Deep ontology-based human locomotor activity recognition system via multisensory devices
Recognition of human locomotor activities is crucial for monitoring the motion patterns.
Current studies for human locomotor activities recognition focused on detecting basic motion …
Current studies for human locomotor activities recognition focused on detecting basic motion …
Intelligent ADL Recognition via IoT-Based Multimodal Deep Learning Framework
Smart home monitoring systems via internet of things (IoT) are required for taking care of
elders at home. They provide the flexibility of monitoring elders remotely for their families …
elders at home. They provide the flexibility of monitoring elders remotely for their families …
An intelligent mangosteen grading system based on an improved convolutional neural network
Y Zhang, AS Mohd Khairuddin, JH Chuah… - Signal, Image and Video …, 2024 - Springer
Efficient grading of mangosteens is vital in ensuring timely post-harvest storage and
preservation for maximizing profits. Currently, manual grading is susceptible to subjective …
preservation for maximizing profits. Currently, manual grading is susceptible to subjective …
A Robust Fraud Detection System using Deep Belief Network and Restricted Boltzmann Machines
M Javeed - 2024 7th International Conference on Signal …, 2024 - ieeexplore.ieee.org
Online security has become popular as it delivers enriched monitoring services for digital
world without obstructing the usage of online services. Several techniques have been …
world without obstructing the usage of online services. Several techniques have been …
[PDF][PDF] Intelligent Fine-Grained Daily Living Locomotion Prediction Based on Skeleton Modeling and CNN.
Activities of daily living are important for human locomotion prediction. Humans perform
several activities while moving from one place to another. Some of these activities are …
several activities while moving from one place to another. Some of these activities are …