Results 101 to 110 of about 23,732 (304)

Backpropagation Neural Network Algorithm for Optimizing Network Bandwidth Allocation Based on User Access Patterns

open access: yesEngineering Proceedings
In the era of rapid digital transformation, efficient network bandwidth allocation is vital for ensuring high-quality service and seamless network operations, particularly in environments with dynamic traffic patterns.
Akmal Nuur Fauzan   +3 more
doaj   +1 more source

Sustainability Disclosure and External Assurance of Reports in the Italian Agrifood Sector

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The European Union introduced the Corporate Sustainability Reporting Directive (CSRD) with the aim of aligning the “walk”—the implementation of substantive sustainability practices—and the “talk”—their representation in sustainability reporting.
Andrea Caccialanza   +2 more
wiley   +1 more source

Ethical Behaviour and Corporate Financing. The Case of ‘Legality Rating’

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The financial crisis has heightened awareness of ethical and legal issues in the business context. Corporate ethical behaviour is increasingly measured through sustainability ratings. Since 2012, in Italy, the introduction of a sustainability rating, namely the legality rating (LR), has served as an innovative ‘label’ for socially responsible ...
Federica Doni   +3 more
wiley   +1 more source

ATM Networks: Bandwidth Allocation and Congestion Control

open access: yes, 1996
ATM provides a very high speed network infrastructure suitable for local, campus and wide area networks, capable of supporting a broad range of applications. There are still several areas of ATM which require further work.
D. Cavendish, S. Mascolo, M. Gerla
core   +1 more source

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

open access: yesDeep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang   +4 more
wiley   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

open access: yesFlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu   +3 more
wiley   +1 more source

Minimizing Power Consumption in Video Servers by the Combined Use of Solid-State Disks and Multi-Speed Disks

open access: yesIEEE Access, 2018
Disks use a considerable portion of the total energy consumed by a video server. Solid-state disks (SSDs) can be used as a cache to reduce disk speeds, thereby decreasing the power consumed by disks.
Minseok Song
doaj   +1 more source

Evaluating Forecasts at Multiple Horizons: An Extension of the Diebold–Mariano Approach

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Forecast accuracy tests are fundamental tools for comparing competing predictive models. The widely used Diebold–Mariano (DM) test assesses whether differences in forecast errors are statistically significant. However, its standard form is limited to pairwise comparisons at a single forecast horizon.
Andrew Grant   +2 more
wiley   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

open access: yesGreenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira   +5 more
wiley   +1 more source

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