
Neelam Rawat- Research Scholar at Sangam University
Neelam Rawat
- Research Scholar at Sangam University
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17
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Publications (17)
Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative technologies reshaping nearly every aspect of our lives. From powering intelligent virtual assistants and self-driving cars to revolutionizing healthcare and finance, AI and ML are driving unprecedented advancements across industries and domains.
This book aims to...
In the wake of digitization of business processes, Software has turned into an approach to carrying out the businesses while considering software testing as an investment not as an expense. Nowadays , businesses focus on prioritizing scalability so that they may allow testers to make continuous integration and testing without affecting end user's e...
This article reviews contemporary initiatives to build Ayurveda as a global holistic health care system. India is a forerunner in this medical system. Growing desire for natural and organic products with minimal side effects, more consumer awareness, and a surge in demand for nature-derived cosmetics and day care products, are expanding its attract...
Navigating through an environment can be challenging for visually impaired individuals, especially when they are outdoors or in unfamiliar surroundings. In this research, we propose a multi-robot system equipped with sensors and machine learning algorithms to assist the visually impaired in navigating their surroundings with greater ease and indepe...
India contains a great wealth of biological diversity in its forests, its wetlands, and its marine areas which are distributed all over the country. It is a distinct identity on the world map, not only because of its geography, history, and culture but also because of its great diversity of natural ecosystems. The great Himalayan region is one of t...
Triphala Guggulu, a polyherbal Ayurvedic formulation, is among the most significant and frequently used Guggulu Kalpana. Numerous references for preparing this formulation have been mentioned in various classical texts. It has been discussed under ‘Vranashotha’ and ‘Vidradhi’ rogadhikar in Chakradutt and Yogratnakar respectively. ‘Triphala Guggulu’...
Triphala Guggulu, an Ayurvedic herbal formulation, consists of dried powder of fruits of three plants commonly known as Triphala: Emblica officinalis Gaertn. (Euphorbiaceae), Terminalia bellerica Roxb. (Combretaceae) and Terminalia chebula Retz. (Combretaceae) along with Piper longum Linn. (Piperaceae), combined with the oleo-gum resin of Commiphor...
Combining Deep Learning Technique with Granular Computing employs an inductive paradigm for the terrestrial animal’s elucidation. The proposed method frames the object (terrestrial animal) in arbitrary-shaped and sized granules rather than fixed and rectangular shaped, so that object can effectively mine and recognized. The goal is to present a for...
Wildlife Researchers examine and dig video corpus for behavioral studies of free-ranging animals, which included monitoring, analyzing, classifying & detecting, managing, counting etc. Unfortunately, automated visual implementation for challenging real-time scenarios of wildlife is not an easy task especially for classification and recognition of w...
Thanks to technological advancement in tracking systems, observing the moving patterns of a population is easier now. Capturing the movement patterns is mostly done through various tracking technologies like GPS, GIS etc. but these tracking systems basically require one or more combination of the same, and also, a node or tag to be placed on the mo...
The paper aims to bring together researchers and domain experts involved in developing and utilizing methods for knowledge extraction from massive amounts of data from moving objects. Technologies for object tracking are low cost and increasingly reliable in terms of coverage and accuracy; hence movement records are nowadays generated in huge volum...
One of the major challenges of the modern bioinformatics research is to integrate biological pathway data to understand the inner working of the cell. Various pathway data sources are often structured differently and employ algorithms for analysis and integration. Each has a specific motivation for integration that may be suitable only for a partic...