This research presents a novel assistive technology system designed to empower visually impaired individuals by providing enhanced object, facial, and distance detection capabilities. The system aims to replace tradit...
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This research analyzes groundwater levels across multiple districts using data from over 100 observation wells in each district. To capture seasonal variations and predict groundwater behavior, this research has devel...
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Traffic lights detection importance is increasing every year as the world is focusing on self-driven cars. Traffic lights detection is a vital task of any autonomous vehicles to ensure safety and effectiveness. In thi...
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The problem of recognizing handwritten Gujarati characters has been tried by many researchers but still it requires enough work from vowel recognition up to its online application. The problem becomes even more comple...
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SMS continues to be an indispensable component of contemporary digital communication. Because it is so widely available, cost-effective, reliable, and delivers information instantly. Its versatility enables its utiliz...
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In order for plants to respond to specific degrees of moisture stress that affect both vegetative development and crop production, circumstances called 'drought' must exist. It happens when the amount of moist...
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Agriculture is an important sector of our Indian Economy. Crops may be harmed due to non-availability of necessary resources. To avoid this problem, this paper proposes a smart irrigation system which works on IoT bas...
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The suggested method to detect the accuracy level of fake information by applying a sequence of natural language processing (NLP), blockchain, and reinforcement learning approaches. The system applies NLP algorithms t...
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An increasing number of social media and networking platforms have been widely used. People usually post the online comments to share their own opinions on the networking platforms with social media. Business companie...
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An increasing number of social media and networking platforms have been widely used. People usually post the online comments to share their own opinions on the networking platforms with social media. Business companies are increasingly seeking effective ways to mine what people think and feel regarding their products and services. How to correctly understand the online customers’ reviews becomes an important issue. This study aims to propose a method with the aspect-oriented Petri nets(AOPN) to improve the examination correctness without changing any process and program. We collect those comments from the online reviews with Scrapy tools, perform sentiment analysis using SnowNLP, and examine the analysis results to improve the correctness. In this paper, we apply our method for a case of the online movie comments. The experimental results have shown that AOPN is helpful for the sentiment analysis and verifying its correctness.
Agriculture is one of the major sources for gross regional product among the developing nations. The nature and amount of crop cultivated along with its yield in each region varies with soil and climate. Additionally,...
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