Results 81 to 90 of about 28,119 (261)

Minimizing Hexapod Robot Foot Deviations Using Multilayer Perceptron

International Journal of Advanced Robotic Systems, 2015
Rough-terrain traversability is one of the most valuable characteristics of walking robots. Even despite their slower speeds and more complex control algorithms, walking robots have far wider usability than wheeled or tracked robots.
Vytautas Valaitis, Tomas Luneckas, Mindaugas Luneckas, Dainius Udris   +3 more
doaj   +1 more source

scTIDE: Deciphering Critical Transitions Through Cell‐Perturbed Manifold Graphs and Optimal Transport Conditional Flow Matching

Advanced Science, EarlyView.
scTIDE identifies single‐cell tipping points by combining manifold‐based graph representations with optimal‐transport conditional flow matching, which preserves intrinsic topology and models distributional dynamics. It supports critical‐transition detection at individual‐cell resolution, prediction of unseen cells, and dimensionality reduction and ...
Jiayuan Zhong, Bowen Niu, Yongbo Yu, Shiyang Nie, Xuerong Gu, Pei Chen, Rui Liu   +6 more
wiley   +1 more source

Pattern‐Aware Intelligence Enables Nondestructive, Rapid Quantification of High‐Aspect‐Ratio Silicon Etching

Advanced Science, EarlyView.
Pattern‐dependent etching is converted into a physical prior for intelligent reconstruction of high‐aspect‐ratio silicon structures. Combining YOLO‐Pose feature extraction with a topography network, the framework retrieves depth, sidewall angle, and scallop texture from minimal destructive observations, enabling accurate cross‐scale metrology and near ...
Shuyan He, Lang Chen, Bo Wen, Yufeng Jin, Wei Wang   +4 more
wiley   +1 more source

Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials

Advanced Science, EarlyView.
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang, Mengyu Li, Xiaohang Xie, Ao Chen, Thomas G. Bifano, Xin Zhang   +5 more
wiley   +1 more source

Data Mining for Healthcare Data: A Comparison of Neural Networks Algorithms

Cogito Smart Journal, 2017
Classification has been considered as an important tool utilized for the extraction of useful information from healthcare dataset. It may be applied for recognition of disease over symptoms. This paper aims to compare and evaluate different approaches of
Debby E. Sondakh
doaj  

Explainable churn prediction in telecom with tabular ML five model benchmark and SHAP analysis

Discover Artificial Intelligence
Telecom operators need churn models that are both accurate and explainable for operational decision making. We study the Kaggle Telco Customer Churn dataset with a class ratio of approximately two point seven seven to one in favor of non churn.
Ismoth Zerine, Md Mainul Islam, Mohammad Aman Ullah Khan, Md Аsikur Rаhmаn Chy, Abu Saleh Muhammad Saimon, Mia Md. Tofayel Gonee Manik, Chala Wata   +6 more
doaj   +1 more source

Identification of Blueberry Beverage Using Vis/NIR Spectroscopy

MATEC Web of Conferences, 2017
Four kinds of blueberry beverage from different varieties, a total of 140 samples were acquired and analyzed by applying of spectrum technology. Using Savitzky-Golay spectral smoothing and multiplicative scatter correction (MSC) on the sample data ...
Li Dongze, Wu Guifang, Ma Hai, Liu Zhao, Liu Guiquan, Hou Junhua   +5 more
doaj   +1 more source

EndoTac: An Endoscopic Camera‐Based Tactile Sensor with High Sensitivity for Minimally Invasive Surgery

Advanced Science, EarlyView.
EndoTac presents a trocar‐compatible endoscopic vision‐based tactile sensor that uses a convex mirror to enlarge side‐facing tactile coverage during minimally invasive vessel palpation. Distorted tactile images are unwarped and processed by a learning model to estimate vascular deformation, enabling sensitive, spatially distributed tactile perception ...
Yupeng Wang, Nicolas Raison, Xuyang Zhang, Aijia Yang, Lukas Lindenroth, Shan Luo   +5 more
wiley   +1 more source

Hybrid multilayer perceptron models optimized by evolutionary algorithms for urban air quality forecasting: a case study of Shiraz, Iran

Scientific Reports
Accurate air quality predictions are vital for environmental management and public health, especially in urban areas facing rising pollution levels. This study investigates the potential of hybrid machine learning models based on Multilayer Perceptron ...
Marjan Salari, Loke Kok Foong, Esmaeil Salami Shahid, Hossein Moayedi, Mehmet Akif Cifci   +4 more
doaj   +1 more source

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

Advanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 more
wiley   +1 more source