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classification processes » pacification processes (Expander búsqueda), classification trees (Expander búsqueda), identification processes (Expander búsqueda)
a classification » _ classification (Expander búsqueda), abc classification (Expander búsqueda), image classification (Expander búsqueda)
classification processes » pacification processes (Expander búsqueda), classification trees (Expander búsqueda), identification processes (Expander búsqueda)
a classification » _ classification (Expander búsqueda), abc classification (Expander búsqueda), image classification (Expander búsqueda)
1
artículo
Publicado 2022
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“The most devastating disease to humanity is commonly known as elephantiasis. Infection usually acquired in childhood but visible indication like pain, disfiguring occur later in life. Severely affected people will have a permanent disability. Not only had it generated physical challenges it also cost for social, psychological, and economical losses. The impact of the disease is so painful and devastating among young men and women as they live with the lifelong disfiguring condition. As the parasite attacks directly to the lymphatic system of the body whose primary function is to drain all the harmful components and impurities from tissues and cells also make a strong immune system of the body to fight against infection and diseases. Since the parasite attack damages the lymphatic vessels and capillaries. Hence the effect is on the flow of lymph resulting in lymphoedema. 90% of the cas...
2
artículo
Publicado 2022
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“The most devastating disease to humanity is commonly known as elephantiasis. Infection usually acquired in childhood but visible indication like pain, disfiguring occur later in life. Severely affected people will have a permanent disability. Not only had it generated physical challenges it also cost for social, psychological, and economical losses. The impact of the disease is so painful and devastating among young men and women as they live with the lifelong disfiguring condition. As the parasite attacks directly to the lymphatic system of the body whose primary function is to drain all the harmful components and impurities from tissues and cells also make a strong immune system of the body to fight against infection and diseases. Since the parasite attack damages the lymphatic vessels and capillaries. Hence the effect is on the flow of lymph resulting in lymphoedema. 90% of the cas...
3
artículo
Publicado 2023
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A dissatisfied customer with a product and/or service is motivated to express a complaint. Classifying complaints manually is a process that represents high costs in human and material resources. Artificial Intelligence (AI) allows the use of various algorithms to perform tasks that can simulate human intelligence, a branch of this is Natural Language Processing (NLP), its objective is that machines have the capacity to understand human language, allowing, for example, to classify and categorize data automatically. This article provides a systematic review of the literature addressing challenges in the classification of complaint texts, such as the lack of class balance, the presence of unlabeled data, and the interpretation of model results. Preprocessing techniques are explored, such as tokenization, stopword removal, and lemmatization, which influence model performance. Additionally, ...
4
tesis de grado
Publicado 2024
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Las tecnologías emergentes posibilitan reenfocar las estrategias de comunicación e interacción con los clientes y usuarios con innovaciones importantes, tales como el uso de vídeos de 360 y la realidad virtual inmersiva (VR) en la promoción turística y hotelera. El objetivo de este trabajo es aprovechar estas tecnologías para optimizar la creación de experiencias en 360, a partir de una automatización de procesos enfocada en la clasificación de imágenes que compondrán dicha experiencia. En nuestra propuesta diseñamos una red neuronal convolucional (CNN), cuyas funciones esenciales son el proceso de extracción de características y el proceso de clasificación y salida de imágenes, debido a que serán utilizados para la composición de tours virtuales. La etapa de extracción de características, está compuesta por varias capas ocultas, como la capa de convolución, la fun...
5
artículo
Publicado 2019
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This article presents a methodology that applies natural language processing and classification algorithms by using data mining techniques, and incorporating procedures for validation and verification of significance. This is conducted according to the analysis and selection of data and results based on quality statistical analysis, which guarantees the effectiveness percentage in knowledge construction. The analysis of computer incidents within an educational institution and a standardized database of historical computer incidents collected by the Service Desk area is used as case study. Such area is linked to all information technology processes and focuses on the support requirements for the performance of employee activities. As long as users’ requirements are not fulfilled in a timely manner, the impact of incidents may give rise to work problems at different levels, making it d...
6
artículo
Publicado 2019
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This article presents a methodology that applies natural language processing and classification algorithms by using data mining techniques, and incorporating procedures for validation and verification of significance. This is conducted according to the analysis and selection of data and results based on quality statistical analysis, which guarantees the effectiveness percentage in knowledge construction. The analysis of computer incidents within an educational institution and a standardized database of historical computer incidents collected by the Service Desk area is used as case study. Such area is linked to all information technology processes and focuses on the support requirements for the performance of employee activities. As long as users’ requirements are not fulfilled in a timely manner, the impact of incidents may give rise to work problems at different levels, making it d...
7
artículo
Publicado 2022
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In this research satellite image classification for environmental change prediction using image processing and machine learning methods is used. As we know satellite images is one of the important sources of collecting information for all area and region of interest which is suitable for any difficult situation around the world. The satellite image helps in collecting information on areas which is unpredictable and unreachable through digital cameras. In this research work, an advanced study on environmental change perdition has been examined using three classes’ ice land area, cropland area, and forest area. This research help in characterizing the type of satellite image classification for the particular three classes. The following stages have been considered are preprocessing, segmentation, and classification methods using K- Nearest Neighbor classifier. The present investigation r...
8
artículo
Publicado 2023
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The massive use of social networks and the anonymity that this provides has made possible not only the immediate communication between users, but also the spread of hate speech against certain groups of our society in the form of offensive messages to them, this has led to a serious social problem, which remains a topic of current research along with NLP. The purpose of the present work is to make a comparison of our "HateCheck" recognition model against the author's results, using the same database as them. To do so, we will make use of the main metrics such as: precision, recall and F1.
9
artículo
Publicado 2024
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Toxicity can have a major impact on player engagement and satisfaction. It is a complex phenomenon that has diverse causes and consequences. Among the most common causes are anonymity, competitiveness and frustration. The consequences can be serious, such as harassment, abandonment of the game and psychological damage. Gaming companies are working to find ways to address forms of toxicity on their platforms. One of the most common interactions with toxicity occurs in chat windows or in-game messaging systems. The proposed work is to pull some chat messages that occur in these "lobbies" or take them offline so that they can be categorized to determine if the player who wrote in the chat committed an infraction and depending on the category take action on the case.
10
artículo
Publicado 2024
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This project focuses on developing an NLP-based text analysis tool to evaluate Android app user feedback, specifically collected from F-Droid. The lack of an automated solution to analyze and understand these opinions, classifying them into specific topics, motivates research. The goal is to provide developers, users, and data analysts with a detailed view of user preferences and perceptions. Using data sets in English between 2014 and 2017, the proposal is implemented in Python with the Pandas library. The BERT model is used for classification, with a specific focus on the comparison of different models. The graphical interface is built in Visual Studio, allowing users to enter comments and obtain topic rankings, along with word cloud visualizations.
11
artículo
Publicado 2023
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The present project consists of developing a Natural Language Processing model to classify news using a set of data or DataSets already evaluated. The main objective is to create a system that can automatically identify and assign news to one of the predefined categories: business, entertainment, politics, sports or technology. This involves data preprocessing, feature extraction, training a machinelearning model and then evaluating its performance using metrics such as "accuracy", "recall 2" F1 - score". This will allow to determine how well the model can predict the correct category for a new or unlabeled news item. If the performance of the model is satisfactory, it can be used to classify unlabeled news in real time. In summary, it seeks to provide an efficient and accurate solution for organizing and labeling the informative content of a news item with the help of Artificial Intelli...
12
artículo
Publicado 2020
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The process of classification of the raw material, is one of the most important procedures in any tea dryer, being responsible for ensuring a good quality of the final product. Currently, this process in most tea processing companies is usually handled by an expert, who performs the work manually and at his own discretion, which has a number of associated drawbacks. In this work, a solution is proposed that includes the planting, design, development and testing of a prototype that is able to correctly classify photographs corresponding to samples of raw material arrived at a dryer, using intelligence techniques (IA) type supervised for Classification by Artificial Neural Networks and not supervised with K-means Grouping for class preparation. The prototype performed well and is a reliable tool for classifying the raw material slammed into tea dryers.
13
artículo
Publicado 2023
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Today there are many signs of depression, as well as many suicide attempts caused by this emotional disorder, and this is reflected mostly on social networks, mainly on Twitter. For this reason, it is important for specialists and organizations seeking to safeguard people's lives to use software tools to address this problem. For this, in this work a web tool called "UBDevs-Depression-Classifier" is proposed, that allows you to automatically obtain and classify tweets for a specific topic. A greater emphasis was placed on tweets related to COVID-19in the years 2020-2021 the world experienced a pandemic that increased cases of depression in many places. This research proposal focuses on the use of a model based on NLP (Natural Language Processing) for the classification of Tweets in order to find those that incite depression or imply that users are in a bad mood, all this in order t...
14
artículo
The information and communications technologies are revolutionizing the classic ways of carrying out the processes, in particular, for the teacher selection processes we have the classic form of evaluation, according to the criteria of each educational institution, in the present work it is presented a teacher selection model, using neural networks, using 3 criteria and 23 characteristics, which are entered into individual networks for each criterion and additionally a network for the final classification, is presented based on a prototype, an application developed with the computational tool Matlab, which is described in detail for its application and scaling, for purposes of measuring the performance of the network, evaluations were carried out with a group of 30 candidates, grouped into two groups, a group of 15 candidates with positive conditions complying with the policies of the ed...
15
artículo
Publicado 2023
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Identifying and classifying text extracted from social networks, following the traditional method, is very complex. In recent years, computer science has advanced exponentially, helping significantly to identify and classify text extracted from social networks, specifically Twitter. This work aims to identify, classify and analyze tweets related to real natural disasters through tweets with the hashtag #NaturalDisasters, using Machine learning (ML) algorithms, such as Bernoulli Naive Bayes (BNB), Multinomial Naive Bayes (MNB), Logistic Regression (LR), K-Nearest Neighbors (KNN), Decision Tree (DT), Random Forest (RF). First, tweets related to natural disasters were identified, creating a dataset of 122k geolocated tweets for training. Secondly, the data-cleaning process was carried out by applying stemming and lemmatization techniques. Third, exploratory data analysis (EDA) was performed...
16
artículo
Publicado 2022
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The following study proposes to analyze and compare the computational response provided by the Single Board Computers (SBC) Raspberry Pi CM4 and Nvidia Jetson Nano because those are important elements in machine learning applications and implementation of automated systems. Both were chosen due to their similar specifications to achieve a fair comparison. For the development of this research, an algorithm was implemented with a Support Vector Machine to be able to compare the performance in real-time of both computers based on performance metrics such as execution time, algorithm accuracy, CPU performance, and temperature. To validate results, there is a database of 2186 white asparagus images, which were classified based on attributes such as length, curvature, diameter, and purple hue. These attributes are established by the Peruvian Asparagus and Vegetable Institute (IPEH) in the Peru...
17
tesis de grado
Publicado 2025
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Inventory management has a valuable role because it identifies the loss of raw materials and maintains the economic sustainability of companies in the market. This research aims to measure inventory control and provide analysis through appropriate methodologies, such as the ABC classification system and the weighted moving average, improving warehouse management and the sales level of the company Tectum. For this purpose, the preliminary diagnosis was made employing a survey, considering The permanence at work, economic situation, classification of products according to importance, frequency of registration of inputs and outputs, knowledge of inventory management and control, and its application; which gave as a primary result that, despite not knowing the storage of products thoroughly, if they know their benefits, so they keep a record where they are classifying the products by importa...
18
artículo
The present work proposes a classification of the hero or migrant wakcha within the Andean universe, characterized by the manifestations of a mythical rationality typical of non-Western cultures. In this sense, interdisciplinary studies of the Andean oral tradition are used to first describe the particular worldview of the character and then to propose the classification of the character based on his migratory experience. For this purpose, it first describes some aspects of the Andean universe that correspond to a cyclical view of time, whose imbalance forces population displacement. Secondly, the attributes of the hero or migrant wakcha are presented as an element of an interrelated whole, according to their own worldview, and their role as chakana is established in their process of rearticulation of their universe. Finally, as a result of this research, the relevance of a classificatio...
19
artículo
Publicado 2020
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Palm swamps are ecosystems with a predominant presence of the palm Mauritia flexuosa, which provides important socio-economic and environmental benefits to the inhabitants of the Peruvian Amazon. The objective of this study is to determine the extent of palm swamp forest in the Ucayali region, Peru, through the supervised classification method of satellite images generated by the LANDSAT 8 Earth Observation satellite through the OLI-TIRS sensor, corresponding to Ucayali region in 2017. We visually interpreted the combination of bands 5 (Near Infrared (NIR), with wavelengths of 0.85 - 0.88 μm), 6 (Short Wave Infrared 1 (SWIR 1), with wavelengths of 1.57 - 1.65 μm) and 2 (Blue, with wavelengths of 0.45 - 0.51 μm) to obtain the map of palm swamp forest with an interpretation scale of 1:100 000 and a minimum mapping area of 5.00 ha. We determined a coverage of 65 120.04 ha of palm swamp f...
20
artículo
Publicado 2021
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We want to thank the Image Processing Research Laboratory. (INTI-Lab) and the Universidad de Ciencias y Humanidades. (UCH) for their support in this research, the National Fund for. Scientific, Technological and Technological Innovation (FONDECYT), according to the research: ?SAMAYCOV: ?Desarrollo de un dispositivo electr?nico port?til a bajo costo para evaluar riesgo de neumon?a basado en sonido pulmonar anormal en pacientes con sospecha de COVID-19 en zonas vulnerables?. CONVENIO 054-2020-FONDECYT?; for the financing of this research and the Electronics Laboratory of the UCH for assigning us their facilities and being able to carry out the respective tests.
