New trends in emotion recognition using image analysis by neural networks, a systematic review

AL Cîrneanu, D Popescu, D Iordache - Sensors, 2023 - mdpi.com
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 …

AAQAL: A machine learning-based tool for performance optimization of parallel SPMV computations using block CSR

M Ahmed, S Usman, NA Shah, MU Ashraf… - Applied Sciences, 2022 - mdpi.com
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 …

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 …

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 …

[PDF][PDF] A survey on emotion detection from text in social media platforms

MU Ashraf, M Rehman, Q Zahid… - … Research Journal of …, 2021 - researchgate.net
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 …

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 …

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 …

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 …

Comparative Analysis of Machine Learning Techniques for Predicting Air Pollution

MU Ashraf, F Akram, S Usman - Lahore Garrison University …, 2022 - lgurjcsit.lgu.edu.pk
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 …

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 …