Thyroid disease is a common disease affecting millions worldwide. Early diagnosis and treatment of thyroid disease can help prevent more serious complications and improve long-term health outcomes. However, thyroid disease diagnosis can be challenging due to its variable symptoms and limited diagnostic tests. By processing enormous amounts of data and seeing trends that may not be immediately evident to human doctors, Machine Learning (ML) algorithms may be capable of increasing the accuracy with which thyroid disease is diagnosed. This study seeks to discover the most recent ML-based and data-driven developments and strategies for diagnosing thyroid disease while considering the challenges associated with imbalanced data in thyroid dise

Self-driving automobiles are prominent in science and technology, which affect social and economic development. Deep learning (DL) is the most common area of study in artificial intelligence (AI). In recent years, deep learning-based solutions have been presented in the field of self-driving cars and have achieved outstanding results. Different studies investigated a variety of significant technologies for autonomous vehicles, including car navigation systems, path planning, environmental perception, as well as car control. End-to-end learning control directly converts sensory data into control commands in autonomous driving. This research aims to identify the most accurate pre-trained Deep Neural Network (DNN) for predicting the steerin

 An oil spill is a leakage of pipelines, vessels, oil rigs, or tankers that leads to the release of petroleum products into the marine environment or on land that happened naturally or due to human action, which resulted in severe damages and financial loss. Satellite imagery is one of the powerful tools currently utilized for capturing and getting vital information from the Earth's surface. But the complexity and the vast amount of data make it challenging and time-consuming for humans to process. However, with the advancement of deep learning techniques, the processes are now computerized for finding vital information using real-time satellite images. This paper applied three deep-learning algorithms for satellite image classification

To maintain a sustained competitive position in the contemporary environment of  knowledge  economy,  organizations  as an open social systems must have an ability to learn and know  how to adapt to rapid changes  in a proper fashion so that organizational objectives will be achieved efficiently and effectively.  A multilevel approach is adopted proposing that organizational learning suffers from the lack of interest about the strategic competitive performance of the organization. This remains implicit almost in all models of organizational learning and there is little focus on how learning organizations achieve sustainable competitive advantage . A dynamic model that captures t

لقد مثلت عملية التحول من النظام الشمولي الى مشروع اقامة نظام جديد ومغاير نقلة نوعية شهده المجتمع العراقي بعد 9/4/ 2003 القت بظلالها على مختلف الاصعدة السياسية والاقتصادية والاجتماعية، ولعل من بين ابرز تلك التحولات ذلك الذي تبلور على حول مفهوم الهوية الوطنية واعادة تشكيلها من خلال صياغة جديدة لمفهوم المواطنة الذي يفترض ان تكون القاعدة الراسخة التي يتأسس عليها المشروع الوطني الجديد الرامي الى إقامة او إعادة تأسي

لقد مثلت عملية التحول من النظام الشمولي الى مشروع اقامة نظام جديد ومغاير نقلة نوعية شهده المجتمع العراقي بعد 9/4/ 2003 القت بظلالها على مختلف الاصعدة السياسية والاقتصادية والاجتماعية، ولعل من بين ابرز تلك التحولات ذلك الذي تبلور على حول مفهوم الهوية الوطنية واعادة تشكيلها من خلال صياغة جديدة لمفهوم المواطنة الذي يفترض ان تكون القاعدة الراسخة التي يتأسس عليها المشروع الوطني الجديد الرامي الى إقامة او إعادة تأسي

That is feared we frequent urgent calls from Islamic scholars and leaders of the Muslim faithful to their religion and nation to a culturally، economically، politically and militarily Muslim communities، in response to the call of the divine stones in the sit-rope of God and taking the greatest causes of strength and stamina، pride and empowerment، and did not bear fruit this repeated calls only sham gatherings and links formality not have the effect of rewarding challenges، and it was one of the greatest causes of failure that impact the absence of a proper understanding of the basis of the Islamic Alliance، and lack of consensus on the Thoroughbred clear vision of Islamic unity

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This research deals with the study of pathways in terms of the negative effect in proving them
And the fact of this influence among fundamentalists.
The research consists of two subjects and a conclusion.
In the first section, I learned about the terms in the title of the research:
Denial and pathology.
In the second section I reviewed the pathways of illness that affect exile in it
Five: the nodding, the fitting, the sounding, the division, the rotation, the inference
A description of the absence of evidence of non-reference to it. And I figured out how
Negation in it by striking some illustrative examples as fruit
Arising from the effect of negation in proving those routes.
As a result of this research, a

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it is studied with the ancient and modern Showing the occurrence of this term between both sides Then we clarified the phoneme explanation for this phenomenon