The paper describes the usage of self-learning Hierarchical LSTM technique for classifying
hatred and trolling contents in social media code-mixed data. The Hierarchical LSTM-based …

With the rapid development of the Internet, various forms of network attack have emerged, so
how to detect abnormal behavior effectively and to recognize their attack categories …

Voice of any human plays an important role in communication and sharing information
among each other. Through voice, internal behavior can be identified as to whether the …

Machine learning (ML) architectures based on neural model have garnered considerable
attention in the field of language classification. Code-mixing is a common phenomenon on …

Image retrieval is an important research topic in pattern recognition and computer vision. We
propose a novel content-based image retrieval method. At the image description stage, our …

One of the major challenges in content-based image retrieval (CBIR) is understanding the
actual semantic meaning of images. Generally, natural images possess a rich collection of …

The Internet of Things (IoT) is commonly employed to detect different kinds of diseases in the
health sector. Presently, disease detection is performed using MRI images, X‐rays, CT …

In order to promote the efficiency of image retrieval in mobile network and realize the fast
query of key images, this paper designs a quick search method of key feature images in …

Satellite images are vital nowadays, and it is used in remote sensing, weather forecasting,
monitor day to day national security issues, etc. Due to large capacity, resolution of the earth …

The main focus of the paper is to propose an artificial immune systems-based classification
model for code-mixed social media data. The artificial immune systems are computational …