Results 141 to 150 of about 115,779 (267)

Bio‐Inspired Object Retrieval via Proximity‐Guided Adaptive Thigmotactic Exploration and Neuromorphic Recognition

Advanced Robotics Research, EarlyView.
Sparse active‐infrared proximity sensing is coupled to an adaptive thigmotactic controller for camera‐inaccessible object retrieval. After grasping, receptor‐informed encoding transforms force, temperature, and wrist force–torque signals into spike trains for spiking neural network recognition.
Fengyi Wang, Nitish Thakor, Gordon Cheng
wiley   +1 more source

Coal Air-Dry Basis Sulfur Content Detection Model Based on Hippopotamus Optimization Algorithm and Two Hidden Layer Extreme Learning Machine. [PDF]

ACS Omega
Liu D, Tian J, Zhu Z, Huang J, Xiao D.
europepmc   +1 more source

Advanced Flexible Robotic Systems for the Early Diagnosis and Treatment of Cancer and Cardiovascular Diseases

Advanced Robotics Research, EarlyView.
Flexible surgical robots are advancing minimally invasive interventions for cardiovascular diseases and cancer by enabling precise navigation through complex, submillimeter anatomical pathways. This review highlights recent innovations in actuation, bio‐integrated sensing, AI‐assisted control, and friction‐reduction technologies, discusses current ...
Hermione Truong, Chi Cong Nguyen, Hannah Thuy Truong, Kefan Zhu, Adrienne Ji, James Davies, Emanuele Nicotra, Bibhu Sharma, Jingjing Wan, Patrick Pruscino, Shing Wai Wong, Hoang‐Phuong Phan, Phuoc Thien Phan, Nigel H. Lovell, Thanh Nho Do   +14 more
wiley   +1 more source

A potential hidden layer of meteorites below the ice surface of Antarctica. [PDF]

Nat Commun, 2016
Evatt GW, Coughlan MJ, Joy KH, Smedley AR, Connolly PJ, Abrahams ID.   +5 more
europepmc   +1 more source

UC Food Waste: A Multimodal Robotic Perception Dataset for Robust Contaminant Detection in Complex Biowaste Scenes

Advanced Robotics Research, EarlyView.
A balanced multimodal food‐waste dataset and a novel Split Spatial‐Spectral Attention fusion framework are presented for robotic contaminant detection. Separate processing of RGB, thermal, and multispectral inputs preserves subtle material signatures before feature integration, reducing modality interference and improving classification and ...
Matthew Vestal, James Ireland, David Hinwood, Xing Wang, Min Wang, Damith Herath   +5 more
wiley   +1 more source

A Pentaradial and Bilateral Combined Photoreception System in the Sea Cucumber is Mediated by a Blue Light‐Sensitive R‐Opsin

Advanced Science, EarlyView.
The sea cucumber Holothuria leucospilota detects blue and adjacent wavelengths of light via an r‐opsin with a maximum absorption at 459 nm. In the oral tentacles, papillae, and tube feet, distinct light‐sensing structures with specialized morphologies are formed, constituting a unique pentaradial and bilateral combined photoreception system.
Jiasheng Huang, Chunhua Ren, Zhou Qin, Yimeng Cui, Bingbing Zhang, Peng Luo, Xuan Wang, Yaoqi Xie, Xin Zhang, Aifen Yan, Yang Zhang, Dingding Fan, Yang Liu, Wenjie Pan, Xiao Jiang, Lihong Yuan, Haipeng Qin, David M. Irwin, Chaoqun Hu, Yang Liu, Ting Chen   +20 more
wiley   +1 more source

Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences

Advanced Science, EarlyView.
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu, Pan Zhang, Shangqian Wu, Hao Sun, Minwei Li, Sophia Tsoka, Zizhang Sheng, Lei Deng   +7 more
wiley   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

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