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Produktbild: Applied Machine Learning on Sensing Technologies

Applied Machine Learning on Sensing Technologies

Aus der Reihe Ubiquitous Computing, Healthcare and Well-being

214,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

19.05.2026

Abbildungen

farbige Illustrationen, Raster,schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss

Herausgeber

Md Atiqur Rahman Ahad + weitere

Verlag

Taylor and Francis

Seitenzahl

224

Maße (L/B/H)

24,1/16,5/2 cm

Gewicht

528 g

Sprache

Englisch

ISBN

978-1-03-276642-3

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

19.05.2026

Abbildungen

farbige Illustrationen, Raster,schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss

Herausgeber

Verlag

Taylor and Francis

Seitenzahl

224

Maße (L/B/H)

24,1/16,5/2 cm

Gewicht

528 g

Sprache

Englisch

ISBN

978-1-03-276642-3

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Applied Machine Learning on Sensing Technologies

  • Chapter 1 A Tri-modal Fusion Network for Object Detection Using Small Amounts of Low-Quality Data

    Yusuke Watanabe, Yuma Yoshimoto, and Hakaru Tamukoh

    Chapter 2 Arabic Music Classification and Generation using Deep Learning

    Mohamed Elshaarawy, Ashrakat Saeed, Mariam Sheta, Abdelrahman Said, Asem Bakr, Omar Bahaa and Walid Gomaa

    Chapter 3 An Experimental Study on Speech Emotion Recognition for Bangla Language

    Md. Mehedi Hasan, Sarker Tanveer Ahmed Rumee, and Moinul Islam Zaber

    Chapter 4 Performance Evaluation of Multi-class Bangla Public Sentiment Analysis Using Machine Learning and Embedding Techniques

    Md Tazimul Hoque, Syed Tangim Pasha, Rubaiya Khanam, Ashraful Islam, Md Zahangir Alam, and Mohammad Nurul Huda

    Chapter 5 Cross-Lingual Transfer Learning for Arabic Signature Verification: Dataset and Baseline Evaluation

    Tameem Bakr, Ahmed Abdullatif, Kareem Elzeky, Mohamed Elsayed, and Rami Zewail

    Chapter 6 Empowering Bengali Language in Drone Control with Artificial Neural Networks

    Sajjad Hossain Talukder, Noortaz Rezoana, Tanjim Mahmud, Nanziba Basnin, Shourav Chowdhury , Mohammad Shahadat Hossain, and Karl Andersson

    Chapter 7 Survival Analysis and Therapeutic Drug Targets Identification for Head and Neck Cancer and Chronic Lymphocytic Leukemia Cancer

    Md. Anayt Rabbi, Md. Manowarul Islam, Md. Ashraf Uddin, Arnisha Akter, and Selina Sharmin

    Chapter 8 Intracranial Hemorrhage Segmentation and Application of Interpretable Transfer Learning using Grad-CAM for Classification in Computed Tomography Images

    Tazqia Mehrub and Mosabber Uddin Ahmed

    Chapter 9 Cervical Cancer Detection Using Multi-Branch Deep Learning Model

    Tatsuhiro Baba, Abu Saleh Musa Miah, Jungpil Shin, and Md. Al Mehedi Hasan

    Chapter 10 An Improved Framework for Classification of Skin Cancer Lesions using Transfer Learning

    Tanjim Mahmud, Koushick Barua, Anik Barua, Sudhakar Das, Rishita Chakma, Nanziba Basnin, Nahed Sharmen, Mohammad Shahadat Hossain, and Karl Andersson

    Chapter 11 An Ensemble Learning Classifier to Predict Net Electricity Generation from Nuclear Power Plants

    Mushfiqur Rashid Khan, Faiyaz Fahim, Nahid Hasan, and Md. Parveg Plaban

    Chapter 12 Deep Learning Optimizers: A Sustainability Perspective on Energy and Emissions

    Md Asif Mahmod Tusher Siddique, Md Sakibul Islam, Dr. Ah-Lian Kor, Rashedul Kabir, Nusrath Jahan Happy

    Chapter 13 Exploration of Hyperledger Besu in Designing Private Blockchain-based Financial Distribution Systems

    Md. Raisul Hasan Shahrukha, Md. Tabassinur Rahmanb, and Nafees Mansoorc

    Chapter 14 BlockCampus: A Blockchain-Based DApp for Enhancing Student Engagement and Reward Mechanisms in an Academic Community for E-JUST University

    Mariam Ayman, Youssef El-harty, Ahmed Rashed, Ahmed Fathy, Ahmed Abdullah, Omar Wassim, Walid Gomaa

    Chapter 15 A Crop Recommendation System With a Transformer-Based Deep Learning Model

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