Artificial Intelligence and Sustainable Computing Proceedings of ICSISCET 2021 /

Artificial Intelligence and Sustainable Computing Proceedings of ICSISCET 2021 /

Xehetasun bibliografikoak
Erakunde egilea: SpringerLink (Online service)
Beste egile batzuk: Pandit, Manjaree (Argitaratzailea), Gaur, M. K. (Argitaratzailea), Rana, Prashant Singh (Argitaratzailea), Tiwari, Akhilesh (Argitaratzailea)
Gaia:XXI, 763 p. 423 illus., 277 illus. in color.
text
Hizkuntza:ingelesa
Argitaratua: Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
Edizioa:1st ed. 2022.
Saila:Algorithms for Intelligent Systems,
Gaiak:
Computational intelligence.
Embedded computer systems.
Internet of things.
Machine learning.
Computational Intelligence.
Embedded Systems.
Internet of Things.
Machine Learning.
Sarrera elektronikoa:https://doi.org/10.1007/978-981-19-1653-3
Formatua: Baliabide elektronikoa Liburua
Aurkibidea:
  • Demand based Land Suitability Prediction Model for Sustainable Agriculture
  • Power Generation Forecasting of Wind Farms using Machine Learning Algorithms
  • Music Recommendation System Based on Emotion Detection
  • Service Analytics on ITSM Processes using Time Series
  • Comparative Analysis of Color-based Segmentation Methods Used for Smartphone Camera Captured Fingerphotos
  • Prediction of Heart Disease through KNN, Random Forest and Decision Tree Classifier using K-Fold Cross Validation
  • Distance Matrix Generation for Dynamic Vehicle Routing Optimization in Transport Fleets Management
  • Enhancing Weighted Support Vector Machine for Noise Classification
  • Optimized Hysteresis Region Authenticated Handover for 5G HetNets
  • Performance Improvement of CTNR Protocol in Wireless Sensor Network Using Machine Learning.

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