Results 241 to 250 of about 576,901 (299)

Texoskeletons: Developing the Fundamental Technologies for Creating Intelligent Soft Robotic Clothing With Integrated 1D Sensors and Actuators

Advanced Functional Materials, EarlyView.
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak, Rameesh Bulathsinghala, Jack Varga, Shuxin Meng, Kalana Marasinghe, Imaad Refai, Biyon Fernando, Amitkumar Patel, Chamika M. Halloluwa‐Arachchige, Carlos Oliveira, Arash M. Shahidi, Zahra Rahemtulla, Alexander Turner, Ziyun Ding, Bernard X. W. Liew, Andy Kerr, Ezio Preatoni, Theo Hughes‐Riley, Ishara Dharmasena, Pasindu Lugoda   +19 more
wiley   +1 more source

Orbital Geometry‐Governed Response of Pressure‐Tunable Quantum Defects in hBN

Advanced Functional Materials, EarlyView.
Defects in hBN act as ultrasensitive quantum manometers when the energy of the intradefect optical transitions is modified by lattice compression. The orbital geometry of the electron wave functions governs how electron hopping and Coulomb interactions react uniquely to the reduction of the van der Waals gap and in‐plane compression, leading to robust ...
Magdalena Grzeszczyk, Danis I. Badrtdinov, Kenji Watanabe, Takashi Taniguchi, Cyrus E. Dreyer, Malte Rösner, Maciej Koperski   +6 more
wiley   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Resolving the Cu(bdc) Conundrum: Identifying Non‐Porous Packing of Prototypical Coordination‐Network Thin Films Combining Advanced Diffraction Techniques and Computational Modelling

Advanced Functional Materials, EarlyView.
Solution‐processed Cu(bdc) forms prototypical MOF thin films for which a multitude of not fully satisfactory structural models have been suggested. Combining rotating grazing‐incidence diffraction and X‐ray reflectivity on two complementary samples with density‐functional theory, we first discard the previously suggested models and then identify a non ...
Narges Taghizade, Mario Fratschko, Robbin Steentjes, Mercedes Linares‐Moreau, Paolo Falcaro, Christof Wöll, Roland Resel, Egbert Zojer   +7 more
wiley   +1 more source

Designed Lewis Acid–Base Passivation for High Performance Perovskite Solar Cells

Advanced Functional Materials, EarlyView.
ABSTRACT Silicon's high cost and long energy payback time remain major barriers to the global expansion of solar power. In contrast, metal–halide perovskites offer abundant, solution‐processable absorbers, and have achieved efficiencies of 25%–30%, positioning them as strong competitors to silicon.
Afna Manaf, Hiba Shahulhameed, Bhabani Sankar Swain, Shengzhong (Frank) Liu, Adel Najar   +4 more
wiley   +1 more source

Unlocking Exceptional Strengthening in Aluminum Alloys via Interstitial Cottrell Atmosphere Formation

Advanced Functional Materials, EarlyView.
Cyclic unloading‐aging‐reloading micro‐tensile tests under various aging durations and temperatures, combined with comprehensive microstructural characterization reveal that the yield point phenomenon in Aluminum‐Carbon (Al‐C) thin films originates from Cottrell atmosphere formation.
Zion Lee, Hojang Kim, Yixuan Hu, Injong Oh, Tae‐Hyeok Kang, Hyeonbeen Noh, Yuhyun Park, Sunkun Choi, Pyuck‐Pa Choi, Kolan Madhav Reddy, Gi‐Dong Sim   +10 more
wiley   +1 more source

Classification trees for time series

Pattern Recognition, 2012
This paper proposes an extension of classification trees to time series input variables. A new split criterion based on time series proximities is introduced. First, the criterion relies on an adaptive (i.e., parameterized) time series metric to cover both behaviors and values proximities.
Douzal-Chouakria, Ahlame, Amblard, Cécile   +1 more
exaly   +5 more sources

Scalable time series classification

Data Mining and Knowledge Discovery, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Schäfer, Patrick
openaire   +2 more sources

Time Series Classification

Journal of Statistics Applications & Probability, 2013
Time series is an important class of temporal data objects and it can be easily obtained from scientific and financial applications. The nature time series data includes: large in data size, high dimensionality and necessary to update continuously. The increasing use of time series data has initiated a great deal of research and developing attempts in ...
M. M. Gabr, L. M. Fatehy
openaire   +3 more sources