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Computing and Emerging Technologies: First International Conference, ICCET 2023, Lahore, Pakistan, May 26-27, 2023, Revised Selected Papers, Part I 2025 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 423 pages, kõrgus x laius: 235x155 mm, 157 Illustrations, color; 25 Illustrations, black and white; XXV, 423 p. 182 illus., 157 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2055
  • Ilmumisaeg: 04-Apr-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 303177616X
  • ISBN-13: 9783031776168
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  • Pehme köide
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  • Formaat: Paperback / softback, 423 pages, kõrgus x laius: 235x155 mm, 157 Illustrations, color; 25 Illustrations, black and white; XXV, 423 p. 182 illus., 157 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2055
  • Ilmumisaeg: 04-Apr-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 303177616X
  • ISBN-13: 9783031776168
Teised raamatud teemal:
The two-volume set CCIS 2055-2056 constitutes the refereed proceedings of the First International Conference on Computing and Emerging Technologies, ICCET 2023, held in Lahore, Pakistan, during May 26-27, 2023.





The 50 full papers and 15 short papers included in this book were carefully reviewed and selected from 250 submissions. The papers focused on topics such as blockchain, data science, machine learning, artificial intelligence, and and offered in-depth analyses and practical implementations.
Incube: The Project Repository Based on Blockchain.- Algorithm Trading
Using Data Science.- Determining Students Online Academic Performance Using
Machine Learning Techniques.- User Experience (UX) Enrichment Through Digital
Branding.- SDN-Enabled Resource and Energy Management Framework In Smart
Buildings Using Los-Cost Air Quality Sensors.- Air Quality Predictions Using
Machine Learning Models.- Implementation of IOT and WSN Technologies For
Health Monitoring.- Breast Cancer Diagnosis Based on Deep Convolutional
Neural Networks Using Image Clustering.- Driver Distraction Detection Using a
Multi-Stream Deep Fusion Network.- Handwritten Character Recognition Using
Fusion SVM-CNN.- Automated Skin Cancer Segmentation and Classification Based
on Deep Learning.- Performance Analysis of Self-Adaptive User Interface for
Mobile Users (Systematic Literature Review).- Sentiment Analysis of Twitter
Posts On 5G Technology Using ML.- Applications Of Blockchain Technology in
The Healthcare Industry.- Exploring Language Modeling Techniques for Improved
Recommender Systems.- Machine Learning Based Approach to Secure Light Weight
Devices.- GAPTCHA: A Game-Based Image-CAPTCHA.- A Comprehensive Survey on
Software Defined Networking (SDN) Security.- Access Control Techniques for
Cloud Computing: Review and Recommendations.- Linguistic Resources for
Extremism Detection on Social Media.- Improved Pak Currency Identification
For Blind And Visually Impaired People.- The Study of Agile Methodologies and
Challenges in Software Requirements Engineering.- Predicting Heart Disease
with Machine Learning: A Comparative Study of Classifiers.- Media Forensics
and Deepfake - Systematic Survey.- A Convolutional Neural Network Approach
for Mood Classification In Short Texts Using Character-Level Details And
Local Text Structure.- Usability Approach of Distributed Database in Health
Care System.- Audio Source Separation: Advances And Challenges.- A Survey on
Approximate Hardware Accelerator for Error-Tolerant Applications.- Deep
Learning Based Multi Focus Image Fusion.- SLR Based on Requirement
Elicitation and Modeling in GSD.- An Efficient Machine Learning Technique for
Prediction of Cardiovascular Disease.- Analysis And Development of Kids Cell
Activities Monitoring App.