Three-dimensional (3D) information technology has become an important technical support in digital heritage preservation practice. However, due to the lack of systematic quantitative research, it is difficult to form a comprehensive understanding of...
Commercial districts constitute an intensively used form of urban land, yet little is known about how commercial vitality is distributed across an entire urban land system, whether spatial disadvantage persists over time, and how such evidence can in...
Agricultural heritage systems are traditional agroecosystems formed through long-term ecological adaptation, farming practices, and local knowledge transmission. Their conservation depends not only on formal recognition but also on ecological support...
Financial fraud, as a salient manifestation of corporate governance failure, erodes investor confidence and threatens the long-term sustainability of capital markets. This study aims to develop and validate SFG-2DCNN, a multimodal deep learning frame...
Tourism development potential and observed development performance do not necessarily evolve synchronously, particularly in old industrial and restructuring regions where attraction supply, market linkage, and visitor experience may be spatially unev...
Agriculture faces growing pressure to optimize water use, particularly in woody perennial crops where irrigation systems are installed once and seldom redesigned despite changes in canopy structure, soil conditions, or plant mortality. Such static la...
The renewal of historic districts needs to address human-centered issues, such as cultural expression, spatial experience, and visual comfort, at the street scale. However, existing assessment methods predominantly rely on field surveys, expert judgm...
Hybrid CNN–Transformer (HCT) synthesis for automated neurodevelopmental diagnostics is an effective approach to constructing intelligent detection systems that are not merely oriented toward feature classification but primarily toward solving s...
Climate change is intensifying heat-related risks in Mediterranean urban environments, increasing the need for pedestrian-scale approaches that combine spatial diagnostics with lived thermal experience. The pilot study develops a three-layer diagnost...
Traditional villages commonly face functional decline and vitality loss amid modernization, which severely threatens the long-term cultural and ecological sustainability of rural heritage spaces. Commercial settlements, evolved along ancient trade ro...
Spatial data quality (SDQ) assessment often emphasizes technical conformance, but conformance alone does not establish whether a data product remains maintainable, interpretable, reusable, or trustworthy throughout its lifecycle. This paper proposes...
Underground space is increasingly positioned in contemporary urban discourse as a strategic resource for sustainable spatial and territorial development, particularly under conditions of limited surface capacity, growing infrastructural demand, and t...
Integration of LiDAR and thermal sensing has become increasingly important in robotics, infrastructure diagnostics, environmental monitoring, and autonomous perception systems. LiDAR sensors provide accurate three-dimensional geometric information bu...
Accurate anatomical landmark localization is essential to automate chest X-ray analysis and improve diagnostic reliability. While global context recognition is essential in medical imaging, the inherently high-resolution nature of these images has lo...
Automobile sales analysis provides an important basis for production planning, procurement, supply-chain coordination, inventory management, and dealership resource allocation. However, dealership sales are jointly influenced by operational practices...
Rural sustainability planning requires spatially explicit methods that integrate agricultural resource bases, ecological condition, low-carbon feasibility, community implementation support, and cultural landscape values. Although the Circular and Eco...
The sustainability of reservoir resettlement depends on the synergistic development of resettlers’ livelihoods and host regions; however, existing studies lack an integrated analytical framework. Combining the Sustainable Livelihoods Framework...
Terrestrial ecosystem carbon absorption capacity has become an important component of China’s strategy to enhance nature-based climate mitigation. However, existing studies on China’s terrestrial ecosystem carbon dynamics are still insuff...
Pathology has always been a spatial science: for more than 150 years, diagnosis has rested on reading the architecture of cells and tissues. Three technological streams are now converging on this founding principle. Spatially resolved omics can measu...
The 2024 World Heritage inscription of the Beijing Central Axis shifts the focus of historic district governance to quality-oriented urban regeneration. However, evaluating the precise alignment between infrastructural topology and cultural meaning r...
Rapid urban development has intensified conflicts between land development and ecological conservation, making spatially explicit land-use planning increasingly important for resource-depleted cities. This study develops a geoinformation-based decisi...
This study proposes a four-dimensional Historical Building Defect Information Modeling (HBDIM) framework designed to support the documentation, diagnosis, and conservation of deteriorated historic stucco elements. The framework integrates multi-sourc...
Steel-cord conveyor belts are usually assessed using average damage indicators calculated for entire belt sections. Although such indicators are useful for general condition assessment, they do not adequately represent spatially non-uniform degradati...
Under the background of urban stock renewal, the quality improvement of public spaces in aged residential areas is confronted with challenges such as inefficient data collection, disconnection between subjective and objective evaluations, and insuffi...
Sustainable urban water governance in rapidly transforming cities requires integrative decision-making frameworks capable of balancing social equity, economic efficiency, and environmental resilience. This study develops an Integrative Decision-Makin...
Manual tissue documentation is a critical step in the field of pathology that sets the stage for microscopic analysis and significantly influences diagnostic outcomes. In routine practice, technicians verbally dictate descriptions of specimens during...
Integrating adaptive cycle theory with the Pressure–State–Response (PSR) framework, this study proposes a Risk–Connectivity–Potential (RCP) model to assess ecological spatial resilience in Shenzhen from 2000 to 2025—an a...
Sustainable governance of archaeological heritage requires conservation, public interpretation, and locally retained benefits to be considered together. This study develops a theory-informed diagnostic framework for villages surrounding large archaeo...
Knee Osteoarthritis (KOA) is a leading contributor to global physical disability, where delayed diagnosis often results in irreversible joint damage and socio-economic cost. Early diagnosis remains challenging due to subtle radiographic biomarkers an...
The early and accurate identification of breast cancer is a significant healthcare issue, largely because the traditional machine learning approaches rely on handcrafted features that are unable to fully capture the spatial and textural complexity fo...
Campus buildings often present hidden safety risks such as falls and wheelchair instabilities, which are closely related to architectural layout, material selection, and accessibility design. This study develops YOLOv11-Safe, an attention-enhanced an...
Rural territories characterised by dispersed settlement systems face mounting challenges related to demographic decline, economic fragility, ecological degradation, and the erosion of local knowledge systems. In this context, rural self-sufficiency h...
Fault diagnosis is critical for ensuring the reliability of reciprocating pumps in industrial settings. However, challenges such as strong noise interference and unbalanced conditions of existing methods persist. To address these issues, this paper p...
The growing demand for accurate and efficient Chest X-Ray (CXR) interpretation has prompted the development of AI-driven systems to alleviate radiologist workload and reduce diagnostic variability. This paper introduces the Intelligent Humanized Radi...
To address the limitations of low detection efficiency and poor spatial resolution of traditional cable insulation diagnosis methods, a novel cable insulation diagnosis method based on impedance spectroscopy has been proposed. An impedance spectrosco...
Urban sustainability governance has long been dominated by growth-oriented metrics that measure aggregate improvement without establishing whether neighborhoods provide enough for all residents without continuous territorial expansion or resource-int...
The expansion of artificial nighttime lighting has increased the risk of urban dark sky environmental degradation. Identifying long-term evolution patterns and their associated socioeconomic and environmental factors is essential for conserving dark...
Background: Radiofrequency ablation of liver tumors relies on tightly coupled electromagnetic–thermal dynamics. However, conventional computational models oversimplify tissue heterogeneity and the dynamic evolution of biophysical properties, li...
The northern agro-pastoral ecotone of China faces persistent trade-offs among cultivated land (CL) protection, energy development, water constraints, and ecological restoration, posing challenges for sustainable human–land interactions. Focusin...
Traditional village built heritage conservation requires attention to both the preservation of heritage cores and their relationships with peripheral environments. Existing research has extensively examined heritage preservation, spatial change, and...
Ultrafast laser systems, implemented at the ELI-NP, require exceptional beam quality and spatial stability due to their femtosecond pulse durations and extremely high peak powers. This work presents a diagnostic and computational framework for analyz...
Rapid urbanization and the aging of large-scale building stocks have created a critical disconnection between strategic urban planning and physical structural realities. This study introduces a multi-dimensional resilience framework to evaluate the s...
Historic waterfront streets are not only an important component of urban public spaces but also highlight the distinctive features and historical contexts of the city. High-quality streetscape visual perception plays a crucial role in advancing the c...
The estimation of leakage faults in evaporation tubes of supercharged boilers is crucial for ensuring the safe and stable operation of the central steam system. However, leakage faults of evaporation tubes feature high time dependency, strong couplin...
Urban ground collapse (UGC) threatens dense coastal cities because failures can occur abruptly beneath roads and buried lifelines. We developed a dynamic and interpretable machine-learning framework for UGC susceptibility assessment in Shenzhen, Chin...
Traditional evaluation of Networks-on-Chip is based on aggregate metrics. Most of these metrics (latency, throughput, hop count, packet loss, energy consumption, buffer occupancy, thermal or reliability summaries) compress detailed execution traces i...
Population ageing challenges the social sustainability of high-density cities, where equitable eldercare access underpins SDG 3, SDG 10 and SDG 11. In China, rapid expansion of community-based eldercare facilities (CEFs) under the “90-7-3&rdquo...
The Chengdu–Chongqing Economic Mega Region (CCEMR), as a strategic economic hub in Western China, is increasingly facing challenges in balancing urban growth, agricultural stability, and ecological conservation within its territorial spatial pl...
Salinity stress remains a major bottleneck for agriculture in arid regions. While Opuntia ficus-indica is known for its resilience, its young cladodes maintain a misleadingly healthy visual appearance and stable biomass even under heavy saline pressu...
First/last-mile accessibility around metro stations in hot–arid cities depends not only on proximity and network connectivity but also on climatic exposure, physical movement friction, visual legibility, and route continuity. This study develop...
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