16 results for machine learning
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Journal Article
APPLICATION OF MACHINE LEARNING ALGORITHMS IN PREDICTIVE LEGAL ANALYTICS
Machine learning (ML) is a branch of artificial intelligence that enables computers to learn from data and make predictions based on patterns and statistics. ML applied to various domains, such as natural language processing, computer vision, and recommender systems. One of the emerging…
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Journal Article
Quantum Machine Learning for Anomaly Detection in Cyber Security Audits
Quantum Machine Learning (QML) is emerging as a transformative technology in cybersecurity, particularly in anomaly detection for cyber security audits. Traditional machine learning models are effective but face scalability and efficiency limitations as cyber threats grow more sophisticated. QML…
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Journal Article
Classifying Student Performance: An In-Depth Analysis Using Machine Learning Algorithms
…and weaknesses, aiding in the improvement of examination outcomes. Machine learning offers a powerful tool for predicting student performance by utilizing demographic and academic data. We can forecast the results and determine which classification algorithm has the highest accuracy from algorithms…
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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Journal Article
Revolutionizing Healthcare: Unleashing the Power of Machine Learning for Patient-Centric Solutions
The integration of Machine Learning (ML) in the healthcare sector signifies a ground breaking advancement with far-reaching implications. ML’s importance in healthcare cannot be overstated, as it brings forth a paradigm shift that transcends traditional models, offering innovative solutions…
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Comparative Analysis of Regression Models for Predicting Student Satisfaction in AI-Assisted Learning
…evaluating the level of student satisfaction towards AI assisted learning has emerged as an important area of research. For the study of this paper a dataset is used. The title of the dataset is “AI Assistant Usage in Student Life.” This dataset has the record of 10,000 students which is showing…
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Journal Article
IoT Makers: A Collaborative Learning Experience with TinyML
Traditional teaching methods often fail to fully engage students in the field of IoT, particularly when it comes to applying machine learning at the edge. This paper presents an innovative pedagogical approach titled “IoT Makers,” aimed at MSc Artificial Intelligence and Machine Learning students…
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Journal Article
Save Life With AI
In the present time accidents gradually increasing in India and also the deaths. Some death occurs at the spot and some after the accidents because no single facility like Medical Aid arrived at the accident spot on time. So, here we introduce an AI loaded device which identify the accident and…
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Journal Article
Unleashing the Potential of Artificial Intelligence (AI) Tools in Phytogeographical studies
…intelligence in phytogeography focuses on how AI techniques such as machine learning, remote sensing, and spatial analysis are being used to analyse large-scale plant distribution data. By leveraging AI, researchers can gain valuable insights from vast and complex datasets, identify patterns and…
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Journal Article
The Role and Application of Matrices in Artificial Intelligence: Foundations, Methods, and Advancements
Matrices are foundational to artificial intelligence (AI), serving as critical tools for data representation, manipulation, and transformation across various applications. From machine learning algorithms to neural network architectures, matrix theory supports essential computational processes…
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Journal Article
COLLABORATIVE AUDITING IN OSMOTIC COMPUTING ENVIRONMENTS: OPPORTUNITIES AND CHALLENGES
…The paper also investigates the role of artificial intelligence (AI) and machine learning (ML) in enhancing collaborative auditing capabilities. It explores how these technologies can facilitate anomaly detection, predictive analysis, and automated risk assessment in real-time. The study delves…
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Journal Article
Embracing the 4th Industrial Revolution (4IR): Education 4.0 Trends and Future Perspectives
…the digital age. Powered by technologies such as artificial intelligence, machine learning, virtual reality, and big data analytics, Education 4.0 offers personalized, adaptive, and immersive learning experiences that cater to the diverse needs of modern learners. This paper delves into the key…
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Journal Article
AI in Auditing: A Comprehensive Review of Applications, Benefits and Challenges
…and time-consuming endeavor. The emergence of AI technologies, such as machine learning, natural language processing, and data analytics, has revolutionized the way audits are conducted. AI-powered auditing tools offer advanced capabilities for data analysis, pattern recognition, anomaly detection…
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Journal Article
AI-Based Risk Assessments in Forensic Auditing: Benefits, Challenges and Future Implications
…implications. AI-based risk assessment leverages advanced algorithms and machine learning models to analyse large volumes of financial data, identify patterns, anomalies, and potential red flags indicative of fraudulent activities. By automating repetitive tasks such as data collection…
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Journal Article
Mathematical Approaches for Modelling Flow and Transport Porous Media: Enhancing Groundwater Resource Development
…porous media models. Additionally, the integration of novel tools such as machine learning and inverse modelling is highlighted as a means to improve parameter estimation and account for system heterogeneity. By addressing the limitations of traditional models and incorporating real-world…
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Journal Article
Application Of Fuzzy-Based Data Mining Techniques in Breast Cancer Diagnosis and Prognosis
…specificity, precision, and F1-score are compared to the traditional machine learning models: Artificial Neural Networks, Support Vector Machines, and Decision Trees. These findings indicate that the fuzzy-based classifier performs better than traditional models and the accuracy of the fuzzy-based…
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Journal Article
Revolutionizing Organizations by Technological Innovations in HR
…engagement, etc. Emerging technologies like Artificial Intelligence (AI), Machine Learning (ML) and Robotics are useful for, business intelligence, people analytics, and automation in the HR functions. Thus, in addition to performing basic functions, technology drives value from talent. The…