1.

Record Nr.

UNISA996465973103316

Titolo

Modeling Decisions for Artificial Intelligence [[electronic resource] ] : 13th International Conference, MDAI 2016, Sant Julià de Lòria, Andorra, September 19-21, 2016. Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Guillermo Navarro-Arribas, Cristina Yañez

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016

ISBN

3-319-45656-3

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (XIII, 314 p. 68 illus.)

Collana

Lecture Notes in Artificial Intelligence ; ; 9880

Disciplina

004

Soggetti

Artificial intelligence

Pattern recognition

Data mining

Application software

Information storage and retrieval

Numerical analysis

Artificial Intelligence

Pattern Recognition

Data Mining and Knowledge Discovery

Information Systems Applications (incl. Internet)

Information Storage and Retrieval

Numeric Computing

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Decision making -- Information fusion -- Social networks -- Data mining -- Applications to data science and privacy technologies -- Applications to real world problems.

Sommario/riassunto

This book constitutes the proceedings of the 13th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2016, held in Sant Julià de Lòria, Andorra, in September 2016. The 22 revised full papers presented together with three invited talks were carefully reviewed and selected from 36 submissions. Providing a



forum for researchers to discuss models for decision and information fusion (aggregation operators) and their applications to AI, the papers address topics such as decision making, information fusion, social networks, data mining, and related subjects. Applications to data science and privacy technologies, as well as to real world problems are also discussed.

2.

Record Nr.

UNINA9910983340603321

Autore

Bradford Phillip G

Titolo

Proceedings of IEMTRONICS 2024 : International IoT, Electronics and Mechatronics Conference, Volume 2 / / edited by Phillip G. Bradford, S. Andrew Gadsden, Shiban K. Koul, Kamakhya Prasad Ghatak

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025

ISBN

9789819747849

9819747848

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (647 pages)

Collana

Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 1228

Altri autori (Persone)

GadsdenS. Andrew

KoulShiban K

GhatakKamakhya Prasad

Disciplina

004.678

Soggetti

Internet of things

Telecommunication

Electric power production

Internet of Things

Communications Engineering, Networks

Electrical Power Engineering

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Chapter 1; AI Algorithms for Dynamic Bandwidth Management in Wireless Networks -- Chapter 2 : Comparative Analysis of Convolutional Neural Network-Based Counterfeit Detection: Keras vs. Pytorch -- Chapter 3 :Stock Price Prediction Using Sentiment Based LSTM: S&P500 Vs Reddit Posts -- Chapter 4 :Size-Adaptive Convolutional Neural Network with Parameterized-Swish Activation for



Enhanced Object Detection -- Chapter 5:Robo-CSK-Organizer: Commonsense Knowledge to Organize Detected Objects for Multipurpose Robots -- Chapter 6: Design of variable-radius kinematic metastructures for the control of belt drive transmission ratios -- Chapter 7 : Detection of Watermarks in Digital Images Using Filter Techniques and Convolutional Neural Networks -- chapter 8: RPL Attack Detection in IoT Environments: An Ensemble Approach -- chapter 9: An Imaginative Inquiry into a Quaternary Interpretation of Quantum Dynamics & Its Technological Implications -- Chater 10: A Fourfold Quantum-Based Source of EnergyAn Ideal Pulsed Electromagnetic Field Device Based on A Multidimensional Model of Light -- Chapter 11: Supercapacitor-Based Power Supply for Embedded System Applications -- Chapter 12: Enhancing Power Allocation in MIMO-OFDM Systems: Latest Approaches and Algorithms -- chapter 13: Structure of control computing facilities of data transmission networks and features of dispatch algorithm programs -- Chapter 14: Data Allocation and Replication Strategies in Edge Computing -- Chapter 15: An IoT-Based Mobile Air Pollution Monitoring SystemIoT Machine Learning Based Health Compliance Monitoring System.

Sommario/riassunto

This book gathers selected research papers presented at IEMTRONICS 2024 (International IoT, Electronics and Mechatronics Conference), held during 3–5 April 2024 in London, United Kingdom in hybrid mode. This book presents a collection of state-of-the-art research work involving cutting-edge technologies in the field of IoT, electronics mechatronics, and related areas. The work is presented in two volumes.