Bangabandhu and Digital Bangladesh

First International Conference, ICBBDB 2021, Dhaka, Bangladesh, December 30, 2021, Revised Selected Papers

AvA. K. M. Muzahidul Islam,Jia Uddin

Häftad, Engelska, 2022

Del 1550 i serien Communications in Computer and Information Science

539 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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.

Produktinformation

Utgivningsdatum:2022-09-30
Mått:155 x 235 x 13 mm
Vikt:359 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:217
Förlag:Springer International Publishing AG
ISBN:9783031171802

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Bangabandhu and Digital Bangladesh

First International Conference, ICBBDB 2021, Dhaka, Bangladesh, December 30, 2021, Revised Selected Papers

AvA. K. M. Muzahidul Islam,Jia Uddin

Häftad, Engelska, 2022

Del 1550 i serien Communications in Computer and Information Science

539 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

Produktinformation

Utgivningsdatum:2022-09-30
Mått:155 x 235 x 13 mm
Vikt:359 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:217
Förlag:Springer International Publishing AG
ISBN:9783031171802

Utforska kategorier

Innehållsförteckning

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.

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Shah Murtaza Rashid Al Masud, Shahriar Rahman, Nafees Mansoor, Jia Uddin, A. K. M. Muzahidul Islam

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