Titlebook: Decision Intelligence Solutions; Proceedings of the I Nitasha Hasteer,Seán McLoone,Purushottam Sharma Conference proceedings 2023 The Edito

Headstrong

The Development of Internet of Things Skills to Enhance Youth Employability in Developing Countries the youth lie. The important skills identified were the use of sensors, data management and programming, as they form the backbone of the IoT and would allow the youth to be adaptable and employable in various industries. Lastly, suggestions are made of areas where governments can focus to facilita

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Investigating Robotic Process Automation Adoption in South African Banking,an extensive literature review on the phenomenon. Thematic analysis was used to analyse the interview data that was collected. Key findings were that the adoption of RPA in South African banks is driven by the expected benefits of RPA which are achieved when well-suited processes are targeted, an ef

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Prologue

Crop Classification Based on Multispectral and Multitemporal Images Using CNN and GRU,sed, and the features in each patch of the image will be extracted and used. Following this proposed ideology, by feeding both the multitemporal and the multispectral data to the model, several crop classes can be identified directly using the satellite images easily and efficiently. To measure the

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Heretical

Novel Approach for Network Anomaly Detection Using Autoencoder on CICIDS Dataset, for this proposed framework is mentioned in this paper. Also gives a standard formula for setting the threshold and compare these values with anomaly score i.e., error. Anomaly and normal sample are categorized on the basis of threshold value. As a well-used dataset in the literature, utilize the C

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Agnosia

Applications of machine learningtonic scattering mechanisms of quantum conductance. Utilizing a hybrid structure comprised of Cu, SWCNTs, and MWCNTs yields the better network gain. In addition to the delay they provide to important channels, the power they squander, the distortion and vibration they cause each other, and their vul

改变立场

Rui Zhao,Junhong Chen,Zhen Zhangak classifiers is proposed because it can have a large number of training and validation samples. Current classifier and proposed new classifiers, such as Ada-boost, Grid Search CV is analysed. The accuracy outcome can be improved by using Auto ML. Auto ML provides its suggestions on which algorithm