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Abstract Recirculating aquaculture systems (RAS) and biofloc technology (BFT) are increasingly recognized as sustainable aquaculture approaches, as they enhance water-use efficiency, improve biosecurity, allow high produ...

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...

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...

This research focuses on developing a neural network model in the Python programming language to solve the technological problem of forecasting potato yields with limited agroclimatic data. The developed program is consi...

The issue of digitalization in agriculture is becoming particularly important in connection with implementing the national project on technological provision of food security in Russia, the component of which is technolo...

The article presents the developed algorithm and software for automated monitoring of strawberry plant growth using neural network technologies. The YOLO11x and YOLOx-seg models, pre-trained by transfer learning, are ada...

The investigation aims to address the pressing issue of excessive administrative burden on medical personnel in Ukraine, which leads to significant time expenditures and the risk of errors in manual documentation. As a r...

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...

A pressing issue in materials science is the controlled application of ceramic composite materials at high temperatures in modern technologies, particularly in nuclear physics, atomic energy, aerospace, and rocket engine...

Ziye Liu,1 Meiyu Deng,2 Bu Wang,2 Jianhua Liu,2 Wei Zhang,3,* Jianqing Zhao2,* 1Department of Respiratory Medicine, The First School of Clinical Medicine, Hebei North University, Zhangjiakou, Hebei, Peopl...

Background: Recent years have witnessed a surge in the integration of digital intelligence within dental education, with various technologies increasingly supporting clinical skill training and educational applications. ...

Abstract Microstrip filters are widely employed in radio fre-quency and microwave circuits due to their efficiency, easy fabri-cation, and compatibility with printed circuit board technologies. In this scenario, this wor...

In the context of the digital transformation of science and education, the widespread adoption of generative artificial intelligence models functions both as a useful software solution that optimizes routine processes an...

Abstract Purpose In dentistry, digital technologies have become firmly established in the field of oral implantology. The trueness of impressions taken using intraoral scanners as part of the digital workflow has a direc...

BackgroundThe adoption of digital technologies varies significantly across different regions, influenced by factors such as socioeconomic status, accessibility to resources, and educational opportunities. Maharashtra, on...

Abstract BackgroundAs Saudi Arabia aims to enhance the adoption and utilization of mobile health (mHealth) apps in the health care sector, it is vital to identify the potential challenges that may be faced in...

Produced water, generated as a byproduct of oil and gas extraction, is a complex mixture characterized by high salinity and the presence of hydrocarbons, heavy metals, salts, and production-related chemicals. Its large v...

Abstract Localisation of surgical tools constitutes a foundational building block for computer-assisted interventional technologies. Works in this field typically focus on training deep learning models to perform segment...

Robotic technologies are becoming more advanced and are becoming more popular. Requirements are high levels of accuracy and operational speed, such as in surgery and manufacturing. These targets were highly challenging a...

Virtual reality (VR) is one of the most common technologies nowadays, which make a virtual environment exactly similar to the real environment. The purpose behind this is to test several issues (designing or manufacturin...

Solar peer-to-peer (P2P) energy trading is a promising approach that allows prosumers and consumers to exchange energy directly, which reduces dependence on the centralized power grid. However, implementing such a P2P en...

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...

The global shift towards sustainable bioenergy demands not only improved biomass upgrading methods but also credible validation of their techno-economic and environmental feasibility at an industrial scale. Torrefaction ...

The purpose of this study is to examine the impact of green innovation products on an organization’s social performance through mediation of green supply chain management. Using stakeholder resource-based view theory a...