E-grāmata: Intelligent Systems: 34th Brazilian Conference, BRACIS 2024, Belem do Para, Brazil, November 17-21, 2024, Proceedings, Part III

.- 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.