[HTML][HTML] Precision agriculture using IoT data analytics and machine learning
In spite of the insight commonality may have concerning agrarian practice, fact is that
nowadays agricultural science diligence is accurate, precise, data-driven, and vigorous than …
nowadays agricultural science diligence is accurate, precise, data-driven, and vigorous than …
A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges
Regional climate modeling using convection‐permitting models (CPMs; horizontal grid
spacing< 4 km) emerges as a promising framework to provide more reliable climate …
spacing< 4 km) emerges as a promising framework to provide more reliable climate …
Big IoT data analytics: architecture, opportunities, and open research challenges
Voluminous amounts of data have been produced, since the past decade as the
miniaturization of Internet of things (IoT) devices increases. However, such data are not …
miniaturization of Internet of things (IoT) devices increases. However, such data are not …
Visualizing Big Data with augmented and virtual reality: challenges and research agenda
This paper provides a multi-disciplinary overview of the research issues and achievements
in the field of Big Data and its visualization techniques and tools. The main aim is to …
in the field of Big Data and its visualization techniques and tools. The main aim is to …
Optimal Symmetric Multimodal Templates and Concatenated Random Forests for Supervised Brain Tumor Segmentation (Simplified) with ANTsR
NJ Tustison, KL Shrinidhi, M Wintermark, CR Durst… - Neuroinformatics, 2015 - Springer
Segmenting and quantifying gliomas from MRI is an important task for diagnosis, planning
intervention, and for tracking tumor changes over time. However, this task is complicated by …
intervention, and for tracking tumor changes over time. However, this task is complicated by …
Big data visualization: Tools and challenges
SM Ali, N Gupta, GK Nayak… - 2016 2nd International …, 2016 - ieeexplore.ieee.org
In today's world where everything is recorded digitally, right from our web surfing patterns to
our medical records, we are generating and processing petabytes of data every day. Big …
our medical records, we are generating and processing petabytes of data every day. Big …
In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms
The considerable interest in the high performance computing (HPC) community regarding
analyzing and visualization data without first writing to disk, ie, in situ processing, is due to …
analyzing and visualization data without first writing to disk, ie, in situ processing, is due to …
Vtk-m: Accelerating the visualization toolkit for massively threaded architectures
One of the most critical challenges for high-performance computing (HPC) scientific
visualization is execution on massively threaded processors. Of the many fundamental …
visualization is execution on massively threaded processors. Of the many fundamental …
Data visualization in internet of things: tools, methodologies, and challenges
As the Internet of Things (IoT) grows rapidly, huge amounts of wireless sensor networks
emerged monitoring a wide range of infrastructure, in various domains such as healthcare …
emerged monitoring a wide range of infrastructure, in various domains such as healthcare …
MegaMol—a prototyping framework for particle-based visualization
Visualization applications nowadays not only face increasingly larger datasets, but have to
solve increasingly complex research questions. They often require more than a single …
solve increasingly complex research questions. They often require more than a single …