Results 151 to 160 of about 22,365 (196)
Some of the next articles are maybe not open access.
2020 10th Annual Computing and Communication Workshop and Conference (CCWC), 2020
Convolutional Neural Networks (CNNs) are deep learning architectures which play an important role in object detection, image classification, face recognition, autonomous driving applications, etc. MobileNet is a light CNN model which was developed especially for embedded vision applications.
Debjyoti Sinha, Mohamed El-Sharkawy
openaire +1 more source
Convolutional Neural Networks (CNNs) are deep learning architectures which play an important role in object detection, image classification, face recognition, autonomous driving applications, etc. MobileNet is a light CNN model which was developed especially for embedded vision applications.
Debjyoti Sinha, Mohamed El-Sharkawy
openaire +1 more source
Rose Diseases Recognition using MobileNet
2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2020Plants always prove a great assessment of human life for many years in many sectors. Nowadays plant diseases are affecting our agricultural sector very badly. As a result, farmers are facing huge losses. For developing an early treatment process, the exact and fastest detection of plant diseases can help to reduce huge economical suffering.
Aditya Rajbongshi +3 more
openaire +1 more source
MobileNet for Differential Constellation Trace Figure
2021 13th International Conference on Communication Software and Networks (ICCSN), 2021Radio frequency fingerprint technology is of great significance to the security of the Internet of Things system. When the signal uses I/Q modulation, the demodulated signal can be drawn on a two-dimensional plane, that is, constellation diagram.
Xueqin Ran, Tianfeng Yan, Teli Cai
openaire +1 more source
Driver Activity Monitoring Using MobileNets
2020Driver assistance technologies such as self-driving, automated parking, cruise control have improved exponentially and have much more relevance today but this inadvertently leads to negligence and inattention so it’s critical to have the tools to combat this cause.
Garima Tripathi +3 more
openaire +1 more source
Shoe Detection Using SSD-MobileNet Architecture
2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), 2020Falls are a global health issue that especially affects to the elderly. In our previous research, we used a millimeter wave radar to estimate the position of the feet for fall risk assessment of cane users. Radar sensors have a good accuracy, however, due to its low resolution, it is difficult to know if the radar is really tracking the position of the
Ibai Gorordo Fernandez, Chikamune Wada
openaire +1 more source
Common Garbage Classification Using MobileNet
2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM), 2018Garbage classification is the first step in waste segregation, recycling, or reuse. MobileNet was used to generate a model that classifies common trash according to the following categories: glass, paper, cardboard, plastic, metal, and other trash. A dataset of 2527 trash images in.jpg extension was used for the training.
Stephenn L. Rabano +4 more
openaire +1 more source
MobileNets for flower classification using TensorFlow
2017 International Conference on Big Data, IoT and Data Science (BID), 2017Classification of objects into their specific classes is always been significant tasks of machine learning. As the study of flower, categorizing specific class of flower is important subject in the field of Botany but the similarity between the diverse species of flowers, texture and color of flowers, and the dissimilarities amongst the same species of
Nitin R. Gavai +3 more
openaire +1 more source
Face Mask Detection Using MobileNet
2023COVID-19 virus is a pandemic that affects the whole world. It is a viral disease that affects almost everyone in one way or another. However, the effect will be different depending on many factors. The global pandemic has affected education and commerce around the world. Many people lose their lives, work, etc. Wearing a mask has become the norm.
Priya, S. Sathiya +2 more
openaire +1 more source
MobileNet Based Apple Leaf Diseases Identification
Mobile Networks and Applications, 2020Alternaria leaf blotch, and rust are two common types of apple leaf diseases that severely affect apple yield. A timely and effective detection of apple leaf diseases is crucial for ensuring the healthy development of the apple industry. In general, these diseases are inspected by experienced experts one by one.
Chongke Bi +5 more
openaire +1 more source
Towards Binarized MobileNet via Structured Sparsity
2021The rising demand for deploying convolutional neural networks (CNNs) to mobile applications has promoted the booming of compact networks. Two parallel mainstream techniques include network compression and lightweight architecture design. Despite these two techniques can theoretically work together, the naive combination results in dramatic accuracy ...
Zhenmeng Zuo +4 more
openaire +1 more source