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Artificial intelligence tools and applications in embedded and mobile systems = selected papers from the First International Conference on Embedded and Mobile Systems (ICTA-EMOS), 24-25 November 2022, Arusha, Tanzania /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence tools and applications in embedded and mobile systems/ edited by Jorge Marx Gómez, Anael Elikana Sam, Devotha Godfrey Nyambo.
Reminder of title:	selected papers from the First International Conference on Embedded and Mobile Systems (ICTA-EMOS), 24-25 November 2022, Arusha, Tanzania /
remainder title:	ICTA-EMOS
other author:	Gómez, Jorge Marx.
corporate name:	International Conference on Embedded and Mobile Systems
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xv, 271 p. :ill., digital ;24 cm.
[NT 15003449]:	Improving Robustness of Optimized Parameters Gradient Tree Boosting for Crime Forecast Model -- Evidence Based Practices On Co-Operative Societies Information Record Management -- Influence of Microservice Design Patterns for Data Science Workflows -- A systematic literature review toward standardization of business rules discovery in the context of Process Mining -- Contextual Multi-view Graph Community Detection using Graph Neural Networks -- Feature Selection Approach To Improve Malaria Diagnosis Model's Performance For High And Low Endemic Areas Of Tanzania -- 2-Stage Hybrid Ensemble Based Heterogeneous Committee Machine for Improving Soil Fertility Status Prediction Performance -- Convolutional Neural Network deep learning model for early detection of streak virus and lethal necrosis in maize: A case of Northern-highlands, Tanzania -- Object Detection Model for Poultry Diseases Diagnostics -- Machine Learning Model for Predicting Construction Project Success in Tanzania -- Improved MedicalImaging Transfer learning through the conflation of domain features -- Determining Emotion Intensities From Audio Data Using A Convolutional Neural Network -- Machine Learning Based Forward Collision Avoidance System: A Case study for the Kayoola EVS -- Visualizing Outlier Explanations for Mixed-type Data -- A Dolutegravir-Associated Hyperglycemia Computational Prediction Tool for People Living with HIV in Uganda -- Extraction of Numerical Facts from German Texts to enrich Internal Audit Data -- From Process Mining to Enterprise Mining -- CNN With Attention Guided Concatenation For Improved Image Restoration -- A Contribution to the Development of Sustainable Target Value Streams with Machine Learning Considering Material Flow Cost -- Mask R-CNN model for banana diseases segmentation -- The artificial neural network-based smart number plate for vehicles with real-time traffic signs recognition and notification -- Intermodal matching algorithm including public transportation and ride-hailing -- A Machine Learning-Based IoT Environmental Monitoring Platform for Data Centres.
Contained By:	Springer Nature eBook
Subject:	Embedded computer systems - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-56576-2
ISBN:	9783031565762

Artificial intelligence tools and applications in embedded and mobile systems = selected papers from the First International Conference on Embedded and Mobile Systems (ICTA-EMOS), 24-25 November 2022, Arusha, Tanzania /
Artificial intelligence tools and applications in embedded and mobile systemsselected papers from the First International Conference on Embedded and Mobile Systems (ICTA-EMOS), 24-25 November 2022, Arusha, Tanzania /[electronic resource] :ICTA-EMOSedited by Jorge Marx Gómez, Anael Elikana Sam, Devotha Godfrey Nyambo. - Cham :Springer Nature Switzerland :2024. - xv, 271 p. :ill., digital ;24 cm. - Progress in IS,2196-8713. - Progress in IS..

Improving Robustness of Optimized Parameters Gradient Tree Boosting for Crime Forecast Model -- Evidence Based Practices On Co-Operative Societies Information Record Management -- Influence of Microservice Design Patterns for Data Science Workflows -- A systematic literature review toward standardization of business rules discovery in the context of Process Mining -- Contextual Multi-view Graph Community Detection using Graph Neural Networks -- Feature Selection Approach To Improve Malaria Diagnosis Model's Performance For High And Low Endemic Areas Of Tanzania -- 2-Stage Hybrid Ensemble Based Heterogeneous Committee Machine for Improving Soil Fertility Status Prediction Performance -- Convolutional Neural Network deep learning model for early detection of streak virus and lethal necrosis in maize: A case of Northern-highlands, Tanzania -- Object Detection Model for Poultry Diseases Diagnostics -- Machine Learning Model for Predicting Construction Project Success in Tanzania -- Improved MedicalImaging Transfer learning through the conflation of domain features -- Determining Emotion Intensities From Audio Data Using A Convolutional Neural Network -- Machine Learning Based Forward Collision Avoidance System: A Case study for the Kayoola EVS -- Visualizing Outlier Explanations for Mixed-type Data -- A Dolutegravir-Associated Hyperglycemia Computational Prediction Tool for People Living with HIV in Uganda -- Extraction of Numerical Facts from German Texts to enrich Internal Audit Data -- From Process Mining to Enterprise Mining -- CNN With Attention Guided Concatenation For Improved Image Restoration -- A Contribution to the Development of Sustainable Target Value Streams with Machine Learning Considering Material Flow Cost -- Mask R-CNN model for banana diseases segmentation -- The artificial neural network-based smart number plate for vehicles with real-time traffic signs recognition and notification -- Intermodal matching algorithm including public transportation and ride-hailing -- A Machine Learning-Based IoT Environmental Monitoring Platform for Data Centres.

The emergence of Artificial Intelligence (AI) has had a tremendous impact on embedded and mobile systems. This book presents a diverse collection of papers that showcase cutting-edge research and practical applications of AI in this field. The peer-reviewed research articles stem from the First International Conference on Embedded and Mobile Systems (ICTA-EMOS), which was held on November 24th - 25th, 2022, in Arusha, Tanzania, East Africa. They demonstrate the breadth and depth of AI's impact across various domains, exploring topics such as healthcare advances, transportation optimization, sustainable solutions, and business and process optimization.

ISBN: 9783031565762

Standard No.: 10.1007/978-3-031-56576-2doiSubjects--Topical Terms:

630745
Embedded computer systems
--Congresses.

LC Class. No.: TK7895.E42

Dewey Class. No.: 006.22

Artificial intelligence tools and applications in embedded and mobile systems = selected papers from the First International Conference on Embedded and Mobile Systems (ICTA-EMOS), 24-25 November 2022, Arusha, Tanzania /
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245 1 0 $a Artificial intelligence tools and applications in embedded and mobile systems $h [electronic resource] : $b selected papers from the First International Conference on Embedded and Mobile Systems (ICTA-EMOS), 24-25 November 2022, Arusha, Tanzania / $c edited by Jorge Marx Gómez, Anael Elikana Sam, Devotha Godfrey Nyambo.
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300 $a xv, 271 p. : $b ill., digital ; $c 24 cm.
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505 0 $a Improving Robustness of Optimized Parameters Gradient Tree Boosting for Crime Forecast Model -- Evidence Based Practices On Co-Operative Societies Information Record Management -- Influence of Microservice Design Patterns for Data Science Workflows -- A systematic literature review toward standardization of business rules discovery in the context of Process Mining -- Contextual Multi-view Graph Community Detection using Graph Neural Networks -- Feature Selection Approach To Improve Malaria Diagnosis Model's Performance For High And Low Endemic Areas Of Tanzania -- 2-Stage Hybrid Ensemble Based Heterogeneous Committee Machine for Improving Soil Fertility Status Prediction Performance -- Convolutional Neural Network deep learning model for early detection of streak virus and lethal necrosis in maize: A case of Northern-highlands, Tanzania -- Object Detection Model for Poultry Diseases Diagnostics -- Machine Learning Model for Predicting Construction Project Success in Tanzania -- Improved MedicalImaging Transfer learning through the conflation of domain features -- Determining Emotion Intensities From Audio Data Using A Convolutional Neural Network -- Machine Learning Based Forward Collision Avoidance System: A Case study for the Kayoola EVS -- Visualizing Outlier Explanations for Mixed-type Data -- A Dolutegravir-Associated Hyperglycemia Computational Prediction Tool for People Living with HIV in Uganda -- Extraction of Numerical Facts from German Texts to enrich Internal Audit Data -- From Process Mining to Enterprise Mining -- CNN With Attention Guided Concatenation For Improved Image Restoration -- A Contribution to the Development of Sustainable Target Value Streams with Machine Learning Considering Material Flow Cost -- Mask R-CNN model for banana diseases segmentation -- The artificial neural network-based smart number plate for vehicles with real-time traffic signs recognition and notification -- Intermodal matching algorithm including public transportation and ride-hailing -- A Machine Learning-Based IoT Environmental Monitoring Platform for Data Centres.
520 $a The emergence of Artificial Intelligence (AI) has had a tremendous impact on embedded and mobile systems. This book presents a diverse collection of papers that showcase cutting-edge research and practical applications of AI in this field. The peer-reviewed research articles stem from the First International Conference on Embedded and Mobile Systems (ICTA-EMOS), which was held on November 24th - 25th, 2022, in Arusha, Tanzania, East Africa. They demonstrate the breadth and depth of AI's impact across various domains, exploring topics such as healthcare advances, transportation optimization, sustainable solutions, and business and process optimization.
650 0 $a Embedded computer systems $v Congresses. $3 630745
650 0 $a Mobile computing $x Congresses. $3 582086
650 0 $a Artificial intelligence $v Congresses. $3 606815
650 1 4 $a Business IT Infrastructure. $3 2163249
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Big Data. $3 3134868
650 2 4 $a Special Purpose and Application-Based Systems. $3 892492
650 2 4 $a Business Information Systems. $3 892640
700 1 $a Gómez, Jorge Marx. $3 3718516
700 1 $a Sam, Anael Elikana. $3 3718517
700 1 $a Nyambo, Devotha Godfrey. $3 3718518
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Progress in IS. $3 2055599
856 4 0 $u https://doi.org/10.1007/978-3-031-56576-2
950 $a Business and Management (SpringerNature-41169)

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