22   Artículos

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en línea
L.R. Mark Hall    
The fire history obtained from pre-settlement fire-scarred trees provides useful benchmarks for the restoration of dry interior, fire-dependent forest ecosystems. In the Rocky Mountain Trench of southeast British Columbia, historical benchmarks obtained ... ver más
Revista: Journal of Ecosystems and Management    Formato: Electrónico

 
en línea
Cheng Cheng, Qingtian Zeng, Hua Zhao and Shansong Wang    
Sudden natural disasters have the characteristics of complexity, unpredictability and frequency. To better manage and analyze sudden natural disasters promptly with the help of historical natural disaster cases, this study adopts the method of fused case... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Yong Yu, Shudong Chen, Rong Du, Da Tong, Hao Xu and Shuai Chen    
Temporal knowledge graphs play an increasingly prominent role in scenarios such as social networks, finance, and smart cities. As such, research on temporal knowledge graphs continues to deepen. In particular, research on temporal knowledge graph reasoni... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Syed Raza Bashir, Shaina Raza and Vojislav B. Misic    
Recommending points of interest (POI) is a challenging task that requires extracting comprehensive location data from location-based social media platforms. To provide effective location-based recommendations, it is important to analyze users? historical... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Alamir Labib Awad, Saleh Mesbah Elkaffas and Mohammed Waleed Fakhr    
Stock value prediction and trading, a captivating and complex research domain, continues to draw heightened attention. Ensuring profitable returns in stock market investments demands precise and timely decision-making. The evolution of technology has int... ver más
Revista: Applied System Innovation    Formato: Electrónico

 
en línea
Xiaoling Wang, Qi Kang, Mengchu Zhou, Zheng Fan and Aiiad Albeshri    
Multi-task optimization (MTO) is a novel emerging evolutionary computation paradigm. It focuses on solving multiple optimization tasks concurrently while improving optimization performance by utilizing similarities among tasks and historical optimization... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Dohyoung Kwon    
This study developed an investment framework to implement dynamic factor rotation strategies according to changes in economic conditions. I constructed a useful macro indicator that tracked real-time business cycles of the US economy and applied a trend-... ver más
Revista: International Journal of Financial Studies    Formato: Electrónico

 
en línea
Chia-Ping Tsai, Che-Wei Chang, Hung-Chang Hsiao and Haiying Shen    
Not Only SQL (NoSQL) is a critical technology that is scalable and provides flexible schemas, thereby complementing existing relational database technologies. Although NoSQL is flourishing, present solutions lack the features required by enterprises for ... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Giovanni Siciliano, Velia Bigi, Ingrid Vigna, Elena Comino, Maurizio Rosso, Elena Cristofori, Alessandro Demarchi and Alessandro Pezzoli    
Climate analyses at a local scale are an essential tool in the field of sustainable development. The evolution of reanalysis datasets and their greater reliability contribute to overcoming the scarcity of observed data in the southern areas of the world.... ver más
Revista: Climate    Formato: Electrónico

 
en línea
Ferdinand Maiwald, Christoph Lehmann and Taras Lazariv    
The idea of virtual time machines in digital environments like hand-held virtual reality or four-dimensional (4D) geographic information systems requires an accurate positioning and orientation of urban historical images. The browsing of large repositori... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Chia-Cheng Chen,Chun-Hung Chen,Ting-Yin Liu     Pág. 59 - 66
This study aims to explore the prediction of S&P 500 stock price movement and conduct an analysis of its investment performance. Based on the S&P 500 index, the study compares three machine learning models: ANN, SVM, and Random Forest. With a per... ver más
Revista: International Journal of Economics and Financial Issues    Formato: Electrónico

 
en línea
Qingge Ji, Haoqiang Yu and Xiao Wu    
Based on tracking-by-detection, we propose a hierarchical-matching-based online and real-time multi-object tracking approach with deep appearance features, which can effectively reduce the false positives (FP) in tracking. For the purpose of increasing t... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Chia-Cheng Chen,Yisheng Liu,Ting-Hsin Hsu     Pág. 1 - 10
This study aims to explore the prediction of Taiwan stock price movement and conduct an analysis of its investment performance. Based on Taiwan Stock Market index, the study compares four machine learning models: ANN, SVM, Random Forest and Naïve-Bayes. ... ver más
Revista: International Journal of Economics and Financial Issues    Formato: Electrónico

 
en línea
Chien-Ming Chou    
This study presents the application of a set pair analysis-based similarity forecast (SPA-SF) model and wavelet denoising to forecast annual runoff. The SPA-SF model was built from identical, discrepant and contrary viewpoints. The similarity between est... ver más
Revista: Water    Formato: Electrónico

 
en línea
Francesca Aureli, Andrea Maranzoni, Gabriella Petaccia and Sandra Soares-Frazão    
Laboratory experiments of dam-break flows are extensively used in investigations of geophysical flows involving flood waves, to provide insight into relevant aspects of the physics of the process and collect experimental data for validating numerical mod... ver más
Revista: Water    Formato: Electrónico

 
en línea
Maria Luisa Beconcini, Paolo Formichi, Linda Giresini, Filippo Landi, Benedetta Puccini and Pietro Croce    
The assessment of seismic performance of existing masonry structures is a key aspect for the risk mitigation strategies of existing buildings and preservation of historical heritage. The increasing availability of modelling approaches for the assessment ... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Georgios Drakopoulos, Yorghos Voutos and Phivos Mylonas    
Computer games play an increasingly important role in cultural heritage preservation. They keep tradition alive in the digital domain, reflect public perception about historical events, and make history, and even legends, vivid, through means such as adv... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Shakhnaz Akhmedova, Vladimir Stanovov, Danil Erokhin and Olga Semenkina    
In this study, a new modification of the meta-heuristic approach called Co-Operation of Biology-Related Algorithms (COBRA) is proposed. Originally the COBRA approach was based on a fuzzy logic controller and used for solving real-parameter optimization p... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Raffaele Albano    
Three-dimensional (3D) reconstruction techniques are increasingly used to obtain 3D representations of buildings due to the broad range of applications for 3D city models related to sustainability, efficiency and resilience (i.e., energy demand estimatio... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yi-Chi Tsai,Cheng-Yih Hong     Pág. 68 - 73
The financial tsunami is a crisis that happened in 2007. It broke out in the United States, and then spread to the whole world. Taiwanese economy exhibited a negative growth of 7.53%, and the fluctuation is manifest in Taiwan stock index. It has been eve... ver más
Revista: International Journal of Economics and Financial Issues    Formato: Electrónico

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