Machine Intelligence for Research and Innovations Proceedings of MAiTRI 2023, Volume 2 /

Xehetasun bibliografikoak
Erakunde egilea:	SpringerLink (Online service)
Beste egile batzuk:	Verma, Om Prakash (Argitaratzailea), Wang, Lipo (Argitaratzailea), Kumar, Rajesh (Argitaratzailea), Yadav, Anupam (Argitaratzailea)
Gaia:	XVII, 343 p. 161 illus., 136 illus. in color. text
Hizkuntza:	ingelesa
Argitaratua:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edizioa:	1st ed. 2024.
Saila:	Lecture Notes in Networks and Systems, 831
Gaiak:	Computational intelligence. Artificial intelligence. Natural language processing (Computer science). Image processing > Digital techniques. Computer vision. Machine learning. Computational Intelligence. Artificial Intelligence. Natural Language Processing (NLP). Computer Imaging, Vision, Pattern Recognition and Graphics. Machine Learning.
Sarrera elektronikoa:	https://doi.org/10.1007/978-981-99-8135-9
Formatua:	Baliabide elektronikoa Liburua

Aurkibidea:

1. Energy Management System for EV with Multiple Energy Sources
2. Comparative Study of Hybrid/Enhanced Nature Inspired Optimization Algorithms for Solar Photovoltaic Model
3. A Study on Kerberos and Graphical Password based Web Authentication Scheme
4. Unsupervised Clustering of Asphalt Pavement Conditions using Fuzzy C-Means Algorithm with Principal Component Analysis Aided imensionality Reduction
5. Prediction of Heart Disease Risk in Early Ages with Boosting Techniques
6. Approach on Machine Learning Techniques for Anomaly-Based Web Intrusion Detection Systems: Using CICIDS2017 Dataset
7. Design and Development of a Charcoal-Based Sensor for Enhanced Soil Analysis in Precision Agriculture.

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