Results 101 to 110 of about 324,009 (309)

Seesaw-Net: Convolution Neural Network With Uneven Group Convolution

, 2019
In this paper, we are interested in boosting the representation capability of convolution neural networks which utilizing the inverted residual structure. Based on the success of Inverted Residual structure[Sandler et al. 2018] and Interleaved Low-Rank Group Convolutions[Sun et al.
openaire   +2 more sources

Electrospinning and Nanofiber Technology: Fundamentals, Innovations, and Applications

Advanced Materials, EarlyView.
This review explores electrospinning fundamentals, methods for synthesizing polymer, metal oxide, carbon, and composite nanofibers, and advancements in fiber architectures like porous, core–shell, and aligned structures. It highlights applications in functional membranes, sensors, energy systems, and catalyst design while addressing future ...
Yujang Cho, Jong Won Beak, Mingyu Sagong, Seongcheol Ahn, Jong Seok Nam, Il‐Doo Kim   +5 more
wiley   +1 more source

Lite‐weight semantic segmentation with AG self‐attention

IET Computer Vision
Due to the large computational and GPUs memory cost of semantic segmentation, some works focus on designing a lite weight model to achieve a good trade‐off between computational cost and accuracy. A common method is to combined CNN and vision transformer.
Bing Liu, Yansheng Gao, Hai Li, Zhaohao Zhong, Hongwei Zhao   +4 more
doaj   +1 more source

Uni‐Axial Densification of Slurry‐Casted Li₆PS₅Cl Tapes: The Role of Particle Size Distribution and Densification Pressure

Advanced Materials, EarlyView.
Solid‐state batteries promise high energy density and safety for electric vehicles. This study examines the densification of slurry‐casted Li₆PS₅Cl separator tapes, highlighting the role of particle size distribution and uni‐axial pressure. Wet milling refines particles while preserving conductivity, and a critical compaction threshold leads to ...
Quoc‐Anh Tran, Meenal Agrawal, Michael Häusler, Johannes Hörmann, Mohsen Sadeqi Moqadam, Günther J. Redhammer, Ingeborg Sellæg Ellingsen, Mir Mehraj Ud Din, Per Erik Vullum, Roman Zettl, Timo Danner, Arnulf Latz, Volker Hennige, Roland Brunner, Daniel Rettenwander   +14 more
wiley   +1 more source

Data‐driven target localization using adaptive radar processing and convolutional neural networks

IET Radar, Sonar & Navigation
Leveraging the advanced functionalities of modern radio frequency (RF) modeling and simulation tools, specifically designed for adaptive radar processing applications, this paper presents a data‐driven approach to improve accuracy in radar target ...
Shyam Venkatasubramanian, Sandeep Gogineni, Bosung Kang, Ali Pezeshki, Muralidhar Rangaswamy, Vahid Tarokh   +5 more
doaj   +1 more source

Facial Emotions Recognition using Convolutional Neural Net

, 2020
Facial expressions vary from person to person, and the brightness, contrast, and resolution of every random image are different. This is why recognizing facial expressions is very difficult. This article proposes an efficient system for facial emotion recognition for the seven basic human emotions (angry, disgust, fear, happy, sad, surprise, and ...
openaire   +2 more sources

Designing the Next Generation of Biomaterials through Nanoengineering

Advanced Materials, EarlyView.
Nanoengineering enables precise control over biomaterial interactions with living systems by tuning surface energy, defects, porosity, and crystallinity. This review highlights how these nanoscale design parameters drive advances in regenerative medicine, drug delivery, bioprinting, biosensing, and bioimaging, while outlining key translational ...
Ryan Davis Jr., Ishaan Duggal, Nicholas A. Peppas, Akhilesh K. Gaharwar   +3 more
wiley   +1 more source

Real‐time semantic segmentation network for crops and weeds based on multi‐branch structure

IET Computer Vision
Weed recognition is an inevitable problem in smart agriculture, and to realise efficient weed recognition, complex background, insufficient feature information, varying target sizes and overlapping crops and weeds are the main problems to be solved.
Yufan Liu, Muhua Liu, Xuhui Zhao, Junlong Zhu, Lin Wang, Hao Ma, Mingchuan Zhang   +6 more
doaj   +1 more source

Carbon Fiber Oxidation in 4D

Advanced Materials, EarlyView.
The oxidation of porous carbon fiber heat shield material at high temperatures is imaged using time‐resolved synchrotron X‐ray microtomography. Resolving the interplay between species diffusion and carbon‐oxygen reaction rate reveals spatially and temporally varying degradation across oxidation regimes, with profound implications for in‐depth material ...
Benjamin M. Ringel, Federico Semeraro, Joseph C. Ferguson, Harold S. Barnard, Bruno Dias, Christian M. Schlepütz, Edward S. Barnard, Sam Schickler, Kara Levy, Shawn Shacterman, Talia Benioff‐White, Julian Davis, Alastair A. MacDowell, Dilworth Y. Parkinson, Francesco Panerai   +14 more
wiley   +1 more source

Stretchable, Multiplexed, and Bimodal Sensing Electronic Armor for Colonoscopic Continuum Robot Enhanced by Triboelectric Artificial Synapse

Advanced Materials, EarlyView.
Colonoscopic continuum robots lack sensing, endangering intestinal tissue. An ideal sensing array is hard to integrate. This work introduces a 3D crosslinked stretchable E‐armor with full‐coverage and multiplexing. It has bimodal sensing, forms a triboelectric synapse, uses CNN‐LSTM, and has a hydrogel and innovative triboelectric materials.
Yuyang Sun, Tao Chen, Dongsheng Li, Hanyang Li, Tianci Ji, Fengxia Wang, Lining Sun, Chengkuo Lee, Huicong Liu   +8 more
wiley   +1 more source