Titlebook: Intelligent Systems and Human Machine Collaboration; Select Proceedings o Siddhartha Bhattacharyya,Mario Koeppen,Vincenzo Pi Conference pro

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Nirbhaya Naari: An Artificial Intelligence Tool for Detection of Crime Against Women,ry classification. Our approach uses Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) for video classification along with Support Vector Machine (SVM), and Random forest for audio classification.

Stable-Angina

Pre-eclampsia Risk Factors Association with Cardiovascular Disease Prediction and Diagnosing Using res taken by collecting with clinical serum for the samples of 1000 out of 1550 for preeclampsia women. These samples are divided according to training and testing ratio of 7:3. Prediction based model is developed for implementing through machine learning it is used for prenatal CVD threat in PC suf

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A Low Resource Machine Learning Approach for Prediction of Dressler Syndrome,lit into 0.7:0.3 for training and validation sets. RF presented a model accuracy of 98%, which is the best of all the six algorithms. In terms of AUC, RF exhibited the highest value of 0.995. Moreover, the models were further tuned, and the results confirmed the efficacy of RF for the classification

惹人反感

Analysis of Twitter Data for Business Intelligence,nd allows the brands to analyse what makes customers happy or frustrated, so that they can tailor products and services to meet their customers’ needs. So, in this paper we extract tweets about Samsung mobiles from twitter and use them to analyse which aspects of the product in this case mobiles are

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Detection and Classification of Cyber Threats in Tweets Toward Prevention,ories into seven subcategories of threat types. In level-1 classification, we outperformed similar systems with a test accuracy of 88.16% on the whole dataset and 88.08% accuracy on test dataset with 30% split, while in level-2 classification of threat tweets (followed by level-1) into its subcatego

convulsion

,Brain–Computer Interface for Fuzzy Position Control of a Robot Arm by Mentally Detected Magnitude ar to generate necessary control commands to control the position of the end-effector of the robotic link around the predefined target position. Experiments undertaken confirm a low percentage of overshoot and small settling time of the proposed controller in comparison to those published in the curr

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Social Media Sentiment Analysis on Third Booster Dosage for COVID-19 Vaccination: A Holistic Machinnt responses are firstly categorized into positive sentiment, negative sentiment, and neutral sentiment. A performance study is performed to quickly locate the application and based on their sentiment score the application can distinguish the positive sentiment, negative sentiment and neutral sentim

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Non-rigid Registration of De-noised Ultrasound Breast Tumors in Image Guided Breast-Conserving Surgn field among two ultrasound images and one of the popular similarity measure criteria on sum of squared difference (SSD) is used to find the dis-similarity among mono-modal images. The line search approach of the Quasi-Newton Limited-Memory (LM) Broyden–Fletcher–Goldfarb-Shanno (BFGS) algorithm is

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mCNN: An Approach for Plant Disease Detection Using Modified Convolutional Neural Network,s done and the pooling layer optimized those features, and finally a dense layer classifies the test object. Numerous synthetic and real time plan dataset have been used for evaluation. In extensive experimental analysis two ML and two DL classifiers are implemented such as SVM, PCA, CNN and modifie