Results 121 to 130 of about 11,206 (199)

Scalable Platform Enabling Reservoir Computing With Nanoporous Oxide Memristors for Image Recognition and Time Series Prediction

Advanced Intelligent Systems, EarlyView.
The approach of physical in materia computing incorporates parallel computing within the medium itself. A scalable and energy‐efficient, oxide‐based computational platform is realized in form of a nanoporous network of volatile niobium oxide memristors sandwiched between top and bottom metallic electrodes, and then tested for prediction and ...
Joshua Donald, Ben A. Johnson, Amir Mehrnejat, Alex Gabbitas, Arthur G. T. Coveney, Alexander G. Balanov, Sergey Savel’ev, Pavel Borisov   +7 more
wiley   +1 more source

A hierarchical deep learning framework with doubly regularized loss for robust malware detection and family categorization. [PDF]

Sci Rep
Abed Alsaedi S, Alwateer M, Helal Alharbi N, Magdy Balaha H, M Aboelnaga M, Badawy M, A Elhosseini M.   +6 more
europepmc   +1 more source

Routing Optimization of Cable‐Driven Octopus‐Inspired Manipulators With Minimal Actuation via Genetic Algorithm and Finite Element Method

Advanced Intelligent Systems, EarlyView.
Soft robotic arms are promising for gentle grasping but often rely on bulky actuation systems. This work presents a computational design framework that optimizes tendon number and routing to achieve target grasps with fewer actuators. Validated on an octopus‐inspired underwater arm, the approach enables efficient, underactuated soft manipulators for ...
Michele Martini, Emanuele Solfiti, Alessio Mondini, Emanuela Del Dottore, Alberto Parmiggiani, Edoardo Sinibaldi, Barbara Mazzolai   +6 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

Computational strategies in tumor phylogenetics: evaluating multimodal integration and methodological trade-offs across study designs. [PDF]

Bioinform Adv
Jiang C, Wang Z, Wang R, Liang S, Tao S.
europepmc   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Hierarchical bayesian fusion of inspection and monitoring data for probabilistic bridge deterioration assessment. [PDF]

Sci Rep
Wang B, Chen K, Wang B.
europepmc   +1 more source

Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles

Advanced Intelligent Systems, EarlyView.
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin, Qian Li, Zhiwei Li, Xukai Zhai, Jinhui Gao   +4 more
wiley   +1 more source

Current transformer (CT) saturation classification using empirical mode decomposition (EMD) and relevance vector machine (RVM). [PDF]

Sci Rep
Chothani N, Vyas P, Sonawane C, Chan CK.
europepmc   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source