1.

Record Nr.

UNISA996418252703316

Titolo

Embracing Industry 4.0 [[electronic resource] ] : Selected Articles from MUCET 2019 / / edited by Mohd Azraai Mohd Razman, Jessnor Arif Mat Jizat, Nafrizuan Mat Yahya, Hyun Myung, Amar Faiz Zainal Abidin, Mohamad Shaiful Abdul Karim

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020

ISBN

981-15-6025-0

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (IX, 289 p. 160 illus., 140 illus. in color.)

Collana

Lecture Notes in Electrical Engineering, , 1876-1100 ; ; 678

Disciplina

006.31

Soggetti

Machine learning

Computational intelligence

Computer engineering

Internet of things

Embedded computer systems

Optical data processing

Wireless communication systems

Mobile communication systems

Signal processing

Image processing

Speech processing systems

Machine Learning

Computational Intelligence

Cyber-physical systems, IoT

Image Processing and Computer Vision

Wireless and Mobile Communication

Signal, Image and Speech Processing

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

An Adaptive Self-Assessment Model for Improving Student Performance in Language Learning using Massive Open Online Course (MOOC) -- Assessment on Average Participation Versus Bialek’s Methods for



Transmission Usage Evaluation Scheme -- Field-effect Transistor-based Biosensor Optimization: Single Versus Array Silicon Nanowires Configuration -- Top-Down Fabrication of Silicon Nanogap for Detection of Dengue Virus (DENV) -- Design and Performance Analysis of IoT Based Sensor System using LoRa -- A PSPT-MAC mechanism for congestion avoidance in Wireless Body Area Network -- A Planar Slotted RCS based UWB RFID Tag on A PCB and A Flexible Substrate for Packaging Application -- Design and Analysis of Automated Inspection System for Relays Fault Detection -- Visible Light Communication-Based Indoor Notification System for Blind People.

Sommario/riassunto

This book highlights selected articles from the electrical engineering track, with a focus on the latest trends in electrical and electronic engineering toward embracing Industry 4.0, as part of the Malaysian Technical Universities Conference on Engineering and Technology—MUCET 2019. The event brings together researchers and professionals in the fields of engineering, research, and technology, and provides a platform for future collaborations and exchanges.

2.

Record Nr.

UNINA9910644268403321

Autore

Lorig Fabian

Titolo

Multi-Agent-Based Simulation XXIII : 23rd International Workshop, MABS 2022, Virtual Event, May 8–9, 2022, Revised Selected Papers / / edited by Fabian Lorig, Emma Norling

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023

ISBN

9783031229473

3031229479

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (157 pages)

Collana

Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 13743

Disciplina

003.3

003.363

Soggetti

Artificial intelligence

Social sciences - Data processing

Application software

Education - Data processing

Computer networks

Artificial Intelligence

Computer Application in Social and Behavioral Sciences

Computer and Information Systems Applications

Computers and Education

Computer Communication Networks



Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Land use management using Multi-Agent Based Simulation in a watershed in south of the Brazil -- Replacing Method for Multi-Agent Crowd Simulation by Convolutional Neural Network -- An agent-based model of horizontal mergers -- The influence of national culture on evacuation response behaviour and time: An agent-based approach -- Simulating Work Teams using MBTI agents -- Reconsidering an Agent-Based Model of Food Web Evolution -- Surrogate Modeling of Agent-based Airport Terminal Operations -- School's Out? Simulating Schooling Strategies During COVID-19 -- Generating Explanatory Saliency Maps for Mixed Traffic Flow using a Behaviour Cloning Model -- Challenges for Multi-Agent Based Agricultural Workforce Management -- Agents dealing with Norms and Regulations.

Sommario/riassunto

This book constitutes the thoroughly refereed and revised selected papers from the 22nd International Workshop on Multi-Agent-Based Simulation, MABS 2022, which took place virtually during May 8–9, 2022. The conference was originally planned to take place in Auckland, New Zealand, but had to change to an online format due to the COVID-19 pandemic. The 11 papers included in these proceedings were carefully reviewed and selected from 17 submissions. They focus on finding efficient solutions to model complex social systems, in areas such as economics, management, organisational and social sciences in general.