Results 61 to 70 of about 140,076 (268)
Pneumonia Classification of Thorax Images using Convolutional Neural Networks
Inform: Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi, 2020 The digital image processing technique is a product of computing technology development. Medical image data processing based on a computer is a product of computing technology development that can help a doctor to diagnose and observe a patient.
Mahmud Suyuti, Endang Setyati
doaj +1 more source
CoRR, 2018 CNNs have made a tremendous impact on the field of computer vision in the last several years. The main component of any CNN architecture is the convolution operation, which is translation invariant by design. However, location in itself can be an important cue.
Zhenyi Wang 0001, Olga Veksler
openaire +2 more sources
Advanced Materials Technologies, EarlyView.An in situ integrated TiO2/SiOx/Al2O3 synaptic phototransistor couples ultraviolet and electrical stimuli within a scalable, CMOS‐compatible oxide stack. Multimodal plasticity, spike‐timing‐dependent learning, and bee‐inspired associative conditioning are achieved through trap‐mediated temporal dynamics.
Youngbin Yoon +5 more
wiley +1 more source
Literature Review: A Comparative Study of Waste Classification using Deep Learning Algorithms
Sistemasi: Jurnal Sistem InformasiWaste type classification remains a daily challenge in modern waste management. Proper waste classification contributes significantly to environmental protection and enhances the efficiency of the recycling process.
Ariza Ikhlas, Billy Hendrik
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IDM based on image classification with CNN
The Journal of Engineering, 2019 Distributed generation (DG) has seen tremendous growth to meet the needs of ever-increasing energy demand. Most of these distributed sources are renewable in nature and connected at the consumer end.
Santhosh K.G. Manikonda +1 more
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CoRR, 2017 Faster R-CNN is one of the most representative and successful methods for object detection, and has been becoming increasingly popular in various objection detection applications. In this report, we propose a robust deep face detection approach based on Faster R-CNN.
Hao Wang 0050 +3 more
openaire +2 more sources
3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
Advanced Robotics Research, EarlyView.Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source
Advanced 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
3D CAD model classification based on Convolutional Neural Network
Journal of Harbin University of Science and Technology, 2020 Due to the intrinsic complexity of 3D CAD models, the automatic model classification methods are scarce. In this paper, an automatic 3D CAD model classification approach based on Convolutional Neural Network (CNN) is proposed.
DING Bo, YI Ming
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Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
Advanced Robotics Research, EarlyView.A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source