Titlebook: Universal Threats in Expert Applications and Solutions; Proceedings of 3rd U Vijay Singh Rathore,Joao Manuel R. S. Tavares,Anil Conference

怕失去錢

Elevator-Based Earth Tremor Sentinel Technique with MQTT Protocol,ion using a vibration sensor, the data is sent to the cloud using the MQTT protocol for further use and displays the EAQ alert message on the LCD. In the event of a disaster, if it finds out it is a true alarm, then the elevator will automatically go to the nearest floor. This allows passengers to s

痛恨

EWER

conduct

Tagging of Uterine Cervix Cases at Cell and Slide Level Through Transfer Learning,the starting point for a model on a second related task. Transfer learning is a very less time-consuming approach as compared to training from scratch. Among the popular variants of convolutional neural networks (CNN), the study has used ResNet50, owing to its proven classification potential as repo

Agility

Estimation of Medical Expenses Using Machine Learning,e engineering and data pretreatment methods are used. The models are assessed for accuracy and generalizability using measures like mean absolute error (MAE), mean squared error (MSE), and R-squared (R.). Age, BMI, and smoking habits are among the things that are known to have a major impact on pred

補(bǔ)助

A Hybrid Methodology for Software Development and IT Team Analysis in Manufacturing,evelopment paradigm inside an in-house IT team that works in the manufacturing business are the subject of this research, which explores those results. This study intends to evaluate the effects of combining conventional and agile approaches for software development by thoroughly examining software

Digest

AI Enabled Convolutional Neural Networks to Detect Brain Tumors, human-aided manual characterization might result in erroneous anticipations and discoveries. We proposed the use of a convolutional neural network as a means of differentiating cancers from 2D appealing resonance brain imaging (MRI). The exploratory study was carried out on a dataset that included

nugatory

平靜生活

Multimodal Fusion-Based Hybrid CRNN Model for Emotion Prediction in Music,o distinguish four musical emotions. Testing results show that the suggested approach outperforms existing techniques in terms of recognition accuracy (97.72%). The recommended method presents a novel, useful suggestion for the advancement of musical emotion identification.

Conscientious

Multimodal Analysis of Induction Motor Signals for Power Quality Abnormality Detection Using Waveleof the motor. Here the motor vibrations are detected by using MEMS vibration sensor. The proposed setup output has been simulated using “MATLAB” toolbox for various conditions. Two hundred sampled data set is used for training the Radial Basic Function Neural Network (RBFNN) to detect the anomalous