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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...

More flexible and cooperative decision-making processes are required as a result of society's digital transformation. The role of augmented intelligence, that is the synergistic fusion of artificial intelligence and huma...

Effective from Volume 3, JIWE has transitioned to a triannual publication release effort. Specifically, releases occur each February, June, and October. This June 2025 release contains 28 papers within the regular sectio...

Artificial intelligence (AI) applications have become increasingly popular in our society, affecting a plethora of fields such as business, education, engineering and sciences. In the fields of Medicine and Dentistry, AI...

           This article explores the ethical and moral implications of scientific discovery in Mary Shelley’s Frankenstein (1818), focusing on the destructive potential of unregulated ambition. Through Victor...

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...

Abstract Despite significant progress in the Prognostics and Health Management (PHM) domain using pattern learning systems from data, machine learning (ML) still faces challenges related to limited generalization and wea...

Car-following models (CFMs) are fundamental to traffic flow analysis and autonomous driving. Although calibrated physics-based and trained data-driven CFMs can replicate human driving behavior, their reliance on specific...

Unmanned aerial vehicles (UAVs) are increasingly crucial across various fields. There is a growing interest in using federated learning (FL) methods to enhance the efficiency of UAV operations. Nevertheless, incumbent me...

In recent years, the flipped learning (FL) model has emerged as an innovative and increasingly popular approach to education, transforming how students engage with content and enhancing overall learning outcomes. This mo...

Abstract As the manufacturing industry shifts toward environmentally sustainable practices, grinding—a high-precision processing method—is commonly used to ensure final workpiece dimensions and surface quality. The g...

Developing precise and computationally efficient traffic accident anticipation system is crucial for contemporary autonomous driving technologies, enabling timely intervention and loss prevention. In this study, we propo...

To address the challenges of aviation safety information overload in Pre-flight Information Bulletin (PIB) systems, this study proposes an intelligent classification framework (ERNIE-DPCNN) that integrates knowledge-enha...

Maintaining a balanced diet is essential for overall well-being, yet many individuals face challenges in meal planning due to time constraints, limited nutritional knowledge, and difficulty aligning meals with personal d...

Despite the call of digital financial services (DFS) to improve inclusive growth and reduce poverty, the adoption of DFS remains low in Nigeria. The objective of this study is to examine the barriers of ability, access a...

This work primarily focuses on diagnosis of heart disease before explicit visit to the expert doctor. Machine learning based systems have been found useful in medical diagnosis applications because of their ability to le...

Software refactoring is a crucial practice in modern software development methodologies, such as Agile and DevOps, as it enables teams to iteratively improve and evolve their codebases while minimizing the risk of introd...

With increasing public concern about autonomous vehicles, there is a growing demand for developing explainable autonomous driving planning technology. Traditional risk field methods use handcrafted potential field models...

To ensure safe driving in dynamic environments, autonomous vehicles should possess the capability to accurately predict lane change intentions of surrounding vehicles in advance and forecast their future trajectories. Ex...

Semantic scene completion (SSC) plays a pivotal role in achieving comprehensive perceptions of autonomous driving systems. However, existing methods often neglect the high deployment costs of SSC in real-world applicatio...