UID:
almahu_9949948814302882
Format:
XVIII, 470 p. 132 illus., 116 illus. in color.
,
online resource.
Edition:
1st ed. 2025.
ISBN:
9783031790355
Series Statement:
Lecture Notes in Artificial Intelligence, 15414
Content:
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. 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.
Note:
-- 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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031790348
Additional Edition:
Printed edition: ISBN 9783031790362
Language:
English
DOI:
10.1007/978-3-031-79035-5
URL:
https://doi.org/10.1007/978-3-031-79035-5
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