Titlebook: Information, Communication and Computing Technology; 6th International Co Mahua Bhattacharya,Latika Kharb,Deepak Chahal Conference proceedi

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Comparative Analysis of Serverless Solutions from Public Cloud ProvidersThese scenarios included several phases of sudden and spontaneous load increment and decrement, mimicking how it happens in real-world situations. Finally, we observed how quickly and effectively they scale, their cold boot times, and their response times.

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Secure Data Transmission Techniques for Privacy Preserving Computation Offloading Between Fog Comput. The architecture relies on establishing a layer of Data-Tables over the communicating nodes and a novel Encryption Procedure encompassed within the data transfer mechanism. The objective is to ensure a smooth flow of computation and data transfer while providing the necessary privacy and security

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Web-Based Real-Time Gesture Recognition with Voice by Node.js which helps in the development of web application and is written in JavaScript. In the proposed application, ML algorithm is running in the web browser, hence there is no need to install any driver or library. Users just need to open the webpage and the program is ready to run. Users can

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A MapReduce Approach to Automatic Key File Updates for SPT (Squeeze, Pack and Transfer) Algorithm decompressing files with the help of the SPT algorithm. It can not only eliminate the manual generation of the keys for SPT algorithm but also it helps in reducing the time required for creation and updates of the key files.

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Performance Analysis of Named Entity Recognition Approaches on Code-Mixed Datae generation, etc. In this work, we present a study on the performance analysis of various approaches to the automatic NER of code-mixed data and propose an improved approach based on BiLSTM-CRF for NER. In this approach, we pass pre-trained word embeddings, trainable character embeddings and a few

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Quantum Based Deep Learning Models for Pattern Recognitionf classical model by incorporating Grover’s search method and quantum Hebbian learning. The aim of writing this article is to introduce the necessity of deep learning model, an emergence of quantum computations, discussion over requisites of data preprocessing techniques, then to propose the classic

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Story Generation from Images Using Deep Learning stories on input images. Thus, when testing the model’s performance, a list of names will be entered from the first component so that the second generator arranges them and generates a short story from them. The proposed model developed could generate a short story expressive of an input image as s

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Detecting Text-Bullying on Twitter Using Machine Learning AlgorithmsdaBoost Classifier, K-neighbors Classifier, and Logistic Regression machine learning models. Then tuning a model fitting the best results we get in (TFIDF). We achieve the best accuracy, 0.924 in the Linear SVC classifier, best F1 Score 0.942% in the same classifier, the best Precision 0.975 in the