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Load distributing for locally distributed systems

Niranjan G. Shivaratri, Phillip Krueger, Mukesh Singhal • Computer (1992)

The problem of judiciously and transparently redistributing the load of the system among its nodes so that overall performance is maximized is discussed. Several key issues in load distributing for general-purpose systems, including the mot...

OPENALEX DOI: https://doi.org/10.1109/2.179115

Embodied science and mixed reality: How gesture and motion capture affect physics education

Mina C. Johnson-Glenberg, Colleen Megowan-Romanowicz • Cognitive Research (2017)

Abstract A mixed design was created using text and game-like multimedia to instruct in the content of physics. The study assessed which variables predicted learning gains after a 1-h lesson on the electric field. The three manipulated varia...

DOAJ Open Access (DOAJ) DOI: 10.1186/s41235-017-0060-9

Vape Smoking: Prevalence and Perception among Damnhour University Students

Naglaa Hussein • International Egyptian Journal of Nursing Sciences and Research (2025)

Background: E-cigarette or vape smoking is becoming a worldwide concern, yet vapinginformation is not widespread among Middle Eastern university students. The paper offers the pattern ofvape smoking in Damnhour University, Egypt, which uses...

DOAJ Open Access (DOAJ) DOI: 10.21608/ejnsr.2025.370486.1434

OPTIMISER LE DÉVELOPPEMENT DES COMPÉTENCES ORALES DES ÉTUDIANTS : UNE APPROCHE PÉDAGOGIQUE AXÉE SUR L'ENGAGEMENT ACTIF DANS LES COURS DE LANGUE

DEMBRI Naima • Ziglôbitha (2025)

Résumé : S’intéresser à l’agir de l’apprenant en pédagogie, c’est s’intéresser aux capacités des apprenants à construire eux-mêmes leurs savoirs et à agir sur leur apprentissage tout en interagissant avec les autres acteurs dans une perspec...

DOAJ Open Access (DOAJ) DOI: 10.60632/ziglobitha.n013.05.vol.1.2025

Inheritance in natural language processing

Walter M. P. Daelemans, Koenraad De Smedt, Gerald J. M. Gazdar • OLAC - Open Language Archives Community (1992)

In this introduction to the special issues, we begin by outlining a concrete example that indicates some of the motivations leading to the widespread use of inheritance networks in computational linguistics. This example allows us to illust...

OPENALEX DOI: https://doi.org/10.5555/142235.142243

MedScan, a natural language processing engine for MEDLINE abstracts

Svetlana Novichkova, Sergei Egorov, Nikolai Daraselia • Bioinformatics (2003)

MOTIVATION: The importance of extracting biomedical information from scientific publications is well recognized. A number of information extraction systems for the biomedical domain have been reported, but none of them have become widely us...

OPENALEX Open Access DOI: https://doi.org/10.1093/bioinformatics/btg207

Problems In Indoor Mapping and Modelling

S. Zlatanova, G. Sithole, M. Nakagawa, Q. Zhu • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2013)

Research in support of indoor mapping and modelling (IMM) has been active for over thirty years. This research has come in the form of As-Built surveys, Data structuring, Visualisation techniques, Navigation models and so forth. Much of thi...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprsarchives-XL-4-W4-63-2013

MAT-Fly: An Educational Platform for Simulating Unmanned Aerial Vehicles Aimed to Detect and Track Moving Objects

Giuseppe Silano, Luigi Iannelli • IEEE Access (2021)

The main motivation of this work is to propose a simulation approach for a specific task within the Unmanned Aerial Vehicle (UAV) field, i.e., the visual detection and tracking of arbitrary moving objects. In particular, it is described MAT...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2021.3064758

Building neural networks

David M. Skapura (1995)

Foundations. Motivation. Neural-Network Fundamentals. Single Neuron Computations. Network Computations. Network Simulation. Foundations Summary. Suggested Readings. Bibliography. Paradigms. The Backpropagation Network. The Counterpropagatio...

OPENALEX

Artificial neural networks: a tutorial

A.K. Jain, Jianchang Mao, K.M. Mohiuddin • Computer (1996)

Artificial neural nets (ANNs) are massively parallel systems with large numbers of interconnected simple processors. The article discusses the motivations behind the development of ANNs and describes the basic biological neuron and the arti...

OPENALEX DOI: https://doi.org/10.1109/2.485891

Digital Local Return Services and Purchase Intention in Cross-Border E-Commerce: A Risk–Trust Perspective

Xianfa Shi, Miao Su, Keun-sik Park • Journal of Theoretical and Applied Electronic Commerce Research (2026)

Cross-border e-commerce offers consumers broader product access, yet uncertainty surrounding returns continues to suppress online purchase decisions. This study conceptualizes digital local return services as a digital assurance mechanism i...

DOAJ Open Access (DOAJ) DOI: 10.3390/jtaer21060165

A review on deep learning in UAV remote sensing

Lucas Prado Osco, José Marcato, Ana Paula Marques Ramos, Lúcio André de Castro Jorge et al. • International Journal of Applied Earth Observation and Geoinformation (2021)

Deep Neural Networks (DNNs) learn representation from data with an impressive capability, and brought important breakthroughs for processing images, time-series, natural language, audio, video, and many others. In the remote sensing field, ...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.jag.2021.102456