Discrepancy analysis in university curriculum evaluation DOI Creative Commons

Elias Mejia-Mejia,

Francis Díaz-Flores

Salud Ciencia y Tecnología - Serie de Conferencias, Год журнала: 2023, Номер 2, С. 541 - 541

Опубликована: Ноя. 11, 2023

Curriculum evaluation in university education is crucial to improve the quality of professional education. This paper proposes a rubric evaluate curriculum order obtain accurate information on its current state and guide restructuring according needs updating institutional demands. Emphasis placed adoption an objective methodological approach as opposed subjective criteria. The methodology used, called "discrepancy analysis", based theoretical model ideal with 10 components, each weighted value importance. how close or far it from this model, reflecting effectiveness quality. profile stands out fundamental source development curriculum, must be relevant, comprehensive consistent educational concept adopted by institution. A presented terms coherence, relevance, completeness, clarity structure. constituent elements such situational diagnosis, doctrinal framework, decisions scope work performance, are evaluated ensure their alignment training objectives labor market. organizational structure generation curricular units, design syllabus, writing summaries recommendations for syllabi aspects that coherence curriculum.

Язык: Английский

Application of augmented reality in automotive industry DOI Creative Commons
Denis González-Argote, Adrián Alejandro Vitón-Castillo, Javier González‐Argote

и другие.

EAI Endorsed Transactions on Internet of Things, Год журнала: 2024, Номер 10

Опубликована: Фев. 27, 2024

Introduction: Augmented reality is defined as a direct or indirect vision of physically real environment, parts which they are enriched with additional digital information relevant to the object that being looked at. In field engineering design, there wide range industries use this technology, such automotive, aircraft manufacturing, electronics, engineering; so it has gained popularity in assembly, maintenance and inspection tasks. The objective was characterize augmented automotive industry.Methods: total 20 articles Spanish English were reviewed, from Scopus, Science Dialnet; Using keywords: reality, industry, more than 50 % last five years.Result: its main advantage considered potential an interactive intuitive interface. It promises provide correct human operator at right time place. If ideal environment RA applied safely, adequate balance between automated processes control over them; level production quality will be positively affected.Conclusions: areas industry logistics maintenance, evaluation, diagnosis, repair, inspection, control, instruction marketing; order guarantee better work performance, productivity efficiency, mainly mediated by portable devices. Its degree acceptance, although growing, not yet clear.

Язык: Английский

Процитировано

31
Interaction between neuroscience and happiness: assessment from Artificial Intelligence advances DOI Creative Commons
Rolando Eslava Zapata, Verenice Sánchez Castillo,

Édixon Chacón-Guerrero

и другие.

EAI Endorsed Transactions on Pervasive Health and Technology, Год журнала: 2024, Номер 10

Опубликована: Март 18, 2024

INTRODUCTION: In recent years, there has been a convergence between Artificial Intelligence and neuroscience, particularly in studying the brain developing treatments for neurological disorders. neural networks deep learning provide valuable insights into processing functioning. Recent research tries to explain how processes influence an individual's happiness. OBJECTIVES: To evaluate interaction neuroscience happiness based on advances Intelligence. METHODS: A bibliometric analysis was performed with articles from Scopus database 2013-2023; likewise, VOSviewer used information processing. RESULTS total of 603 were obtained, it is evident that most significant scientific production centered United States (184), Kingdom (74), China (73). Three clusters are generated Co-occurrence - Author Keywords analysis. The first cluster, red, related applications predicting happiness; second green, associated tools neuroscience; third blue, psychology. CONCLUSION: Neuroscience made leaps understanding mental such as emotions consciousness. encountered opening up approach seeks evidence understand people's well-being supported by

Язык: Английский

Процитировано

5
Importance of the elements involved in occupational health and safety programs DOI Creative Commons
Hugo Daniel García Juárez, Alejandro Ticona Machaca, Delia Concepción Cahuana Pacco

и другие.

Salud Ciencia y Tecnología, Год журнала: 2024, Номер 4, С. 718 - 718

Опубликована: Март 16, 2024

Introduction: every person has a work activity to satisfy their basic needs, acquire what they want and contribute productively society. However, in any job there are certain circumstances, conditions risk factors which said worker is exposed. That is, accidents illnesses may occur that affect your physical or psychological well-being, making it necessary activate prevention environments. Objective: establish the importance of elements involved occupational health safety programs. Method: bibliographic review was carried out Scopus, Web Science SciELO databases. 35 articles were analyzed examined. Results: programs for well-being workers evident. Conclusion: companies must develop, implement constantly improve framework action order apply management process

Язык: Английский

Процитировано

5
An efficient fake news classification model based on ensemble deep learning techniques DOI Creative Commons

R. Uma Maheswari,

N. Sudha

Salud Ciencia y Tecnología - Serie de Conferencias, Год журнала: 2024, Номер 3, С. 649 - 649

Опубликована: Март 10, 2024

The availability and expansion of social media has made it difficult to distinguish between fake real news. Information falsification exponentially increased as a result how simple is spread information through sharing. Social dependability also under jeopardy due the extensive dissemination false information. Therefore, become research problem automatically validate information, specifically source, content, publisher, identify true or false. Despite its limitations, machine learning (ML) been crucial in categorization Previous studies suggested three-step methods for categorising on media. In first step process, data set subjected number pre-processing processes order transform unstructured sets into structured sets. unknowable properties news features are extracted by Lexicon Model second stage. third stage this project, feature selection method WOA (Whale Optimization Algorithm) weight value tune classification part. Finally, Hybrid Classification model that hybrid with fuzzy based Convolutional Neural Network kernel support vector constructed pertaining bogus However using single classifier detection produces insufficient accuracy. To overcome issue work introduced an improved classification. turn sets, variety operations used initial phase procedure. COA (Coati ensemble RNN (Recurrent Networks), VGG-16 ResNet50.A was developed recognise Evaluate each analysis' performance terms accuracy, precision, recall, F1 score. model, out all methodologies taken consideration study, provides highest outcomes, according experimental findings

Язык: Английский

Процитировано

3
Key players in renewable energy and artificial intelligence research DOI Creative Commons
Rolando Eslava Zapata, Verenice Sánchez Castillo, Emma Juaneda Ayensa

и другие.

EAI Endorsed Transactions on Energy Web, Год журнала: 2024, Номер 11

Опубликована: Фев. 22, 2024

INTRODUCTION: As countries work on the transition towards renewable energies that comply with 2030 Agenda and sustainable development goals, Artificial Intelligence is presented as a tool being adopted to promote generation of such solar or wind power. , given support it offers automation, assisted decisions, production efficiency. OBJECTIVES: To analyze key players in energy artificial intelligence research. METHODS: The Scopus database used obtain scientific articles for period 2013-2023, Visualization Similarities program (VOSviewer 1.6.18) data processing analysis. RESULTS: An analysis 822 shows highest are China (148), India (136) United States (81). In this regard, clear there significant collaboration between countries. With regard Co-occurrence - Author Keywords, three clusters generated. first cluster, identified color red, related management; second green, innovation; third blue, models. CONCLUSION: Researchers facing new challenges every day respond irruption use algorithms energies, range available tools deep learning neural networks. Research results have revealed recent years, has understood AI not trend but rather challenge society, industry, countries, education order achieve development.

Язык: Английский

Процитировано

2
Deep Learning Enabled Whale Optimization Algorithm for Accurate Prediction of RA Disease DOI Creative Commons

K. Prabavathy,

M. Nalini

Salud Ciencia y Tecnología - Serie de Conferencias, Год журнала: 2024, Номер 3, С. 652 - 652

Опубликована: Март 11, 2024

Whale Optimization Algorithm (WOA) is an optimization technique and based on food foraging behavior of whales. It has been applied in many domain including processing images, framework controls, ML (machine learning). WOA assists choosing the right parameters required for Deep Neural Networks. This work uses DNN to examine metacarpophalangeal (MCP) rheumatoid joint discomforts patients from diagnostic medical images X-rays or Magnetic Resource images. The use enhances resultant outcomes as it searched optimal solutions within search spaces, instead getting trapped local minima found by gradient descent. combination grading MCP arthritis can provide efficient accurate solution practitioners researchers

Язык: Английский

Процитировано

2
Workshops to convert the thesis into an academic article: an incentive to increase scientific production in universities DOI

María José Posca,

Silvana Bertacchini

Odontología, Год журнала: 2024, Номер 3, С. 127 - 127

Опубликована: Дек. 6, 2024

In the current academic context, scientific production is key to prestige and relevance of universities. The conversion theses into articles represents a fundamental strategy increase institutional visibility contribute advancement knowledge. However, many thesis works, despite their value, remain unpublished due lack experience in publication, knowledge editorial process limitations time resources. This article addresses importance thesis-to-article workshops as an effective means overcome these barriers, proposing implementation programs that offer support writing, mentoring resources, encouraging publication natural step research. It concluded adoption practices not only increases production, but also fosters culture excellence continuity university research

Язык: Английский

Процитировано

1
Más Allá de lo Convencional. Propuesta de Valor e Innovación Sostenible en la Transformación de la Epidermis y Almendra del Mango para ASAGRAT DOI Creative Commons

Luis Alberto Rojas Farfán,

Martha García López

Salud Ciencia y Tecnología - Serie de Conferencias, Год журнала: 2024, Номер 3, С. 347 - 347

Опубликована: Март 10, 2024

The main purpose of the article is to develop and implement strategies for sustainable utilization mango by-products, specifically peel kernel, with goal improving socio-economic situation farmers associated Association Farmers Tocaima (ASAGRAT). adopted research methodology grounded in two complementary approaches. Firstly, research-action employed, encouraging community participation at all stages process. Secondly, a mixed approach utilized, combining qualitative quantitative methods. Qualitative data collected through workshops, field journals, surveys, while technological surveillance supports decision-making access diverse information sources. This comprehensive encompasses improvement proposals, projections development new products that integrate into value chain processes studied population

Язык: Английский

Процитировано

0
An Energy-Efficient Cluster Head Selection and Secure Data Transmission in WSN using Spider Monkey Optimized Algorithm and Hybrid Cryptographic with Security DOI Creative Commons

M. Yuvaraja,

S. Sureshkumar,

S. Joseph James

и другие.

Salud Ciencia y Tecnología - Serie de Conferencias, Год журнала: 2024, Номер 3, С. 650 - 650

Опубликована: Март 10, 2024

To conserve energy in wireless sensor networks, clustering is the well-known strategies. However, choosing a cluster head that efficient crucial for best clustering. Because data packets must be transmitted between members and sink node, improper selection (CHs) uses more than other nodes. As result, it lowers network's performance lifespan. Due to requirement this network implement appropriate security measures guarantee secure communication. This paper provides novel technique addresses issues of networks’ lives usages using Spider Monkey Optimised Fuzzy C-Means Algorithm (SMOFCM). The CH chosen Optimisation method proposed SMOFCM approach, which builds on C-means framework. hybrid cryptographic WSN safe transmission because can address challenges such processing power, storage capability, energy. Rivest-Shamir-Adleman (RSA), advanced encryption standards (AES), suggested algorithm are all used at various stages. asymmetric key cryptography makes management simpler but symmetric offers high level security. AES has been created phase 1. Phase 2 employed RSA, phases were carried out concurrently. According simulation results, reduces use, lengthens lifespan, faster encryption, decryption, execution times

Язык: Английский

Процитировано

0
Design of a Classifier model for Heart Disease Prediction using normalized graph model DOI Creative Commons

B. Karthiga,

S. Sathya,

V.C. Bharathi

и другие.

Salud Ciencia y Tecnología - Serie de Conferencias, Год журнала: 2024, Номер 3, С. 653 - 653

Опубликована: Март 11, 2024

Heart disease is an illness that influences enormous people worldwide. Particularly in cardiology, heart diagnosis and treatment need to happen quickly precisely. Here, a machine learning-based (ML) approach anticipated for diagnosing cardiac both effective accurate. The system was developed using standard feature selection algorithms removing unnecessary redundant features. novel normalized graph model (n – GM) used prediction. To address the issue of selection, this work considers significant information approach. improve classification accuracy shorten time it takes process classifications, techniques are utilized. Furthermore, hyper-parameters learning evaluation have been accomplished cross-validation. performance evaluated with various metrics. on features chosen via representation. outcomes demonstrate suggested gives 98 % modeling intelligent detect classifier support vector

Язык: Английский

Процитировано

0