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Discover the nexus of Science, Technology, Engineering, and Medicine in our Multidisciplinary Open Access Journal – a platform for breakthroughs and collaborative expertise, driving knowledge and innovation. | Important Update! Building on our inaugural year's success, adjustments to article processing charges will take effect in October. More details coming soon!
Engineering

Information Engineering at IgMin Research | Engineering Group

Our mission is to foster interdisciplinary dialogue and accelerate the advancement of knowledge across a wide spectrum of scientific domains.

About

Information Engineering is a pivotal field that intersects technology and data management, driving innovations in our digital world. At IgMin Research, we explore the intricate web of Information Engineering, uncovering its significance and applications across various sectors. With a commitment to advancing knowledge and fostering collaborative research, our multidisciplinary journal delves into the methodologies, theories, and technologies that shape the way we manage, analyze, and utilize information in today's fast-paced society.

  • Data Modeling and Database Design
  • Information Retrieval and Storage
  • Data Privacy and Security
  • Knowledge Management Systems
  • Semantic Web and Ontology
  • Machine Learning for Information Processing
  • Natural Language Processing
  • Information Visualization
  • Big Data Analytics
  • Cloud Computing and Information Services
  • Decision Support Systems
  • Human-Computer Interaction
  • Information Architecture
  • Web Technologies and Services
  • Data Mining Techniques
  • Digital Transformation
  • Information System Development
  • Business Intelligence
  • Information Flow in Social Networks
  • Information Ethics and Policy
  • Information Quality and Validation
  • Cyber-Physical Systems
  • Computational Intelligence
  • Information Innovation and Entrepreneurship
  • Emerging Trends in Information Engineering

Engineering Group (2)

Research Article Article ID: igmin152
Cite

Open Access Policy refers to a set of principles and guidelines aimed at providing unrestricted access to scholarly research and literature. It promotes the free availability and unrestricted use of research outputs, enabling researchers, students, and the general public to access, read, download, and distribute scholarly articles without financial or legal barriers. In this response, I will provide you with an overview of the history and latest resolutions related to Open Access Policy.

Development of a Mechanical Seal Closed Design Model
by Serhii Shevchenko

The operating experience of mechanical seals shows that as a result of angular deformations of the rings, the wear of the contact surfaces along the radius is uneven. When designing mechanical seals, it is necessary to calculate the amount of expected leakage through the seal, friction power consumption, as well as the possible durability of the unit. These calculated dependencies and estimates are obtained based on the constructed mechanical seal model. In the area of hydrodynamic load support in the case of a confusor joint or a converging fi...lm, the slope of the pressure diagram is such that a decrease in the film thickness increases the hydrodynamic support. This is referred to as enabling stable non-contact sealing operation. The execution of the rubbing surfaces of the interface of the end pair should ensure the formation of the calculated confusor shape of the sealing gap in all modes of operation and axisymmetric pressure fields during the rotation of the rotor.

Information Engineering SensorsArtificial Intelligence
Research Article Article ID: igmin140
Cite

Open Access Policy refers to a set of principles and guidelines aimed at providing unrestricted access to scholarly research and literature. It promotes the free availability and unrestricted use of research outputs, enabling researchers, students, and the general public to access, read, download, and distribute scholarly articles without financial or legal barriers. In this response, I will provide you with an overview of the history and latest resolutions related to Open Access Policy.

Enhancing Missing Values Imputation through Transformer-Based Predictive Modeling
by Hina Ayub and Harun Jamil

This paper tackles the vital issue of missing value imputation in data preprocessing, where traditional techniques like zero, mean, and KNN imputation fall short in capturing intricate data relationships. This often results in suboptimal outcomes, and discarding records with missing values leads to significant information loss. Our innovative approach leverages advanced transformer models renowned for handling sequential data. The proposed predictive framework trains a transformer model to predict missing values, yielding a marked improvement i...n imputation accuracy. Comparative analysis against traditional methods—zero, mean, and KNN imputation—consistently favors our transformer model. Importantly, LSTM validation further underscores the superior performance of our approach. In hourly data, our model achieves a remarkable R2 score of 0.96, surpassing KNN imputation by 0.195. For daily data, the R2 score of 0.806 outperforms KNN imputation by 0.015 and exhibits a notable superiority of 0.25 over mean imputation. Additionally, in monthly data, the proposed model’s R2 score of 0.796 excels, showcasing a significant improvement of 0.1 over mean imputation. These compelling results highlight the proposed model’s ability to capture underlying patterns, offering valuable insights for enhancing missing values imputation in data analyses.

Information Engineering SensorsArtificial Intelligence