Integration of deep learning into the iot: A survey of techniques and challenges for real-world applications
The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …
Improved YOLOv5-based real-time road pavement damage detection in road infrastructure management
Deep learning has enabled a straightforward, convenient method of road pavement
infrastructure management that facilitates a secure, cost-effective, and efficient transportation …
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 …
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
Stroke, a life-threatening medical condition, necessitates immediate intervention for optimal
outcomes. Timely diagnosis and treatment play a crucial role in reducing mortality and …
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
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 …
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
Cutaneous leishmaniasis (CL) is a common illness that causes skin lesions, principally
ulcerations, on exposed regions of the body. Although neglected tropical diseases (NTDs) …
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
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 …
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
This study presents hybrid particle swarm optimization with quasi-Newton (HPSO-QN), a
hybrid optimization method for accurately identifying mechanical parameters in two-mass …
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 …
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 …
behavioral features (eg, fingerprint, face, and iris). We need distinguishing characteristics to …