Search Results for author:
Found 7 papers, 1 papers with code
A CNN-LSTM-based hybrid deep learning approach to detect sentiment polarities on Monkeypox tweets
An architecture built on CNN and LSTM is utilized to determine how accurate the prediction models are.
Patronage and power in rural India: a study based on interaction networks
This work has two intertwined components: first, as part of a research programme it introduces a new methodology for identifying `power-centres' in rural societies of developing countries in general and then applies that in the specific context of contemporary rural India for addressing some debates on the dynamics of power in rural India.
Network-centric indicators for fragility in global financial indices
Over the last two decades, financial systems have been studied and analysed from the perspective of complex networks, where the nodes and edges in the network represent the various financial components and the strengths of correlations between them.
A perspective on correlation-based financial networks and entropy measures
In this brief review, we critically examine the recent work done on correlation-based networks in financial systems.
Feasibility of Principal Component Analysis in hand gesture recognition system
The experimental results show that PCA is feasible to be used for hand gesture recognition system.
A Fast Keypoint Based Hybrid Method for Copy Move Forgery Detection
The proposed method has performed better than the existing forgery detection method using SURF significantly in terms of detection speed and is invariant to post processing operations like rotation and scaling.
A Hybrid Approach for Improved Content-based Image Retrieval using Segmentation
The objective of Content-Based Image Retrieval (CBIR) methods is essentially to extract, from large (image) databases, a specified number of images similar in visual and semantic content to a so-called query image.
