Sea surface height anomaly (SSHA) plays a pivotal role in ocean dynamics and climate systems. This article develops a graph-based memory recall recurrent neural network (GMR-Net) to achieve accurate and reliable mid-term spatiotemporal prediction of the ...
Yuan Zhou +4 more
doaj +1 more source
The spatiotemporal prediction method of urban population density distribution through behaviour environment interaction agent model. [PDF]
Yang J, Shi Y, Zheng Y, Zhang Z.
europepmc +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
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 +3 more
wiley +1 more source
SICFormer: A 3D-Swin Transformer for Sea Ice Concentration Prediction
Sea ice concentration (SIC) is an important dimension for characterising the geographical features of the pan-Arctic region. Trends in SIC bring new opportunities for human activities in the Arctic region.
Zhuoqing Jiang +4 more
doaj +1 more source
Dual Memory LSTM with Dual Attention Neural Network for Spatiotemporal Prediction. [PDF]
Li T, Guan Y.
europepmc +1 more source
Continuum Robots in Surgery: From Engineering Design to Clinical Practice
The hyper‐redundant nature of continuum robot structures enables near‐infinite degrees of freedom leading to immense potential for medical applications. This review provides a historical background of continuum robots and novel ideas shaping their progress to current structural design, sensing technology, modeling techniques, and control methods.
Griffin Smith +6 more
wiley +1 more source
Spatiotemporal data modeling and prediction algorithms in intelligent management systems
In order to solve the problem of difficulty in learning semantic pattern representations between user dynamic interest sequences using path based and knowledge graph based entity embedding methods, the author proposes research on spatiotemporal data ...
Xin Cao +5 more
core +1 more source
A Spatiotemporal Prediction Model for Black Carbon in the Denver Metropolitan Area, 2009-2020. [PDF]
Martenies SE +9 more
europepmc +1 more source
Flexible Sensors for Robotics Tactile Perception: A Review
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley +1 more source
Spatial Performance Indicators for Traffic Flow Prediction
Traffic flow prediction, crucial for traffic management, relies on spatial and temporal data to achieve high accuracy. However, standard performance metrics only measure the average prediction errors and overlook the spatiotemporal aspects.
Muhammad Farhan Fathurrahman +1 more
doaj +1 more source

