39   Artículos

 
en línea
James Oduor Oyoo, Jael Sanyanda Wekesa and Kennedy Odhiambo Ogada    
Road traffic collisions are among the world?s critical issues, causing many casualties, deaths, and economic losses, with a disproportionate burden falling on developing countries. Existing research has been conducted to analyze this situation using diff... ver más
Revista: Applied System Innovation    Formato: Electrónico

 
en línea
Mirko Stojcic, Milorad K. Banjanin, Milan Vasiljevic, Dragana Nedic, Aleksandar Stjepanovic, Dejan Danilovic and Goran Puzic    
Delay in data transmission is one of the key performance indicators (KPIs) of a network. The planning and design value of delay in network management is of crucial importance for the optimal allocation of network resources and their performance focuses. ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xiao Zhou, Bowei Wen, Mingzhan Su and Jiangpeng Tian    
This study presents a low-carbon decision-making algorithm for water-spot tourists, based on the k-NN spatial-accessibility optimization model, to address the problems of water-spot tourism spatial decision-making. The attributes of scenic water spots pr... ver más
Revista: Water    Formato: Electrónico

 
en línea
Dorin Moldovan    
The bio-inspired research field has evolved greatly in the last few years due to the large number of novel proposed algorithms and their applications. The sources of inspiration for these novel bio-inspired algorithms are various, ranging from the behavi... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Weronika Joanna Piatkowska, Fabiola Spolaor, Marco Romanato, Roberta Polli, Alessandra Huang, Alessandra Murgia and Zimi Sawacha    
Fragile X syndrome (FXS) is caused by pathologic expansions of the CGG repeat polymorphic region of the FMR1 gene. There are two main categories of FMR1 mutations, ?premutation? and ?full mutation?, that are associated with different clinical phenotypes,... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jogeswar Tripathy, Rasmita Dash, Binod Kumar Pattanayak, Sambit Kumar Mishra, Tapas Kumar Mishra and Deepak Puthal    
In high-dimensional data analysis, Feature Selection (FS) is one of the most fundamental issues in machine learning and requires the attention of researchers. These datasets are characterized by huge space due to a high number of features, out of which o... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Faisal Dharma Adhinata,Diovianto Putra Rakhmadani,Danur Wijayanto     Pág. 22 - 30
Background: The COVID-19 pandemic has made people spend more time on online meetings more than ever. The prolonged time looking at the monitor may cause fatigue, which can subsequently impact the mental and physical health. A fatigue detection system is ... ver más

 
en línea
Fuyu Xu and Kate Beard    
Measures of similarity or differences between data objects are applied frequently in geography, biology, computer science, linguistics, logic, business analytics, and statistics, among other fields. This work focuses on event sequence similarity among ev... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Md Arafat Habib, Cheol Hong Kim and Jong-Myon Kim    
This study aims at characterizing crack types for reinforced concrete beams through the use of acoustic emission burst (AEB) features. The study includes developing a solid crack assessment indicator (CAI) accompanied by a crack detection method using th... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Taufik Fuadi Abidin, Amir Mahazir, Muhammad Subianto, Khairul Munadi and Ridha Ferdhiana    
During the previous decades, intelligent identification of acronym and expansion pairs from a large corpus has garnered considerable research attention, particularly in the fields of text mining, entity extraction, and information retrieval. Herein, we p... ver más
Revista: Information    Formato: Electrónico

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