Titlebook: Inventive Computation and Information Technologies; Proceedings of ICICI S. Smys,Khaled A. Kamel,Ram Palanisamy Conference proceedings 2023

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A Meta-Classifier Link Prediction Model for False Profile Identification in Facebook,es in these networks has become more vital in exposing network intruders or malicious users. In this paper, we have included a novel meta-classifier which will notice anomalous vertices in complicated interactive network topology by extracting useful patterns. We identify that a vertex with several

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Comparison of Various CNN Models for Image Classification,eives the input image, analyzes the image, and assigns the label based on its training. Image classification provides a vital role in various fields like medical imaging, automated vehicle, social media and many more. This paper compares convolutional neural network (CNN) models like AlexNet, VGG16,

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Enhancing Customer Prediction Using Machine Learning with Feature Selection Approaches,o customer patterns and the identification of high-risk customers in the enterprise. In today’s world, machine learning approaches are being used more and more in customer pattern analysis and prediction, as well as in other areas. But in real-time, the consumer dataset often holds a poor quality of

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Parametric Analysis of Resource-Constrained Devices for Internet of Things Using FreeRTOS,h the current real-time scenario. Further, power consumption and sleep period determining approaches are not feasible in such platforms. In this paper, a novel RiotModel framework is proposed to validate the appropriateness of resource-constrained IoT-based devices to cope up with the concurrency re

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A Text Analytics Approach of Exploratory Visualization of Legal Parameters of Dowry Death Cases,text to comprehend the meaning present within the documents. Indian judicial systems rely on unstructured textual sources. Retrieving information by analyzing legal documents is a time-consuming task for legal professionals. Natural Language Processing and its techniques, i.e., text analytics can su

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Okra Cultivation Using IoT and Disease Detection,ivation time, with a substantial number of yields produced. In cultivation of okra, farmers face difficulties in maintaining the moisture in soil, detecting the diseases since okra is prone to acquire diseases, harvesting during the right period, and involving expensive labor. Scientists are trying

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Identifying Pitfalls and Solutions in Parallelizing Long Short-Term Memory Network on Graphical Pro makes it difficult. RNN is used mainly for sequential data, but the dependencies are complex, making it difficult to parallelize. Resource utilization is inefficient for RNN in GPU compared to TPU. This analysis of RNN for hate speech application is done in GPU and TPU, and the data reuse is identi

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Jyoti: An Intelligent App for Women Security,n comes a growing sense of loneliness and helplessness among certain social groups. Women’s safety is a major issue in this situation, not only for the poor but also for civilized women. Weaknesses in the situation women’s safety plans, practices, and guidelines exist to reduce violence against wome