Nonlinear analysis of shell structures using image processing and machine learning حسب M.S. Nashed (16392961)

"…The proposed method in this paper is unique in that it converts the mechanical behaviour of shell structures into images that are then used to train a machine learning algorithm. …"

Nondestructive evaluation of hybrid concrete properties using image processing and machine learning حسب Vagelis Plevris (14158863)

الموضوعات:

A Machine Learning Approach on Chest X-Rays for Pediatric Pneumonia Detection حسب Barakat, Natali Imad

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DoFP-ML: A Machine Learning Approach to Food Quality Monitoring Using a DoFP Polarization Image Sensor حسب Maen Takruri (10873368)

"…These reconstructed images are then fed as input features to the Machine Learning Systems to ultimately estimate the age of the apples. …"

Image and audio caps: automated captioning of background sounds and images using deep learning حسب M. Poongodi (14158869)

Secure IoMT for Disease Prediction Empowered With Transfer Learning in Healthcare 5.0, the Concept and Case Study حسب Tahir Abbas Khan (21632639)

الموضوعات:

Artificial Intelligence for Detecting and Quantifying Fatty Liver in Ultrasound Images: A Systematic Review حسب Fahad Muflih Alshagathrh (18427950)

Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization حسب Tawsifur Rahman (14150523)

الموضوعات:

CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children حسب Jayakanth Kunhoth (14158908)

"…This work proposes various machine learning methods, including transfer learning via fine-tuning, transfer learning via feature extraction, ensembles of deep convolutional neural network (CNN) models, and fusion of CNN features, to develop a preliminary dysgraphia diagnosis system based on handwritten images. …"

Advancing paleontology: a survey on deep learning methodologies in fossil image analysis حسب Mohammed Yaqoob (344668)

DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins حسب Samir Brahim, Belhaouari

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CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children حسب Jayakanth, Kunhoth

"…This work proposes various machine learning methods, including transfer learning via fine-tuning, transfer learning via feature extraction, ensembles of deep convolutional neural network (CNN) models, and fusion of CNN features, to develop a preliminary dysgraphia diagnosis system based on handwritten images. …"
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Detection of central serous retinopathy using deep learning through retinal images حسب Syed Ale Hassan (17785655)

Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection حسب Sulaiman Khan (12585349)

الموضوعات:

Self-Supervised Learning Powered by Synthetic Data From Diffusion Models: Application to X-Ray Images حسب Abdullah Hosseini (22466602)

الموضوعات:

A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net حسب Sania Gul (18272227)

الموضوعات:

Deep Learning Assisted Automated Assessment of Thalassaemia from Haemoglobin Electrophoresis Images حسب Muhammad Salman Khan (17632266)

Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach حسب Arshad Ali Khan (23152516)

الموضوعات:

DiaNet: A Deep Learning Based Architecture to Diagnose Diabetes Using Retinal Images Only حسب Mohammad Tariqul Islam (7854059)

"…Comparing the performance of DiaNet against the existing clinical data-based machine learning models, we conclude that the retinal images contain sufficient information to distinguish the Qatari diabetes cohort from the control group. …"

Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review حسب Normaisharah Mamat (19517623)

"…Through training phases that can label a massive amount of data and connect them up with their corresponding characteristics, deep learning can conclude unlabeled data in image processing. …"