Cantitate/Preț
Produs
Total produse
Vezi coșul
Bangabandhu and Digital Bangladesh: First International Conference, ICBBDB 2021, Dhaka, Bangladesh, December 30, 2021, Revised Selected Papers de A. K. M. Muzahidul Islam

Bangabandhu and Digital Bangladesh: First International Conference, ICBBDB 2021, Dhaka, Bangladesh, December 30, 2021, Revised Selected Papers: Communications in Computer and Information Science, cartea 1550

Editat de A. K. M. Muzahidul Islam, Jia Uddin, Nafees Mansoor, Shahriar Rahman, Shah Murtaza Rashid Al Masud
en Limba Engleză Paperback – 30 sep 2022
This book constitutes selected papers presented during the First International Conference on Bangabandhu and Digital Bangladesh, ICBBDB 2021, held in Dhaka, Bangladesh, in December 2021. Due to the COVID-19 pandemic the conference was partly held online. 

The 16 papers presented were thoroughly reviewed and selected from the 90 submissions. They present research in the areas of artificial intelligence, machine learning, image processing, blockchain technology, human-computer interaction, etc. 
Citește tot Restrânge

Din seria Communications in Computer and Information Science

Preț: 32375 lei

Preț vechi: 40468 lei
-20% Nou

Puncte Express: 486
Preț estimativ în valută:
6196€ • 6471$ • 5137£

Carte tipărită la comandă

Livrare economică 11-25 februarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783031171802
ISBN-10: 3031171802
Pagini: 217
Ilustrații: XII, 217 p. 115 illus., 85 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.33 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

Dengue Outbreak Prediction from Weather Aware Data.- A Dynamic Approach to Identify the Most Significant Biomarkers for Heart Disease Risk Prediction utilizing Machine Learning Techniques.- A Feasible Approach to Predict Survival Rates Post Lung Surgery Utilizing Machine Learning Techniques.- Cardiac Abnormality Prediction Using Multiple Machine Learning Approaches.- COVID-19 Detection from Lung CT Scan Using Transfer Learning Models Nazmus Shakib Shadin.- Statistical Analysis and Clustering of Dengue Incidents and Weather Data of Bangladesh Using K- means Clustering.- AI Reception: An Intelligent Bengali Receptionist System Integrating with Face, Speech, and Interaction Recognition.- A Real-time Junk Food Recognition System based on Machine Learning.- Inference of Gene Regulatory Network (GRN) From Gene Expression Data Using K-means Clustering and Entropy Based Selection of Interactions.- From competition to collaboration: Ensembling similarity-based heuristics for supervised link prediction in biological graphs.- Mental disability detection of children using Handwriting Analysis.- Electrocardiogram Signal Analysis Based on Statistical Approaches Using K-Nearest Neighbor.- Telekit: An IoT Based Wearable Health Assistant With Machine Learning Approach.- An Empirical Feature Selection Approach for Phishing Websites Prediction with Machine Learning.- New Model to Store and Manage Private Healthcare Records Securely Using Block Chain Technologies.- Secure and Transparent Supply Chain Management to Prevent Counterfeit Drugs.