Integration of deep learning into the iot: A survey of techniques and challenges for real-world applications

A Elhanashi, P Dini, S Saponara, Q Zheng - Electronics, 2023 - mdpi.com
The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …

Improved YOLOv5-based real-time road pavement damage detection in road infrastructure management

AA Sami, S Sakib, K Deb, IH Sarker - Algorithms, 2023 - mdpi.com
Deep learning has enabled a straightforward, convenient method of road pavement
infrastructure management that facilitates a secure, cost-effective, and efficient transportation …

YOLO-SSFS: A Method Combining SPD-Conv/STDL/IM-FPN/SIoU for Outdoor Small Target Vehicle Detection

Z Gu, K Zhu, S You - Electronics, 2023 - mdpi.com
As a vital part of autonomous driving, vehicle detection, especially for outdoor small target
vehicles, has attracted great attention from researchers during recent years. To ameliorate …

TeleStroke: real-time stroke detection with federated learning and YOLOv8 on edge devices

A Elhanashi, P Dini, S Saponara, Q Zheng - Journal of Real-Time Image …, 2024 - Springer
Stroke, a life-threatening medical condition, necessitates immediate intervention for optimal
outcomes. Timely diagnosis and treatment play a crucial role in reducing mortality and …

Multi-neus: 3d head portraits from single image with neural implicit functions

E Burkov, R Rakhimov, A Safin, E Burnaev… - IEEE …, 2023 - ieeexplore.ieee.org
We present an approach for the reconstruction of textured 3D meshes of human heads from
one or few views. Since such few-shot reconstruction is underconstrained, it requires prior …

Assessment of deep learning models for cutaneous Leishmania parasite diagnosis using microscopic images

AM Abdelmula, O Mirzaei, E Güler, K Süer - Diagnostics, 2023 - mdpi.com
Cutaneous leishmaniasis (CL) is a common illness that causes skin lesions, principally
ulcerations, on exposed regions of the body. Although neglected tropical diseases (NTDs) …

MixNet-LD: an automated classification system for multiple lung diseases using modified MixNet model

A Ahoor, F Arif, MZ Sajid, I Qureshi, F Abbas, S Jabbar… - Diagnostics, 2023 - mdpi.com
The lungs are critical components of the respiratory system because they allow for the
exchange of oxygen and carbon dioxide within our bodies. However, a variety of conditions …

Identification of Mechanical Parameters in Flexible Drive Systems Using Hybrid Particle Swarm Optimization Based on the Quasi-Newton Method

I Hafez, R Dhaouadi - Algorithms, 2023 - mdpi.com
This study presents hybrid particle swarm optimization with quasi-Newton (HPSO-QN), a
hybrid optimization method for accurately identifying mechanical parameters in two-mass …

Hypergraph Learning-Based Semi-Supervised Multi-View Spectral Clustering

G Yang, Q Li, Y Yun, Y Lei, J You - Electronics, 2023 - mdpi.com
Graph-based semi-supervised multi-view clustering has demonstrated promising
performance and gained significant attention due to its capability to handle sample spaces …

[PDF][PDF] Real and Altered Fingerprint Classification Based on Various Features and Classifiers.

SS Hameed, IT Ahmed… - Computers, Materials & …, 2023 - cdn.techscience.cn
Biometric recognition refers to the identification of individuals through their unique
behavioral features (eg, fingerprint, face, and iris). We need distinguishing characteristics to …