Results 81 to 90 of about 22,365 (196)

Development of a Solid Waste Collector Robot for Cleaning in Public Areas

Ingeniería e Investigación
Solid waste management reduces pollution, protects public health, conserves ecosystems, and promotes recycling and circular economies in a sustainable manner.
Dick Díaz-Delgado, Alexander Eduardo Inga Alva   +1 more
doaj   +1 more source

Enhancing communication with elderly and stroke patients based on sign-gesture translation via audio-visual avatars

Open Engineering
Communication barrier faced by elderly individuals and stroke patients with speech impairments pose significant challenges in daily interactions. While sign language serves as a vital means of communication, those struggling to speak may encounter ...
Saleh Kawther Thabt, Karim Abdulamir Abdullah   +1 more
doaj   +1 more source

IA-MobileNet: A formally robust MobileNet for input intensity perturbations [PDF]

AIP Advances
Deep neural networks are sensitive to input perturbations, such as lighting changes, undermining reliability in real-world applications. This paper introduces interval-analysis enhanced MobileNet, which is a robust image classification framework that ...
Navid Razmjooy
doaj   +1 more source

Analisis Perbandingan Klasifikasi Citra Genus Panthera dengan Pendekatan Deep learning Model MobileNet

Jurnal Informatika dan Rekayasa Perangkat Lunak
Wildlife conservation is increasingly becoming a top priority as several species in the Panthera genus have experienced significant declines in their populations since the 1970s, due to illegal hunting activities, loss of natural habitat, and reduced ...
Waeisul Bismi, Deny Novianti, Muhammad Qomaruddin   +2 more
doaj  

Population Statistics Algorithm Based on MobileNet

Journal of Physics: Conference Series, 2019
Abstract In today’s society, intelligent video surveillance plays an important role in social security, traffic scheduling, national security and other fields. One of the research hotspots is people statistics based on image processing, which has strategic significance in practical applications. Aimed at the problem that the low accuracy
Xiaoqin Feng, Rong Xie, Junyang Sheng, Shuo Zhang   +3 more
openaire   +1 more source

Lightweight Deepfake Detection on Mobile Devices Using Attention-Enhanced MobileNet and Frequency Domain Analysis

Journal of Technology Informatics and Engineering
The rapid advancement of deepfake technology has raised significant concerns regarding misinformation, privacy breaches, and digital fraud. Existing deepfake detection models, particularly those based on deep learning, often require high computational ...
Mohammad Amen, Mohammed Lauwl Ranam
doaj   +1 more source

A Hybrid Deep Feature Fusion and CWINCA-Based Classification Framework for Thermal Fault Diagnosis in Photovoltaic Panels

Firat University Journal of Experimental and Computational Engineering
Accurate and timely identification of faults in photovoltaic (PV) panels is critical for maintaining system efficiency and ensuring safe operation. In this study, a hybrid classification framework is proposed that integrates deep feature fusion with an ...
Burak Tasci
doaj   +1 more source

Detection system of miners' wearable security equipments based on SSD-MobileNet

Gong-kuang zidonghua, 2019
In view of problems of supervision difficulties caused by complexity of mine personnel flow, and that security equipments cannot be effectively worn due to weak safety awareness of underground personnel, a detection system of miners' wearable security ...
ZHANG Chuntang, GUAN Licong
doaj   +1 more source

Web-Based Deep Learning Approach to Identifying AI-Generated Anime Illustration

JOIV: International Journal on Informatics Visualization
As technology advances rapidly in artificial intelligence, the dominance of generative artificial intelligence (AI) images becomes increasingly evident in art, design, and the creative industry.
Monika Evelin Johan, Richard Faustine Wong, Gempar Bambang Godata, Westley Wijaya, Eben Haezer   +4 more
doaj   +1 more source

Artificial intelligence-driven glaucoma screening in ophthalmology: The GlaucoNet deep learning framework

African Vision and Eye Health
Background: Glaucoma is a significant cause of permanent blindness in the world, and it is usually unnoticed at its initial stages. Deep learning allows scaling flexible quality screening of retinal fundus images to detect and implement effective ...
Minakshi Kumar, Deepak Dembla, Vishal Goyal   +2 more
doaj   +1 more source