Results 191 to 200 of about 282,229 (301)

Disruption of Planetary Masses from the Primeval Nebula [PDF]

Science, 1881
openaire   +2 more sources

Sustainable Productivity Growth in Agriculture: The Role of Shifts in R&D Investments and Technology

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The objective of the paper is to evaluate the long‐term prospects of sustainable productivity growth linked to plausible assumptions on public agricultural R&D investments as the key productivity driver. Second, it investigates the role of changing R&D focus from yield maximization to input saving technologies (fertilizers and pesticides). The
Zuzana Smeets Křístková, Michiel van Dijk, Robert M'Barek, Hans van Meijl, Tomas Ratinger   +4 more
wiley   +1 more source

Development of a high-speed planetary gearbox for an electric vehicle. [PDF]

Sci Rep
Zagirnyak M, Drahobetskyi V, Salenko Y, Kulynych V, Moloshtan D, Szczęsny A, Korzeniewska E.   +6 more
europepmc   +1 more source

Estimating Planetary Mass with Deep Learning

Estimating Planetary Mass with Deep Learning
Accepted: 2019-11-24 資料番号 ...
openaire  

Erosion of granular sediments by submerged impinging jets: Particle size effects and cohesion onset

AIChE Journal, EarlyView.
Abstract This study investigates the erosion behavior and modeling of glass particle beds under impinging jet conditions, with a focus on particle size effects and the onset of cohesion. Ultrasonic profiling is implemented to scan and measure static crater profiles.
Ahmad Mohamadiyeh, Jeffrey Peakall, Michael Fairweather, Martyn Barnes, Timothy N. Hunter   +4 more
wiley   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Toward "Safe" Chemicals and Materials on Mars: Knowledge Gaps for Expanding Planetary Protection Requirements. [PDF]

Environ Sci Technol
Hader JD, Fairén AG, Ågerstrand M, MacLeod M, Nowack B.   +4 more
europepmc   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Prospective entry criteria for newly named acupoints: A conceptual framework. [PDF]

Integr Med Res
Lee IS, Chae Y.
europepmc   +1 more source

Enabling Metal‐Based Soft Robotics Through Investment Casting

Advanced Intelligent Systems, EarlyView.
Vacuum investment casting enables manufacturing of compliant soft robotic structures out of AA7075 high‐strength aluminum alloy. Additively manufactured patterns are converted into metal soft robotic structures addressing long lasting challenges like durability and nonlinearity of elastomer‐based soft robotics.
Felix Pancheri, Tim C. Lueth, Yilun Sun
wiley   +1 more source