Results 51 to 60 of about 2,052 (264)

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

Pholidota‐Inspired Electronic Skin Possessing Terahertz‐Wave Reflection–Absorption–Transmission Switchability

Advanced Science, EarlyView.
The pholidota‐inspired electronic skin is successfully constructed, originally realized four‐state reversible switching of terahertz‐wave reflection, absorption, transmission, and secondary reflection. In response to external demands, it issues deformation instructions, verifies the deformation state after the equipment executes the action, and thus ...
Shangjing Li, Jiangsong Hou, Yifeng Ruan, Jiang Du, Jun Qiu   +4 more
wiley   +1 more source

Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)

Advanced Science, EarlyView.
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang, Jiahao Ding, Si Chen, Lijie Yan, Shichao Ding, Lavonda Li, Junyi Sun, Haodong Liu, Tongge Li, Ning Liu, Mingji Wei, Xiaoyong Zhu, Xiaobo Zou, Shouqi Yuan, Xingcai Zhang   +14 more
wiley   +1 more source

Synthetic Bistatic ISAR Imaging for Moving Targets With Prescribed Trajectories and Scattering Regimes: Validation With Passive Radar Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The design of a bistatic inverse synthetic aperture radar (ISAR) images simulator is described, as a response to the need of databases with classification purposes in bistatic radar scenarios characterized by numerous degrees of freedom.
Sandra Gutierrez-Serrano, Javier Rosado-Sanz, Maria Pilar Jarabo-Amores, David Mata-Moya, Nerea Del-Rey-Maestre   +4 more
doaj   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Dynamic simulation metamodeling using MARS: A case of radar simulation

Mathematics and Computers in Simulation, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bozagac, Doruk, Batmaz, Inci, Oguztuzun, Halit   +2 more
openaire   +3 more sources

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Highly Biomimetic Ectodermal Epithelial Organoids for Epithelial Barrier Stimulation Assays

Advanced Science, EarlyView.
ABSTRACT Evaluating the potential toxicity of pharmaceuticals and biomaterials to ectodermal epithelia, such as the oral mucosa and skin, is indispensable in pre‐clinical assessments. However, this remains a challenge primarily owing to the lack of physiologically relevant and accurate screening models.
Yiming Chen, Yuman Li, Chenyu Deng, Leran Li, Zhewen Hu, Boon Chin Heng, Yuting Niu, Shiyu Sun, Min Gao, Xiaopei Chi, Ying He, Mingming Xu, Ying Huang, Xuliang Deng   +13 more
wiley   +1 more source

Bistatic Landmine and IED Detection Combining Vehicle and Drone Mounted GPR Sensors

Remote Sensing, 2019
This work proposes a novel Ground Penetrating Radar (GPR) system to detect landmines and Improvised Explosive Devices (IEDs). The system, which was numerically evaluated, is composed of a transmitter placed on a vehicle and looking forward and a receiver
Maria Garcia-Fernandez, Ann Morgenthaler, Yuri Alvarez-Lopez, Fernando Las Heras, Carey Rappaport   +4 more
doaj   +1 more source