Results 81 to 90 of about 15,047 (284)

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

Semantic Segmentation of Solar Radio Spikes at Low Frequencies

The Open Journal of Astrophysics
Solar radio spikes are short lived, narrow bandwidth features in low frequency solar radio observations. The timing of their occurrence and the number of spikes in a given observation is often unpredictable.
Pearse C Murphy, Stéphane Aicardi, Baptiste Cecconi, Carine Briand, Thibault Peccoux   +4 more
doaj   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Time- and frequency-domain dynamic spectrum access: learning cyclic medium access patterns in partially observable environments

, 2021
Upcoming communication systems increasingly often tackle the spectrum scarcity problem through the coexistence with legacy systems in the same frequency band.
Timm-Giel, Andreas, Lindner, Sebastian, Stolpmann, Daniel   +2 more
core   +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

Machine Learning Based Design of Ku Band Ridge Gap Waveguide Slot Antenna Loaded with FSS for Satellite Internet Applications

, 2021
IEEE Antennas and Propagation Society (AP-S);US National Committee (USNC) of the International Union of Radio Science (URSI)2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 -- 4 ...
Ghyslain Gagnon, Derbal M.C., Mahmoud Elsaadany, Shoukry I. Shams, Mourad Nedil, Mohammed Cherif Derbal, Nakmouche M.F., Allam A.M.M.A., Mohammed Farouk Nakmouche, Shams S.I., Diaa E. Fawzy, Elsaadany M., A.M.M.A. Allam, Fawzy D.E., Nedil M.   +14 more
core   +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

Unearthing Fast Radio Bursts using Machine Learning

The thesis enhanced our understanding of Fast Radio Bursts (FRBs) by optimizing the detection efficiency of multi-beam radio interferometers. FRBs are impulsive radio signals visible to cosmological distances.
Ayushi Mandlik (19130719)
core   +1 more source

Blood Biomarkers and Surface‐Enhanced Raman Spectroscopy for Gout: A Comprehensive Review

Advanced Functional Materials, EarlyView.
Schematic illustrating gout disease progression from asymptomatic hyperuricemia to chronic tophaceous disease, highlighting the limitations of conventional imaging and biochemical diagnostics and the potential of engineered SERS platforms for ultrasensitive blood‐based detection of urate‐related biomarkers across disease stages, with the color gradient
Isuri Perera, Chiranjeevi Kanike, Appurva Tiwari, Hongyan Wu, Larry D. Unsworth, Ben Bin Xu, Xuehua Zhang   +6 more
wiley   +1 more source

A chip-based radio frequency sensor for soil moisture measurements: A machine learning and deep learning calibration approach

Journal of Agriculture and Food Research
Accurate soil moisture monitoring is important for precision agriculture, irrigation scheduling, and sustainable water resource management. To address the limitations of high cost and the complex, specific calibration processes inherent in soil moisture ...
Jannatul Ferdaous Progga, Xiaomo Zhang, Srabana Maiti, Xin Sun, Shuvashis Dey, Sulaymon Eshkabilov, Xiaoyu Feng   +6 more
doaj   +1 more source