نتایج جستجو برای: limited resources

تعداد نتایج: 662836  

Journal: :Mathematics 2023

Despite the ongoing preventive measures of vector control, dengue fever still presents outbreaks, and daily commuting people also facilitates its propagation. To contain disease spread after an outbreak has already occurred, local healthcare authorities are compelled to perform insecticide spraying as a corrective measure thus trying avoid massive human infections. Several issues concerned with...

2005
Luis Villaseñor Pineda Viet Bac Le Manuel Montes-y-Gómez Manuel Alberto Pérez-Coutiño

This paper discuses preliminary results on acoustic models creation through acoustic models already in existence for another language. In this work we show as case of study, the creation of acoustic models for Mexican Spanish, tagging automatically the training corpus with a recognition system for French. The resulting set of acoustic models for Mexican Spanish has gathered promising results at...

2011
JM Boyce A Tauman J Kozakiewicz A Fisher W Hung T Halpert A Karjoo

Methods We developed an AMS program, headed by a pharmacist and infectious diseases (ID) physician. Drug utilization reviews identified an expensive, broad-spectrum agent (piperacillin-tazobactam [P-T]) for initial targeting. An AMS form for listing clinical data and recommendations was developed. A daily list of patients receiving P-T was used to identify target patients for intervention. The ...

Journal: :Revue d'epidemiologie et de sante publique 2012
N Ndeikoundam Ngangro P Chauvin V Halley des Fontaines

BACKGROUND Delayed diagnoses of pulmonary tuberculosis contribute to the spread of the epidemic. METHODS This study aims to identify risk factors associated with patient delay (from symptoms onset to the first visit), health system delay (from the first visit to the tuberculosis treatment initiation) and total delay (sum of the patient and the health system delay) in low income and high tuber...

2005
Manolis Falelakis Christos Diou Manolis Wallace Anastasios Delopoulos

In this paper we examine the problem of automatic semantic identification of entities in multimedia documents from a computing point of view. Specifically, we identify as main points to consider the storage of the required knowledge and the computational complexity of the handling of the knowledge as well as of the actual identification process. In order to tackle the above we utilize (i) a spa...

Journal: :The Nursing clinics of North America 2014
Sarah L Szanton Jill Roth Manka Nkimbeng Jessica Savage Rachel Klimmek

Aging with independence benefits individuals, family, and society. To achieve independence, older adults must be able to function in their homes. This function is determined both by their abilities and by the environment in which they maneuver. This article describes a promising program that intervenes with both older adults and their home environments to improve function. This program, called ...

2014
Viet Bac Le Lori Lamel Abdelkhalek Messaoudi William Hartmann Jean-Luc Gauvain Cécile Woehrling Julien Despres Anindya Roy

This paper presents recent progress in developing speech-totext (STT) and keyword spotting (KWS) systems for the 2014 IARPA-Babel evaluation. Systems have been developed for the limited language pack condition for four of the five development languages in this program phase: Assamese, Bengali, Haitian Creole and Zulu. The systems have several novel characteristics that support rapid development...

Journal: :J. Artif. Intell. Res. 2013
Maliheh Aramon Bajestani J. Christopher Beck

We address a dynamic repair shop scheduling problem in the context of military aircraft fleet management where the goal is to maintain a full complement of aircraft over the longterm. A number of flights, each with a requirement for a specific number and type of aircraft, are already scheduled over a long horizon. We need to assign aircraft to flights and schedule repair activities while consid...

Journal: :CoRR 2017
Celestine Dünner Thomas P. Parnell Martin Jaggi

We propose a generic algorithmic building block to accelerate training of machine learning models on heterogeneous compute systems. Our scheme allows to efficiently employ compute accelerators such as GPUs and FPGAs for the training of large-scale machine learning models, when the training data exceeds their memory capacity. Also, it provides adaptivity to any system’s memory hierarchy in terms...

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