Results 61 to 70 of about 53,606 (313)

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

open access: yesAdvanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Fractal Neural Network Approach for Analyzing Satellite Images

open access: yesApplied Artificial Intelligence
Satellites play a critical role in modern technology by providing images for various applications, such as detecting infrastructure and assessing environmental impacts. The author’s work investigates the application of Fractal Neural Networks (FractalNet)
Volodymyr Shymanskyi   +2 more
doaj   +1 more source

Convolutional Neural Network (CNN) with Randomized Pooling

open access: yes, 2022
Abstract Convolutional Neural Network (CNN) is a deep learning approach to solve complex problems, and it has been widely used in image processing for image classification, object identification, semantic segmentation etc. It has overcome the constraint of traditional machine learning approaches.
Hafiz Imran   +2 more
openaire   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

open access: yesAdvanced 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

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

open access: yesAdvanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou   +4 more
wiley   +1 more source

Energy-Efficient Architecture for CNNs Inference on Heterogeneous FPGA

open access: yesJournal of Low Power Electronics and Applications, 2019
Due to the huge requirements in terms of both computational and memory capabilities, implementing energy-efficient and high-performance Convolutional Neural Networks (CNNs) by exploiting embedded systems still represents a major challenge for hardware ...
Fanny Spagnolo   +3 more
doaj   +1 more source

A Wearable Brain–Computer Interface for Mitigating Car Sickness via Attention Shifting

open access: yesAdvanced Science, EarlyView.
Car sickness poses a major challenge in vehicular travel, yet effective nonpharmacological solutions are scarce. We developed a wearable, closed‐loop mindfulness BCI that uses real‐time EEG‐based neurofeedback to shift attention away from motion‐induced discomfort. Validated in real‐car experiments involving >100$>100$ susceptible individuals, over 83%
Jiawei Zhu   +14 more
wiley   +1 more source

Intelligent Stain‐Free Histology on Structural Colorimetric Nanocavities

open access: yesAdvanced Science, EarlyView.
Chen and Gan et al. introduce a label‐free imaging platform using inexpensive Nanocavity‐on‐Silicon (NOS) slides. These slides transform subtle tissue variations into vivid structural colors, enabling high‐contrast histological imaging under a regular optical microscope. This stain‐free approach reveals morphological details comparable to traditional H&
Qizhe Chen   +18 more
wiley   +1 more source

3D Discrete Matrix-Product Operation and Its Generalization

open access: yesJournal of Function Spaces
Two-dimensional (2D) discrete matrix-product operation (DMPO) and its corresponding matrix-product neural networks (MPNNs) are the substitutions of 2D discrete convolutional operation and its corresponding convolutional neural networks (CNNs ...
Chuanhui Shan, Hu Li, Chao Han
doaj   +1 more source

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