Results 71 to 80 of about 50,546 (263)

Adaptive Cruise Control Utilizing Noisy Multi-Leader Measurements: A Learning-Based Approach

IEEE Open Journal of Intelligent Transportation Systems
A substantial number of vehicles nowadays are equipped with adaptive cruise control (ACC), which adjusts the vehicle speed automatically. However, experiments have found that commercial ACC systems which only detect the direct leader amplify the ...
Ying-Chuan Ni, Victor L. Knoop, Julian F. P. Kooij, Bart van Arem   +3 more
doaj   +1 more source

Stability analysis of classical string solutions and the dressing method

Journal of High Energy Physics, 2019
The dressing method is a technique to construct new solutions in non-linear sigma models under the provision of a seed solution. This is analogous to the use of autoBäcklund transformations for systems of the sine-Gordon type.
Dimitrios Katsinis, Ioannis Mitsoulas, Georgios Pastras   +2 more
doaj   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

Advanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee, Byung Ik Park, Gihyeon Yim, Hyunjae Yoo, Sangjun Ma, Jundong Park, Jeong‐Yun Sun   +6 more
wiley   +1 more source

Stability of the nonperturbative bosonic string vacuum

Physics Letters B, 2017
Quantization of the bosonic string around the classical, perturbative vacuum is not consistent for spacetime dimensions ...
J. Ambjørn, Y. Makeenko
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Distributed Cooperative Synchronization and Tracking for Heterogeneous Platoons With Mixed-Order Nonlinear Vehicle Dynamics

IEEE Access
This paper studies the synchronization and tracking issue for the connected and automated vehicle (CAV) platoon with mixed-order nonlinear vehicle dynamics.
Hui Dong, Yiguang Wang, Xiaojie Li
doaj   +1 more source

Stimuli‐Responsive Hierarchical Structuring Controls Survival and Programs Hydrogelation of Supramolecular Metallofibers

Advanced Materials, EarlyView.
Aqueous Zn(II) Salphen metallofibers decorated with PNIPAM undergo reversible, multi‐stimuli‐responsive hierarchical bundling. This higher‐order structuring kinetically stabilizes the otherwise fragile assemblies against dilution, acidic hydrolysis, and transmetallation, enables selective sorting of responsive fibers, and programs hydrogelation at ...
Merlin R. Stühler, László Mérai, Kai Ludwig, Rainer Haag, Quinn A. Besford, Alex J. Plajer   +5 more
wiley   +1 more source

Stability Analysis of a Predecessor-Following Platoon of Vehicles With Two Time Delays

Promet (Zagreb), 2015
The problem of controlling a platoon of vehicles moving in one dimension is considered so that they all follow a lead vehicle with constant spacing between successive vehicles.
Ali Ghasemi, Saeed Rouhi
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source