Proceedings of Data Analytics and Management ICDAM 2023, Volume 2 /

Xehetasun bibliografikoak
Erakunde egilea:	SpringerLink (Online service)
Beste egile batzuk:	Swaroop, Abhishek (Argitaratzailea), Polkowski, Zdzislaw (Argitaratzailea), Correia, Sérgio Duarte (Argitaratzailea), Virdee, Bal (Argitaratzailea)
Gaia:	XXVII, 665 p. 298 illus., 254 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, 786
Gaiak:	Computational intelligence. Telecommunication. Quantitative research. Data protection. Computational Intelligence. Communications Engineering, Networks. Data Analysis and Big Data. Data and Information Security.
Sarrera elektronikoa:	https://doi.org/10.1007/978-981-99-6547-2
Formatua:	Baliabide elektronikoa Liburua

Aurkibidea:

Chapter 1: Sentiment Classification on Suicide Notes Using Bi-LSTM Model
Chapter 2: Machine Learning based Blind Image Quality Assessment: A Review
Chapter 3: Analysis Of Block Chain Technology Iot And Rpa In Supply Chain Management
Chapter 4: Sentiment hotspots extraction in large text documents using neutrosophic sets
Chapter 5: Peak Hour Demand Prediction for Sharing Bikes: A Comparative Analysis of Performances of Machine Learning Models
Chapter 6: Prediction Based Analysis of Die-sel Prices using Naïve Bayes Classifier Model
Chapter 7: Abnormality detection in smart-phone captured chest radiograph using multi-pretrained models
Chapter 8: Offensive Tweets Detection In Hinglish Using HingBERT
Chapter 9: Unlocking the Potential of Mobile Computing for Infusing Computational Thinking Using Social Cognitive Approach in Higher Education Institutes
Chapter 10: Deep Learning Applications in Thermal IR Image Processing. etc.

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