Uncover the latest and most impactful research in Model Building and Simulation. Explore pioneering discoveries, insightful ideas and new methods from leading researchers in the field.
Data-intensive collider experiments increasingly require models that transfer across high-dimensional, partially observed measurements, yet most analyses still optimize separate models for each task. Here, to address this bottleneck, we introduce...
This study proposes a real-time OD demand calibration framework that integrates data-driven origin–destination (OD) demand calibration with black-box microscopic stochastic traffic simulators. To enable bi-directional information exchange between...
Over three decades, the Agricultural Production Systems sIMulator (APSIM) has evolved from a cropping systems modelling framework into a widely used platform for analyzing agricultural systems. This evolution has been underpinned by collaboration...
Purpose Operating room (OR) emergencies create abrupt tonal shifts, transforming the environment from learner-centered to patient-centered. Many students first encounter these dynamics during the surgical and obstetrics and gynecology clerkships,...
Model-based predictive control provides an effective approach for improving building energy efficiency by optimizing heating, ventilation, and air-conditioning operation while maintaining indoor thermal conditions. However, its performance strongly...
It is absolutely essential to support the rapidly growing need for Electric Vehicles (EVs) through electronic and energy systems with high efficiency, reliability and performance as a major solution for sustainable transportation. The computational...
The hybrid humidity generation model is a fundamental framework from which other models can be derived, such as the two-pressure, two-temperature, and two-flow humidity generator. With this type of generator, it is possible to generate airstreams of...
Background Effective infectious disease response requires region-specific guidance, because the contact structures that drive local transmission and shape intervention effects vary from community to community. Agent-based models (ABMs) represent...
Abstract Accurate prediction of thermal evolution during Wire Arc Additive Manufacturing (WAAM) is essential for process control and defect reduction. High-fidelity simulations provide detailed temperature fields but are computationally expensive,...
Heating, ventilation, and air-conditioning (HVAC) systems account for a large share of building energy use, but advanced controllers need predictive models that are costly to develop for each building. We investigate whether IBM’s TinyTimeMixer...
Traditional macroeconomic models often abstract from the temporal structure of production, treating the transformation of inputs into outputs as instantaneous, and largely overlooking micro-level production frictions. We develop an agent-based model...
The increasing demand for large annotated datasets in computer vision underscores the need for scalable synthetic data generation methods, as traditional approaches often lack adaptability or offer limited annotations. To address these challenges,...
Traditional building performance simulation (BPS) commonly relies on static occupancy profiles, which oversimplify occupant behavior and lead to persistent prediction gaps under diverse South Asian climates. This study addresses the need for...
The training and evaluation of autonomous-driving perception systems rely on multimodal scene data. However, limited real-world long-tail scenarios have made generative world models an important complementary data source. Existing methods mainly...
The growing prominence of data-driven artificial intelligence (AI) in healthcare has introduced significant challenges, including limited availability of high-quality training data, strict privacy regulations, and the complex nature of clinical...
Medical world models simulate how a patient’s imaged state evolves over time and, in some systems, under clinical interventions. Their value comes from multi-step, action-conditioned roll-outs, yet evaluation is still dominated by perceptual or...
Customized insoles are personalized assistive products designed to improve the foot–shoe interface by reflecting individual plantar geometry and contact characteristics. However, existing manual and computer-aided design and manufacturing processes...
Background Functional electrical stimulation (FES) cycling stimulation strategies are often derived from heuristics, or able-bodied kinematics and electromyography, which may be unsafe and non-representative for people with complete spinal cord...
State space models (SSMs), designed for long-range modeling, offer linear computational complexity and strong capabilities in capturing long-range dependencies. In the field of remote sensing, SSMs have gained popularity due to their effectiveness...
Rainfall patterns resulting from climate change and the increasing frequency of extreme values necessitate the development of models capable of accurately capturing the full range of climatic variability. This study introduces a novel, comprehensive...
Journal
Software and Systems Modeling (SoSyM) is a bi-monthly international journal (published in English) that focuses on theoretical and practical issues...
The International Journal on Software Tools for Technology Transfer(STTT) has provided since 1997 a forum for research and experience papers on...
Journal
Advances in Simulation provides a forum to share scholarly practice to advance the use of simulation in the context of health and social care. Advances...
