In the daily operations of both small and large businesses, the handling of voluminous invoices remains an enduring challenge. The manual input and validation of invoice data not only imposes significant labor demands...
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The IoT is a network of physical objects embedded with sensors and software, connecting and exchanging data over the internet. With over 7 billion connected devices, experts predict growth to 10 billion by 2020 and 22...
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In the last decade,there has been remarkable progress in the areas of object detection and recognition due to high-quality color images along with their depth maps provided by RGB-D *** enable artificially intelligent...
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In the last decade,there has been remarkable progress in the areas of object detection and recognition due to high-quality color images along with their depth maps provided by RGB-D *** enable artificially intelligent machines to easily detect and recognize objects and make real-time decisions according to the given *** cues can improve the quality of object detection and *** main purpose of this research study to find an optimized way of object detection and identification we propose techniques of object detection using two RGB-D *** proposed methodology extracts image normally from depth maps and then performs clustering using the Modified Watson Mixture Model(mWMM).mWMM is challenging to handle when the quality of the image is not ***,the proposed RGB-D-based system uses depth cues for segmentation with the help of *** it extracts multiple features from the segmented *** selected features are fed to the Artificial Neural Network(ANN)and Convolutional Neural Network(CNN)for detecting *** achieved 92.13%of mean accuracy over NYUv1 dataset and 90.00%of mean accuracy for the Redweb_v1 ***,their results are compared and the proposed model with CNN outperforms other state-of-the-art *** proposed architecture can be used in autonomous cars,traffic monitoring,and sports scenes.
The research emphasizes on enhancing the accuracy of predicting the value of Metaverse token price by utilizing the Logistic Regression algorithm and evaluating its performance in comparison to the Long Short-Term Mem...
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The most recent field of study to develop computer interface systems is emotion recognition through speech. In the proposed work two phases are designed, first phase is based upon feature extraction and second phase i...
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Internet of things (IOT) is taking over the world and is rapidly modernizing and transforming the world. Dominant parts of India are dependent on agriculture as occupation and with current farming practices, it is not...
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The main objective of this study is to generate a common approach which links machine learning models for prediction of Parkinson's Disease (PD) having complications with the movement and other non-motor features....
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The maximum not unusual cancer among women is Breast cancer. Early detection and accurate diagnosis are crucial for improving patient outcomes. Over the years, numerous classification techniques have been developed to...
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Video interpretation systems are widely used for assisting people with visual impairments. The main goal of a video interpreter system is to help people with visual impairments. By leveraging technologies such as Text...
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The recommender system is studied widely and applied in different domains in this era. However, the domain of course recommendation, particularly for elective courses, has yet to be thoroughly explored. Within the rea...
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