Design optimization of the soil nail wall-retaining pile-anchor cable supporting system in a large-scale deep foundation pit
Sign Up to like & getrecommendations! Published in 2021 at "Acta Geotechnica"
DOI: 10.1007/s11440-021-01154-4
Abstract: In the recent times, many studies have been devoted toward rectangular excavations but only a few studies have considered the “corner effect” in the optimized design of soil nail wall-retaining pile-anchor cable supporting systems, especially… read more here.
Keywords: retaining pile; foundation; large scale; scale deep ... See more keywords
Recent Advancements in Planning and Reliability Aspects of Large-Scale Deep Sea Offshore Wind Power Plants: A Review
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2024.3524446
Abstract: The transition towards renewable energy sources has propelled the rapid expansion of offshore wind power, with large-scale deep offshore wind power plants (OWPPs) emerging as a promising solution to meet escalating energy demands while mitigating… read more here.
Keywords: power plants; offshore wind; wind power; scale deep ... See more keywords
MSDIPN: Multi-Scale Deep Interval Prediction Network for Multivariate Time Series
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2025.3579406
Abstract: Interval prediction is crucial in decision-making processes across many domains. Although significant progress has been made in existing interval prediction methods, they still face several challenges, such as assumptions about data distribution, fixed interval widths,… read more here.
Keywords: interval prediction; scale deep; multi scale; prediction ... See more keywords
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2017.2744718
Abstract: While deep learning models have achieved state-of-the-art accuracies for many prediction tasks, understanding these models remains a challenge. Despite the recent interest in developing visual tools to help users interpret deep learning models, the complexity… read more here.
Keywords: deep neural; network models; industry; scale deep ... See more keywords
Tailoring the HHx monomer content of P(HB-co-HHx) by flexible substrate compositions: scale-up from deep-well-plates to laboratory bioreactor cultivations
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Bioengineering and Biotechnology"
DOI: 10.3389/fbioe.2023.1081072
Abstract: The enhanced material properties exhibited by the microbially synthetized polyhydroxyalkanoate (PHA) copolymer poly(hydroxybutyrate-co-hydroxyhexanoate) [P(HB-co-HHx)] evidence that this naturally biodegrading biopolymer could replace various functionalities of established petrochemical plastics. In fact, the thermal processability, toughness and… read more here.
Keywords: scale deep; well plates; bioreactor cultivations; hhx ... See more keywords
Spectroscopic photoacoustic/ultrasound/optical-microscopic multimodal intrarectal endoscopy for detection of centimeter-scale deep lesions
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Bioengineering and Biotechnology"
DOI: 10.3389/fbioe.2023.1136005
Abstract: The inadequacy of existing colorectal imaging tools has significantly obstructed the efficient detection of colorectal cancer. To address this issue, this work presents the cross-scale endoscopic imaging of rectal tumors with a combined photoacoustic/ultrasound tomography… read more here.
Keywords: system; scale; scale deep; detection ... See more keywords
Physics-Informed Weighting Multi-Scale Deep Learning Inversion for Deep-Seated Fault Feature Identification: A Case Study of Aeromagnetic Data in the Dandong Region
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app152212323
Abstract: Magnetic inversion through three-dimensional (3D) susceptibility reconstruction can effectively identify the deep extension characteristics and structural variations in faults. Therefore, the reliability of inversion results from magnetic anomaly data is a key issue that must… read more here.
Keywords: deep learning; physics informed; scale deep; multi scale ... See more keywords
Displacement Analyses of Diaphragm Wall in Small-Scale Deep Excavation Considering Joints between Panels
Sign Up to like & getrecommendations! Published in 2024 at "Buildings"
DOI: 10.3390/buildings14051449
Abstract: This paper proposed a new method for modelling joints, using anisotropic plate elements and elastic bar elements to address the issue that joints between panels are usually disregarded in numerical modelling. For small-scale deep excavations,… read more here.
Keywords: diaphragm wall; small scale; excavation; scale deep ... See more keywords