Titlebook: Machine Intelligence for Research and Innovations; Proceedings of MAiTR Om Prakash Verma,Lipo Wang,Anupam Yadav Conference proceedings 2024

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,Enhancing Performance of?Noise-Robust Gujarati Language ASR Utilizing the?Hybrid Acoustic Model and compared to baseline MFCC with greedy decoding. This method exhibits potential for enhancing ASR systems, making them more reliable and accurate for real-world applications necessitating precise speech-to-text conversion.

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Harnessing the Power of Machine Learning Algorithms for Landslide Susceptibility Prediction,le and not susceptible. Evaluating classification performance, we achieved test accuracies ranging from 69.30 to 78.71%. The K-Nearest Neighbors (KNN) algorithm outperformed other models, yielding superior accuracy with an optimal k-value for the chosen dataset.

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,A Simple Algorithm to?Secure Data Dissemination in?Wireless Sensor Network,ransmission in a wireless sensor network (WSN) is figuring out the best method for encrypting data as it moves from the sensors to the central node. In order to move encrypted data from different sensor nodes to sink nodes efficiently in wireless sensor networks, this paper introduces a simple data encryption technique.

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Character-Level Bidirectional Sign Language Translation Using Machine Learning Algorithms, that uses various machine learning algorithms, including Support Vector Machines (SVM), Random Forest, Logistic Regression (LR), and K-Nearest Neighbors (KNN), as well as deep learning algorithm—Convolutional Neural Networks (CNN), to provide a solution to this communication issue.

BRIEF

2367-3370 al Institute of Technology Jalandhar.Serves as a reference f.The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on?MAchine inTelligence for Research & Innovations (MAiTRI 2023 Summit), held at Dr. B. R. Ambedkar National Institute o

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