Results 81 to 90 of about 12,132 (264)

High-Resolution Urban Microclimate Reconstruction with Generative Diffusion-Based AI Incorporating Sparse Measurements [PDF]

E3S Web of Conferences
Monitoring urban microclimate is essential for sustainable urban design, pedestrian wind comfort assessment, and district-scale energy resilience.
Xu Youmin, Han Xu, Qin Shaoxiang, Wang Liangzhu Leon   +3 more
doaj   +1 more source

Femtosecond‐Laser Mould Texturing Enables Tunable Biointerfaces in COC Microfluidics

Advanced Materials Interfaces, EarlyView.
Femtosecond‐laser texturing of injection‐mould inserts enables scalable engineering of biointerfaces in cyclic olefin copolymer microfluidics. Replicated micro‐ and nano‐topographies modulate surface roughness and wettability, leading to texture‐dependent protein adsorption and cell adhesion without chemical post‐processing.
Irene Varela‐Leniz, Nora Larreategi, Laura Gemini, Taieb Bakouche, Florent Husson, Leire Gartzia‐Rivero, Eider Bilbao Castellanos, Ane Miren Zaldua, José Luis Vilas‐Vilela, Leire Etxeberria   +9 more
wiley   +1 more source

Hierarchical Stratification for Spatial Sampling and Digital Mapping of Soil Attributes

AgriEngineering
This study assessed whether stratifying agricultural areas into macro- and micro-variability regions allows targeted sampling to better capture soil attribute variability, thus improving digital soil maps compared to regular grid sampling.
Derlei D. Melo, Isabella A. Cunha, Lucas R. Amaral   +2 more
doaj   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Downscaling top-down CO2 emissions and sinks in China empowered by hybrid training

npj Climate and Atmospheric Science
Atmospheric CO2-based top-down approaches enable objective evaluation of climate mitigation efforts but face dual constraints: sparse monitoring limits spatial resolution, while emission heterogeneity hampers downscaling. To enhance downscaling accuracy,
Junting Zhong, Deying Wang, Lifeng Guo, Changhong Miao, Da Zhang, Fei Yu, Weihua Pan, Fugang Li, Bo Peng, Lichun Li, Lei Ren, Lingyun Zhu, Yan Chen, Chongyuan Wu, Jiaying Li, Xiliang Zhang, Xiaoye Zhang   +16 more
doaj   +1 more source

High‐Power Rapid Laser‐Induced Synthesis of Multi‐functional Cobalt Metal‐Organic Framework With an Unprecedented Synthesis Efficiency

Advanced Materials Technologies, EarlyView.
Laser‐assisted synthesis enables rapid (within 1 h) and high‐yield (≥90%) production of Co‐MOFs with mesoporous structures, tunable magnetic and optical properties, and efficient adsorption of N2, CH4, and CO2 for low‐energy gas separation. DFT calculations elucidate the electronic structure and adsorption behavior.
Saliha Mutlu, Bülend Ortaç, Ali Karatutlu, Taylan Gorkan, Engin Durgun, Dilek Soyler, Saniye Soylemez, Jelena Lillepäg, Volkan Filiz, Nergis Arsu, Sevil Savaskan Yilmaz   +10 more
wiley   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

DOA Tracking Combining Compressive Sampling and Kalman Filtering for MIMO Radars Operating in Cluttered Environment

IEEE Access
Taking into account the off-grid effect and clutter, a tailored compressive sampling (CS)-based algorithm is developed to estimate the Direction of Arrival (DOA) in radars that use Multiple-Input Multiple-Output (MIMO) technology and operate at sub ...
Soheil Salari, Francois Chan
doaj   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

SCNet: Subdivision Coding Network for Object Detection Based on 3D Point Cloud

IEEE Access, 2019
High-precision real-time 3D object detection based on the LiDAR point cloud is an important task for autonomous driving. Most existing methods utilize grid-based convolutional networks to handle sparse and cluttered point clouds. However, the performance
Zhiyu Wang, Hao Fu, Li Wang, Liang Xiao, Bin Dai   +4 more
doaj   +1 more source