A comprehensive study towards high-level approaches for weapon detection using classical machine learning and deep learning methods
Surveillance systems do not give a rapid response to deal with suspicious activities such as
armed robbery in public places. Consequently, there is a need for technology that can …
armed robbery in public places. Consequently, there is a need for technology that can …
Convolutional neural networks-an extensive arena of deep learning. A comprehensive study
N Singh, H Sabrol - Archives of Computational Methods in Engineering, 2021 - Springer
Deep learning is an evolving expanse of machine learning. Machine learning is observing
its neoteric span as deep learning is steadily becoming the pioneer in this field. With the …
its neoteric span as deep learning is steadily becoming the pioneer in this field. With the …
The short-term interval prediction of wind power using the deep learning model with gradient descend optimization
The application of wind power interval prediction for power systems attempts to give more
comprehensive support to dispatchers and operators of the grid. Lower upper bound …
comprehensive support to dispatchers and operators of the grid. Lower upper bound …
Bangla handwritten character recognition using convolutional neural network with data augmentation
RR Chowdhury, MS Hossain, R ul Islam… - 2019 Joint 8th …, 2019 - ieeexplore.ieee.org
This paper proposes a process of Handwritten Character Recognition to recognize and
convert images of individual Bangla handwritten characters into electronically editable …
convert images of individual Bangla handwritten characters into electronically editable …
Devnet: an efficient cnn architecture for handwritten devanagari character recognition
R Guha, N Das, M Kundu, M Nasipuri… - International Journal of …, 2020 - World Scientific
The writing style is a unique characteristic of a human being as it varies from one person to
another. Due to such diversity in writing style, handwritten character recognition (HCR) …
another. Due to such diversity in writing style, handwritten character recognition (HCR) …
A multi-scale deep quad tree based feature extraction method for the recognition of isolated handwritten characters of popular indic scripts
Recognition of handwritten characters is a challenging task. Variations in writing styles from
one person to another, as well as for a single individual from time to time, make this task …
one person to another, as well as for a single individual from time to time, make this task …
A novel deep learning approach for anomaly detection of time series data
Z Ji, J Gong, J Feng - Scientific Programming, 2021 - Wiley Online Library
Anomalies in time series, also called “discord,” are the abnormal subsequences. The
occurrence of anomalies in time series may indicate that some faults or disease will occur …
occurrence of anomalies in time series may indicate that some faults or disease will occur …
Isolated Bangla handwritten character recognition with convolutional neural network
The handwritten character recognition (HCR) problem has been studied extensively during
the last few decades with varying level of success. Although one of the earliest optical …
the last few decades with varying level of success. Although one of the earliest optical …
Bangla-Meitei Mayek scripts handwritten character recognition using convolutional neural network
Recognition of handwritten characters in two Indic scripts Bangla and Meitei Mayek is one of
the challenging responsibilities due to intricate patterns and scarcity of standard datasets …
the challenging responsibilities due to intricate patterns and scarcity of standard datasets …
Reshaping inputs for convolutional neural network: Some common and uncommon methods
Abstract Convolutional Neural Network has become very common in the field of computer
vision in recent years. But it comes with a severe restriction regarding the size of the input …
vision in recent years. But it comes with a severe restriction regarding the size of the input …