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 developing an in-depth understanding of the world of vision. Variations …

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 …

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 …

Wireless body area sensor networks based human activity recognition using deep learning

E El-Adawi, E Essa, M Handosa, S Elmougy - Scientific Reports, 2024 - nature.com
In the healthcare sector, the health status and biological, and physical activity of the patient
are monitored among different sensors that collect the required information about these …

Efficient Vehicle Detection and Tracking using Blob Detection and Kernelized Filter

I Nosheen, A Naseer, A Jalal - 2024 5th International …, 2024 - ieeexplore.ieee.org
Smart conveyance techniques are crucial in modern society, enabling efficient traffic
management and ensuring public safety. Therefore, this paper proposes a novel approach …

[PDF][PDF] Telemonitoring of daily activities based on multi-sensors data fusion

M Batool, J Ahmad - IBCAST, 2023 - researchgate.net
Multi-sensor data fusion has played a crucial role in a wide range of daily life activities
including smart homes, sports, healthcare, and so on. This work has presented a …

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

A Naseer, J Ahmad - IBCAST, 2023 - researchgate.net
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 …

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 …

Dynamic Adoptive Gaussian Mixture Model for Multi-Object Detection Over Natural Scenes

MW Ahmed, A Jalal - 2024 5th International Conference on …, 2024 - ieeexplore.ieee.org
Recent strides in visionary technologies have profoundly impacted the domain of multi-
object recognition, serving as a linchpin in transformative applications such as augmented …

A multimodal IoT-based locomotion classification system using features engineering and Recursive neural network

M Javeed, NA Mudawi, BI Alabduallah, A Jalal, W Kim - Sensors, 2023 - mdpi.com
Locomotion prediction for human welfare has gained tremendous interest in the past few
years. Multimodal locomotion prediction is composed of small activities of daily living and an …