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One of the most important mission-driven objectives of a university is research, which is justified by three key reasons: a) to deepen knowledge until it becomes accessible to the public, b) to push the boundaries of kno...

Natural language understanding systems require a knowledge base provided with formal representations reflecting the structure of human beings' cognitive system. Although surface semantics can be sufficient in some other ...

Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some k...

Annually, the Technological University of Pereira has been carrying out some events in the line of Social Appropriation of Knowledge. This has been done through the research, innovation, and extension Vice Rectory, moreo...

Abstract Machine learning (ML) has powerful nonlinear processing and multivariate learning capabilities, so it has been widely utilised in the fatigue field. However, most ML methods are inexplicable black-box models tha...

Machine learning (ML) is becoming increasingly crucial in many fields of engineering but has not yet played out its full potential in bioprocess engineering. While experimentation has been accelerated by increasing level...

Metasurfaces offer a versatile platform for engineering the wavefront of light using nanostructures with subwavelength dimensions and hold great promise for dramatically miniaturizing conventional optical elements due to...

This report provides an overview of the Invited Session titled "Computer Science for Green Technologies and Sustainable Development", held during the 27th International Conference on Knowledge-Based and Intelligent Infor...

Manufacturing experiments are one of the features of Kosen education. In this study, we introduce experiments that can be learned in a fun way in electronic information engineering subjects. Namely, Ohm’s law, flip-flo...

The article talks about the increasing importance of the practical use of fuzzy differential equations in modeling complex problems in various fields, such as science and engineering, as these differential equations allo...

Subjects / keywords: Curriculum; Computer science; Field (mathematics); Engineering ethics; Knowledge management; Management science; Psychology; Pedagogy; Engineering; Pure mathematics; Mathematics

The loads on structures and infrastructures as well as their self-weight are as a set of forces that need to be always transmitted to the ground.This is achieved by means of a foundation,a system composed of a structural...

Dive into the insightful world of "Sustainable Communities" by Diego Hidalgo-Oñate where the author embarks on an enlightening journey to unravel the intricacies of crafting sustainable societies. This book serves as a...

The future of space operations graduate education is reliant on industry leaders’ contributions to help forecast the needs of the industry. The aim of the current study is to build consensus on the future direction of ...

Abstract The meta-heuristic algorithm with local search is an excellent choice for the job-shop scheduling problem (JSP). However, due to the unique nature of the JSP, local search may generate infeasible neighbourhood s...

Abstract This work presents an adaptive hybrid signal precoding strategy for Cell-Free (CF) Massive multiple-input multiple-output (MIMO) systems. The proposed solution exploits the advantages of both distributed and cen...

Abstract This paper is regarding the statistical coexistence analysis between a cluster of International Mobile Telecommunication 2020 (IMT-2020) Base Stations and an Aircraft Earth Station (AES) operating during flight ...

Abstract Deep learning (DL) is progressively popular as a viable alternative to traditional signal processing (SP) based methods for fault diagnosis. However, the lack of explainability makes DL-based fault diagnosis met...

The role of the early warning system by the KP2C Community in providing information on flood disasters that often occur in the Cileungsi – Cikeas watershed really helps the community in reducing the impact of the unavo...

Solving optimal control problems serves as the basic demand of industrial control tasks. Existing methods like model predictive control often suffer from heavy online computational burdens. Reinforcement learning has sho...