Results 201 to 210 of about 202,833 (274)

The Coalescing-Branching Random Walk on Expanders and the Dual Epidemic Process [PDF]

, 2016
Colin Cooper, Tomasz Radzik, Nicolás Rivera   +2 more
openalex   +1 more source

Generalized optimization framework for synthesis of thermally coupled distillation columns

AIChE Journal, Volume 71, Issue 6, June 2025.
Abstract In this article, a generalized optimization framework is proposed for the synthesis of thermally coupled distillation systems within an equation‐oriented environment. The proposed framework consists of three components: an efficient superstructure representation, a novel mathematical formulation, and the associated solution algorithm ...
Chao Liu, Yingjie Ma, Jie Li
wiley   +1 more source

A model-based factorization method for scRNA data unveils bifurcating transcriptional modules underlying cell fate determination. [PDF]

Elife
Ren J, Zhou Y, Hu Y, Yang J, Fang H, Lyu X, Guo J, Shi X, Li Q.   +8 more
europepmc   +1 more source

Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness

Advanced Intelligent Discovery, EarlyView.
Herein, high‐performance generative adversarial network (GAN), named ‘Microstructure‐GAN’, is demonstrated. After training, the high‐fidelity, feature‐rich micrographs can be predicted for an arbitrary target hardness. Microstructure details such as small pores and grain boundaries can be observed at the nanometer scale in the predicted 1000 ...
Xiao Geng, Jianan Tang, Ningxuan Wen, Jason Shaw, Siddhartha Sarkar, Lionel Vargas‐Gonzalez, Nicholas Ku, Jianhua Tong, Rajendra K. Bordia, Dongsheng Li, Fei Peng   +10 more
wiley   +1 more source

Learning meaningful representation of single-neuron morphology via large-scale pre-training. [PDF]

Bioinformatics
Fan Y, Li Y, Zhong Y, Hong L, Li L, Li Y.   +5 more
europepmc   +1 more source

Unraveling Multimodal Brain Signatures: Deciphering Transdiagnostic Dimensions of Psychopathology in Adolescents

Advanced Intelligent Systems, EarlyView.
This study, utilizing two large‐cohort datasets, employs interpretable neural networks. It demonstrates that incorporating brain morphology and functional and structural networks enhances predictive accuracy for general psychopathology and its dimensions.
Jing Xia, Nanguang Chen, Anqi Qiu
wiley   +1 more source

Exploring Biodiversity through the Lens of Knautia arvensis Pollinators: Knautia Pollinator Walks as a Monitoring Method. [PDF]

Insects
Franzén M, Stenmark M.
europepmc   +1 more source

Harnessing Deep Learning of Point Clouds for Morphology Mimicking of Universal 3D Shape‐Morphing Devices

Advanced Intelligent Systems, EarlyView.
Soft robots capable of morphing into various 3D shapes are crucial for applications like human‐machine interfaces and biological manipulation. However, controlling 3D shape‐morphing robots with soft actuators remains a challenge. This work introduces a machine learning model that maps complex 3D deformations to control inputs, enabling robots to mimic ...
Jue Wang, Dhirodaatto Sarkar, Jiaqi Suo, Alex Chortos   +3 more
wiley   +1 more source

Heterogeneous network approaches to protein pathway prediction. [PDF]

Comput Struct Biotechnol J
Nayar G, Altman RB.
europepmc   +1 more source

Machine Learning‐Driven Extraction of Hybrid Compact Models Integrating Neural Networks and Berkeley Short‐Channel Insulated‐Gate Field‐Effect Transistor Model‐Common Multigate for Multidevice Applications

Advanced Intelligent Systems, EarlyView.
This research presents a machine learning approach integrating Berkeley short‐channel IGFET model‐common multigate models with an error‐correction neural network to expedite accurate compact model generation for semiconductor devices. Utilizing a hypernetwork, the method eliminates time‐consuming and laborsome parameter tuning and allows simultaneous ...
Seungjoon Eom, Seunghwan Lee, Hyeok Yun, Kyeongrae Cho, Soomin Kim, Rockhyun Baek   +5 more
wiley   +1 more source