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A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions
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 …
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 …
which is essential for develo** an in-depth understanding of the world of vision. Variations …
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 …
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
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 …
sustain the attention of researchers for some time now. As ubiquitous computing …
[PDF][PDF] Vehicle detection and tracking from Aerial imagery via YOLO and centroid tracking
S Ali, J Ahmad - ICACS, 2023 - researchgate.net
Traffic monitoring is of outmost importance in today's modern world. In the past, stationary
data collectors such as video cameras and induction loops were used for this task. However …
data collectors such as video cameras and induction loops were used for this task. However …
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 …
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
Automated and accurate diagnosis of Acute Lymphoblastic Leukemia (ALL), blood cancer, is
a challenging task. Nowadays, Convolutional Neural Networks (CNNs) have become a …
a challenging task. Nowadays, Convolutional Neural Networks (CNNs) have become a …
Biosensor-driven IoT wearables for accurate body motion tracking and localization
The domain of human locomotion identification through smartphone sensors is witnessing
rapid expansion within the realm of research. This domain boasts significant potential across …
rapid expansion within the realm of research. This domain boasts significant potential across …
Efficient aerial images algorithms over multi-objects labeling and semantic segmentation
A Naseer, A Jalal - 2024 5th International Conference on …, 2024 - ieeexplore.ieee.org
Aerial imagery is gaining significance across various domains, comprising agriculture,
disaster management, and surveillance. Durin this study, a unique method to tackle the …
disaster management, and surveillance. Durin this study, a unique method to tackle the …
[PDF][PDF] Integrating Semantic Segmentation and Object detection for multi-object labeling in Aerial Images
A Naseer, A Jalal - ICACS, 2024 - researchgate.net
Aerial imagery is gaining significance across various domains, comprising agriculture,
disaster management, and surveillance. Durin this study, a unique method to tackle the …
disaster management, and surveillance. Durin this study, a unique method to tackle the …