Titlebook: Machine Intelligence and Soft Computing; Proceedings of ICMIS Debnath Bhattacharyya,Sanjoy Kumar Saha,Philippe F Conference proceedings 202

Obvious

Analyzing Comments on Social Media with XG Boost Mechanism,, and various character traits such as emoticons, quotes, hashtags, mentions, etc. The Word2Vec model is used to improve performance and activate words in vectors. Bag of Words uses machine learning algorithms like Random Forest and Naive Bayes. Finally, the XG Boost model is used with advanced para

FLAX

Distributed Edge Learning in Emerging Virtual Reality Systems,employing artificial intelligence and edge computing technologies. Then, this model is simulated and analyzed. Analysis of instantaneity reveals the higher maximum downlink power, the smaller the system delay. Comparative analysis of offloading performance suggests that the system converges more sta

Palatial

A Review on Deep Learning-Based Object Recognition Algorithms,developing various object recognition applications like biometric regulation, image retrieval, security, machine inspection, medical imaging, and digital watermarking. It also plays a substantial role in the invention of autonomous automobiles, to have safe driving by detecting objects and road sign

Abutment

,A Study on Human–Machine Interaction in Banking Services During COVID-19,ommon devices or doing from home. The safer the transaction, the more customer satisfaction. On one hand, banks have become the lifeblood of every human today because any transaction payment from grocery to gold/house demands interaction of human–machine rather than manual payments. On the other han

AV-node

Legend

Face Expression Recognition in Video Using Hybrid Feature Extractor and CNN-LSTM,video sequences to automatically identify human expression categories. In this paper, we propose a Hybrid feature extractor, analyze various deep learning classifiers and their performance. Addressing illumination invariance and scale invariance, this method initially pre-processes the input video t

anagen

Kidnap

EVADE

BRIEF

Anomaly Detection in Solar Radiation Forecasting Using LSTM Autoencoder Architecture,ar radiation recently. In this project, we are predicting the solar radiation on a particular day of the year using Long Short-Term Memory autoencoder (LSTM autoencoder) architecture. Using LSTM autoencoder, we can detect the anomalies in the data. This amount of data collected makes the quest for d