http://repositorio.ufc.br/handle/riufc/24019 2026-05-30T10:00:16Z http://repositorio.ufc.br/handle/riufc/86476 Título: Um framework para apoiar especialistas no problema de recuperação de contêineres em terminais portuários Autor(es): Mateus, Willian Anderson de Sousa Abstract: With the use of containers in port terminals, the challenge arises of handling them in order to obtain a shorter time for operations. Among the problems encountered in this context, the Container Recovery Problem stands out, which seeks to determine a sequence of operations with containers performed in a yard bay using cranes. Given the number of optimization algorithms found in the literature, a strategy that allows the construction of solutions is necessary. The objective of this work is to identify an alternative capable of assisting specialists in building solutions. Through a literature review, it was possible to observe the need for a generic and easily integrated framework. To verify the framework's behavior, two algorithms were integrated: PRC_GREEDY and PRC_CONSTRUCTIVE. The results showed the solutions found by the technique and the time spent executing the instances adopted from the literature. Through the framework, it was possible to visualize and analyze the generated solutions, which allowed us to verify the impact of the solutions applied to the problem. Tipo: TCC 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/86112 Título: Um framework para auxiliar docentes na construção de atividades com operações aritméticas básicas com os números em libras Autor(es): Silva, Samuel Deolino da; Lima, Pedro Henrique Batista de Abstract: According to the IBGE, 5% of the Brazilian population has hearing impairments and faces a barrier to communication during daily tasks. Communication for people with profound deafness occurs through Brazilian Sign Language (Libras). The objective of this work is to identify an alternative to assist teachers in creating activities for people who are beginning to learn numbers in Libras. A framework was developed that allows teachers to personalize activities with arithmetic operations involving Libras signs. The activities are generated automatically and gradually, combining numbers with Libras signs. In the validation, it was noted that 90% of the participants rated the satisfaction level between 9 and 10, highlighting the participants' acceptance. Tipo: TCC 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/85013 Título: Integração de abordagens lúdicas do ensino de processos de software Autor(es): Batista, Ricardo Davi da Silva Abstract: The teaching of software processes at the Federal University of Ceará, Russas campus, is still predominantly conducted in a traditional manner, focusing on theoretical exposition. This paper presents a pedagogical experience based on playful dynamics using LEGO pieces, applied in the course Introduction to Software Processes. The activity involved 27 students, organized into groups with defined roles, who went through the stages of planning, execution, and review. The objective was the delivery of a documented prototype, followed by qualitative and quantitative evaluation. The results indicated that the methodology fostered greater engagement, creativity, adaptability to changes, and learning from mistakes. Most participants evaluated the experience as “Excellent” or “Very Good,” highlighting its contribution to the learning of software processes and its effectiveness compared to traditional methods. It is concluded that the use of playful dynamics not only supports the assimilation of technical content but also promotes the development of collaboration, planning, and problem-solving skills. Tipo: TCC 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/85012 Título: Uso de técnicas de modelagem preditiva para prever o comportamento de compras em E-Commerces Autor(es): Lima, Breno Oliveira Maurício Abstract: With the rapid expansion of electronic commerce, companies have faced increasingly significant challenges related to customer retention, particularly due to the ease with which consumers can switch between providers. Customer turnover, or churn, has emerged as a critical factor affecting financial performance, as it entails potential revenue loss and higher costs associated with acquiring new customers. In this context, the application of machine learning techniques proved to be a promising approach for predicting user behavior and generating strategic insights to support churn-mitigation actions. With this purpose, the present study evaluated predictive models designed to estimate the probability that a product viewed in an e-commerce environment would be effectively purchased by the customer. The experiments were conducted using a public dataset available on the Kaggle platform. The study encompassed preprocessing, feature engineering, model training, and validation stages. The results obtained were compared with those reported in the literature, aiming to contribute to the improvement of predictive solutions applied to the electronic commerce sector Tipo: TCC 2026-01-01T00:00:00Z