RESEARCH ON DEEP NEURAL NETWORK LEARNING BASED ON IMPROVED BP ALGORITHM by HUANG Pei

“…Deep learning can make the computing model that contains a number of processing layers to learn the data that contains many levels of abstract representation.This kind of learning way in the most advanced speech recognition,visual object recognition,object detection and many other areas,such as biology,genetics and medicine brought significant improvement.Deep learning can find the complex structure of large data,and the convolution neural network as one of the important models of the depth study in the processing of voice,image,video and text,and other aspects of a new breakthrough.It is the use of BP algorithm to guide the machine how to get the error before the layer to adjust the parameters of this layer,so that these parameters are more conducive to the calculation of the model.In view of the shortcomings of traditional BP algorithm,a fast BP algorithm is proposed,which has the disadvantages of slow convergence speed and often falls into local minimum points.The improved convolutional neural network is used to validate the data set MNIST,English character recognition and medical image.The simulation results show the effectiveness of the proposed algorithm.…”
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Object Shape Recognition Using Wavelet Descriptors by Adnan Abou Nabout

“…To evaluate the results of object recognition when using wavelet descriptors taking into account the dependence on the starting point, the paper describes a sufficient method for the comparison of wavelet descriptors using the minimum distance matrix.…”
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Self-Correction Ship Tracking and Counting with Variable Time Window Based on YOLOv3 by Chun Liu, Jian Li

“…Combining the target HSV color histogram features and LBP local features’ target, object recognition and selection are realized by using the deep learning model due to its efficiency in extracting object characteristics. …”
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Alignment Detection Technology of Chang’e-6 Primary Package Container by Guanyu Wang, Shenyi Jin, Xiangjin Deng, Yufu Qu

“…To address challenges such as complex backgrounds, uneven lighting, and reflective surfaces, this paper introduces an alignment detection method that integrates YOLO object recognition, Devernay subpixel edge detection, and the RANSAC fitting algorithm. …”
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Enhancing classification efficiency in capsule networks through windowed routing: tackling gradient vanishing, dynamic routing, and computational complexity challenges by Gangqi Chen, Zhaoyong Mao, Junge Shen, Dongdong Hou

“…Abstract Capsule networks overcome the two drawbacks of convolutional neural networks: weak rotated object recognition and poor spatial discrimination. However, they still have encountered problems with complex images, including high computational cost and limited accuracy. …”
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A Few-Shot Learning-Based Material Recognition Scheme Using Smartphones by Yeonju Kim, Jeonghyeon Yoon, Seungku Kim

“…The existing research on material and object recognition using smartphone vibrations and accelerometers often requires vast amounts of training data for deep learning-based models, making it challenging to apply to real-world applications. …”
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Object identity representation occurs early in the archerfish visual system by Svetlana Volotsky, Ronen Segev

“…To understand the neural basis of this object recognition, we investigated the neural representation of features and objects in the archerfish optic tectum using recording of single cells. …”
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Neural network-based robot localization using visual features by Felipe Trujillo-Romero

“…It incorporates an object recognition module that leverages local features and unsupervised artificial neural networks to identify non-dynamic elements in a room and assign them positions. …”
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FUZZY REGION MERGING WITH HIERARCHICAL CLUSTERING TO FIND OPTIMAL INITIALIZATION OF FUZZY REGION IN IMAGE SEGMENTATION by Wawan GUNAWAN

“…Image segmentation is also a fundamental stage in the development of other image applications such as object recognition, target tracking, computer vision, and biomedical image processing. …”
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Performance Analysis of Interaction between Smart Glasses and Smart Objects Using Image-Based Object Identification by Jacek Rumiński, Adam Bujnowski, Tomasz Kocejko, Jerzy Wtorek, Alexey Andrushevich, Martin Biallas, Rolf Kistler

“…Particularly we are focusing on new interaction methods and the analysis of acceptable reaction times in the process of object recognition using smart glasses. We evaluated the proposed method using user studies and experiments with three different smart glasses: Google Glass, Epson Moverio, and the developed eGlasses platform. …”
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Dynamic Collision Alert System for Collaboration of Construction Equipment and Workers by Ren-Jye Dzeng, Binghui Fan, Tian-Lin Hsieh

“…Although the accuracy of object recognition and image-based distance estimation is feasible for practical use, it is also easily degraded in the self-obstruction scenario or for equipment with large and movable parts due to incorrect recognition of the bounding boxes of the target objects.…”
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Nerve Blockage Attenuates Postoperative Inflammation in Hippocampus of Young Rat Model with Surgical Trauma by Yi He, Zhi Li, Yun-Xia Zuo

“…Open field test and new object recognition task were performed before surgery and on postoperative days (POD) 1, 3, and 7. …”
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A Feature-Enhanced Small Object Detection Algorithm Based on Attention Mechanism by Zhe Quan, Jun Sun

“…With the rapid development of AI algorithms and computational power, object recognition based on deep learning frameworks has become a major research direction in computer vision. …”
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Current status and application of visual-tactile sensing technology by Bin WEI, Zihao WANG, Ping WANG, Jie LI, Guang LIU

“…At the same time, the application status of visual touch fusion sensors in object recognition and detection, object slip and grasping stability detection, and robot grasping fields was summarized. …”
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Caffeic Acid Phenethyl Ester Protects Neurons Against Oxidative Stress and Neurodegeneration During Traumatic Brain Injury by Nurul Sulimai, Jason Brown, David Lominadze

“…Mice memory was assessed using novel object recognition and contextual fear conditioning tests. …”
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A High-Fat Diet Causes Impairment in Hippocampal Memory and Sex-Dependent Alterations in Peripheral Metabolism by Erica L. Underwood, Lucien T. Thompson

“…Regardless of peripheral metabolism alteration, rats of both sexes fed the HFD were equally impaired in a spatial object recognition memory task associated with impaired hippocampal function. …”
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An enriched environment promotes cognitive recovery and cerebral blood flow in aged mice under sevoflurane anaesthesia by Wenfeng Gao, Wenji Xie, Wenqin Xie, Changcheng Jiang, Zhenming Kang, Naizhen Liu

“…The behavioural tests include Morris water maze, Y maze and novel object recognition. Magnetic resonance imaging (MRI) was used to determine the blood circulation in the brains. …”
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Differential affection of the visual information sub-streams in a patient with visual agnosia by Kirstin Lederer, Bruno Fimm, Jorn Munzert, Mathias Reiser, Heiko Maurer, Ferdinand Binkofski, Ferdinand Binkofski, Ferdinand Binkofski, Antonello Pellicano

“…IntroductionVisual agnosia is a deficit of object recognition addressed to the damage of the ventral stream (VS). …”
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A dataset for tactile textures on uneven surfaces collected using a BioIn-Tacto sensing moduleMendeley Data by Maliheh Marzani, Soheil Khatibi, Ruslan Masinjila, Vinicius Prado da Fonseca, Thiago Eustaquio Alves de Oliveira

“…The tactile texture dataset applies to various projects in object recognition and robotic manipulation, making it particularly valuable for tasks involving tactile texture reconstruction and recognition. …”
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E3 ubiquitination ligase XIAP lightens diabetes‐induced cognitive impairment by inactivating TXNIP‐ERS‐mediated neuronal injury by Qin Zhang, Hai‐Jin Huang, Jing‐Ling Zhang, Ying Tian, Ying Hu

“…Cognitive and memory functions were assessed using the Morris water maze (MWM) and novel object recognition test (ORT).…”
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