Results 61 to 70 of about 53,216 (300)
Information Transmission Strategies for Self‐Organized Robotic Aggregation
Advanced Robotics Research, EarlyView.In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Neutrosophy-Driven Deep Learning for Predicting Student Performance [PDF]
Neutrosophic Sets and SystemsThis paper proposes a hybrid architecture using several deep learning models in the neutrosophy environment for predicting student learning outcomes. The proposed framework proceeds on deep neural network models with the neutrosophy encoder/decoder.
N.T.K Son, N.T. Thong, N.H. Quynh
doaj +1 more source
Advanced Robotics Research, EarlyView.Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
A Formal Hierarchy of RNN Architectures [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020 To appear at ACL 2020. Updated to include computational cost estimates and updated experimental results (in an erratum appendix)
William Merrill +5 more
openaire +3 more sources
RNN abstract structure diagram.
, 2023 Music performance action generation can be applied in multiple real-world scenarios as a research hotspot in computer vision and cross-sequence analysis.
Yi Wang (32470)
core +1 more source
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
Advanced Robotics Research, EarlyView.A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
Improved Recurrent Neural Network based BP Decoding Algorithm for Polar Codes
Guangtongxin yanjiu, 2022 In recent years, the emerging Deep Learning (DL) technology has made progress in the field of decoding. Current polar code neural network decoder has faster convergence speed and better Bit Error Rate (BER) performance than Belief Propagation (BP ...
Xue-lu DENG, Da-qin PENG
doaj +1 more source
Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction
Advanced Robotics Research, EarlyView.Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith +4 more
wiley +1 more source
Surveying the prediction of risks in cryptocurrency investments using recurrent neural networks
Open EngineeringDecentralized cryptocurrencies have received much attention over the last few years. Bitcoin (BTC) has enabled straight online expenditures without the need for centralized financial institutions.
Qasim Abdulkadhim Rihab +2 more
doaj +1 more source
Comparison between the RNN and the complete RNN hierarchies.
, 2014 The RNN hierarchy, depicted by the sequence of blacks classes, consists of an initial segment of length of the complete RNN hierarchy, which has height .
Jérémie Cabessa (550636) +1 more
core +1 more source