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PUF Modeling Attacks Using Deep Learning and Machine Learning Algorithms
The rapid advancement of technology has led to the pervasive presence of electronic devices in our lives, enabling convenience and connectivity. Cryptography offers solutions, but vulnerabilities persist due to physical attacks like malware.
Nelakudite Saadvikaa +4 more
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Artificial Intelligence Technology [PDF]
This open access book aims to give our readers a basic outline of today’s research and technology developments on artificial intelligence (AI), help them to have a general understanding of this trend, and familiarize them with the current research ...
Huawei Technologies Co., Ltd.
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Artificial intelligence in teaching and learning
The recent release of ChatGPT, a flexible and accessible form of artificial intelligence, raises a multitude of questions for those of us interested in interactive learning environments.
Rospigliosi, A.
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Feature Extraction of Ophthalmic Images Using Deep Learning and Machine Learning Algorithms
Deep learning and Machine Learning Algorithms has become the most popular method for analyzing and extracting features especially in medical images. And feature extraction has made this task much easier.
Tunuri Sundeep +4 more
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Textual Feature Extraction Using Ant Colony Optimization for Hate Speech Classification
Feature selection and feature extraction have always been of utmost importance owing to their capability to remove redundant and irrelevant features, reduce the vector space size, control the computational time, and improve performance for more accurate ...
Shilpa Gite +6 more
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Breast tumor detection in ultrasound images using artificial intelligence
Leveraging artificial intelligence (AI) for categorizing breast tumors as malignant or benign from breast ultrasound images can provide an effective and relatively low-cost method for the diagnosis of breast cancer.
Subasi, Abdulhamit, Modi, Omkar
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Machine learning & artificial intelligence in the quantum domain: a review of recent progress
Quantum information technologies, on the one hand, and intelligent learning systems, on the other, are both emergent technologies that are likely to have a transformative impact on our society in the future.
V. Dunjko, H. Briegel
semanticscholar +1 more source
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis [PDF]
With an increase in deep learning-based methods, the call for explainability of such methods grows, especially in high-stakes decision making areas such as medical image analysis.
Bas H. M. van der Velden +3 more
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In procedural-based medicine, the technical ability can be a critical determinant of patient outcomes. Psychomotor performance occurs in real-time, hence a continuous assessment is necessary to provide action-oriented feedback and error avoidance ...
Recai Yilmaz +11 more
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Applications of Artificial Intelligence in Thrombocytopenia [PDF]
Thrombocytopenia is a medical condition where blood platelet count drops very low. This drop in platelet count can be attributed to many causes including medication, sepsis, viral infections, and autoimmunity. Clinically, the presence of thrombocytopenia
Al-Khabori, Murtadha +21 more
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