Results 151 to 160 of about 241,500 (289)

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
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

Phylogenetic clustering and rarity imply risk of local species extinction in prospective deep-sea mining areas of the Clarion-Clipperton Fracture Zone. [PDF]

Proc Biol Sci, 2020
Macheriotou L, Rigaux A, Derycke S, Vanreusel A.   +3 more
europepmc   +1 more source

Predicting High‐Resolution Spatial and Spectral Features in Mass Spectrometry Imaging with Machine Learning and Multimodal Data Fusion

Advanced Intelligent Discovery, EarlyView.
A multimodal fusion pipeline predicts high‐resolution ion distributions in imaging mass spectrometry by integrating Fourier transform ion cyclotron resonance, time‐of‐flight matrix‐assisted laser desorption/ionization, and time‐of‐flight secondary ion mass spectrometry data.
Md Inzamam Ul Haque, Ramakrishnan Kannan, Jacob D. Hinkle, Sylwia A. Stopka, Anton V. Ievlev, Nathalie Y. R. Agar, Olga S. Ovchinnikova, Debangshu Mukherjee   +7 more
wiley   +1 more source

Impacts of an industrial deep-sea mining trial on macrofaunal biodiversity. [PDF]

Nat Ecol Evol
Stewart ECD, Wiklund H, Neal L, Bribiesca-Contreras G, Drennan R, Boolukos CMB, King LD, Rabone M, Valls Domedel G, Serpell-Stevens A, Arias MB, Dahlgren TG, Horton T, Glover AG.   +13 more
europepmc   +1 more source

The United States and the Law of the Sea After UNCLOS III [PDF]

, 1983
Malone, James L.
core   +2 more sources

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Deep Sea Mining vs. Underwater Cultural Heritage

This chapter seeks to provide an overview of the legal framework surrounding the protection of UCH as a part of the Marine Environment within the context of Law of the Sea, focusing particularly on the rules regarding deep sea mining. The text seeks to analyse how such an activity may be considered compatible, or not with the protection of the marine ...
openaire   +1 more source

Dynamic Weights in Multi-Objective Deep Reinforcement Learning

, 2019
Many real-world decision problems are characterized by multiple conflicting objectives which must be balanced based on their relative importance. In the dynamic weights setting the relative importance changes over time and specialized algorithms that ...
Abels, Axel, Lenaerts, Tom, Nowé, Ann, Roijers, Diederik M., Steckelmacher, Denis   +4 more
core   +1 more source

Information Dense and Industry Scalable Accelerated Formation

Advanced Intelligent Discovery, EarlyView.
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker, Markus Blessing, Bojing Zhang, Helge Sören Stein   +3 more
wiley   +1 more source

Thorium-234 as a tracer for deep-sea mining sediment plume deposition. [PDF]

Nat Commun
O'Malley BJ, Schwing PT, Chernoch SK, Larson RA, Clarke M, Marsh LM, Lough AJM, Brooks GR.   +7 more
europepmc   +1 more source