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Autonomous pedestrian detection for crowd surveillance using deep learning framework
Pedestrian detection is crucial for crowd surveillance applications and cyber-physical systems that can deliver timely and sophisticated solutions,...
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Hate Speech Detection Using Glove and BERT
The increasing prevalence of hate speech, on platforms poses a threat to inclusive communication. In our research we have utilized word embeddings to...
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A Survey on Web 3.0 Security Issues and Financial Supply Chain Risk Based on Neural Networks and Blockchain
With the development of Web 3.0, issues of privacy and ownership have arisen. Supply chain finance (SCF) has given rise to a risk of credit for...
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Experimental Analysis of Different Autism Detection Models in Machine Learning
Autism, frequently called autism spectrum disorder (ASD), is considered a chief developmental illness impacting people's ability to talk and...
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Sentiment Analysis of Reviews Using Bi-LSTM Using a Fine-Grained Approach
In the era of digitization, where everything is available online, and further, information about everything is online, we have transcended into a new...
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Natural Scenes’ Text Detection and Recognition Using CNN and Pytesseract
The problem of one of the long-existing research topics being sequence recognition for natural images and videos is taken into account in the paper....
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Advances in Text Summarization Techniques: A Comprehensive Review and Future Prospects
This research work provides a concise comparative analysis of prominent content summarization models, namely Textrank, T5, Pegasus, and Bart. The...
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Application of Robotics in Digital Farming
Agarwal, Drishti Mangla, Aakash Nagrath, PreetiCultivation is the most labour-intensive field, as most of the work is done manually by the farmer,...
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Securing of Identification System Data Transmission Using Deep Autoencoders and Data Hiding
The reliability of any identification systems depends on the level of security provided to the storage of sensitive data. These identification...
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Web-Based Application for Medicinal Plant Identification Using Transfer Learning Approach
This research addresses crucial challenges in identifying medicinal plants in India, essential for Ayurvedic Pharmaceutics. It proposes a pioneering...
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Detection of Autism Using Deep Learning
Autism, also referred to as autism spectrum disorder (ASD), is a significant developmental disorder which impacts individuals’ communication as well...
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A Real-Time Crowd Tracking and Control System Using Deep Learning
Deep Learning-Based Real-Time Crowd Tracking and Control CNN the difficulties in crowd monitoring and healthcare management are highlighted by the...
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Prediction and Analysis of Polycystic Ovary Syndrome Using Machine Learning
Polycystic ovary syndrome (PCOS) is a widespread pathology that affects many aspects of women’s health, with long-term consequences beyond the...
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Forecasting Rate of Spread of Covid-19 Using Linear Regression and LSTM
COVID-19 virus, knows as novel coronavirus, spread across the world. The World Health Organization (WHO) marked March 11, 2020 as the day when...
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A Novel Review on Healthcare Data Encryption Techniques
Sharing of personal digital health information is an arising idea of changing health statistics for research and different functions....
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Applications of Blockchain in Various Domains
The enthusiasm for blockchain innovation has been expanding since the thought was authored in 2008. Blockchain refers to the system where records of...
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Real-Time Anomaly Detection Surveillance System
Video surveillance plays an important role in today’s generation. Due to its relationship with image understanding and video analysis, it has been...
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Analysis of Road Accidents in India and Prediction of Accident Severity
Road accidents are a global menace, and no country can curb it. In this paper, an attempt has been made to study the various factors associated with...
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A Dynamic Approach of Eye Disease Classification Using Deep Learning and Machine Learning Model
In today’s world, machine learning and deep learning models are applied in the diagnosis of eye diseases in an automated manner. Cataract, one of the...
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Identification and Minimization of Churn Rate Through Analysing Financial Routines Using Machine Learning
In recent years, source of revenue for companies across all industries is subscription products. Hence, it is crucial to know the user area of...