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Intelligent Systems: 34th Brazilian Conference, BRACIS 2024, Belém do Parį, Brazil, November 1721, 2024, Proceedings, Part III [Mīkstie vāki]

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  • Formāts: Paperback / softback, 470 pages, height x width: 235x155 mm, 116 Illustrations, color; 16 Illustrations, black and white; XVIII, 470 p. 132 illus., 116 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 15414
  • Izdošanas datums: 31-Jan-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031790340
  • ISBN-13: 9783031790348
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Intelligent Systems: 34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 1721, 2024, Proceedings, Part IIIPalielināt
  • Formāts: Paperback / softback, 470 pages, height x width: 235x155 mm, 116 Illustrations, color; 16 Illustrations, black and white; XVIII, 470 p. 132 illus., 116 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 15414
  • Izdošanas datums: 31-Jan-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031790340
  • ISBN-13: 9783031790348
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031790348.html
Keywords:
The four-volume set LNAI 15412-15415 constitutes the refereed proceedings of the 34th Brazilian Conference on Intelligent Systems, BRACIS 2024, held in Belém do Parį, Brazil, during November 1721, 2024.





The 116 full papers presented here were carefully reviewed and selected from 285 submissions. They were organized in three key tracks: 70 articles in the main track, showcasing cutting-edge AI methods and solid results; 10 articles in the AI for Social Good track, featuring innovative applications of AI for societal benefit using established methodologies; and 36 articles in other AI applications, presenting novel applications using established AI methods, naturally considering the ethical aspects of the application.
.- Other AI Applications.

.- A Case Study on Water Demand Forecasting in a Coastal Tourist City.

.- A Knowledge Engineering-Based Approach to Detect Gaming the System in
Novice Programmers.

.- Acoustic Features and Autoencoders for Fault Detection in Rotating
Machines: A Case Study.

.- Affective states in novice programmers: automatically detecting and
analyzing the impact on learning.

.- An Analysis of Time-Frequency Consistency in Human Activity Recognition.

.- An Evaluation of Temporal Neighborhood Coding Variants in Smartphone-Based
Human Activity Recognition.

.- AnisotropicBreast-ViT: Breast Cancer Classification in Ultrasound Images
using Anisotropic Filtering and Vision Transformer.

.- Anomalies diagnostic in endoscopic images using Deep Learning Ensemble
models.

.- Automated Segmentation of Computed Tomography Images for COVID-19 Patient
Evaluation.

.- Combining clustering and genetic algorithms for portfolio optimization: a
case study with B3 companies.

.- Comparative Analysis of Machine Learning Algorithms for Identifying
Genetic Markers Linked to Alzheimers Disease.

.- Comparing LIME and SHAP global explanations for Human Activity
Recognition.

.- Damage Identification of Wind Turbine Blades.

.- Emotion Recognition in Instrumental Music Using AI.

.- Enhancing Multiobjective Genetic Algorithms for Pharmaceutical Batch
Scheduling: A Study on Partitioned Selection with constraints and Mutation
Greedy Local Search Strategy.

.- Evaluating Sentiment Quantification Methods in Brazilian Portuguese
Corpora.

.- Evaluating Short Text Stream Clustering on Large E-commerce Datasets.

.- Evolutionary Adjustment of a Cellular Automata-based Model for Wildfire
Spreading.

.- Exploring Score-based Ranking Fairness in Marketplace Environments through
Simulation.

.- HAVANA: Hybrid Attentional Graph Convolutional Network Semantic Venue
Annotation Model.

.- Impact of Pre-training Datasets on Human Activity Recognition with
Contrastive Predictive Coding.

.- Improving Colorectal Cancer Diagnosis using MIRNet and InceptionV3 on
Histopathological.

.- Integrating tensor-based data analytics and adaptive prediction for
informed decision-making support.

.- Investigating Methods to Detect Off-Topic Essays.

.- Machine Learning and Time Series Analysis to Forecast Hotel Room Prices.

.- Modeling and Predicting Crimes in the City of Sao Paulo Using Graph
Neural Networks.

.- Predicting Engagement of Brazilian Politicians on TikTok: A Machine
Learning Approach.

.- Preserving Privacy and Enhancing Robustness: Federated Learning for Lung
Disease Identification in Chest X-Ray Images.

.- RLPortfolio: Reinforcement Learning for Financial Portfolio Optimization.

.- Scaling and Adapting Large Language Models for Portuguese Open Information
Extraction: A Comparative Study of Fine-Tuning and LoRA.

.- Special-Crowd-Distance boosted MESH applied to the operation of cascade
hydro-power plants.

.- The Impact of Double Transfer Learning in VGG Architectures for Metastasis
Breast Cancer Detection.