Results 221 to 230 of about 65,676 (304)

Optimal reactive operation of general topology supply chain and manufacturing networks under disruptions

open access: yesAIChE Journal, EarlyView.
Abstract Supply and manufacturing networks in the chemical industry involve diverse processing steps across different locations, rendering their operation vulnerable to disruptions from unplanned events. Optimal responses should consider factors such as product allocation, delayed shipments, and price renegotiation, among other factors. In such context,
Daniel Ovalle   +6 more
wiley   +1 more source

Impact of fed-batch process intensification on the productivity and product quality of two CHO cell lines expressing unique novel molecular format proteins. [PDF]

open access: yesBioprocess Biosyst Eng
Wolnick NQ   +16 more
europepmc   +1 more source

ROBUST ADAPTIVE CONTROL OF YEAST FED-BATCH CULTURES

open access: bronze, 2006
F. Renard   +2 more
openalex   +1 more source

Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen   +4 more
wiley   +1 more source

Control of High-Solids Saccharification using a Model-Based Methodology for Fed-Batch Operation

open access: bronze, 2006
David B. Hodge   +3 more
openalex   +1 more source

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

open access: yesAdvanced 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

Deep Learning‐Coupled Metabolic Heat Integrated Sensing System for Noninvasive Continuous Monitoring of Blood Glucose

open access: yesAdvanced Intelligent Systems, EarlyView.
A portable, wearable device based on metabolic heat integrated sensing and deep learning enables continuous blood glucose (BG) monitoring. The system uses a gate recurrent unit model for real‐time BG prediction, achieving accuracy comparable to commercial noninvasive meters.
Haolin Wang   +12 more
wiley   +1 more source

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