Results 61 to 70 of about 22,365 (196)

Automated Tuberculosis Detection in Chest Radiographs: A Hybrid Deep Learning Framework for Clinical Decision Support

open access: yesApplied AI Letters, Volume 7, Issue 2, June 2026.
A hybrid deep learning framework integrating VGG16, ResNet50, and DenseNet121 is proposed for automated tuberculosis detection from chest X‐ray images. Feature‐level fusion enhances robustness and generalization, achieving 97.4% accuracy across multiple public datasets, supporting reliable clinical decision‐making in resource‐limited healthcare ...
Md. Tahmid Hossain   +2 more
wiley   +1 more source

DepthPark: Smart, Cost‐Effective Vision‐Based Indoor Parking Management System Using Single Monocular Depth Estimation

open access: yesApplied AI Letters, Volume 7, Issue 2, June 2026.
DepthPark is a cost‐effective indoor parking management system that uses monocular cameras, two fixed cameras, and one mobile camera per parking lane, together with deep learning. By combining license plate recognition, parking‐slot classification, and single‐frame depth estimation, the system enables real‐time occupancy monitoring and parking ...
Lakshay Naresh Ramchandani   +1 more
wiley   +1 more source

Transformer‐Based Deep Learning Model for Predicting Recurrence in High‐Grade Glioma

open access: yesCancer Medicine, Volume 15, Issue 5, May 2026.
ABSTRACT Introduction The first year after treatment for high‐grade glioma (HGG) is recognized as the peak interval for recurrence. Accurate prediction of recurrence during this period is critical for timely management and early intervention. This study aimed to develop a fusion model that integrates MRI‐derived features with clinical variables ...
Xin Wang   +4 more
wiley   +1 more source

Sustainable Live Sound Monitoring and Classification System Enabled by a Triboelectric Nanogenerator and Machine Learning Techniques

open access: yesENERGY &ENVIRONMENTAL MATERIALS, Volume 9, Issue 3, May 2026.
A high‐performance Triboelectric Nanogenerator (TENG) acoustic sensor using polyimine/graphite polypropylene (PI/GP) was developed for real‐time, sustainable sound monitoring and classification. The self‐powered device delivers 25.67 μW output power, 92.7% accuracy with MobileNet V1, and powers a wireless transmission circuit, demonstrating dual ...
Majid Haji Bagheri   +8 more
wiley   +1 more source

An Improved MobileNet Based On Modified Attention Mechanism For Image Classification In Autonomus Vehicles [PDF]

open access: yesInternational Journal of Research and Technology in Electrical Industry
Autonomous vehicles use various sensors such as radar, LiDAR and GPS, along with computer vision algorithms, to understand their environment.These sensors gather data that needs to be analyzed for obstacle detection and navigation.
Ali Abdolahi   +3 more
doaj   +1 more source

Optimization and Benchmarking of Lightweight Neural Networks for Efficient Embedded AI Deployment

open access: yesEngineering Reports, Volume 8, Issue 5, May 2026.
A hardware‐aware optimization and benchmarking framework for lightweight neural networks is presented for deployment on heterogeneous embedded platforms including CPU, GPU, TPU, and MCU architectures. Model compression techniques such as quantization, pruning, knowledge distillation, and mixed‐precision computation reduce inference latency, memory ...
Vidapankal Mohammad Fridous   +4 more
wiley   +1 more source

Maize Plant Growth Period Identification based on MobileNet and Design of Growth Control System

open access: yesBioResources
To address the current inefficiencies and subjective nature of manual observation in maize cultivation, with the aim of achieving high efficiency and productivity, this study focused on the DeMaya D3 maize variety.
Qiuyan Liang   +4 more
doaj   +2 more sources

Classification of Alzheimer’s disease in MobileNet

open access: yesJournal of Physics: Conference Series, 2019
Abstract As the aging of Chinese society becomes more and more serious, the number of elderly people has increased dramatically. At the same time, the number of patients with Alzheimer’s disease (AD) has increased. At present, the main diagnostic method for Alzheimer’s disease relies on experienced radiologists to analyse brain ...
Xiaoling Lu, Haifeng Wu, Yu Zeng
openaire   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

open access: yesMicroscopy Research and Technique, Volume 89, Issue 5, Page 791-814, May 2026.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari   +5 more
wiley   +1 more source

Students’ emotion classification system through an ensemble approach

open access: yesJurnal Ilmiah SINERGI
Emotion is a psychological and physiological response to an event or stimulus. Understanding students' emotions helps teachers and educators interact more effectively with students and create a better learning environment. The importance of understanding
Muhajir Muhajir   +3 more
doaj   +1 more source

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