Results 121 to 130 of about 82,469 (304)

Confidence intervals with imprecise data

Statistical Papers
Abstract The process of measuring a continuous variable is typically subject to imprecision due to causes as varied as measurement errors or rounding, and it is the duty of practitioners to take account of this imprecision when performing different statistical inference tasks.
Darío Tagarro, Raúl Pérez-Fernández, Enrique Miranda   +2 more
openaire   +1 more source

Twin pregnancies and the limits of the energetics of gestation and growth hypothesis

The Anatomical Record, EarlyView.
Abstract The “Energetics of Gestation and Growth” (EGG) hypothesis proposes that human birth timing and the associated secondary altriciality of human newborns is determined by limits in maternal metabolic capacity. According to this model, labor is triggered when the increasing fetal energy requirements exceed the expectant mother's maximum sustained ...
Cédric Cordey, Nicole M. Webb, Martin Haeusler   +2 more
wiley   +1 more source

Intelligent VTS [PDF]

TransNav, 2007
In this paper the author depicts new approach involving fuzziness in navigational situation assessment. Nowadays operator at maritime traffic monitoring station is assumed to have access to a great amount of data. The data comes from different places and
Wlodzimierz Filipowicz
doaj  

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

Archaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban, Rolando Salas López, Angel J. Medina‐Medina, Katerin M. Tuesta‐Trauco, Abner S. Rivera‐Fernandez, Nerci M. Noriega‐Salazar, José A. Sánchez‐Vega, Teodoro B. Silva‐Melendez, Marlen A. Grandez‐Alberca, Jhonsy O. Silva‐López, Nilton B. Rojas‐Briceño, Manuel Oliva‐Cruz, Alexander Cotrina‐Sanchez, Elgar Barboza   +13 more
wiley   +1 more source

OLAP over Imprecise Data With Domain Constraints

, 2007
Several recent works have focused on OLAP over imprecise data, where each fact can be a region, instead of a point, in a multi-dimensional space.
Vaithyanathan, Shivakumar, Ramakrishnan, Raghu, Burdick, Doug, Doan, AnHai   +3 more
core  

Cooperative learning in anatomy: Comparing virtual avatars and human specimens

Anatomical Sciences Education, EarlyView.
Abstract Contemporary research demonstrated that undergraduate medical students rated an augmented reality learning tool entitled “human muscular arm avatar” as useful for their self‐directed individual learning. Beyond this subjective assessment, it was largely unknown whether avatar‐based study would also improve knowledge test scores at an objective
Christa Maurer, Annika H. Meuser, Simone Manhal, Niels Hammer, Sarah J. Löcker, Yusuf O. Cakmak, Katharina Erlbacher   +6 more
wiley   +1 more source

Survival Analysis as Imprecise Classification with Trainable Kernels

Mathematics
Survival analysis is a fundamental tool for modeling time-to-event data in healthcare, engineering, and finance, where censored observations pose significant challenges.
Andrei Konstantinov, Lev Utkin, Vlada Efremenko, Vladimir Muliukha, Alexey Lukashin, Natalya Verbova   +5 more
doaj   +1 more source

Accessing Imprecise Data: An Approach Based on Intervals

, 1993
In many real world applications (even in banking), imprecise data is a matter of fact. However, classic database management systems provide little if any help in the management of imprecise data.
Roger S. Barga, Calton Pu
core  

When AI outputs become documents: Documentation activity in human–AI dialogue

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Large language models (LLMs) generate texts that increasingly circulate as documents in knowledge infrastructures, yet their documentary status remains theoretically underdetermined. Unlike traditional documents, LLM outputs lack identifiable authorship, stable provenance, or testimonial grounding.
Sascha Donner
wiley   +1 more source

Dynamic panel regression with fuzzy outputs: A two-stage estimation framework

Systems and Soft Computing
Traditional panel data models, while effective in managing longitudinal and cross-sectional variations, are not suitable for handling imprecise data in real-world scenarios caused by vagueness, subjectivity or measurement limitations.
Gholamreza Hesamian, Arne Johannssen
doaj   +1 more source