in-demand IT professionals ...
Mikhail Belov, Stanislav Grishko, Evgeniya Cheremisina, Nadezhda Tokareva   +3 more
doaj   +1 more source