27 results for machine learning
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Journal Article Full text
Alphabet Recognition in Arabic Sign Language: A Machine Learning Perspective
Pattern recognition in human-computer interaction systems has gained significant attention in recent years, particularly in computer vision and machine learning applications. One prominent application is the recognition of hand gestures used in communication with deaf individuals, specifically in…
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Improving Performance Classification in Wireless Body Area Sensor Networks Based on Machine Learning Techniques
…by their superior ability to interact with various data systems. Machine learning methods can analyze the gathered data and uncover previously unknown patterns and information. These approaches can also diagnose and notify critical conditions in patients under monitoring. This study implements two…
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Creating Digital Identity for Arabic National Libraries from Content Analysis of Missions & Vision Statements Using Machine Learning Algorithms.
Creating Digital Identity for Arabic National Libraries from Content Analysis of Missions & Vision Statements Using Machine Learning Algorithms.This study explores the utilization of ML content analysis algorithms to create a robust digital identity for Arabic national libraries by analyzing their…
From your institution’s collections
- Machine learning dan computational intelligenceWidodo Budiharto · 2016 · UNILAK
- Machine learning (konsep dan implementasi)Yaya Heryadi · 2020 · UNILAK
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Book Full text
Cavitation in Dam Spillways with Machine Learning: A Comprehensive Reference Combining Hydraulic Engineering and Artificial Intelligence
…engineering, cavitation physics, computational fluid dynamics (CFD), and machine learning (ML) for real-time cavitation risk prediction in dam spillways. The book consists of 25 chapters organized in two parts. Part I covers dam engineering fundamentals, governing equations, cavitation physics…
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Evaluation of the Applications of using Global free Digital Elevation Models and GNSS-RTK data for Agricultural purposes in Egypt using Machine Learning
…an SD value of 0.62 m and 1.03 m. According to the classification using machine learning algorithms, with an accuracy of 84.7% for block I and 85% for block II, TanDEM-X90 is the best solution.
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Enhancing Surveillance with Machine and Deep Learning-Based Facial Recognition Model: A Proposed Approach for Identification
…work employs two main artificial intelligence approaches: Support Vector Machine achieved an accuracy of 85.33%, demonstrating effective facial recognition compared to the Multilayer Perceptron with 89.0% accuracy. Additionally, Linear Discriminant Analysis achieved the highest classification…
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تكنولوجيا الذكاء الاصطناعى ودورها في مجال تصميم الأثاث.
يتجه العالم الآن إلى استخدام التقنيات الحديثة والتكنولوجيا المتطورة والتي تخدم حاجة الإنسان وتتلاءم مع متطلباته العصرية ووظائفه والتي من أهمها تكنولوجيا الذكاء الاصطناعي، التي رسخت مسؤوليات المُصمم في التميز والإبداع، وتُعد تكنولوجيا الذكاء الاصطناعي أهم مخرجات الثورة الصناعية الرابعة والتي…
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أثر واجهات المستخدم الطبيعية المدعومة بالذكاء الاصطناعي وتأثيرها على تفاعل المستهلك فى الإعلانات الخارجية....
ملخص البحث: Abstractتناول هذا البحث دور واجهات المستخدم الطبيعية (Natural User Interfaces - NUI) المدعومة بتقنيات الذكاء الاصطناعي (AI) في تعزيز تفاعل المستهلك مع الإعلانات الخارجية مثل اللوحات الرقمية الذكية والشاشات التفاعلية.حيث تربط واجهات المستخدم الطبيعية (NUIs) المدعومة بالذكاء الاصطناعي…
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دور تکنولوجيا الذکاء الاصطناعى فى تطوير وتحسين خواص المنتجات وتحقيق عوامل الراحة والأمان
التصميم من أهم المجالات التى تعمل على خدمة وتلبية احتياجات الانسان وتوفير الراحة والأمان له بتصميم المنتجات التى تلبى احتياجاته. وقد حاول الانسان على مر العصور تصميم واختراع شئ يحاکي العقل البشري في طريقة تفکيره لتحقيق مزيد من الراحة والأمان, ومن خلال التطور فى مجال البرمجيات والحاسبات ظهرت تقنية…
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أثر تكنولوجيا الذكاء الاصطناعى على عملية تصميم الأثاث "
ملخص البحث:- أثار ظهور العديد من تصميمات الأثاث التى تم إنتاجها من خلال تكنولوجيا الذكاء الاصطناعي - والتي تعتبر خطوة جديدة في عالم التصميم التى ظهرت مؤخراً - ومدى جودة تلك التصميمات وسرعة إنتاجها التساؤل وأيضا حفيظة المصممين تجاه تلك التكنولوجيا ومدى إمكانية إستخدامها فى التصميم بشكل عام وتصميم…
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المعالجة الحاسوبية لأسلوب الشرط في اللغة العربية: بناء نموذج آلي لاكتشافه وتحليله دلاليًّا Computational Processing of the Conditional Style in Arabic: Building an Automated Model for Its Detection and Semantic Analysis
…a rule-based model grounded in manually crafted linguistic rules, and a machine learning model (SVM) trained on a manually annotated corpus. Results show that the rule-based model excels in detecting standard patterns, while the learning-based model demonstrates better generalization and contextual…
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التأصيل القانوني للمسئولية المدنية للآلات الذكية | Legal Rooting of Civil Liability for Smart Machines
…capabilities that are comparable to humans, in terms of interaction and learning, so how can they be viewed as a traditional thing? Therefore, the European legislator created the theory of the human representative responsible for compensating the damages caused by these machines, and granting those…
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Comparison between statistical modeling: logistic Regression, random forest, support vector machines, and synthetic minority oversampling techniques to predict agricultural production in Iraq
…It compares logistic Regression, random forest, and support vector machine (SVM) model performance in forecasting crop yield from planted area, with the goal to address the data imbalance problem where instances of production overshadow non-productive instances. We use the synthetic minority…
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Book
العدالة التنبؤية ومستقبل القضاء في عصر الذكاء Justice foresight and the future of the judiciary in the age of artificial intelligence
…the legal field. Predictive analysis of judicial decisions using machine learning techniques is one of these promising applications. This technology can help improve the efficiency and effectiveness of the legal system, and it can also assist in making more fair and effective decisions by using…
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Journal Article
A Comparative study of ARIMA and Random Forest Models for Forecasting the EGX30 Index
…is statistically significant. The findings highlight the value of machine-learning techniques in forecasting stock market indices in emerging markets while reaffirming the usefulness of ARIMA as a robust linear benchmark.
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An Automatic Student Attendance System Based on the Internet of Things
connected. Online machine learning is developing day by day. Many systems have been completely modified thanks to this development to help achieve more correct results. The Internet of Things allows us to develop a system that is able to operate without human intervention. In other words, the…
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Journal Article
Smart agriculture in Egypt's New Delta Area Using the CROPWAT application
…irrigation practices, and CROPWAT applications for agriculture and machine learning, and a study of climate change and its impact on crops in the New Delta.
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Spatial analysis of smart tourism contrasts A comparison between tourist attractions in Cairo and Dubai
…The results reveal how Cairo and Dubai leverage technologies such as machine learning, the Internet of Things, and big data analytics to create an integrated and innovative tourism environment. The research highlights best practices and provides practical insights for policymakers, resource…
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Journal Article
Intelligence in cinema and its adaptation to heritage topics
…Filmmakers should look for ways to integrate technologies such as machine learning and artificial intelligence, and the dramatic acceleration in the development of AI experiences and capabilities promises In the development of artificial intelligence experiences and its capabilities, with a real…
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Predicting Breast Cancer Survivability
…tools. Precisely, we used three popular data mining methods: two from machine learning (artificial neural network and decision trees) and one from statistics (logistic regression), and aimed to choose the best model through the efficiency of each model and with the most effective variables to these…