Results 181 to 190 of about 403,791 (331)
The study of Physical characteristics of agricultural materials is necessary for the design of processes and machines for food production. Length, width, thickness, sphericity, unit mass, and aspect ratio were the physical characteristics of ultrasound pretreated Dialium guineense whole fruits subjected to Neural network modeling.
Mfrekemfon Akpan +2 more
wiley +1 more source
Biological effects 26 years after simulated deep-sea mining. [PDF]
Simon-Lledó E +6 more
europepmc +1 more source
Open-Source Marine Biodiversity Data Quality in the Norwegian Sea Spanning 149 Years: Knowledge Gaps in the Deep-Sea Mining Opening Area. [PDF]
Paiba-García LC +3 more
europepmc +1 more source
Abstract World markets for quality differentiated agri‐food products are highly competitive, presenting significant challenges for firms aiming to compete effectively. Government agencies and business organizations often implement various export promotion policies to address these challenges.
Nicolás Depetris‐Chauvin +1 more
wiley +1 more source
Deep-sea mining and its risks for social-ecological systems: Insights from simulation-based analyses. [PDF]
Alam L +3 more
europepmc +1 more source
A strategy for the conservation of biodiversity on mid-ocean ridges from deep-sea mining. [PDF]
Dunn DC +17 more
europepmc +1 more source
Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren +6 more
wiley +1 more source
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
Deep-sea mining rock-fragment dispersal scenarios associated with submesoscale forcings: A case study in the Atlantic. [PDF]
Amorim FN +3 more
europepmc +1 more source

