TR-ICANet: A fast unsupervised deep-learning-based scheme for unconstrained ear recognition
Recently, several deep learning schemes have been considered for recognizing ear print.
However, deep-based schemes are known to be data-hungry and they may require a …
However, deep-based schemes are known to be data-hungry and they may require a …
A novel approach for candlestick technical analysis using a combination of the support vector machine and particle swarm optimization
Purpose In this research, the main purpose is to use a suitable structure to predict the
trading signals of the stock market with high accuracy. For this purpose, two models for the …
trading signals of the stock market with high accuracy. For this purpose, two models for the …
[PDF][PDF] Bidirectional residual LSTM-based human activity recognition
Abstract The Residual Long Short Term Memory (LSTM) deep learning approach is
attracting attension of many researchers due to its efficiency when trained on high …
attracting attension of many researchers due to its efficiency when trained on high …
A multi-crop disease identification approach based on residual attention learning
In this work, a technique is proposed to identify the diseases that occur in plants. The system
is based on a combination of residual network and attention learning. The work focuses on …
is based on a combination of residual network and attention learning. The work focuses on …
Graph-Based Feature Learning for Cross-Project Software Defect Prediction
Cross-project software defect prediction (CPDP) aims to enhance defect prediction in target
projects with limited or no historical data by leveraging information from related source …
projects with limited or no historical data by leveraging information from related source …
On Sudoku problem using deep learning and image processing technique
DKR Gaddam, MD Ansari, S Vuppala - ICCCE 2020: Proceedings of the …, 2020 - Springer
Sudoku has been a challenging puzzle for many people, in fact it is considered as a
brainstormer. Many find it difficult to solve the puzzle. We generally apply different math …
brainstormer. Many find it difficult to solve the puzzle. We generally apply different math …
Automatic adaptive weighted fusion of features-based approach for plant disease identification
With the rapid expansion in plant disease detection, there has been a progressive increase
in the demand for more accurate systems. In this work, we propose a new method combining …
in the demand for more accurate systems. In this work, we propose a new method combining …
An approach for DoS attack detection in cloud computing using sine cosine anti coronavirus optimized deep maxout network
Purpose The Denial of Service (DoS) attack is a category of intrusion that devours various
services and resources of the organization by the dispersal of unusable traffic, so that …
services and resources of the organization by the dispersal of unusable traffic, so that …
Internet of Things (IoT) Enabled Image Segmentation Model For Lung Disease Classification: An Approach Based On Particle Swarm Optimization
In the last decades, the domain of IoT has been explored by research community due to its
vast real time applications. A combination of deep learning and IoT is well accepted …
vast real time applications. A combination of deep learning and IoT is well accepted …
A semi-supervised approach for detection of scada attacks in gas pipeline control systems
The imperative role played by Supervisory Control And Data Acquisition (SCADA) systems
in providing a centralized control for modern infrastructure have made them into one of the …
in providing a centralized control for modern infrastructure have made them into one of the …