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In recent years, Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) have gained significant momentum in the automation of software development. Although, previous research studies have also explo...

Advances in Artificial Intelligence (AI), particularly through Machine Learning (ML) and Deep Learning (DL), have enabled innovative solutions in industries including automotive, healthcare, and transportation. These tec...

El desarrollo de productos de software que consideren aspectos de ciberseguridad en el diseño sigue representando un reto considerablemente alto para los equipos encargados de su construcción. En la Ingeniería de Soft...

This article provides an in-depth analysis of how virtual and augmented reality (XR) application development has evolved since the emergence of affordable XR hardware in the mid-2010s. Based on surveying 158 XR developer...

In recent years, generative artificial intelligence represented by large language models (LLMs) and multimodal large language models (MLLMs) has achieved remarkable progress. These ultra-large-scale and complex models im...

The February 2026 issue presents 17 research papers within its regular section, covering a wide range of areas including Artificial Intelligence (AI), Machine Learning (ML), Web and Cloud Technologies, Recommender System...

У статті досліджено трансформацію процесів розробки програмного забезпечення під впливом технологій штучного інтелек...

As Machine Learning Operations (MLOps) adoption accelerates, systematic integration of explainability is imperative for reliability, transparency, and continuous quality assurance. This paper presents a scoping review ex...

Anaerobic co-digestion of livestock waste presents a viable approach for addressing environmental challenges and reducing greenhouse gas emissions in semi-urban and rural contexts. This study focuses on the development o...

Regression testing plays a critical role in ensuring the reliability and quality of software following continuous integration and development. However, executing all test cases during regression testing can be time-consu...

Dear Readers,It gives me great pleasure to announce the fourth regular issue of 2026. In this issue, 6 papers by 25 authors from 6 countries - Colombia, Greece, Mexico, Republic of Serbia, South Africa, Türkiye ...

The remarkable success of large language models (LLMs) in code generation has transformed software development, with systems like Codex, CodeGen, and StarCoder demonstrating strong capabilities in synthesizing functional...

Objective and MethodTo achieve rapid coalbed methane (CBM) extraction from broken-soft coal seams using surface horizontal wells, this study proposed a volume fracturing technology for coal seam roof using horizontal wel...

Malware represents the most critical threat in cybersecurity, meant to compromise the security for any individual or any organization. These are covert software, designed to perform malicious act like data theft, data al...

This article examines the startup period of a natural gas pipeline cryogenic reduction unit (CRU) within a gas distribution station (GDS). The objective of the study is to determine the temperature distribution within a ...

Disease Diagnosis in crops is a very expensive and lengthy process, as it often involves the need for few experts to make observations, leading to delayed diagnosis, viral spread of diseases, and thus, massive economic l...

Neighbourhood theft persists in peri-urban and urban Tanzania despite widespread community-led guarding. While commercial guard-tour systems exist, they do not fit neighbourhood committee realities of member contribution...