Results 51 to 60 of about 234,523 (279)

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

Design Space Exploration in Cyber-Physical Systems [PDF]

open access: yes, 2019
Cyber physical systems (CPS) integrate a variety of engineering areas such as control, mechanical and computer engineering in a holistic design effort.
Amir, Maral
core  

The Impact of Operators' Performance in the Reliability of Cyber-Physical Power Distribution Systems

open access: yes, 2016
Cyber-Physical Systems are the result of integrating information and communication technologies into physical systems. One particular case are Cyber-Physical Power Systems (CPPS), which use communication technologies to perform real-time monitoring and ...
Bessani, Michel   +3 more
core   +1 more source

Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley   +1 more source

Monetization of Services Provided by Public Fog Nodes Using Blockchain and Smart Contracts

open access: yesIEEE Access, 2020
Public fog nodes can be deployed in public places closer to the edge where many personal and commercial devices (e.g., a sensor, an application, or a device) can connect to.
Mazin Debe   +3 more
doaj   +1 more source

Harmonics Constrained Approach to Composite Power System Expansion Planning with Large-Scale Renewable Energy Sources

open access: yesEnergies, 2022
Renewable energy sources (RES) are becoming more attractive due to the global demand for the utilization of clean energy and their easy accessibility. The integration of renewable energy technologies into power systems has been made easy, such that RES ...
Saheed Lekan Gbadamosi   +2 more
doaj   +1 more source

Medical Cyber-Physical Systems Development: A Forensics-Driven Approach

open access: yes, 2017
The synthesis of technology and the medical industry has partly contributed to the increasing interest in Medical Cyber-Physical Systems (MCPS). While these systems provide benefits to patients and professionals, they also introduce new attack vectors ...
Choo, Kim-Kwang Raymond   +2 more
core   +1 more source

Accountability for Cyber-Physical Systems. [PDF]

open access: yes, 2022
The core problem is that there is no single universally accepted definition of accountability; but there exist many different definitions that are suitable in different situations. We offer a method to model accountability definitions for CPS and show how that method can be used to assess the accountability of CPS, understand trade-offs in the system ...
openaire   +1 more source

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

open access: yesAdvanced Intelligent Discovery, EarlyView.
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley   +1 more source

EMG‐Driven Telemetry and Inference System for Fish: Pose Reconstruction and Flow Sensing

open access: yesAdvanced Intelligent Systems, EarlyView.
This work introduces an electromyography (EMG)‐driven telemetry framework that reconstructs body pose and infers hydrodynamic conditions in freely swimming fish. A custom 16‐channel archival system records intramuscular EMG, enabling deep‐learning models to decode joint kinematics, classify flow regimes, and reveal channel‐efficient sensing strategies.
Rahdar Hussain Afridi   +7 more
wiley   +1 more source

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