Titlebook: Data-Driven Innovation for Intelligent Technology; Perspectives and App Hiram Ponce,Jorge Brieva,Ernesto Moya-Albor Book 2024 The Editor(s)

CAMP

槍支

,Enhancing STEAM in?Education 4.0: A Review of?Data-Driven Technological Improvements, expression using multidisciplinary techniques such as STEAM. This approach ensures that students not only acquire technical expertise, but also develop the essential skills of creativity, adaptability, and humanistic understanding that are necessary in the current job market. The objective of this

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Exploring the Connection Between Digital Systems and Sustainability: Synergy for a Brighter Future,cy of data management and cloud services, stressing the imperative shift towards eco-friendly practices, notably within energy-efficient data centers. Moreover, it scrutinizes how digital systems are leveraged to advance sustainability in society, notably in domains like intelligent transportation a

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,From Project-Based Learning to?Innovative Technologies in?Mechatronics Course: A Case Study in?a?Prs. The methodology also allows students propose a major project focused on positive social impact with design constraints. It also exposes students different engineering and computational tools for collaboration and integration. The study uses data from 69 students enrolled along four years, from 20

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Critical Factors in the Participation of Women in Science, Technology, Engineering, and Mathematicsfamily and school environment to women so that they develop their skills around STEM careers. In future work, the data obtained could be analyzed in greater depth, considering that the richness of the open responses may be lost by coding the respondents’ opinions as categorical variables.

FUSC

New Particle Swarm Optimizer Algorithm with Chaotic Maps for Combinatorial Global Optimization Probogram designed with an intuitive interface to facilitate the deconvolution process by Spector Mossbauer. This program will be freely distributed without operational restrictions. Experimental validation is performed on Mossbauer spectra generated using the developed program and those obtained by exp

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Embedded Computer Vision for Agricultural Applications,ter presents how the implementation of deep learning object detection techniques in said systems could help not only big agriculture producers, but also small local producers and even personal greenhouses. This is done by presenting the advances done in agriculture by using object detectors and the

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教唆

Book 2024rning and deep learning, data science, and topics related to transforming data into value..It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It emphasizes how the data lifecycle is applied in curre