Results 41 to 50 of about 4,585 (196)
Abstract We investigate how the affordances of an online context shape the processes of social learning. Using a dataset of more than 11,000 posts from the fraud subdread on the dark web forum Dread, we examine how affordances of platform governance, connectivity, anonymity, invisibility, asynchronicity, and limited oversight influence the components ...
Fangzhou Wang, Timothy Dickinson
wiley +1 more source
Investigation on the Applications of Ethernet VPN in Cloud Data Center Interconnection
The problems existing in the current VPLS services and new requirements for ethernet VPN are summarized,and the technical characteristics of E-VPN and PBB E-VPN newly presented by IETF are introduced and analyzed.Furthermore,integrated with the actual ...
Xiaoming He +3 more
doaj +2 more sources
Abstract Inadequate monitoring of biodiversity is a characteristic of conservation the world over. The potential of acoustic monitoring is compelling, although the challenges remain substantial. Effective solutions require transdisciplinary collaboration among stakeholders, a focus on open‐source development, and flexible, multipronged technical ...
Andrea S. Griffin +7 more
wiley +1 more source
IMPLEMENTASI VIRTUAL PRIVATE NETWORK (VPN) DI PERPUSTAKAAN UNIVERSITAS ISLAM MALANG
This study aims to explain to use a VPN in the UNISMA Library. The research method used is descriptive-qualitative and data was obtained through interviews with five informants, observation, and documentation. Data analysis techniques by collecting data,
Lia Umaroh, Machsun Rifauddin
doaj +1 more source
The article provides an overview of the web traffic filtering system using the Linux-based Squid software package. The system allows you to limit users on the Internet and collect statistics without interfering with the user’s computer, including the web
P. V. Pevnev
doaj +1 more source
Class Angular Distortion Index for Dimensionality Reduction
Abstract Dimensionality reduction (DR) techniques are often characterized by whether they preserve global, high‐level structures in the data or local, neighborhood structures. This distinction matters in visualization: global methods can obscure clusters while local methods can over‐emphasize them.
Kaviru Gunaratne +2 more
wiley +1 more source
SPINE: VAE‐driven Counterfactuals for Decision Boundary Maps
Abstract As Deep Learning models become increasingly complex, Explainable AI becomes essential for deploying machine learning classifiers. Decision Boundary Mapping (DBM) is a technique for visualizing a classifier's global decision boundary. Despite their relative success, current DBM methods rely on global inverse multidimensional projections that ...
I.M. Bloemen, V. Prasad, F. V. Paulovich
wiley +1 more source
ABSTRACT The recent rise of Generative Artificial Intelligence (GenAI) is fundamentally changing the way businesses operate, with many now investing heavily in this technology. However, businesses are still exploring ways to extract value from GenAI and develop organisational capabilities.
Ashish Jagdish Sharma +4 more
wiley +1 more source
ABSTRACT During the COVID‐19 pandemic, the nuclear and border control services had to reorganise their work, both on‐site and remotely, to continue their activities. Whereas employees came to work at the power plants and border posts every day, the health rules introduced by the public authorities and those relating to the lockdown of populations ...
Laure Bonnaud, Tania Navarro Rodríguez
wiley +1 more source
The Impact of Digital Technologies on Skills‐to‐Job Mismatches
ABSTRACT A pervasive discourse calls for worker upskilling amid ongoing digital transformation. This study introduces a skills‐to‐job mismatch perspective into research on the digital transformation of work by conceptualising technological adoption as a process that reshapes the relationship between workers’ skill endowments and evolving job ...
Ana Santiago‐Vela
wiley +1 more source

