Optical Detection and Modeling of Lithium Deposition on Copper Current Collectors
ABSTRACT Understanding lithium (Li) deposition on copper (Cu) substrates is essential for improving the performance and lifetime of zero–excess lithium metal batteries. In this study, Li deposition was investigated under realistic coin–cell conditions using complementary scanning electron microscopy and laser scanning microscopy. A semi–automatic image
Tjark T. K. Ingber +4 more
wiley +1 more source
Automated psychographic consumer segmentation: a text classification approach
Abstract This paper demonstrates that automated segmentation of consumers based on Self-Determination Theory (SDT) is feasible using relatively simple text classification methods. By analyzing 290 Swiss German consumer interviews across seven industries, we apply computational linguistics to identify and segment consumers according to their ...
Simone E. Griesser +2 more
openaire +1 more source
Passive Shape‐Adaptive Fluidic Interface for Enhanced Skin‐Sensor Coupling in Wearable Devices
This study presents a passive fluidic interface for wearable biosensors that adapts to static and dynamic body shape changes to maintain consistent skin contact. Flexible, fluid‐filled pouches redistribute pressure from high‐load areas to regions requiring improved contact, enhancing signal quality and comfort in a compact, low‐energy design for ...
Natalia Sanchez‐Tamayo +6 more
wiley +1 more source
Can Automated Text Classification Improve Content Analysis of Software Project Data?
Content analysis is a useful approach for analyzing unstructured software project data, but it is labor-intensive and slow. Can automated text classification (using supervised machine learning) be used to reduce the labor or improve the speed of content analysis?
Noll, John +2 more
openaire +2 more sources
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee +4 more
wiley +1 more source
Automated Classification of Public Transport Complaints via Text Mining Using LLMs and Embeddings
The proliferation of digital public service platforms and the expansion of e-government initiatives have significantly increased the volume and diversity of citizen-generated feedback.
Daniyar Rakhimzhanov +2 more
doaj +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
A Text Classification Method Based on Combination of Information Gain and Graph Clustering
Text classification has a wide range of applications such as: spam filtering, automated indexing of scientific articles, identifying the genre of documents, news monitoring, and so on.
Alireza Abdollahpouri +3 more
doaj
Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang +14 more
wiley +1 more source
A comparative analysis on using GPT and BERT for automated vulnerability scoring
Large language models and transformers such as GPT and BERT have shown great improvements in many domains including cybersecurity. A constantly increasing number of vulnerabilities necessitate automated vulnerability scoring systems.
Seyedeh Leili Mirtaheri +3 more
doaj +1 more source

