Titlebook: Artificial Intelligence and Digitalization for Sustainable Development; 10th EAI Internation Bereket H. Woldegiorgis,Kibret Mequanint,Abdul

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Conclusion: Intelligence in Everythinge resemblance among shapes of the different symbols available in the language which challenged the task of machine-based optical character recognition systems in the language. The absence of a standardized labeled dataset for the Amharic language created additional barriers for different researchers

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Embedded Artificial Intelligenceus researchers’ works on cane development methodologies. This review’s goal is to determine the full cane configuration of hardware parts, software architecture, and cane structure. We discussed object detection methods, object identification methods, flame detection methods, water detection methods

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NOCT

Embedded Artificial Intelligence retrieval, and machine translation. The manual disambiguation process by humans is tedious, prone to errors, and expensive. Recent research in Amharic WSD used mostly handcrafted rules. Such works do not help to learn different representations of the target word from data automatically. Moreover, s

Ambiguous

fiction

Morsel

wangle

SEMI

fibroblast