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Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
[PDF][PDF] Covid-19 detection using artificial intelligence
Background: X-rays imaging is one of the possible method for detecting COVID19. Our
research aimed to construct a model using deep learning for detecting COVID-19 …
research aimed to construct a model using deep learning for detecting COVID-19 …
Detection of brain tumor using deep learning
HR Almadhoun, SS Abu-Naser - 2022 - philpapers.org
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of
intelligent machines or software that work and reacts like humans, some of the computer …
intelligent machines or software that work and reacts like humans, some of the computer …
Machine Learning in liver disease diagnosis: Current progress and future opportunities
N Tanwar, KF Rahman - IOP conference series: materials …, 2021 - iopscience.iop.org
There has been a rapid growth in the use of automatic decision-making systems and tools in
the medical domain. By using the concepts of big data, deep learning, and machine …
the medical domain. By using the concepts of big data, deep learning, and machine …
Tic-Tac-Toe Learning Using Artificial Neural Networks
MA Dalffa, BS Abu-Nasser, SS Abu-Naser - 2019 - philpapers.org
Throughout this research, imposing the training of an Artificial Neural Network (ANN) to play
tic-tac-toe bored game, by training the ANN to play the tic-tac-toe logic using the set of …
tic-tac-toe bored game, by training the ANN to play the tic-tac-toe logic using the set of …
Fraudulent financial transactions detection using machine learning
RYR Abdaljawad, T Obaid… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
there is a critical need to identify transactional risks in financial institutions for the purpose of
improving customer experience and minimizing financial loss. This current study compares …
improving customer experience and minimizing financial loss. This current study compares …
Classification of Alzheimer's disease using convolutional neural networks
Brain-related diseases are among the most difficult diseases due to their sensitivity, the
difficulty of performing operations, and their high costs. In contrast, the operation is not …
difficulty of performing operations, and their high costs. In contrast, the operation is not …
Classification of real and fake human faces using deep learning
FM Salman, SS Abu-Naser - 2022 - philpapers.org
Artificial intelligence (AI), deep learning, machine learning and neural networks represent
extremely exciting and powerful machine learning-based techniques used to solve many …
extremely exciting and powerful machine learning-based techniques used to solve many …
Classification of anomalies in gastrointestinal tract using deep learning
IM Dheir, SS Abu-Naser - 2022 - philpapers.org
Automatic detection of diseases and anatomical landmarks in medical images by the use of
computers is important and considered a challenging process that could help medical …
computers is important and considered a challenging process that could help medical …
Books' rating prediction using just neural network
AM Maghari, IA Al-Najjar, SJ Al-Laqtah, SS Abu-Naser - 2020 - philpapers.org
The aim behind analyzing the Goodreads dataset is to get a fair idea about the relationships
between the multiple attributes a book might have, such as: the aggregate rating of each …
between the multiple attributes a book might have, such as: the aggregate rating of each …