Results 171 to 180 of about 65,533 (299)
Tutkimuksen tavoitteena on ollut kartoittaa millä tavoin voidaan logistiikkayrityksen keräilyn tehokkuutta lisätä puheohjatun keräilyn avulla sekä pyrkiä ennustamaan kuinka suuria tehokkuuden muutoksia puheohjatun keräilynavulla voidaan saavuttaa ...
Heiskanen, Miikka Kullervo
core
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Optimizing Robotic Mobile Fulfillment Systems for Order Picking Based on Deep Reinforcement Learning. [PDF]
Zhu Z, Wang S, Wang T.
europepmc +1 more source
Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns
Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer +6 more
wiley +1 more source
Batching in Bucket Brigade Order Picking
Order picking is the most labor cost consuming element in warehouse operations. In this paper, we consider an order picking process in a single picking aisle in the forward pick area, consisting of multiple locations (pick faces).
Hanany, Eran +2 more
core
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Assessment of Order Picking Technologies in Picker-to-parts Order Picking Systems: An MCDM Approach
This thesis evaluates the available order picking technologies and their level of automation based on performance criteria in picker-to-parts order picking systems. To evaluate these technologies a group MCDM approach was used to include experts knowledge and to deliver a ranked list.
openaire +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula +10 more
wiley +1 more source

