Category: 7. Maths

In this section, the experiment configurations and results using the Z-DCE-DNet for Underground Mine image enhancement are presented. Firstly, the PyTorch deep learning framework was used, running on an NVIDIA GeForce RTX 1650 GPU, applied to…

Dataset building

The dataset utilized in this research is primarily sourced from the Chinese Ocean Polymetallic Nodule Survey, conducted in the Clarion-Clipperton Fracture Zone (CCZ) of the equatorial northeastern Pacific. This dataset encompasses…

LLMs, being deep neural networks, have several layers, including self-attention mechanisms, feedforward networks, and embedding layers, all of which require significant amounts of memory and computation. The self-attention mechanism, for example,…

Agriculture plays a vital role in enhancing several nations’ economic growth and food security worldwide. In India, onion (Allium Cepa) is one of the most widely cultivated and consumed vegetable and cash crops with indispensable commercial,…

Calculation of the basic reproduction number \({\mathcal {R}}_0\)

An important concept in epidemiology is the basic reproduction number, denoted by \({\mathcal {R}}_0\). This number indicates, on average, how many other…

We deploy a smart intelligent routing mechanism in underwater acoustic communication sensor network to provide a reliable system based on 3–4 applications. The conceptualization and implementation of the proposed system stem from a…

The methodologies used for the professional footprint in the four distinct categories: Experiments, Institutions, Computing, and Travel, are discussed in the following.

Experiment, collaboration or project footprint

The experiment, collaboration or…

A strong framework for predicting attacks and identifying anomalies in traffic is developed by the PSO-GRUGAN-IDS model, which combines several technologically advanced approaches. The intrusion detection system (IDS) examines network data to…

Experimental setup

The dedicated setup shown in Fig. 1, installed in a sound-proofed room to minimize external noise interference, was designed to record high-resolution visual, audio, and haptic data as a participant’s finger slides against…

In this section, we explain the research process, including the preparation of the dataset, details of the main architecture of the model, and the methods used to perform an in-depth evaluation of the model performance.

Dataset preparation

This…