Torrent details for "Elhanashi A. Deep Learning in Action. Image and Video Processing…" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
26.6 MB
Info Hash:
791E0D5122D33C2227A423D44C919A5D8CE86E49
Added By:
Added:
Sept. 8, 2025, 10:57 a.m.
Stats:
|
(Last updated: Sept. 8, 2025, 11 a.m.)
| File | Size |
|---|---|
| Elhanashi A. Deep Learning in Action. Image and Video Processing...2025.pdf | 26.6 MB |
NOTE
SOURCE: Elhanashi A. Deep Learning in Action. Image and Video Processing...2025
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format Artificial intelligence technology has entered an extraordinary phase of fast development and wide application. The techniques developed in traditional AI research areas, such as computer vision and object recognition, have found many innovative applications in an array of real-world settings. The general methodological contributions from AI, such as a variety of recently developed deep learning algorithms, have also been applied to a wide spectrum of fields such as surveillance applications, real-time processing, IoT devices, and health care systems. The state-of-the-art and deep learning models have wider applicability and are highly efficient... Preface Introduction Image analysis for surveillance: detecting fire and smoke incidents Enhancing COVID-19 safety measures with AI-powered video analysis Deep learning approaches for fingerprint image restoration Deep learning for classification and localization of multiple abnormalities on chest X-ray images Real-time stroke detection based on deep learning and federated learning Efficient identification of bag-breakup in continuous airflow via video analysis Conclusions and recommendations
×