106   Artículos

 
en línea
Mingyoung Jeng, Alvir Nobel, Vinayak Jha, David Levy, Dylan Kneidel, Manu Chaudhary, Ishraq Islam, Evan Baumgartner, Eade Vanderhoof, Audrey Facer, Manish Singh, Abina Arshad and Esam El-Araby    
Convolutional neural networks (CNNs) have proven to be a very efficient class of machine learning (ML) architectures for handling multidimensional data by maintaining data locality, especially in the field of computer vision. Data pooling, a major compon... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Sardar Anisul Haque, Mohammad Tanvir Parvez and Shahadat Hossain    
Matrix?matrix multiplication is of singular importance in linear algebra operations with a multitude of applications in scientific and engineering computing. Data structures for storing matrix elements are designed to minimize overhead information as wel... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Bouwèdèo Toi Bissang, Antonio J. Aragón-Barroso, Gnon Baba, Jesús González-López and Francisco Osorio    
Drinking water requires excellent physico-chemical quality. It must therefore not contain any substance which is harmful, or which may harm the health of the consumer. The drinking water supply of Bangeli canton (Togo) is provided by ground water and sur... ver más
Revista: Water    Formato: Electrónico

 
en línea
Thomas Wilson, Miles Grafton and Matthew Irwin    
The New Zealand Emissions Trading Scheme allows landowners to be remunerated for the carbon sequestration capabilities of eligible forests established post 1990. For afforested areas of 100 hectares or fewer, carbon sequestration is estimated with the us... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Yang Wang, Jie Liu, Xiaoxiong Zhu, Qingyang Zhang, Shengguo Li and Qinglin Wang    
Structured grid-based sparse matrix-vector multiplication and Gauss?Seidel iterations are very important kernel functions in scientific and engineering computations, both of which are memory intensive and bandwidth-limited. GPDSP is a general purpose dig... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Laila Bouhouch, Mostapha Zbakh and Claude Tadonki    
The development of big data has generated data-intensive tasks that are usually time-consuming, with a high demand on cloud data centers for hosting big data applications. It becomes necessary to consider both data and task management to find the optimal... ver más
Revista: Information    Formato: Electrónico

 
en línea
Simone Trevas, Kathleen Manuel, Raja Malkani and Deanna Hoelscher    
Shortly after the identification of COVID-19, public health experts recommended the use of face masks and social distancing to slow the spread of the virus. Early research indicates that there are associations between gender, age, and mask-wearing behavi... ver más

 
en línea
Alexander Taranik,Sergey Lebedev,Igor Litvinenko,Grigory Baydin,Marina Belova,Olga Pavlenko,Elena Besova     Pág. 39 - 52
The paper analyzes the spread of COVID-19 in 2020-2021 in 8 regions of the Russian Federation: Moscow, Saint-Petersburg, Krasnodar Territory, Stavropol Territory, Bashkortostan Republic, Sverdlovsk Region, Krasnoyarsk Territory, and Primorye Territory. A... ver más
Revista: International Journal of Open Information Technologies    Formato: Electrónico

 
en línea
Michail Salampasis, Alkiviadis Katsalis, Theodosios Siomos, Marina Delianidi, Dimitrios Tektonidis, Konstantinos Christantonis, Pantelis Kaplanoglou, Ifigeneia Karaveli, Chrysostomos Bourlis and Konstantinos Diamantaras    
Research into session-based recommendation systems (SBSR) has attracted a lot of attention, but each study focuses on a specific class of methods. This work examines and evaluates a large range of methods, from simpler statistical co-occurrence methods t... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Youmeng Luo, Wei Li, Xiaoyu Ma and Kaiqiang Zhang    
With the continuous progress of image retrieval technology, in the field of image retrieval, the speed of a search for a desired image from a great deal of image data becomes a hot issue. Convolutional Neural Networks (CNN) have been used in the field of... ver más
Revista: Information    Formato: Electrónico

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