The articles included in this volume comprise contributions presented at the conference IEE2026, held on 5-6 February 2026 in Miskolc, Hungary as well as papers addressing topics within the scope of the conference, whose authors were invited to contribute to the publication. All of the articles were...

Software Defect Prediction (SDP) is an important software engineering task that aims to identify defective code early in the development lifecycle, thereby improving software quality and reducing maintenance costs. Traditional software defect prediction methods often rely on handcrafted features or shallow...

Machine vision has been reshaped over the past decade by the adoption of artificial intelligence, and by deep neural networks that learn visual features from data rather than relying on rules designed by hand. This paper reviews the principal AI technologies now employed in computer vision and examines...

Standard neural network classifiers assume a closed-world setting, where all test-time classes are known during training. In practice, models often face samples from unseen classes, a challenge known as open-set recognition. We investigate and compare two approaches: OpenMax, which fits a Weibull distribution...

Due to technological advancements, changing expectations of engineers, and shifts in students’ attitudes and preparedness, the conditions of engineering education are constantly evolving. Those involved in higher education pedagogy often attribute the learning difficulties observed in engineering subjects...

The complexity of engineering work and the engineers’ technical and social responsibility requires multifaceted preparation. Communication skills play a prominent role in this, determining both the efficiency of transferring information when dealing with complex systems and the success of dialogue with...

The rapid proliferation of autonomous artificial intelligence systems has precipitated a profound liability crisis that traditional engineering education is ill-equipped to address. Historically insulated by the “provided as-is” doctrine, software engineers now face an evolving geopolitical regulatory...

Tabu search relies on memory to prevent cycling and encourage the exploration of new regions of the search space. In many implementations, however, tabu memory is treated mainly as an implementation detail. Classical tabu lists store complete solutions or moves and identify only exact repetitions. For...

The rapid expansion of artificial intelligence is evident in both everyday life and scientific and technological domains. In higher education, students increasingly rely on AI-based tools in a wide range of learning activities, including the study of mathematics, which plays a fundamental role in engineering...

Vibe coding has become a recognizable label for conversational, flow-oriented AI-assisted programming. It promises speed, experimentation, and a strong sense of creative momentum, yet it also weakens direct code comprehension and can hide assumptions, risks, and architectural debt. This article proposes...

This paper presents a real-time robotic depalletising system that combines YOLOv8-seg-based instance segmentation with RGB-D depth sensing. Motivated by the successful transfer of segmentation paradigms from medical imaging to industrial robotics, the proposed system performs pixel-accurate object detection...

Accurate characterization of the geometric and surface properties of pressure ulcers is important for supporting therapeutic decisions and wound coverage planning. Three-dimensional scanning technologies provide new possibilities for capturing wound geometry in a digital form and enable more detailed...

This research explores the integration of Artificial Intelligence (AI) and Internet of Things (Iot) technologies into modern science education to bridge the”abstraction gap” between digital data and physical reality. By leveraging data-driven algorithms, the project transforms everyday smart devices...

In this position paper, we review the potential impacts of artificial intelligence on higher education in engineering, with a particular focus on changes in students’ cognitive abilities. We describe the emerging roles of university faculty in a world transformed by AI, and propose recommendations for...

With the rapid development of technology, intuitive educational tools are becoming increasingly important and popular, not only in elementary and secondary schools, but also in universities. This paper deals with the development of a program code and a visualization window, which can help students to...

Modern enterprises generate large volumes of operational data, yet senior decision-makers often rely on static reports, slide decks, and specialist dashboards that can fragment organizational understanding. This paper proposes Visual Enterprise Management (VEM), an early-stage conceptual framework for...

Universities are entering a period in which the classical image of learning and examination is no longer sufficient. Students no longer study only with a textbook, lecture notes, a deadline, and their own memory. Increasingly, they also work with Personal AI Agents (PAIAs) that explain difficult ideas,...

Artificial intelligence (AI) has become an integral part of healthcare, particularly in medical imaging. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are essential diagnostic modalities with different technical characteristics and clinical applications. The integration of AI into these...

The transition from secondary school to higher education can be a critical milestone in a student’s academic journey, particularly in STEM fields. Without a precise understanding of entry-level competencies, the design of university curricula rests on uncertain foundations. This study examines the necessity...

This study examines the integration of generative artificial intelligence into higher education, specifically in descriptive geometry education with special attention on the development of spatial reasoning skills. The research presents an innovative four-step pedagogical model based on diagnostic assessment,...

This case study reports on the results of a survey conducted among lecturers at the Faculty of Engineering of the University of Debrecen, which focused on lecturer attitudes and usage patterns related to the use of generative artificial intelligence (GenAI). The aim of the study is to collect and analyze...