Structural crack detection using deep convolutional neural networks
Abstract Convolutional Neural Networks (CNN) have immense potential to solve a broad
range of computer vision problems. It has achieved encouraging results in numerous …
range of computer vision problems. It has achieved encouraging results in numerous …
Sensor-based and vision-based human activity recognition: A comprehensive survey
Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …
of sensing devices, including vision sensors and embedded sensors, has motivated the …
Phase-to-pattern inverse design paradigm for fast realization of functional metasurfaces via transfer learning
R Zhu, T Qiu, J Wang, S Sui, C Hao, T Liu, Y Li… - Nature …, 2021 - nature.com
Metasurfaces have provided unprecedented freedom for manipulating electromagnetic
waves. In metasurface design, massive meta-atoms have to be optimized to produce the …
waves. In metasurface design, massive meta-atoms have to be optimized to produce the …
Transfer fault diagnosis of bearing installed in different machines using enhanced deep auto-encoder
The collected vibration data with labeled information from bearing is far insufficient in
engineering practice, which is challenging for training an intelligent diagnosis model. For …
engineering practice, which is challenging for training an intelligent diagnosis model. For …
Deep learning-based anomaly detection in video surveillance: A survey
Anomaly detection in video surveillance is a highly developed subject that is attracting
increased attention from the research community. There is great demand for intelligent …
increased attention from the research community. There is great demand for intelligent …
Identification of haploid and diploid maize seeds using convolutional neural networks and a transfer learning approach
Maize is one of the most significant grains cultivated all over the world. Doubled-haploid is
an important technique in terms of advanced maize breeding, modern crop improvement …
an important technique in terms of advanced maize breeding, modern crop improvement …
Transfer learning: Survey and classification
A key notion in numerous data mining and machine learning (ML) algorithms says that the
training data and testing data are essentially in the similar feature space and also have the …
training data and testing data are essentially in the similar feature space and also have the …
TPCNN: two-path convolutional neural network for tumor and liver segmentation in CT images using a novel encoding approach
A Aghamohammadi, R Ranjbarzadeh, F Naiemi… - Expert Systems with …, 2021 - Elsevier
Automatic liver and tumour segmentation in CT images are crucial in numerous clinical
applications, such as postoperative assessment, surgical planning, and pathological …
applications, such as postoperative assessment, surgical planning, and pathological …
Estimation of lithium-ion batteries state-condition in electric vehicle applications: issues and state of the art
K Laadjal, AJM Cardoso - Electronics, 2021 - mdpi.com
Lithium-ion batteries are the most used these days for charging electric vehicles (EV). It is
important to study the aging of batteries because the deterioration of their characteristics …
important to study the aging of batteries because the deterioration of their characteristics …
Research on maize seed classification and recognition based on machine vision and deep learning
P Xu, Q Tan, Y Zhang, X Zha, S Yang, R Yang - Agriculture, 2022 - mdpi.com
Maize is one of the essential crops for food supply. Accurate sorting of seeds is critical for
cultivation and marketing purposes, while the traditional methods of variety identification are …
cultivation and marketing purposes, while the traditional methods of variety identification are …