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Good Practices and New Perspectives in Information Systems and Technologies

Overview of attention for book
Cover of 'Good Practices and New Perspectives in Information Systems and Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 MAGNAT: Maritime Management Ensemble Learning System
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    Chapter 2 Stock Market Prediction: Integrating Explainable AI with Conv2D Models for Candlestick Image Analysis
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    Chapter 3 Resources Optimization and Value-Based Prioritization for at Risk Cultural Heritage Assets Management
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    Chapter 4 Expert Systems in Information Security: A Comprehensive Exploration of Awareness Strategies Against Social Engineering Attacks
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    Chapter 5 Multi-class Model to Predict Pain on Lower Limb Intermittent Claudication Patients
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    Chapter 6 Collaborative Filtering Recommendation Systems Based on Deep Learning: An Experimental Study
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    Chapter 7 Assessment of LSTM and GRU Models to Predict the Electricity Production from Biogas in a Wastewater Treatment Plant
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    Chapter 8 Fusing Temporal and Contextual Features for Enhanced Traffic Volume Prediction
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    Chapter 9 Target-vs-One and Target-vs-All Classification of Epilepsy Using Deep Learning Technique
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    Chapter 10 OralDentalSoft: Open-Source Web Application for Dental Office Management
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    Chapter 11 A Scoping Review of the Use of Blockchain and Machine Learning in Medical Imaging Applications
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    Chapter 12 The Role of Electronic Health Records to Identify Risk Factors for Developing Long COVID: A Scoping Review
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    Chapter 13 Machine Learning Approaches to Support Medical Imaging Diagnosis of Pancreatic Cancer – A Scoping Review
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    Chapter 14 Virtual Reality in the Pain Management of Pediatric Burn Patients, A Scoping Review
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    Chapter 15 Defining the “Smart Hospital”: A Literature Review
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    Chapter 16 Deep Learning for Healthcare: A Web-Microservices System Ready for Chest Pathology Detection
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    Chapter 17 Risk Factors in the Implementation of Information Systems in a Federal University Hospital
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    Chapter 18 The Challenges of Blockchain in Healthcare Entrepreneurship
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    Chapter 19 Determinants Associated with Treatment Discontinuation in Tacna Health Network Tuberculosis Patients
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    Chapter 20 Comprehensive Analysis of Feature Extraction Methods for Emotion Recognition on Motor Imagery from Multichannel EEG Recordings
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    Chapter 21 Control of Respiratory Ventilators Using Boussignac Valve
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    Chapter 22 Deep Learning Brain MRI Segmentation and 3D Reconstruction: Evaluation of Hippocampal Atrophy in Mesial Temporal Lobe Epilepsy
  24. Altmetric Badge
    Chapter 23 Integrating Explainable AI: Breakthroughs in Medical Diagnosis and Surgery
Attention for Chapter 8: Fusing Temporal and Contextual Features for Enhanced Traffic Volume Prediction
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Chapter title
Fusing Temporal and Contextual Features for Enhanced Traffic Volume Prediction
Chapter number 8
Book title
Good Practices and New Perspectives in Information Systems and Technologies
Published in
Lecture Notes in Networks and Systems, January 2024
DOI 10.1007/978-3-031-60218-4_8
Book ISBNs
978-3-03-160217-7, 978-3-03-160218-4
Authors

Balderas-Díaz, Sara, Guerrero-Contreras, Gabriel, Muñoz, Andrés, Boubeta-Puig, Juan

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 May 2024.
All research outputs
#15,925,391
of 25,992,468 outputs
Outputs from Lecture Notes in Networks and Systems
#1
of 1 outputs
Outputs of similar age
#156,544
of 365,243 outputs
Outputs of similar age from Lecture Notes in Networks and Systems
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.8. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 365,243 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them