Results 1 to 10 of about 21,161 (163)

Understanding How Intelligent Process Automation Impacts Business Continuity: Mapping IEEE/2755:2020 and ISO/22301:2019

IEEE Access, 2023
Organizations have been responding to possible disruptions in the organization and, at the same time, trying to increase customer satisfaction through digitising their processes. Thus, Intelligent Process Automation has been catching the latest trends in
Jose Cascais Bras, Ruben Filipe Pereira, Sergio Moro, Isaias Scalabrin Bianchi, Rui Ribeiro   +4 more
doaj   +3 more sources

Intelligent Process Automation and Business Continuity: Areas for Future Research

Information, 2023
Robotic process automation and intelligent process automation have gained a foothold in the automation of business processes, using blocks of software (bots).
José Brás, Ruben Pereira, Sérgio Moro
doaj   +3 more sources

AI-Enhanced Robotic Process Automation: A Review of Intelligent Automation Innovations

IEEE Access
The rapid technological growth in recent decades due to the integration of robust technologies and automation have led to the rise of digital services and the emergence of Industry 4.0.
Sadia Afrin, Shobnom Roksana, Riad Akram
doaj   +3 more sources

Prescribed Performance Fault-Tolerant Tracking Control of Uncertain Robot Manipulators with Integral Sliding Mode

Mathematics, 2023
This paper develops a fault-tolerant tracking control (FTC) for robot manipulators with prescribed performance subject to uncertainties and partial loss in effectiveness of actuators (UPEAs).
Liyin Zhang, Yinlong Hou, Hui Liu, Dafeng Tang, Long Li   +4 more
doaj   +1 more source

Recent Advances in Sensing Materials Targeting Clinical Volatile Organic Compound (VOC) Biomarkers: A Review

Biosensors, 2023
In general, volatile organic compounds (VOCs) have a high vapor pressure at room temperature (RT). It has been reported that all humans generate unique VOC profiles in their exhaled breath which can be utilized as biomarkers to diagnose disease ...
Akhilesh Kumar Pathak, Kankan Swargiary, Nuntaporn Kongsawang, Pannathorn Jitpratak, Noppasin Ajchareeyasoontorn, Jade Udomkittivorakul, Charusluk Viphavakit   +6 more
doaj   +1 more source

A Combination of Dilated Self-Attention Capsule Networks and Bidirectional Long- and Short-Term Memory Networks for Vibration Signal Denoising

Machines, 2022
As scalar neurons of traditional neural networks promote dimension reduction caused by pooling, it is a difficult task to extract the high-dimensional spatial features and long-term correlation of pure signals from the noisy vibration signal.
Youming Wang, Gongqing Cao, Jiali Han
doaj   +1 more source

Remote Sensing Small Object Detection Network Based on Attention Mechanism and Multi-Scale Feature Fusion

Remote Sensing, 2023
In remote sensing images, small objects have too few discriminative features, are easily confused with background information, and are difficult to locate, leading to a degradation in detection accuracy when using general object detection networks for ...
Junsuo Qu, Zongbing Tang, Le Zhang, Yanghai Zhang, Zhenguo Zhang   +4 more
doaj   +1 more source

Design of Supervisory Model Predictive Control for Building HVAC System With Consideration of Peak-Load Shaving and Thermal Comfort

IEEE Access, 2021
This paper proposes a design of a supervisory model predictive controller for a heating-ventilation-air-conditioning (HVAC) control system. The control objective is to minimize the operating cost and take into account of electrical load shaving and ...
Chanthawit Anuntasethakul, David Banjerdpongchai   +1 more
doaj   +1 more source

A multiscale convolution neural network for bearing fault diagnosis based on frequency division denoising under complex noise conditions

Complex & Intelligent Systems, 2022
The condition of bearings has a significant impact on the healthy operation of mechanical equipment, which leads to a tremendous attention on fault diagnosis algorithms.
Youming Wang, Gongqing Cao
doaj   +1 more source

Mathematical modelling of an electrostatic oiling machine for steel strips

Mathematical and Computer Modelling of Dynamical Systems, 2023
This paper deals with the mathematical modelling of the electrostatic spraying process in an industrial electrostatic oiling machine (EOM) for steel strips.
Julian Landauer, Andreas Kugi, Andreas Steinböck   +2 more
doaj   +1 more source