Titlebook: Emerging Technologies for Developing Countries; 5th EAI Internationa Muthoni Masinde,Antoine Bagula Conference proceedings 2023 ICST Instit

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健忘症

Towards a Microservice-Based Middleware for a Multi-hazard Early Warning Systemrsistent apprehension in communities surrounded by mining operations. The application of modern technologies in the environmental monitoring of these Human-made hazards is critical, because while not immediately health-threatening may turn out detrimental with unwanted negative effects. Enabling tec

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Asseverate

Weed Identification in Plant Seedlings Using Convolutional Neural Networksith crops for nutrients and sunlight, hence resulting in low crop yield. It is therefore necessary to identify and remove them at an early growth stage for effective weed control and maximum farm produce. This study focuses on distinguishing between crops and weeds at their infancy, using images pro

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FLIT

Conference proceedings 2023RICATEK 2022, held in Bloemfontein, South Africa, in December 5-7, 2022..The 14 full papers included in this book were carefully reviewed and selected from 24 submissions. They were organized in topical sections as follows: answer set programming; Education in the 4IR Era, Opportunities for driving

grudging

1867-8211 ntries, AFRICATEK 2022, held in Bloemfontein, South Africa, in December 5-7, 2022..The 14 full papers included in this book were carefully reviewed and selected from 24 submissions. They were organized in topical sections as follows: answer set programming; Education in the 4IR Era, Opportunities fo

MEN

Conference proceedings 2023 from 24 submissions. They were organized in topical sections as follows: answer set programming; Education in the 4IR Era, Opportunities for driving Efficiencies and Effectiveness, Key 4IR Baseline Architectures, Application of 4IR in Environment and Agriculture Monitoring..

irreducible

Masahiro Irie,Yasushi Yokoyama,Takahiro Sekicountries. M-learning assumes adequate internet and digital technology infrastructure which means that developing countries continue to be affected the most. A research agenda is created for how m-learning can be better leveraged for future disruptions.

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