This editorial outlines the evolving role of thermo-fluid sciences in advancing sustainable energy systems amid the global energy transition. It highlights key research frontiers, including decarbonization of thermal power and propulsion, next-generation renewable thermal technologies, advanced ther...

Gas leakage poses a significant hazard in chemical industry operations, where failure to respond rapidly to gas diffusion can lead to poisoning, fire, or explosion. Timely and accurate prediction of gas dispersion is therefore essential for emergency decision-making and operational safety. While exi...

Shale gas, as a typical low-quality marginal hydrocarbon resource, faces persistently high drilling costs, which have become one of the main bottlenecks restricting its large-scale development. The Southern Sichuan region of China holds enormous shale gas reserves and is a strategically important ar...

The ultra-deep tight sandstone gas reservoirs in the Tarim Basin, exemplified by the Keshen A gas reservoir, face escalating challenges of water invasion and pressure maintenance after years of production. Interlayers within these reservoirs serve as critical geological barriers, yet their spatial d...

This inaugural editorial aims to provide a comprehensive and in-depth exposition of the profound historical context, core academic value, and long-term vision underlying the establishment of ICCK Transactions on Intelligent Cyber-Physical Systems (hereinafter referred to as “the Journal”). We are st...

Saliency Object Detection-Based Medical Image Fusion concentrates on the most prominent anatomical parts that naturally attract attention. The process begins with a two-step pipeline. First, it identifies the salient regions those structures most critical to a diagnostic decision. These highlighted...

Recently, battle royale optimizer (BRO), a game-based metaheuristic search algorithm, has been proposed for continuous optimization, inspired by a genre of digital games known as "battle royale." In BRO, each individual chooses the nearest opponent as a competitor. For this purpose, the Euclidean di...

The rapid advancement of AI-based language models has transformed the field of Natural Language Processing (NLP) into a powerful tool for text generation. This study evaluates the performance of models in different categories such as factual accuracy, creative writing, open-ended writing, and techni...

This study addresses invisible watermarking techniques aimed at preserving patient privacy during the sharing of medical images. Digital watermarking is a significant method for protecting the confidentiality of patient data by securely embedding personal information into medical images. In this stu...

To investigate the decoupling effect of Foreign Direct Investment (FDI) on carbon emissions, this study employs nonlinear panel models and threshold regression models to analyze the impact of FDI on economic growth and carbon emissions in RCEP member countries from 2000 to 2023. First, the Tapio dec...