A Short Review on Supervised Machine Learning and Deep Learning Techniques in Computer Vision
AA Nafea, SA Alameri, RR Majeed… - … Journal of Machine …, 2024 - mesopotamian.press
In last years, computer vision has shown important advances, mainly using the application of
supervised machine learning (ML) and deep learning (DL) techniques. The objective of this …
supervised machine learning (ML) and deep learning (DL) techniques. The objective of this …
A Brief Review of Big Data in Healthcare: Challenges and Issues, Recent Developments, and Future Directions
Big data is improving the healthcare industry and creating opportunities for improved patient
care, personalized medicine, and advanced research. This brief review article aims to …
care, personalized medicine, and advanced research. This brief review article aims to …
Artificial Intelligence Predictions in Cyber Security: Analysis and Early Detection of Cyber Attacks
MA Khalaf, A Steiti - Babylonian Journal of Machine Learning, 2024 - mesopotamian.press
The landscape of cyber-attacks has changed due, to the upward push of digitalization and
interconnected structures. This necessitates the need for revolutionary techniques to emerge …
interconnected structures. This necessitates the need for revolutionary techniques to emerge …
[PDF][PDF] Automated blood cancer detection models based on EfficientNet-B3 architecture and transfer learning
In blood smear images, there are difficulties in diagnosing blood cancer diseases like
leukemia and lymphoma because of their various forms that appear in the human body. In …
leukemia and lymphoma because of their various forms that appear in the human body. In …
Lung Cancer Detection Using Machine Learning and Deep Learning Models
Technology and artificial intelligence play a significant role in improving healthcare and
enable tasks to be automated. In addition, the diseases can be better understood and …
enable tasks to be automated. In addition, the diseases can be better understood and …
A Birds Species Detection Utilizing an Effective Hybrid Model
SA Rafa, ZM Al-qfail, AA Nafea… - … Multi-Conference on …, 2024 - ieeexplore.ieee.org
The aim of this study is to improve the performance of detection Birds Species by proposed a
hybrid model using a combination of MobileNetV2 for feature extraction, an Autoencoder for …
hybrid model using a combination of MobileNetV2 for feature extraction, an Autoencoder for …
Enhancing Fish Disease Classification in Bangladeshi Aquaculture through Transfer Learning, and LIME Interpretability Techniques
NNI Prova - 2024 4th International Conference on Sustainable …, 2024 - ieeexplore.ieee.org
Fish disease classification is an essential component of aquaculture management and is
essential to preserving the sustainability and health of fish populations. Research on fish …
essential to preserving the sustainability and health of fish populations. Research on fish …