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Toplam kayıt 5, listelenen: 1-5
Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images
(Elsevier Ltd, 2024)
Rapid treatment protocols such as X-ray and CT scans have played a crucial role in the diagnosis of tuberculosis (TB infection). Automatic detection of CXR is required to speed up patient treatment with accuracy. Consequently, ...
A new modern scheme for solving fractal–fractional differential equations based on deep feedforward neural network with multiple hidden layer
(Elsevier B.V., 2024)
The recent development of knowledge in fractional calculus introduced an advanced superior operator known as fractal–fractional derivative (FFD). This operator combines memory effect and self-similar property that give ...
Fractional Dynamics of Chronic Lymphocytic Leukemia with the Effect of Chemoimmunotherapy Treatment
(World Scientific, 2024)
Currently, immunotherapy is seen to be the most effective cancer treatment. This is especially true while treating chronic lymphocytic leukemia (CLL), a slow-growing B-lymphocyte neoplasm that gradually compromises the ...
An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach
(Elsevier, 2023)
Wireless Sensor Networks (WSNs) are often used for critical applications where trust and security are of paramount importance. Trust evaluation is one of the key mechanisms to ensure the security and reliability of WSNs. ...
Ion-Acoustic Solitons in Magnetized Plasma Under Weak Relativistic Effects on the Electrons
(Springer, 2023)
Investigating ion-acoustic disturbances in a magnetized plasma, consisting of relativistic electrons and non-thermal ions, entails a comprehensive study into the nonlinear wave structure. By condensing the fundamental set ...