作者:
Kishan Reddy, J.Devi, T.Saveetha University
Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Tamilnadu Chennai602105 India
Improvement of accuracy is the goal in every term consisting text methods by using Bi-LSTM and to perform comparison with LSTM. For the short text classification, the proposed system Bi-Directional Long Short Term Mem...
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A majority of insurers are in the opinion that Artificial Intelligence (AI) has potential to create a better customer experience, improve direction-making and achieve cost savings. One area of interest for AI in insur...
A majority of insurers are in the opinion that Artificial Intelligence (AI) has potential to create a better customer experience, improve direction-making and achieve cost savings. One area of interest for AI in insurance is in the area of recommendation of on-demand insurance policies. this automated recommendation can expedite the process of insurance recommendation as it does not involve any agents. this research involves the utilization of insurance dataset, comprising 9422 records and 86 customer features related to social-demographics and insurance purchases. the data is transformed into a graph-based representation using Stellar Graph to capture the interrelationships between features and fit into a Graph Convolutional Network (GCN). Additionally, other AI techniques such as Long Short-term Memory Networks (LSTM), Decision Tree (DT), and Support Vector Machines (SVM) were also considered. To address the issue of imbalanced data in the dataset, various class propagation techniques such as Borderline-SMOTE, Adaptive Synthetic Sampling Approach (ADASYN), and Gaussian Copula were employed with different data size ratio distributions. Overall, GCN performs well with 50:50 ratio distribution in three of the different oversampling techniques, indicating that the graph- based structure and processing algorithm of GCN are suitable for recommendation systems.
Articulated pose estimation in computer vision is the field of research that deals withthe development of algorithms and systemsthat can determine the position and orientation of an articulated body, such as a human...
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A novel corona virus explored in an outbreak of viral pneumonia in all the countries. As we all know that in current living scenario COVID-19virus has created havoc and due to this mayhem, it has affected many countri...
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this paper proposes an optimised artificial potential field obstacle avoidance algorithm, which constructs an on-board model for automatic obstacle avoidance based on biological intelligence and physical phenomena, an...
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作者:
Siddhardha, M.Jagadeesh, P.Saveetha University
Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Electronics and Communication Engineering Tamilnadu Chennai602105 India
Aim: this study presents an efficient implementation of the Novel Data Encryption Standard (DES) algorithm with an improved key generation method and the result is compared withthe Viterbi decoder algorithm. Material...
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According to the requirement of recognizing traffic police gestures for driver assistance systems and intelligent vehicles, a universal model for dynamic traffic police gesture recognition is firstly introduced, of wh...
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this paper discusses the relationship between ampacity and induced voltages within the context of the four widely adopted configurations in double-circuit underground lines. this analysis considers two scenarios: one ...
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Significant advances in the development of information and communication technology lead to collaborating computational entities into cyber-physical systems (CPS). A CPS serves as the foundation for many latest techno...
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Hitherto, the classification of blood cell subtypes constitutes a typical method for diagnosing various diseases, infections, and inflammations, therefore the application of effective cell classification methods is es...
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