Results 61 to 70 of about 11,231,484 (245)

Intelligent process automation and its relevance to various industries

Intelligent process automation represents a significant leap forward in the integration of artificial intelligence and robotic process automation to streamline and enhance various business operations.
Park, Jin Yong, Kandasamy, R., Thangam, D., Patil, Shashikala, K. A., Pavan, Chikkandar, R.   +5 more
core   +1 more source

Research progress of automation and digitalization in brewing process of Baijiu [PDF]

Zhongguo niangzao
Baijiu is a unique distilled spirit in China. Its complex and distinctive brewing process has given rise to different style characteristics. Against the backdrop of industrial intelligence, traditional Baijiu brewing is also confronted with both ...
YU Zihan, LI Qingliang, LU Yanxiang, LI Jianxun, ZHANG Jing, ZHOU Die, REN Xintong, FEI Wangwang, CHEN Peng
doaj   +1 more source

Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling, Ties van het Erve, Yvette van de Berg, Simon Mastbergen, Julia Spierings   +4 more
wiley   +1 more source

Life cycle assessment of converting waste plastics into activated carbon: A comparative analysis of HDPE, LDPE, PS, and PP feedstocks

Cleaner Environmental Systems
Activated carbon (AC) is an important adsorbent for environmental treatment; however, the traditional method of production is energy-consuming and chemical-intensive. AC from valorized post-consumer plastics is a promising waste-to-resource route.
Anuchit Wuttitrairat, Soottiwan Thamsakon, Wachira Daosud, Paisan Kittisupakorn   +3 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Improving work automation with an accessible business process analyzer

, 2021
LAUREA MAGISTRALEL'uso del Process Mining sta crescendo progressivamente, mentre sempre più compagnie riconoscono il suo potenziale. Lo studio e il controllo di processi di business può infatti essere estremamente importante per migliorare l ...
Marabelli, Michele
core  

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Integrating Intelligent Process Automation With Human Resource Management for Enhancing Efficiency and Strategic Decision-Making [PDF]

The integration of intelligent process automation (IPA) into diverse corporate processes has brought about a revolution in productivity and efficiency across industries as it continues to evolve. The vital role that human resources management (HRM) plays
Kalyani, Velusamy, Vimala, Govindaraju, Sathis Kumar, Ganesan   +2 more
core   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source