Biosensor-based multimodal deep human locomotion decoding via internet of healthcare things
M Javeed, M Abdelhaq, A Algarni, A Jalal - Micromachines, 2023 - mdpi.com
Multiple Internet of Healthcare Things (IoHT)-based devices have been utilized as sensing
methodologies for human locomotion decoding to aid in applications related to e-healthcare …
methodologies for human locomotion decoding to aid in applications related to e-healthcare …
An intelligent real-time object detection system on drones
Drones have been widely used in everyday life and they can help deal with various tasks,
including photography, searching, and surveillance. Nonetheless, it is difficult for drones to …
including photography, searching, and surveillance. Nonetheless, it is difficult for drones to …
Pose Detection and Recurrent Neural Networks for Monitoring Littering Violations
NL Husni, O Felia, Abdurrahman, AS Handayani… - Eng, 2023 - mdpi.com
Infrastructure development requires various considerations to maintain its continuity. Some
public facilities cannot survive due to human indifference and irresponsible actions …
public facilities cannot survive due to human indifference and irresponsible actions …
[HTML][HTML] Ontology-Based Deep Learning Model for Object Detection and Image Classification in Smart City Concepts
Object detection in remotely sensed (RS) satellite imagery has gained significance in smart
city concepts, which include urban planning, disaster management, and environmental …
city concepts, which include urban planning, disaster management, and environmental …
The Effect of Batch Size and Epoch on Performance of ShuffleNet-CNN Architecture for Vegetation Density Classification
Land cover is an important factor in geographic analysis, ranging from physical geography
studies, approaches to sustainable planning to environmental analysis. Vegetation analysis …
studies, approaches to sustainable planning to environmental analysis. Vegetation analysis …
Optimized Deep Convolutional Neural Network for Autism Spectrum Disorder Detection Using Structural MRI and DTPSO
K Sravani, P Kuppusamy - IEEE Access, 2024 - ieeexplore.ieee.org
Detection of Autism Spectrum Disorders (ASD) remains challenging due to complex
psychiatric symptoms and limited neurobiological evidence. To address this, an automatic …
psychiatric symptoms and limited neurobiological evidence. To address this, an automatic …
Pendeteksi Masker dan Monitoring Suhu menggunakan Webcam dan Sensor Suhu GY-906 untuk Pencegahan Penularan Covid-19
Covid-19 is a pandemic that occurs in various parts of the world and is a form of public
concern. Coronavirus Disease (Covid-19) is a mutation of the Severe Acute Respiratory …
concern. Coronavirus Disease (Covid-19) is a mutation of the Severe Acute Respiratory …
Pose Detection and Recurrent Neural Networks for Monitoring Littering Violations
LH Nyayu, O Felia, AS Handayani, R Pasarella… - Eng, 2023 - search.proquest.com
Infrastructure development requires various considerations to maintain its continuity. Some
public facilities cannot survive due to human indifference and irresponsible actions …
public facilities cannot survive due to human indifference and irresponsible actions …
Spatial-Temporal Information-Based Littering Action Detection in Natural Environment
CV Loc, LTK Thoa, TX Viet, TH Viet… - … Conference on Intelligent …, 2023 - Springer
A significant environmental problem in Vietnam and around the world is litter and garbage
left on the street. The illegal dumping of garbage can have negative consequences on the …
left on the street. The illegal dumping of garbage can have negative consequences on the …
Reducing the Littering Activity using Artificial Intelligence Technology
Littering has become a major concern for the preservation of the public health and
aesthetics of cities. The aim of this research is to show that an AI-based device can be one of …
aesthetics of cities. The aim of this research is to show that an AI-based device can be one of …