Facial emotion recognition based on textural pattern and convolutional neural network
M Mukhopadhyay, A Dey, RN Shaw… - 2021 IEEE 4th …, 2021 - ieeexplore.ieee.org
Human emotional states can be detected by various ways such as analysingthe brain
signals (EEG), speech, skin responses, facial expressions, body gestures etc. But facial …
signals (EEG), speech, skin responses, facial expressions, body gestures etc. But facial …
Deep learning algorithms are used to automatically detection invasive ducal carcinoma in whole slide images
This paper proposes a profound learning approach in Whole-slide images of breast cancer
(WSI) for automatic detection and visual study of invasive ductal cancer (IDC) tissue regions …
(WSI) for automatic detection and visual study of invasive ductal cancer (IDC) tissue regions …
Application of AI/IoT for smart renewable energy management in smart cities
A city is considered to be smart when the application of Artificial Intelligence (AI) and the
Internet of Things (IoT) is integrated with it. This enables the collection of data from people …
Internet of Things (IoT) is integrated with it. This enables the collection of data from people …
Towards the sustainable development of smart cities through cloud computing
Smart cities are the most interesting, visible, and challenging usage of emerging
technologies such as the Internet of Things (IoT), Cloud Computing, and Artificial …
technologies such as the Internet of Things (IoT), Cloud Computing, and Artificial …
Ai and blockchain for healthcare data security in smart cities
The healthcare industry is interested in various AI and blockchain technology characteristics,
such as the immutability of data stored in a blockchain. Numerous interesting IoT-based …
such as the immutability of data stored in a blockchain. Numerous interesting IoT-based …
Introduction to distributed nearest hash: On further optimizing cloud based distributed knn variant
S Adhikary, S Banerjee - Procedia Computer Science, 2023 - Elsevier
Abstract K-Nearest Neighbors (KNN) are very popular supervised machine learning
algorithm which can be effectively used for both multi-class classification and regression …
algorithm which can be effectively used for both multi-class classification and regression …
Respiratory disease classification by CNN using MFCC
Respiratory disease is a sort of sickness that produces a high death rate in rural or urban
settings. Respiratory illnesses must be detected in advance and the rapid growth of deep …
settings. Respiratory illnesses must be detected in advance and the rapid growth of deep …
Prediction of compressive strength of geopolymer concrete by using random forest algorithm
Geopolymer concrete is a new invention of the concrete industry. It could be the future of all
construction fields due to its performance against severe conditions, and strength. It is a …
construction fields due to its performance against severe conditions, and strength. It is a …
Fusion fuzzy logic and deep learning for depression detection using facial expressions
One of the critical issues in detecting depression is using facial expressions with image data
classification. In This research paper, we proposed Fusion Fuzzy Logic ((FFL) with deep …
classification. In This research paper, we proposed Fusion Fuzzy Logic ((FFL) with deep …
Hybrid Graph Partitioning with OLB Approach in Distributed Transactions.
Abstract Online Transaction Processing (OLTP) gets support from data partitioning to
achieve better performance and scalability. The primary objective of database and …
achieve better performance and scalability. The primary objective of database and …