Role of deep learning in brain tumor detection and classification (2015 to 2020): A review

M Nazir, S Shakil, K Khurshid - Computerized medical imaging and …, 2021 - Elsevier
During the last decade, computer vision and machine learning have revolutionized the world
in every way possible. Deep Learning is a sub field of machine learning that has shown …

Brain tumor detection and classification using intelligence techniques: an overview

S Solanki, UP Singh, SS Chouhan, S Jain - IEEE Access, 2023 - ieeexplore.ieee.org
A tumor is carried on by rapid and uncontrolled cell growth in the brain. If it is not treated in
the initial phases, it could prove fatal. Despite numerous significant efforts and encouraging …

[HTML][HTML] Smart cities: Fusion-based intelligent traffic congestion control system for vehicular networks using machine learning techniques

M Saleem, S Abbas, TM Ghazal, MA Khan… - Egyptian Informatics …, 2022 - Elsevier
Smart cities have been developed over the past decade, and reducing traffic congestion has
been the top concern in smart city development. Short delays in communication between …

Fusion-based supply chain collaboration using machine learning techniques

TM Ghazal, HM Alzoubi - … & Soft Computing, 2022 - research.skylineuniversity.ac.ae
Supply Chain Collaboration is the network of various entities that work cohesively to make
up the entire process. The supply chain organizations' success is dependent on integration …

Hep-pred: hepatitis c staging prediction using fine gaussian svm

TM Ghazal - Computers, Materials & Continua, 2021 - research.skylineuniversity.ac.ae
Hepatitis C is a contagious blood-borne infection, and it is mostly asymptomatic during the
initial stages. Therefore, it is difficult to diagnose and treat patients in the early stages of …

Intelligent model for brain tumor identification using deep learning

AH Khan, S Abbas, MA Khan, U Farooq… - … Intelligence and Soft …, 2022 - Wiley Online Library
Brain tumors can be a major cause of psychiatric complications such as depression and
panic attacks. Quick and timely recognition of a brain tumor is more effective in tumor …

[HTML][HTML] Blockchain-based IoT devices in supply chain management: a systematic literature review

M Hussain, W Javed, O Hakeem, A Yousafzai… - Sustainability, 2021 - mdpi.com
Through recent progress, the forms of modern supply chains have evolved into complex
networks. The supply chain management systems face a variety of challenges. These …

[HTML][HTML] Brain tumor classification using meta-heuristic optimized convolutional neural networks

SZ Kurdi, MH Ali, MM Jaber, T Saba, A Rehman… - Journal of Personalized …, 2023 - mdpi.com
The field of medical image processing plays a significant role in brain tumor classification.
The survival rate of patients can be increased by diagnosing the tumor at an early stage …

[HTML][HTML] A fusion-based machine learning approach for the prediction of the onset of diabetes

MW Nadeem, HG Goh, V Ponnusamy, I Andonovic… - Healthcare, 2021 - mdpi.com
A growing portfolio of research has been reported on the use of machine learning-based
architectures and models in the domain of healthcare. The development of data-driven …

[HTML][HTML] Deep learning for diabetic retinopathy analysis: a review, research challenges, and future directions

MW Nadeem, HG Goh, M Hussain, SY Liew… - Sensors, 2022 - mdpi.com
Deep learning (DL) enables the creation of computational models comprising multiple
processing layers that learn data representations at multiple levels of abstraction. In the …