Challenges and opportunities of text-based emotion detection: a survey

A Al Maruf, F Khanam, MM Haque, ZM Jiyad… - IEEE …, 2024 - ieeexplore.ieee.org
Emotion detection has become an intriguing issue for researchers owing to its
psychological, social, and commercial significance. People express their feelings directly or …

Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects

AR Javed, F Shahzad, S ur Rehman, YB Zikria… - Cities, 2022 - Elsevier
Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …

Deep learning for depression detection from textual data

A Amanat, M Rizwan, AR Javed, M Abdelhaq… - Electronics, 2022 - mdpi.com
Depression is a prevalent sickness, spreading worldwide with potentially serious
implications. Timely recognition of emotional responses plays a pivotal function at present …

An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition

MR Ahmed, S Islam, AKMM Islam… - Expert Systems with …, 2023 - Elsevier
Precise recognition of emotion from speech signals aids in enhancing human–computer
interaction (HCI). The performance of a speech emotion recognition (SER) system depends …

Hand gesture classification using a novel CNN-crow search algorithm

TR Gadekallu, M Alazab, R Kaluri… - Complex & Intelligent …, 2021 - Springer
Human–computer interaction (HCI) and related technologies focus on the implementation of
interactive computational systems. The studies in HCI emphasize on system use, creation of …

ElStream: An ensemble learning approach for concept drift detection in dynamic social big data stream learning

A Abbasi, AR Javed, C Chakraborty, J Nebhen… - IEEE …, 2021 - ieeexplore.ieee.org
With the rapid increase in communication technologies and smart devices, an enormous
surge in data traffic has been observed. A huge amount of data gets generated every …

Cardiovascular disease detection using ensemble learning

A Alqahtani, S Alsubai, M Sha… - Computational …, 2022 - Wiley Online Library
One of the most challenging tasks for clinicians is detecting symptoms of cardiovascular
disease as earlier as possible. Many individuals worldwide die each year from …

Authorship identification using ensemble learning

A Abbasi, AR Javed, F Iqbal, Z Jalil, TR Gadekallu… - Scientific reports, 2022 - nature.com
With time, textual data is proliferating, primarily through the publications of articles. With this
rapid increase in textual data, anonymous content is also increasing. Researchers are …

Context-aware emotion detection from low-resource Urdu language using deep neural network

MF Bashir, AR Javed, MU Arshad… - ACM Transactions on …, 2023 - dl.acm.org
Emotion detection (ED) plays a vital role in determining individual interest in any field.
Humans use gestures, facial expressions, and voice pitch and choose words to describe …

Speech emotion recognition via graph-based representations

A Pentari, G Kafentzis, M Tsiknakis - Scientific Reports, 2024 - nature.com
Speech emotion recognition (SER) has gained an increased interest during the last decades
as part of enriched affective computing. As a consequence, a variety of engineering …