Results 241 to 250 of about 97,141 (337)

Towards a digital twin for smart resilient cities: real-time fire and smoke tracking and prediction platform for community awareness (FireCom). [PDF]

Comput Urban Sci
Seong K, Jiao J, Lewis RH, Farahi A, Navrátil P, Casebeer N, Davis B, Jones J, Niyogi D.   +8 more
europepmc   +1 more source

A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks

Advanced Intelligent Systems, EarlyView.
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan, Oliver Artner, Paul‐Philipp Manea, Sebastian Siegel, Susanne Hoffmann‐Eifert, Regina Dittmann, John Paul Strachan   +6 more
wiley   +1 more source

Data-driven vehicle stability control via co-simulation of digital twin and constrained MPC. [PDF]

Sci Rep
Lin M, Zhang Z, Huang M, Ding Y.
europepmc   +1 more source

Semi‐autonomous Navigation of Magnetic Microcarriers for Knee Cartilage Regeneration

Advanced Intelligent Systems, EarlyView.
Autonomous navigation of magnetic microcarriers in complex 3D environments is investigated through a semi‐autonomous strategy integrating magnetic actuation with monocular visual feedback. Real‐time global tracking is achieved via radio‐frequency‐based localization and depth estimation, while model‐based computation determines optimal steering forces ...
Kim Tien Nguyen, Cuong Manh Hoang, Jong‐Oh Park, Jayoung Kim   +3 more
wiley   +1 more source

Digital twins in healthcare: a comprehensive review and future directions. [PDF]

Front Digit Health
Khoshfekr Rudsari H, Tseng B, Zhu H, Song L, Gu C, Roy A, Irajizad E, Butner J, Long J, Do KA.   +9 more
europepmc   +1 more source

Controlling Dynamical Systems Into Unseen Target States Using Machine Learning

Advanced Intelligent Systems, EarlyView.
Parameter‐aware next‐generation reservoir computing enables efficient, data‐driven control of dynamical systems across unseen target states and nonstationary transitions. The approach suppresses transient behavior while navigating system collapse scenarios with minimal training data—over an order of magnitude less than traditional methods.
Daniel Köglmayr, Alexander Haluszczynski, Christoph Räth   +2 more
wiley   +1 more source

The Role of Chemistry Across Disciplines From Humanities to Life Sciences in Understanding Complexity and Emergence

Angewandte Chemie, EarlyView.
This study explores the origins of life by linking prebiotic chemistry, the emergence of information‐carrying molecules such as RNA and proteins, and philosophical questions about consciousness. The study emphasizes the role of molecular evolution in the Central Dogma and provides insights into the chemical origins of biology and the basis of life's ...
Harald Schwalbe, Josef Wachtveitl, Alexander Heckel, Florian Buhr, Sabrina Toews, Thomas M. Schimmer   +5 more
wiley   +2 more sources

Mechanism-Aware Digital Twin for High-Temperature Creep Prediction in Mo-Re Alloys. [PDF]

Adv Sci (Weinh)
Xu J, Chen X, Bai X, Ding C, Liu G, Sun Y, Zong H, Ding X.   +7 more
europepmc   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source