Traffic congestion frequently occurs in highly populated cities and can result from poor civil planning or inadequate public transportation. This issue increases traffic accidents, air pollution, fuel loss, and public dissatisfaction. Therefore, implementing traffic control systems that improve traffic flow and reduce travel times becomes essential. This work conducts a systematic literature review to identify the most efficient methods, algorithms, and models for developing traffic control systems. The review identifies three methods and three algorithms that are highly efficient for these systems, highlighting Bayesian filters and convolutional neural networks. It also shows that You Only Look Once (YOLO) is the most efficient image processing model for these implementations.

Diabetes mellitus is a chronic disease that appears when the pancreas does not secrete enough insulin or the body does not properly use the insulin it produces. Insulin is a hormone that regulates glucose concentration in the blood: one of the most common effects of uncontrolled diabetes is hyperglycemia, which seriously damages many organs and body systems over time. In this sense, the development of predictive software, the diagnosis, and subsequent treatment of diabetes, especially of type 1 and 2, which are the most frequent, deserve attention. This paper presents a systematic review of the literature to determine the methods and problems in constructing diabetes-oriented trend identification systems. The results show 16 construction methods used in these systems, the most efficient being logistic regression and artificial neural networks.

Traffic congestion frequently occurs in highly populated cities and can result from poor civil planning or inadequate public transportation. This issue increases traffic accidents, air pollution, fuel loss, and public dissatisfaction. Therefore, implementing traffic control systems that improve traffic flow and reduce travel times becomes essential. This work conducts a systematic literature review to identify the most efficient methods, algorithms, and models for developing traffic control systems. The review identifies three methods and three algorithms that are highly efficient for these systems, highlighting Bayesian filters and convolutional neural networks. It also shows that You Only Look Once (YOLO) is the most efficient image processing model for these implementations.

Automatic route generation is an essential tool for optimizing logistics, as it reduces operating costs and improves sustainability in a variety of scenarios. This work presents a systematic literature review based on the Kitchenham methodology, which is structured in three phases: planning, execution and reporting, through the analysis of relevant articles obtained from databases such as Scopus and ScienceDirect, 50 relevant studies were identified after the screening stages, Advanced techniques, models, and technologies were obtained that address the main challenges of logistics planning, including adaptation to dynamic environments and real-time decisionmaking. The findings highlight the positive impact of hybrid algorithms and emerging technologies such as the Internet of Things and vehicle connectivity, significantly improving operational efficiency and sustainability. However, chal...

Diabetes mellitus is a chronic disease that appears when the pancreas does not secrete enough insulin or the body does not properly use the insulin it produces. Insulin is a hormone that regulates glucose concentration in the blood: one of the most common effects of uncontrolled diabetes is hyperglycemia, which seriously damages many organs and body systems over time. In this sense, the development of predictive software, the diagnosis, and subsequent treatment of diabetes, especially of type 1 and 2, which are the most frequent, deserve attention. This paper presents a systematic review of the literature to determine the methods and problems in constructing diabetes-oriented trend identification systems. The results show 16 construction methods used in these systems, the most efficient being logistic regression and artificial neural networks.

Automatic route generation is an essential tool for optimizing logistics, as it reduces operating costs and improves sustainability in a variety of scenarios. This work presents a systematic literature review based on the Kitchenham methodology, which is structured in three phases: planning, execution and reporting, through the analysis of relevant articles obtained from databases such as Scopus and ScienceDirect, 50 relevant studies were identified after the screening stages, Advanced techniques, models, and technologies were obtained that address the main challenges of logistics planning, including adaptation to dynamic environments and real-time decisionmaking. The findings highlight the positive impact of hybrid algorithms and emerging technologies such as the Internet of Things and vehicle connectivity, significantly improving operational efficiency and sustainability. However, chal...