Titlebook: Digital Technologies and Applications; Proceedings of ICDTA Saad Motahhir,Badre Bossoufi Conference proceedings 2024 The Editor(s) (if appl

矛盾

A Deep Learning Approach to Potato Late Blight Detection: Developing and Evaluating a Lightweight Siv8n has a modest detection performance on complex and diverse datasets, making it an interesting opportunity for enhancing research towards early intervention against potato late blight using lightweight models - the potential of deep learning to improve farming methods.

Deadpan

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Design, and Optimization Using Genetic Algorithms of a Dual-Band Microstrip Antenna Based on Defectiare and confirmed by another software called HFSS (high-frequency structure simulator) in terms of its high performance: coefficient reflection, voltage standing wave ratio, directivity, gain, efficiency, and dual-band functionality. The MPAA conception is effective in various wireless power transmi

MIR

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Towards Efficient Computation Offloading in Multi-user MEC Environments: A Game-Theoretic Approachurthermore, a best-response learning algorithm is assigned based on the computational offloading game. It aims to maximize each vehicle‘s utility and guarantees convergence to a unique equilibrium under a set of conditions. To validate the effectiveness and performance of the proposed approach, a se

Cognizance

coagulate

Exploring the Impact of Artificial Intelligence on Human Resource Managementew of the existing literature. To address the impact of AI in HRM integration, this study aimed to determine the current and potential AI implications at organizational and individual levels. It analyses the essence of the HRM practices transformation, such as planning, talent acquisition, performan

rheumatism

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Efficient KPIs Analysis: Harnessing the Power of Excel and VBA Programming for Data Visualization an the effects of implemented modifications. There are different methods for visualizing and analyzing data that can offer important information and insights to operators and managers. However, many current visualization tools can be costly, time-consuming to develop, require programming skills, and p

indenture

A Deep Learning-Powered TinyML Model for Gesture-Based Air Handwriting Simple Arabic Letters RecogniHGs) executed in mid-air. The principal focus of this study lies in the intricate task of precisely classifying Arabic letters through these gestures. The paper provides a comprehensive exposition of the complex dataflow architecture, encompassing the processing of gyroscope and accelerometer data t