New trends in emotion recognition using image analysis by neural networks, a systematic review
Facial emotion recognition (FER) is a computer vision process aimed at detecting and
classifying human emotional expressions. FER systems are currently used in a vast range of …
classifying human emotional expressions. FER systems are currently used in a vast range of …
AAQAL: A machine learning-based tool for performance optimization of parallel SPMV computations using block CSR
The sparse matrix–vector product (SpMV), considered one of the seven dwarfs (numerical
methods of significance), is essential in high-performance real-world scientific and analytical …
methods of significance), is essential in high-performance real-world scientific and analytical …
A Survey on Data Security in Cloud Computing Using Blockchain: Challenges, Existing-State-Of-The-Art Methods, And Future Directions
MU Ashraf - Lahore Garrison University Research Journal of …, 2021 - lgurjcsit.lgu.edu.pk
Cloud computing is one of the ruling storage solutions. However, the cloud computing
centralized storage method is not stable. Blockchain, on the other hand, is a decentralized …
centralized storage method is not stable. Blockchain, on the other hand, is a decentralized …
A predictive analysis of retail sales forecasting using machine learning techniques
M Sajawal, S Usman, HS Alshaikh… - … Research Journal of …, 2022 - lgurjcsit.lgu.edu.pk
In a retail industry, sales forecasting is an important part related to supply chain
management and operations between the retailer and manufacturers. The abundant growth …
management and operations between the retailer and manufacturers. The abundant growth …
[PDF][PDF] A survey on emotion detection from text in social media platforms
This paper provides an overview of the evolving field of emotion detection and identifies the
current generation of methods of emotion detection from social media platforms as well as …
current generation of methods of emotion detection from social media platforms as well as …
A Comparative Study of Parallel and Distributed Big Data programming models: Methodologies, Challenges and Future Directions
FG Hussain, M Wasim, A Nasir - Lahore Garrison University …, 2023 - lgurjcsit.lgu.edu.pk
According to a survey conducted in 2021, users share about 4 petabytes of data on
Facebook daily. The exponential increase in data (called big data) plays a vital role in …
Facebook daily. The exponential increase in data (called big data) plays a vital role in …
Challenges, issues and future direction for text-based emotion detection in Natural Language Processing (NLP)
F Torres-Cruz, AP Herrera-Urtiaga… - AIP Conference …, 2024 - pubs.aip.org
In today's society, communication takes place over a large geographic region, thanks to the
expansion of the Internet. Textual communication and human contact take place on social …
expansion of the Internet. Textual communication and human contact take place on social …
An accurate human emotion recognition framework using machine learning
H Aljahdali - Available at SSRN 4368217, 2023 - papers.ssrn.com
This research paper presents how speech features are used to detect and recognize the
emotions that human is trying to express in their speech. With the help of'Gaussian-Mixture …
emotions that human is trying to express in their speech. With the help of'Gaussian-Mixture …
Comparative Analysis of Machine Learning Techniques for Predicting Air Pollution
The modern and motorized way of life has cultured air pollution. Air pollution has become
the biggest rival of robust living. This situation is becoming more lethal in developing …
the biggest rival of robust living. This situation is becoming more lethal in developing …
Blockchain for Distributed Systems Security in Cloud Computing: A Review of Applications and Challenges
J Fadhil, SRM Zeebaree - Indonesian Journal of Computer Science, 2024 - 3.8.6.95
The blockchain is a technology that utilizes a decentralized and distributed ledger system to
enhance security in cloud computing for distributed systems. It has gained significant …
enhance security in cloud computing for distributed systems. It has gained significant …