Titlebook: ICT Systems and Sustainability; Proceedings of ICT4S Milan Tuba,Shyam Akashe,Amit Joshi Conference proceedings 2023 The Editor(s) (if appli

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Encryption Algorithm Using Polygon Triangulation and Catalan Numbers,t leads to a threat to digital network. So, hiding and protecting the information against unintended persons are highly essential nowadays. This can be done by encryption process. Encryption techniques are derived from mathematical concepts like number theory, graph theory, and algebra. The present

DEFT

micronutrients

Environmental Characteristics Leveraging Crop Recommendation Based on Bayesian Optimisation-Supportds, it has become critical to select the most appropriate crops based on the prevailing factors in the designated area. The most prevalent problem faced by Indian farmers is that they do not choose the appropriate crop for the prevailing agro-climatic conditions. As a result, they are experiencing d

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Fall Detection of Elderly Using YOLO,ontrolled in number by the algorithm’s computing complexity. The captured images are routed through the system to a server at the back end for the processor. As the IOT fills in prevalence, this engineering will confront difficulties, for example, rising transmission capacity expenses and server pac

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A Novel Approach for Implementation of Software Requirement Specifications Using the Humpback Whale In terms of limitations and rules, constituents are the prime source of these requires. Software requirement prioritizing is regarded as among the most important approaches in the requirements elicitation since its being used to prioritize the order of execution of specifications based on the persp

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Readability Enhancement for Kannada Text Documents Through OCR,etter texture, they can be maintained for the generations. An optical character recognition (OCR) system converts scanned text into machine-editable characters. Professional optimization techniques for publications available in English, Japanese, Chinese, Arabic, and a few Indian characters are now

Emmenagogue

MUTED

,An Empirical Study of Multi-class Imbalance Learning Algorithms,is skew datasets remain a core interest of intense research. Deeper insight into the nature of imbalanced learning has been gained with the expansion of machine learning and data mining. This turned out to be more complicated with the arrival of the big data era and new emerging challenges of multi-

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