57   Artículos

 
en línea
Pradeep Kumar, Guo-Liang Shih, Bo-Lin Guo, Siva Kumar Nagi, Yibeltal Chanie Manie, Cheng-Kai Yao, Michael Augustine Arockiyadoss and Peng-Chun Peng    
Violent attacks have been one of the hot issues in recent years. In the presence of closed-circuit televisions (CCTVs) in smart cities, there is an emerging challenge in apprehending criminals, leading to a need for innovative solutions. In this paper, t... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Hilmil Pradana    
Predicting traffic risk incidents in first-person helps to ensure a safety reaction can occur before the incident happens for a wide range of driving scenarios and conditions. One challenge to building advanced driver assistance systems is to create an e... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Wajid Ali, Ambiya and Devi Prasad Dash    
The rising concern about gender inequality among the economies in South, South-East, and Eastern Asia motivates us to study the context of gender development in terms of bridging gender disparity. To show the impact, the data has been extracted from vari... ver más
Revista: Administrative Sciences    Formato: Electrónico

 
en línea
Eirini Liotou, Dionysis Xenakis, Vasiliki Georgara, Georgios Kourouniotis and Lazaros Merakos    
Dynamic Adaptive Streaming over HTTP (DASH) has prevailed as the dominant way of video transmission over the Internet. This technology is based on receiving small sequential video segments from a server. However, one challenge that has not been adequatel... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Dereje Regassa, Heon Young Yeom and Junseok Hwang    
Recent advancements in memory technology have opened up a wealth of possibilities for innovation in data structures. The emergence of byte-addressable persistent memory (PM) with its impressive capacity and low latency has accelerated the adoption of PM ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Paraskevas Parlakidis, George Adamidis, Christos Alexoudis, Paschalina Pythoglou, Sotirios Papadopoulos and Zisis Vryzas    
Adjuvants are supplemental substances added to pesticide tank mixtures to enhance their efficacy by altering the dispersing, emulsifying, spreading, sticking, and wetting properties of the spray mixture. The goals of this study were an assessment of the ... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Allimuthu Elangovan, Nguyen Trung Duc, Dhandapani Raju, Sudhir Kumar, Biswabiplab Singh, Chandrapal Vishwakarma, Subbaiyan Gopala Krishnan, Ranjith Kumar Ellur, Monika Dalal, Padmini Swain, Sushanta Kumar Dash, Madan Pal Singh, Rabi Narayan Sahoo, Govindaraj Kamalam Dinesh, Poonam Gupta and Viswanathan Chinnusamy    
Phenomics technologies have advanced rapidly in the recent past for precision phenotyping of diverse crop plants. High-throughput phenotyping using imaging sensors has been proven to fetch more informative data from a large population of genotypes than t... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Eva ?tefanová, Eva Novotná and Miroslav Cábelka    
The aim of the article is to prepare a model for making available metadata and digital objects of the new Globe Virtual Collection for the Map Collection of the Faculty of Science of Charles University. The globes are special cartographic documents; ther... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Majd Nafeh, Arash Bozorgchenani and Daniele Tarchi    
Video streaming solutions have increased their importance in the last decade, enabling video on demand (VoD) services. Among several innovative services, 5G and Beyond 5G (B5G) systems consider the possibility of providing VoD-based solutions for surveil... ver más
Revista: Future Internet    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

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