Intelligent Systems

34th Brazilian Conference, BRACIS 2024, Belém do Pará, Brazil, November 17–21, 2024, Proceedings, Part III

Häftad, Engelska, 2025

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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 Pará, Brazil, during November 17–21, 2024. The 116 full papers presented here were carefully reviewed and selected from 285 submissions.

Produktinformation

Utgivningsdatum2025-01-31
Mått155 x 235 x 27 mm
Vikt733 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor470
FörlagSpringer International Publishing AG
ISBN9783031790348

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Tillämpad datateknik inom Data och it
Systemvetenskap och AI inom Data och it
Material och digital teknik i undervisningen inom Psykologi och pedagogik
Artificiell intelligens inom Data och it
Databaser inom Data och it
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.- 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 Alzheimer’s 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 S˜ao 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.