Results 41 to 50 of about 19,064 (239)
Advanced Intelligent Systems, EarlyView.Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al +3 more
wiley +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
Advanced Intelligent Systems, EarlyView.This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Chemistry – A European Journal, EarlyView.Ru nanoparticles confined within mesoporous SiOx‐pillared montmorillonite exhibit exceptional performance for CO2 methanation. The catalyst maintains a high reaction rate even at elevated CO2 conversion while preserving high Ru mass–specific activity, overcoming typical inhibition by H2O and CO observed in conventional supported Ru catalysts.
Seunghwan Jung +4 more
wiley +1 more source
Flyways of Common Cranes Grus grus breeding in Fennoscandia [PDF]
Ornis SvecicaKnowledge of migration patterns plays an essential role for understanding spatiotemporal distribution of birds. Here we used >15,000 sightings of 1,473 colour-ringed Common Cranes Grus grus to study migration patterns of birds breeding in five regions along a longitudinal gradient of Fennoscandia. Our results confirm that Fennoscandian cranes mainly
Per Hansson +5 more
openaire +2 more sources
Prediction of Multivariate Chaotic Time Series using GRU, LSTM and RNN
Sakarya University Journal of Computer and Information SciencesChaotic systems are identified as nonlinear, deterministic dynamic systems that are exhibit sensitive to initial values. Some chaotic equations modeled from daily events involve time information and generate chaotic time series that are sequential data ...
Osman Eldoğan, Gülyeter Öztürk
doaj +1 more source
Second observation of Common Crane Grus grus in Senegal
Bulletin of the African Bird Club, 2013 (Uploaded by Plazi from the Biodiversity Heritage Library) No abstract provided.
Volker Salewski +2 more
openaire +2 more sources
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study aims at shedding light on the vast landscape of natural language processing (NLP) tasks used when analyzing sustainability reports or sustainability within integrated annual reports. A systematic literature review is carried out, identifying 160 studies of relevance.
Hannes Cordes
wiley +1 more source
EGMA: Ensemble Learning-Based Hybrid Model Approach for Spam Detection
Applied SciencesSpam messages have emerged as a significant issue in digital communication, adversely affecting users’ mental health, personal safety, and network resources.
Yusuf Bilgen, Mahmut Kaya
doaj +1 more source
Deep Underground Science and Engineering, EarlyView.This paper presents temporal and adaptive‐frequency network with MixStyle (TAMNet), a deep time‐series modeling framework for accurate and robust multi‐well oil productivity forecasting. TAMNet integrates transformer and long short‐term memory architectures to capture both short‐ and long‐term temporal dependencies, enhanced by a temporal gate unit ...
Chunxi Yang +6 more
wiley +1 more source
Deep Underground Science and Engineering, EarlyView.An intelligent inversion framework estimates the dilatancy angle of the surrounding rock from negative Poisson's ratio (NPR) anchor cable force histories. Numerical tunnel‐excavation simulations generate force data across a controlled dilatancy‐angle range, which are mapped to the target parameter using a sequential convolutional neural network (CNN ...
Li Cui +5 more
wiley +1 more source