8.1 Introduction In order to provide a complete story on deep-water processes, the objective of this section is to discuss deep-water bottom currents and their deposits from oceanographic and sedimentological viewpoints. The domain of bottom currents has a long history of contributions on both physic...
1. Introduction In recent times, the high-risk high-reward deeper water hydrocarbon resources are growing more interest among the oil and gas majors worldwide, triggering an increase in exploration activities in these deep-water resources for the giant discoveries. Several basins in the South China...
Introduction Image dehazing is a hot topic in classic computer vision, whose goal is to restore a clean image from the input. The quality of the captured image is affected by the air particle, which absorbs the ray emitted from objects and reflects other light into the camera. We can ...
Introduction Rain is the leading cause of landslides, globally; but how much rain is needed to trigger a landslide? For decades, this seemingly simple question has resisted attempts to answer it. Recent estimates suggest that landslides occur in about 17.1% of the landmasses, and that about ...
Present study demonstrates the discriminative and predictive power of state-of-the-art deep learning approaches that have been successfully applied to the various facets of engineering in agriculture; ranging from estimation of soil moisture, water stress determination, disease detection, weed identification...
Sparkling Water GitHub repository README Developer documentation 8. Documentation Documenation Homepage The main H2O documentation is the H2O User Guide. Visit http://docs.h2o.ai for the top-level introduction to documentation on H2O projects. Generate REST API documentation To generate the REST API ...
Introduction Due to their competition with crops for water, nutrients and sunlight, weeds are a significant threat to agricultural productivity (Gharde et al.,2018; Llewellyn et al.,2016). Weed control in conservation cropping systems is reliant on the use of herbicides due to the lack of suit...
1. INTRODUCTION Recent years have witnessed the emergence of mobile devices (e.g., smart phones, digital cameras, tablets, etc.) and cloud storage services. This has led to an unprecedented growth in the number of personal photos. People are taking photos using their smart devices every day ...
As deep learning algorithms drive the progress in protein structure prediction, a lot remains to be studied at this merging superhighway of deep learning and protein structure prediction. Recent findings show that inter-residue distance prediction, a mor
1. Introduction The Underwater Acoustic Target (UAT) recognition via passive sonar could achieve the recognition task by extracting target attribute-related features from ship radiated noise. The ship radiated noise is composed of low-frequency line spectrum and medium–high frequency continuous spectrum...