Muutke küpsiste eelistusi

E-raamat: Towards new e-Infrastructure and e-Services for Developing Countries: 15th International Conference, AFRICOMM 2023, Bobo-Dioulasso, Burkina Faso, November 23-25, 2023, Proceedings, Part II

Edited by , Edited by , Edited by
  • Formaat - PDF+DRM
  • Hind: 74,09 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

The two-volume set LNICST 587 + 588 constitutes the refereed proceedings of the EAI 15th International Conference on Africa Internet infrastructure and Services, AFRICOMM 2023, which took place in Bobo-Dioulasso, Burkina Faso, in November 2023.





The 59 full papers  presented in these two volumes were carefully reviewed and selected from 72 submissions.





The papers are organized in the following topical sections:





Part I: Digital economy, Digital transformation, e-Government and e-services; ICT infrastructures for critical environmental conditions; Wireless networks; E-health; Cybersecurity and Privacy.

Part II: Systems and cloud computing; Artificial Intelligence; Ontology, data preparation; Responsible Artificial Intelligence for Sustainable Development in Africa (workshop).
.- Systems and cloud computing.



.- Proposal for a formal definition to the problem of migration of a virtual
machine.



.- Investigating Cost-Effective Computing Infrastructure for
Schools/Community Centres Using Raspberry PIs.



.- Digital Forensics Investigations: Major Challenges in Mobile and Cloud
Forensics.



.- A cloud-based drones model for detection and tracking of stationary and
motion-based snakes in farms in marginalized rural areas: A preliminary
study.



.- A Domain Specific Language (DSL) for agro-ecosystems modeling and
simulation.



.- Artificial Intelligence.



.- Leveraging Conversational AI for Accelerating User-driven Software
Testing.



.- Integration of artificial intelligence with diabetic data for increasingly
personalized medicine.



.- Question design using NLP.



.- Edge- AI and Internet of Things for intelligent Systems : Architectures,
Applications and Future Perspectives.



.- Comparative study of Name Entity Recognition models in Burkina Faso
context.



.- Ontology, data preparation.



.- PLAVIDA, an annotation tool for audio and video in African languages.



.- Towards a framework for the preparation of high quality data for use by
machine learning algorithms.



.- CAOGen: An Automatic Ontology Constructor Based on Data Mining
Techniques.



.- Responsible Artificial Intelligence for Sustainable Development in Africa
(workshop).



.- Artificial Intelligence for the Analysis of the Security Situation in
Burkina Faso.



.- Analysis, design and implementation of a ripe mango detection program in
Burkina Faso.



.- Financial Fraud Detection Using Rich Mobile Money Transaction Datasets.



.- Culture ontology to enhance social cohesion.



.- New zero watermarking scheme based on hyper-catadioptric system model and
hyperbolic geometry.



.- Cotton disease detection on UAV images: A Deep Learning-based approach
with YOLOv7.