Results 21 to 30 of about 3,370,595 (309)

AI to V2X Privacy and Security Issues in Autonomous Vehicles: Survey [PDF]

open access: yesMATEC Web of Conferences
Artificial Intelligence (AI) is transforming all of the technologies we use every day. More than ever, we are very near to the objective of vehicle autonomy, which has long been desired.
Ahmed Mohiuddin Mohammed   +5 more
doaj   +1 more source

Pig Organ Lesions Recorded in Different Abattoirs: A Statistical Approach to Assess the Comparability of Prevalence

open access: yesAgriculture, 2020
Documented lesions of slaughtered pigs provide a high-density data-pool that could be valuable for the purpose of animal health monitoring and breeding. However, data quality and structure hamper the application of statistical methods.
Ariane Horst   +3 more
doaj   +1 more source

Quality of Artificial Intelligence Driven Procurement Decision Making and Transactional Data Structure

open access: yesKvalita Inovácia Prosperita, 2023
Purpose: Current data driven decision making development calls for the quality assurance based on quality data structure. The paper analyses transactional data structure used in public procurement in Slovakia and the effect of data structure enhancement
Radoslav Delina, Marek Macik
doaj   +1 more source

Data Structures and Algorithms [PDF]

open access: yesScientific American, 1984
ETH, Eidgenössische Technische Hochschule Zürich, Institut für Informatik ...
Wirth, Niklaus, Gutknecht, Jürg
openaire   +2 more sources

Overview of Features and Issues in Designing Evaluation Indices for Social Phenomena

open access: yesSocial Technologies, 2015
The purpose of this paper is to analyse the design (construction) of composite indices and the evaluation of composite indices for social phenomena based on indicators and their properties. In order to achieve this objective, the following tasks were set:
Laura Gudelytė   +2 more
doaj   +1 more source

Solvable Model for the Linear Separability of Structured Data

open access: yesEntropy, 2021
Linear separability, a core concept in supervised machine learning, refers to whether the labels of a data set can be captured by the simplest possible machine: a linear classifier.
Marco Gherardi
doaj   +1 more source

Identifying and Classifying Urban Data Sources for Machine Learning-Based Sustainable Urban Planning and Decision Support Systems Development

open access: yesData, 2022
With the increase in the amount and variety of data that are constantly produced, collected, and exchanged between systems, the efficiency and accuracy of solutions/services that use data as input may suffer if an inappropriate or inaccurate technique ...
Stéphane C. K. Tékouabou   +5 more
doaj   +1 more source

Content-Based Approach for Improving Bloom Filter Efficiency

open access: yesApplied Sciences, 2023
Bloom filters are a type of data structure that is used to test whether or not an element is a member of a set. They are known for being space-efficient and are commonly employed in various applications, such as network routers, web browsers, and ...
Mohammed Alsuhaibani   +3 more
doaj   +1 more source

Rozwój funkcjonalności systemu informacji bibliograficznej językoznawstwa slawistycznego – od SYBISLAWa do iSybislawa

open access: yesStudia z Filologii Polskiej i Słowiańskiej, 2014
Functional development of the bibliographic information system on Slavic linguistics – from SYBISLAW to iSybislaw The paper presents the process of functional development of the bibliographic information system on Slavic linguistics.
Zenon Mikos
doaj   +1 more source

Novel Static Multi-Layer Forest Approach and Its Applications

open access: yesMathematics, 2021
The existing multi-layer tree is of dynamic linked list type which has many limitations and is complicated due to the pointer-node structure. Static array representation gives more flexibility in programming of algorithms and operations like insertion ...
Ganesh Bhagwat   +3 more
doaj   +1 more source

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