Proceedings of Trends in Electronics and Health Informatics
TEHI 2023
Herausgegeben:Mahmud, Mufti; Kaiser, M. Shamim; Bandyopadhyay, Anirban; Ray, Kanad; Al Mamun, Shamim
Proceedings of Trends in Electronics and Health Informatics
TEHI 2023
Herausgegeben:Mahmud, Mufti; Kaiser, M. Shamim; Bandyopadhyay, Anirban; Ray, Kanad; Al Mamun, Shamim
- Broschiertes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
This book includes selected peer-reviewed papers presented at the International Conference on Trends in Electronics and Health Informatics (TEHI 2023), held at Institute of Information Technology, Jahangirnagar University, Dhaka, Bangladesh, during December 26-27, 2023. The book is broadly divided into five sections-artificial intelligence and soft computing, healthcare informatics, Internet of things and data analytics, electronics, and communications.
Andere Kunden interessierten sich auch für
- Proceedings of Trends in Electronics and Health Informatics183,99 €
- Proceedings of Trends in Electronics and Health Informatics168,99 €
- Proceedings of 2nd International Conference on Micro-Electronics, Electromagnetics and Telecommunications148,99 €
- Microelectronics, Electromagnetics and Telecommunications148,99 €
- Data Management, Analytics and Innovation110,99 €
- Data Management, Analytics and Innovation125,99 €
- Machine Learning in Information and Communication Technology161,99 €
-
-
-
This book includes selected peer-reviewed papers presented at the International Conference on Trends in Electronics and Health Informatics (TEHI 2023), held at Institute of Information Technology, Jahangirnagar University, Dhaka, Bangladesh, during December 26-27, 2023. The book is broadly divided into five sections-artificial intelligence and soft computing, healthcare informatics, Internet of things and data analytics, electronics, and communications.
Produktdetails
- Produktdetails
- Lecture Notes in Networks and Systems 1034
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-97-3936-3
- Seitenzahl: 783
- Erscheinungstermin: September 2024
- Englisch
- Abmessung: 37mm x 155mm x 235mm
- Gewicht: 1360g
- ISBN-13: 9789819739363
- Artikelnr.: 70604973
- Lecture Notes in Networks and Systems 1034
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-97-3936-3
- Seitenzahl: 783
- Erscheinungstermin: September 2024
- Englisch
- Abmessung: 37mm x 155mm x 235mm
- Gewicht: 1360g
- ISBN-13: 9789819739363
- Artikelnr.: 70604973
A Deep Learning-based Framework for Detecting Depression from Electroencephalogram Signals.- A Review on Emotion Detection From Text: Opportunities and Challenges.- An Effective Combination of Deep and Machine Learning Models for Monkeypox Detection from dermatographic Image.- A Time-efficient and Effective Image Contrast Enhancement Technique using Fuzzification and Defuzzification.- An Ensemble Machine Learning-based Approach for Detecting Malicious Websites using URL Features.- The Multi-Class Paradigm: How Transformers are Reshaping Language Analysis in NLP.- Deep learning Precision Farming: Identification of Bangladeshi-Grown Fruits Using Transfer Learning-Based Detection.- Deep Learning Solutions for Detecting Bangla Fake News: A CNN-Based Approach.- A Two Stage Stacking Ensemble Learning for Employee Attrition Prediction.- Ensemble Learning Approaches for Alzheimers Disease Classification in Brain Imaging Data.- Pseudo-Knighted Cocktail Shaker Sort.
A Deep Learning-based Framework for Detecting Depression from Electroencephalogram Signals.- A Review on Emotion Detection From Text: Opportunities and Challenges.- An Effective Combination of Deep and Machine Learning Models for Monkeypox Detection from dermatographic Image.- A Time-efficient and Effective Image Contrast Enhancement Technique using Fuzzification and Defuzzification.- An Ensemble Machine Learning-based Approach for Detecting Malicious Websites using URL Features.- The Multi-Class Paradigm: How Transformers are Reshaping Language Analysis in NLP.- Deep learning Precision Farming: Identification of Bangladeshi-Grown Fruits Using Transfer Learning-Based Detection.- Deep Learning Solutions for Detecting Bangla Fake News: A CNN-Based Approach.- A Two Stage Stacking Ensemble Learning for Employee Attrition Prediction.- Ensemble Learning Approaches for Alzheimers Disease Classification in Brain Imaging Data.- Pseudo-Knighted Cocktail Shaker Sort.
A Deep Learning-based Framework for Detecting Depression from Electroencephalogram Signals.- A Review on Emotion Detection From Text: Opportunities and Challenges.- An Effective Combination of Deep and Machine Learning Models for Monkeypox Detection from dermatographic Image.- A Time-efficient and Effective Image Contrast Enhancement Technique using Fuzzification and Defuzzification.- An Ensemble Machine Learning-based Approach for Detecting Malicious Websites using URL Features.- The Multi-Class Paradigm: How Transformers are Reshaping Language Analysis in NLP.- Deep learning Precision Farming: Identification of Bangladeshi-Grown Fruits Using Transfer Learning-Based Detection.- Deep Learning Solutions for Detecting Bangla Fake News: A CNN-Based Approach.- A Two Stage Stacking Ensemble Learning for Employee Attrition Prediction.- Ensemble Learning Approaches for Alzheimers Disease Classification in Brain Imaging Data.- Pseudo-Knighted Cocktail Shaker Sort.
A Deep Learning-based Framework for Detecting Depression from Electroencephalogram Signals.- A Review on Emotion Detection From Text: Opportunities and Challenges.- An Effective Combination of Deep and Machine Learning Models for Monkeypox Detection from dermatographic Image.- A Time-efficient and Effective Image Contrast Enhancement Technique using Fuzzification and Defuzzification.- An Ensemble Machine Learning-based Approach for Detecting Malicious Websites using URL Features.- The Multi-Class Paradigm: How Transformers are Reshaping Language Analysis in NLP.- Deep learning Precision Farming: Identification of Bangladeshi-Grown Fruits Using Transfer Learning-Based Detection.- Deep Learning Solutions for Detecting Bangla Fake News: A CNN-Based Approach.- A Two Stage Stacking Ensemble Learning for Employee Attrition Prediction.- Ensemble Learning Approaches for Alzheimers Disease Classification in Brain Imaging Data.- Pseudo-Knighted Cocktail Shaker Sort.