Results 21 to 30 of about 55,120 (264)

Multiple scenario profiling to improve power integrity analysis coverage

Dianzi Jishu Yingyong, 2018
The ultra-high transistor density and increasing frequency lead to more critical power integrity issues. Vector-dependent simulation based on FSDB generates more accurate analysis. It’s not practical to simulate full chip through the simulation cycle, it
Xu Huimin, Zhu Weiwei, Shi Jian′an
doaj   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

Rethinking the use of deep learning methods for photovoltaic power forecasting

Nature Communications
Accurate photovoltaic power forecasting is critical for grid stability, but remains challenged by weather uncertainties and difficulty integrating historical observations with forward-looking forecasts.
Yujia Zhang, Yuzhou Zhang, Zhixiang Dai, Rita Zhang   +3 more
doaj   +1 more source

The NVIDIA AI City Challenge

2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2017
Web image analysis has witnessed an AI renaissance. The ILSVRC benchmark has been instrumental in providing a corpus and standardized evaluation. The NVIDIA AI City Challenge is envisioned to provide similar impetus to the analysis of image and video data that helps make cities smarter and safer. In its first year, this Challenge has focused on traffic
Milind Naphade, David C. Anastasiu, Anuj Sharma 0001, Vamsi Jagrlamudi, Hyeran Jeon, Kaikai Liu, Ming-Ching Chang, Siwei Lyu, Jerry Zeyu Gao   +8 more
openaire   +3 more sources

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales

Journal of Advances in Modeling Earth Systems
Data assimilation of observations into full atmospheric states is essential for weather forecast model initialization. Recently, methods for deep generative data assimilation have been proposed which allow for using new input data without retraining the ...
Peter Manshausen, Yair Cohen, Peter Harrington, Jaideep Pathak, Mike Pritchard, Piyush Garg, Morteza Mardani, Karthik Kashinath, Simon Byrne, Noah Brenowitz   +9 more
doaj   +1 more source

Tomographic Printing in a Chip: A Versatile Platform for Biomimetic 3D Organ‐on‐Chip

Advanced Healthcare Materials, EarlyView.
A novel light‐based bioprinting approach, TVAM‐in‐a‐chip, enables rapid, contactless fabrication of biomimetic 3D organ‐on‐chip devices directly within preassembled microfluidic platforms. This strategy supports diverse materials, including cell‐laden resins, and eliminates post‐assembly steps.
Riccardo Rizzo, Viola Sgarminato, Felix Wechsler, Christophe Moser   +3 more
wiley   +1 more source

DeepSAP: improved RNA-seq alignment by integrating transcriptome guidance with transformer-based splice junction scoring

Genome Biology
Advancements in high-throughput sequencing have revolutionized transcriptomics, enabling insights into gene expression, splicing, and fusions. However, RNA-seq analysis remains challenging due to complex splice junctions, multi-mapped reads, and chimeric
Fadel Berakdar, Thomas D. Wu, Tong Zhu, Mehrzad Samadi, Pankaj Vats   +4 more
doaj   +1 more source

A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming [PDF]

Electronic Proceedings in Theoretical Computer Science, 2019
Recent successes of Reinforcement Learning (RL) allow an agent to learn policies that surpass human experts but suffers from being time-hungry and data-hungry.
Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson   +3 more
doaj   +1 more source

De Novo Autogenic Engineered Living Functional Materials

Advanced Materials, EarlyView.
A versatile platform for de novo autogenic engineered living materials is presented, leveraging protein mining, computational modeling, and synthetic biology. By reprogramming the Escherichia coli curli machinery with β‐solenoid proteins from non‐model bacteria, macroscopic biomaterials with enhanced mechanical properties, UV‐C irradiation protection ...
Hoda M. Hammad, Seth Swarnadeep, Erin C. Jackson, Nicolas Burns, Hongyu Wang, Harrison Priode, Robert B. Moore, Sanket Deshmukh, Avinash Manjula‐Basavanna, Anna M. Duraj‐Thatte   +9 more
wiley   +1 more source