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Abstract Against the backdrop of urgent demand for efficient scheduling and precise services in university innovation and entrepreneurship ecosystems, this study proposes an optimization path for ecosystem construction i...

Background: The rapid development of artificial intelligence (AI) has significantly influenced various aspects of education, particularly in academic writing. English language education students are increasingly utilizin...

Abstract Surgical planning for clear cell renal cell carcinoma (ccRCC) is highly dependent on tumor aggressiveness. However, current decisions are predominantly based on postoperative pathology, limiting opportunities fo...

Background Artificial intelligence (AI) is playing an increasingly important role in diagnostic imaging, helping specialists improve the quality and speed of medical services. Despite the potential of AI, electroradiolog...

This study utilizes the DALL-E artificial-intelligence (AI) model to generate both traditional and modern architectural visuals that follow the Kıyıköy Conservation Master Plan for the historic coastal town of Kıyık...

Background: The use of Artificial Intelligence (AI) technologies in teaching and learning at universities is unavoidable trend in the Industry 4.0 age. This study uniquely integrates the 5E learning model with ChatGPT in...

This study examines the role of artificial intelligence in improving the efficiency of photovoltaic (PV) systems through maximum power point tracking (MPPT) under dynamic operating conditions. A simulation-based model wa...

Abstract Background Chronic kidney disease (CKD) frequently causes death in older cats; its early detection is challenging. Objectives To build a sensitive and specific model for early prediction of CKD in cats using art...

This study introduces a framework for cyber threat intelligence aimed at enhancing Türkiye’s proactive cybersecurity capabilities, specifically addressing security vulnerabilities. A geographic analysis involving 11,...

Abstract This article argues that a register-based Multi-Dimensional (MD) description is a suitable route for characterizing AI-generated language in corpus linguistics. The argument is illustrated with two sample studie...

Abstract Generative artificial intelligence is reshaping how researchers discover protein-binding compounds and develop them into drug candidates. Unlike traditional methods that screen existing molecules, structure-base...

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...

Artificial intelligence (AI) is rapidly being adopted across public and private sectors. This offers significant gains in efficiency, decision making, and access to information. At the same time, AI introduces complex ri...

ABSTRACT Background and Aims Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), is transforming healthcare by enabling improved diagnosis, prognosis, and personalized treatments. How...

Abstract Artificial intelligence (AI) is increasingly used in gastrointestinal endoscopy for polyp detection and classification. However, most AI models are trained on images from multiple video processors, whereas clini...

Abstract This study examines the influence of divisor selection on the efficacy of advanced analytical spectrophotometric methods that integrate artificial intelligence (AI), green-chemistry principles, and white-analyti...

Globally, several countries have begun to promote the application of building information modeling (BIM) technology and implement BIM-based building e-Permit systems. Despite the relatively rapid updates in the field of ...

Grounded in the need to modernize science education and promote learner-centred approaches, this study examined the effectiveness of integrating context-based 7E instructional strategies, rooted in constructivist learnin...

Abstract Background Knee osteoarthritis (OA) is a leading global cause of disability, yet conventional tools lack sensitivity for early detection and precise prognostication. Artificial intelligence (AI) and machine lear...

Nazgul Omarbekova,1 Berik Koichubekov,1 Khamida Abdikadirova,2 Marina Sorokina,1 Azamat Kharin,1 Manshuk Nurmaganbetova3 1Department of Informatics and Biostatistics, Karaganda Medical University, Karaganda, Kazakhstan; ...

Abstract Bunker fuel prices constitute a major component of maritime transport costs, representing 30–70% of total operating expenses and critically influencing competitiveness, planning, and regulatory compliance in g...

The growing interest in current approaches to communicative foreign language teaching should encourage a stronger commitment to the didactics of phraseology in Spanish as a foreign language classroom and open the way for...

Botnet communications often rely on Domain Generation Algorithms (DGAs) to establish channels among attack orchestrators and compromised hosts (bots). Our approach leverages on Artificial Intelligence (AI) to differentia...

Abstract Background Sarcopenia is a muscle disease that increases the risk of falls, fractures, and mortality. Appendicular lean mass (ALM) assessment is central to its diagnosis, but standard methods like dual-energy X-...