A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions

A Thakkar, K Chaudhari - Expert Systems with Applications, 2021 - Elsevier
The stock market has been an attractive field for a large number of organizers and investors
to derive useful predictions. Fundamental knowledge of stock market can be utilised with …

Multimodal objects categorization by fusing GMM and multi-layer perceptron

A Naseer, A Jalal - 2024 5th International Conference on …, 2024 - ieeexplore.ieee.org
Multi-object recognition resolves the need to instantaneously identify numerous things,
which is essential for develo** an in-depth understanding of the world of vision. Variations …

Multi-input CNN-GRU based human activity recognition using wearable sensors

N Dua, SN Singh, VB Semwal - Computing, 2021 - Springer
Abstract Human Activity Recognition (HAR) has attracted much attention from researchers in
the recent past. The intensification of research into HAR lies in the motive to understand …

Automate appliances via gestures recognition for elderly living assistance

M Muneeb, H Rustam, A Jalal - 2023 4th International …, 2023 - ieeexplore.ieee.org
Smart homes have grown in popularity not only as a luxury but also because of the
numerous benefits they provide. In this research, a home automation system is developed …

[HTML][HTML] Intelligent localization and deep human activity recognition through IoT devices

A Alazeb, U Azmat, N Al Mudawi, A Alshahrani… - Sensors, 2023 - mdpi.com
Ubiquitous computing has been a green research area that has managed to attract and
sustain the attention of researchers for some time now. As ubiquitous computing …

Robust object recognition with genetic algorithm and composite saliency map

MW Ahmed, A Jalal - 2024 5th International Conference on …, 2024 - ieeexplore.ieee.org
Object detection and recognition have emerged as crucial research areas, driven by the dire
need to address the challenges posed by identifying and recognizing objects in diverse …

An efficient deep convolutional neural network based detection and classification of acute lymphoblastic leukemia

PK Das, S Meher - Expert Systems with Applications, 2021 - Elsevier
Automated and accurate diagnosis of Acute Lymphoblastic Leukemia (ALL), blood cancer, is
a challenging task. Nowadays, Convolutional Neural Networks (CNNs) have become a …

Wearable sensor‐based human activity recognition in the smart healthcare system

F Serpush, MB Menhaj, B Masoumi… - Computational …, 2022 - Wiley Online Library
Human activity recognition (HAR) has been of interest in recent years due to the growing
demands in many areas. Applications of HAR include healthcare systems to monitor …

Pixels to precision: features fusion and random forests over labelled-based segmentation

A Naseer, A Jalal - 2023 20th International Bhurban …, 2023 - ieeexplore.ieee.org
Object classification is a crucial yet challenging vision ability to perfect The fundamental
objective is to educate computers to understand visuals the same way humans do. Due to …

Biosensor-driven IoT wearables for accurate body motion tracking and localization

NA Almujally, D Khan, N Al Mudawi, M Alonazi… - Sensors, 2024 - mdpi.com
The domain of human locomotion identification through smartphone sensors is witnessing
rapid expansion within the realm of research. This domain boasts significant potential across …