Results 81 to 90 of about 278,943 (296)

UAV-Based Structural Damage Mapping: A Review

ISPRS International Journal of Geo-Information, 2019
Structural disaster damage detection and characterization is one of the oldest remote sensing challenges, and the utility of virtually every type of active and passive sensor deployed on various air- and spaceborne platforms has been assessed.
Norman Kerle, Francesco Nex, Markus Gerke, Diogo Duarte, Anand Vetrivel   +4 more
doaj   +1 more source

CNN-LSTM model architecture (baseline and ours).

, 2022
All CNN-Modules and FCs share weights with each other. The number marked @ is the output channel. Each layer component corresponds to the class diagram in Fig 3. Hyper-parameters not listed use the default values from Fig 3.
Shotaro Kataoka (12822434), Genki Iwaka (12822437), Masashi Oba (12822440), Hirofumi Nonaka (12822443), Tetsuro Ito (2089159)   +4 more
core   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Exploration of Machine Learning Algorithms and Class Imbalance Handling on Plant Disease Detection

Journal of Applied Informatics and Computing
Plant leaf diseases pose a significant threat to agricultural productivity, necessitating accurate and efficient identification systems for timely intervention.
Ervin Aditya, Ajie Kusuma Wardhana
doaj   +1 more source

Sparsity Invariant CNNs

2017 International Conference on 3D Vision (3DV), 2017
In this paper, we consider convolutional neural networks operating on sparse inputs with an application to depth upsampling from sparse laser scan data. First, we show that traditional convolutional networks perform poorly when applied to sparse data even when the location of missing data is provided to the network. To overcome this problem, we propose
Jonas Uhrig, Nick Schneider, Lukas Schneider, Uwe Franke, Thomas Brox, Andreas Geiger 0001   +5 more
openaire   +3 more sources

CNN-RNN prediction (1,000).

, 2019
CNN-RNN prediction (1,000).
Ruixiong Ma (7866257), Haiou Wang (7866260), Siquan Hu (7866254)   +2 more
core   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
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, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Deep Learning Approach for Music Genre Classification using Multi-Feature Audio Representations

Sistemasi: Jurnal Sistem Informasi
Automatic music genre classification is critical for enhancing user experience in streaming platforms and recommendation systems. This study proposes a Convolutional Neural Network (CNN)-based approach using the GTZAN dataset, which contains ten music ...
Nurul Asanah, Irfan Pratama
doaj   +1 more source

CNN-RNN prediction (20,000).

, 2019
CNN-RNN prediction (20,000).
Ruixiong Ma (7866257), Haiou Wang (7866260), Siquan Hu (7866254)   +2 more
core   +1 more source

Flexible Sensors for Robotics Tactile Perception: A Review

Advanced Robotics Research, EarlyView.
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