This study numerically investigates heat transfer in a large-format thermal-transfer printing head under pulsed heating. Results reveal a star-like temperature...
Climate change causes abiotic stresses such as drought, heat, high light, and salinity to occur simultaneously or sequentially, triggering unpredictable physiological...
This study evaluates a 17-session psychosocial intervention based on the Sports Education model for preadolescents from an ethnic minority community facing socio-educational...
The 4th International Conference on Energy Engineering (ICEE2026) will be held in Chiang Mai, Thailand from October 16 to 18, 2026. Jointly organized by Chiang Mai University and Tech...
The Canadian Journal of Urology (CJU) will attend the American Urological Association Annual Meeting (AUA 2026), taking place from May 14–18, 2026, in Washington, D.C.Representing the journal...
Knowledge distillation bridges the performance gap between camera-based and LiDAR-based 3D detectors by leveraging the precise geometric information from...
This paper provides a thorough examination of Genetic Algorithms (GAs), a category of evolutionary computation methods derived from the concepts of natural...
Topology optimization (TO) has become a core computational paradigm for structural design by defining optimality through physics-based objectives and...
Real-time prediction of temperature distribution in the pressurizer walls of Pressurized Water Reactors (PWRs) during severe accidents, such as Station...
To investigate the mechanism governing the continuous decline in fracture conductivity of unconsolidated sandstone reservoirs post-hydraulic fracturing,...
Addressing global climate challenges necessitates urgent low carbon transitions in high energy consuming enterprises (HECEs). This study proposes a comprehensive...
The advent of immune checkpoint inhibitors (ICIs) targeting PD-1, PD-L1, and CTLA-4 has transformed the therapeutic landscape of advanced non-small cell...
The rapid growth and accessibility of artificial intelligence (AI) and machine learning (ML) have opened many avenues to revolutionize biomedical research,...
Chronic myeloid leukemia (CML) is a hematopoietic malignancy originating from hematopoietic stem cells. It is characterized by the Philadelphia chromosome,...
Pancreatic ductal adenocarcinoma (PDAC) is currently the third leading cancer-related cause of death worldwide and is forecasted to become the second...
This paper provides a comprehensive review of recent advances in multi-scale modeling for simulating dynamic damage and fracture in metallic materials,...
This review examines current approaches to real-time decision-making and task optimization in Internet of Things systems through the application of machine...
3D single object tracking (SOT) based on point clouds is a fundamental task for environmental perception in autonomous driving and dynamic scene understanding...
This paper reviews the research progress and application prospects of machine learning technologies in the field of polymer materials. Currently, machine...
The direct conversion of solid-state heat to electricity using thermoelectric materials has attracted attention; however, their effective application...
In facial landmark detection, shape deviations induced by large poses and exaggerated expressions often prevent existing algorithms from simultaneously...
The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...
Cancer development and therapeutic response are governed not only by genetic alterations but also by dynamic regulatory mechanisms at the epigenetic and...
The transition toward decentralized smart grids is reshaping the way energy is generated, exchanged, controlled, and consumed. The increasing penetration...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...
Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...
In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...
The rapid evolution of next-generation intelligent networks and cyber-physical systems has transformed industries by enabling seamless connectivity, real-time...
Knowledge distillation bridges the performance gap between camera-based and LiDAR-based 3D detectors by leveraging the precise geometric information from...
This paper provides a thorough examination of Genetic Algorithms (GAs), a category of evolutionary computation methods derived from the concepts of natural...
Topology optimization (TO) has become a core computational paradigm for structural design by defining optimality through physics-based objectives and...
Real-time prediction of temperature distribution in the pressurizer walls of Pressurized Water Reactors (PWRs) during severe accidents, such as Station...
To investigate the mechanism governing the continuous decline in fracture conductivity of unconsolidated sandstone reservoirs post-hydraulic fracturing,...
Addressing global climate challenges necessitates urgent low carbon transitions in high energy consuming enterprises (HECEs). This study proposes a comprehensive...
The advent of immune checkpoint inhibitors (ICIs) targeting PD-1, PD-L1, and CTLA-4 has transformed the therapeutic landscape of advanced non-small cell...
The rapid growth and accessibility of artificial intelligence (AI) and machine learning (ML) have opened many avenues to revolutionize biomedical research,...
Chronic myeloid leukemia (CML) is a hematopoietic malignancy originating from hematopoietic stem cells. It is characterized by the Philadelphia chromosome,...
Pancreatic ductal adenocarcinoma (PDAC) is currently the third leading cancer-related cause of death worldwide and is forecasted to become the second...
This paper provides a comprehensive review of recent advances in multi-scale modeling for simulating dynamic damage and fracture in metallic materials,...
This review examines current approaches to real-time decision-making and task optimization in Internet of Things systems through the application of machine...
3D single object tracking (SOT) based on point clouds is a fundamental task for environmental perception in autonomous driving and dynamic scene understanding...
This paper reviews the research progress and application prospects of machine learning technologies in the field of polymer materials. Currently, machine...
The direct conversion of solid-state heat to electricity using thermoelectric materials has attracted attention; however, their effective application...
In facial landmark detection, shape deviations induced by large poses and exaggerated expressions often prevent existing algorithms from simultaneously...
The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...
Cancer development and therapeutic response are governed not only by genetic alterations but also by dynamic regulatory mechanisms at the epigenetic and...
The transition toward decentralized smart grids is reshaping the way energy is generated, exchanged, controlled, and consumed. The increasing penetration...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...
Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...
In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...
The rapid evolution of next-generation intelligent networks and cyber-physical systems has transformed industries by enabling seamless connectivity, real-time...
In response to the dynamic changes in fatigue damage location of crane welding structures under lifting loads and the difficulty in accurately obtaining the stress concentration factor of welds, which results in limited effetiveness of traditional health monitoring sensor placement. This paper proposes aa sensor placement optimization method that integrates damage prediction and risk assessment. Firstly, the influence of weld geometry on fatigue performance is analyzed, and a rapid estimation model for the stress concentration…
Accurate assessment of the failure stage of rail rolling contact fatigue (RCF) is critical for guiding timely maintenance by track personnel, ensuring safe rail operations, and reducing maintenance costs. Although various methods have been developed to detect rail damage and classify surface defects, the rolling contact fatigue failure state of rails has not yet been comprehensively and objectively evaluated. This paper introduces the application of image processing and improved deep-learning network algorithms in rail failure…
The inclination of wooden columns is a key indicator for evaluating the structural safety of traditional timber buildings in China. However, accurate measurement is challenging because these columns typically exhibit natural tapering, with diameters decreasing from the base to the top, and surface irregularities such as artificial cuts, cracks, and knots. Both the intrinsic geometric characteristics and surface defects reduce the precision of coordinate acquisition and the reliability of inclination estimation. To overcome these limitations,…
To enhance traffic infrastructure health monitoring via computer vision (CV) in adverse weather conditions, image dehazing has emerged as a critical processing step. However, current supervised dehazing models, typically trained on synthetic hazy-clean image pairs, often demonstrate limited generalization ability when deployed in real-world haze scenarios. This study proposes a novel unsupervised dehazing framework named the unpaired dual-domain dehazing network (UD3Net). Initially, a novel dual-domain convolutional mixer (DCM) is developed, which can extract local features in…
Key components of rail transit systems, such as tracks and vehicle bodies, are prone to developing various types and manifestations of defects during long-term operation. These defects not only accelerate component aging and failure but also pose serious threats to train operational safety. Among existing intelligent detection methods, they mostly rely solely on visible light images demonstrate limited robustness in complex scenarios. This limitation stems from their high dependence on ambient lighting conditions, rendering them…
Accurate assessment of gas explosion risks in urban underground culverts is often hindered by the decoupling of leakage diffusion and explosion mechanics. This study develops a high-fidelity numerical framework by implementing a one-way coupling strategy, where the steady-state methane concentration field simulated in FLUENT is mapped into ANSYS/LS-DYNA as the initial material status. Unlike traditional models assuming uniform gas distribution, this approach captures the realistic impact of complex culvert geometries on explosion precursors. A multi-material coupled…
This paper proposes a novel approach for predicting the residual strength of corroded pipelines by combining the Kernel Extreme Learning Machine (KELM) with Sparrow Search Algorithm (SSA) optimization. The proposed SSA-KELM model addresses the limitations of traditional evaluation methods and single machine learning models in residual strength prediction. A dataset comprising 80 samples from burst tests and finite element simulations was used to validate the model. Results demonstrate that the SSA-KELM model achieves superior prediction
Accurate characterization of live load histories remains critical for structural safety and efficient design; however, traditional codes often overestimate in-service loads. This study introduced an AI-driven framework integrating YOLOv8 object detection and DeepFace gender classification with continuous video surveillance to monitor live loads in academic buildings. Gender classification used local anthropometric data (77 kg males, 61 kg females) for precise load estimation, with privacy ensured via local processing and anonymized metadata only. Observed peaks were
This study experimentally investigates the Hybrid Effect of Steel Fiber (SF) and Recycled Rubber Powder (RRP) on Freeze-Thaw (F-T) Resistance and Pore Structure of Concrete. With respect to the mechanical properties of Steel Reinforced Concrete (SRC) before and after F-T cycles, the mixture incorporating 1.5% SF and 10% RRP achieves the optimal performance, exhibiting a distinct positive hybrid effect with the γ of the tensile-to-compressive strength ratio of 1.427. The synergistic interaction between SF and…
With the increasing environmental pressure caused by waste plastic (WP), incorporating recycled plastics into asphalt concrete has become a promising strategy for sustainable pavement construction. In this study, waste polyethylene terephthalate (PET) was utilized to replace mineral aggregates through a dry process, and the effects of particle size and replacement level on the mechanical performance of asphalt concrete were systematically evaluated. High-temperature deformation resistance was assessed using wheel-tracking tests, followed by dynamic modulus measurements to…
Many tests have been conducted over the years in Milan on moderately-thick concrete slabs—with diameter-to-thickness ratios of 5 and 5.5—either reinforced or unreinforced, all subjected to punching, with different mixes, reinforcement technologies, and loading procedures. Their results are revisited systematically in this paper, starting from a thorough review of the literature on moderately thick concrete slabs. The specimens were either square (but fastened to a circular support) or circular. In three experimental campaigns, 99 specimens…
Polyethylene (PE) pipes are widely used in various gas transmission applications due to their excellent flexibility and other advantages. As high-molecular-weight non-metallic polymeric materials, they inevitably undergo degradation and aging during service under the action of environmental factors such as temperature and ultraviolet (UV) radiation, which impairs their service performance. To investigate the effects of environmental factors on the aging and degradation of PE pipes, a reliable method for predicting their service life was developed…
This study presents a comprehensive investigation into the deformation mechanisms of existing metro stations subjected to the simultaneous construction of adjacent foundation pits and underground tunnels. A refined three-dimensional numerical modeling framework is developed to simulate the entire construction process, capturing the complex interactions between excavation activities and station structures. The modeling encompasses deep excavation, side-crossing, and overcrossing passage construction, and the staged installation of support systems. Six construction schemes, varying in excavation sequence, interlayer…
This study investigates the contribution of fibers to the durability of reinforced concrete tunnel linings. Two cast-in-situ tunnels are herein analyzed after twenty years of service. Tunnel #1, made with plain concrete and steel rebar, has shown significant spalling at joints between two consecutive tunnel panels, caused by poor workmanship and construction details. Conversely, in Tunnel #2, close to Tunnel #1 on the same motorway, fiber-reinforced concrete (FRC) was used in combination with steel rebar. During…
Unsupervised machine learning has recently gained attention in structural health monitoring as engineers seek methods that can interpret large and complex data sets without prior labeling. Traditional diagnostic approaches often rely on predefined models or manual analysis, which limits their adaptability and efficiency when dealing with evolving structural behaviors or unforeseen conditions. Despite the growing interest in this domain, the literature remains fragmented, with limited systematic and bibliometric reviews that consolidate progress, identify prevailing trends,…
A composite bridge deck system consisting of an orthotropic steel deck and a normal-temperature-cured reactive powder concrete (RPC) layer is proposed to address the problems of pavement damage and fatigue cracks in steel bridge decks. In this study, a local finite element model of a bridge segment was established using ANSYS to calculate and compare the stress states of four deck systems: normal-temperature-cured RPC composite box girders, high-temperature-cured RPC composite box girders, pure steel box…
Guest Editors: Carlos Vargas-Salgado; Dácil Diaz-Bello Deadline: 30 April 2027
Guest Editors: Jungpil Shin; Yong Seok Hwang Deadline: 31 January 2027
Guest Editors: Qi Chen; Yunhui Tang Deadline: 31 December 2026
Guest Editors: Víctor García Deadline: 31 December 2026
Guest Editors: Dawei Jiang; Miaojun Xu; Bo Jiang; Zijian Wu Deadline: 31 December 2026
Guest Editors: Jian-Hong Ye; Weiguaju Nong Deadline: 31 December 2026
Guest Editors: Changhong LINGHU; Hoon Eui Jeong; Ying Jiang; Jiangtao Su; Yangchengyi... Deadline: 30 December 2026
Guest Editors: Fátima Martel Deadline: 30 November 2026
Guest Editors: Wei-Chiang Hong; Yi Liang; Ming-Wei Li; Zhong-Yi Yang Deadline: 30 November 2026
Guest Editors: Yahya Bachra Deadline: 30 November 2026
Guest Editors: Syed Mahmood; Pornanong Aramwit Deadline: 30 November 2026
Guest Editors: Emilio Cervantes Deadline: 31 October 2026
Guest Editors: Maria Letizia Motti; Immacolata Belviso Deadline: 31 October 2026
Guest Editors: Batyrkhan Omarov; Daniyar Sultan; Bakhytzhan Kulambayev Deadline: 30 October 2026
Guest Editors: Daniel-Ioan Curiac; Dan Pescaru Deadline: 15 October 2026
Guest Editors: Barmak Honarvar Shakibaei Asli Deadline: 01 October 2026






