Results 31 to 40 of about 30,090,669 (294)

A Tool for the Sustainability Assessment of Farms: Selection, Adaptation and Use of Indicators for an Italian Case Study

Resources, 2017
Indicator-based tools are widely used for the assessment of farm sustainability, but analysts still face methodological and conceptual issues, including data availability, the complexity of the concept of sustainability and the heterogeneity of ...
Anna Gaviglio, Mattia Bertocchi, Eugenio Demartini   +2 more
doaj   +1 more source

Activities of PMO optical space debris survey [PDF]

Anais da Academia Brasileira de Ciências
Space debris division of PMO is devoted to play an important role in the research of orbital mechanics and the development of space debris observation techniques in China.
ZHANG CHEN, ZHAO CHANGYIN
doaj   +2 more sources

Adaptive Input Sampling: A Novel Approach for Efficient Object Detection in High Resolution Traffic Monitoring Images

IEEE Access
Real-time traffic monitoring based on artificial intelligence (AI) models is essential for efficient transportation management, but it faces significant computational challenges, particularly when processing high-resolution video footage.
Tewodros Syum Gebre, Eden Tsehaye Wasehun, Freda Elikem Dorbu, Gazali Oluwasegun Agboola, Ali Karimoddini, Leila Hashemi-Beni   +5 more
doaj   +1 more source

Multivariate Pointwise Information-Driven Data Sampling and Visualization

Entropy, 2019
With increasing computing capabilities of modern supercomputers, the size of the data generated from the scientific simulations is growing rapidly. As a result, application scientists need effective data summarization techniques that can reduce large ...
Soumya Dutta, Ayan Biswas, James Ahrens
doaj   +1 more source

Dimensionality reduction for predicting student performance in unbalanced data sets [PDF]

, 2019
In this study, we evaluated two data sets from two Portuguese schools for predicting student performance. These data sets contain not only the previous grades of the students, but also the demographic, social and school related features. Both data sets
Khor, Kok Chin, Ng, Keng Hoong, Lim, Theng Wai   +2 more
core   +1 more source

Unveiling consumer satisfaction and its driving factors of EVs in China using an explainable artificial intelligence approach

Humanities & Social Sciences Communications
As China’s electric vehicle (EV) industry shifts from policy-driven to market-oriented development, understanding post-purchase satisfaction and its driving factors becomes imperative.
Chaoxi Liang, Qingtao Yang, Hongyuan Sun, Xiaoming Ma   +3 more
doaj   +1 more source

Intelligent Data Reduction for IoT: A Context-Driven Framework

IEEE Access
The exponential growth of the Internet of Things (IoT) has resulted in significant data production, characterized by the continuous collection and transmission of data from interconnected devices and sensors to Internet-based storage and processing ...
Laercio Pioli, Douglas D. J. De Macedo, Daniel G. Costa, Mario A. R. Dantas   +3 more
doaj   +1 more source

Boosting Computational Effectiveness in Big Spatial Flow Data Analysis with Intelligent Data Reduction

ISPRS International Journal of Geo-Information, 2020
One of the enduring issues of spatial origin-destination (OD) flow data analysis is the computational inefficiency or even the impossibility to handle large datasets.
Ran Tao, Zhaoya Gong, Qiwei Ma, Jean-Claude Thill   +3 more
doaj   +1 more source

Evidence‐Informed Multidisciplinary Consensus Guidance for the Psychosocial Care of Adolescents With High‐Risk Cancer: Recommendations From the Italian Association of Pediatric Hematology and Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adolescents with high‐risk cancer face complex developmental, psychosocial, and ethical challenges that extend beyond disease‐directed treatment. Although international recommendations exist for communication, psychosocial care, pediatric palliative care, survivorship, and shared decision‐making, these have largely evolved within ...
Johanna M. C. Blom, Dorella Scarponi, Giulia Zucchetti, Teresa Perillo, Maria Montanaro, Elisa Marconi, Chiara Rutigliano, Paolo Colavero, Paola Quarello, Marina Bertolotti, Monica Cellini, Carlo Clerici, Maurizio Mascarin, Francesca Bomben, Andrea Ferrari, the expert workgroup   +15 more
wiley   +1 more source

Improving Prediction Accuracy for WSN Data Reduction by Applying Multivariate Spatio-Temporal Correlation

Sensors, 2011
This paper proposes a method based on multivariate spatial and temporal correlation to improve prediction accuracy in data reduction for Wireless Sensor Networks (WSN).
José Neuman de Souza, Danielo G. Gomes, Nazim Agoulmine, Carlos Carvalho   +3 more
doaj   +1 more source