Abstract: Feedback active noise control (ANC) systems are effective in reducing predictable noise, e.g. periodic, narrowband and colored noise. There are still few studies on the theoretical analysis ...
Abstract: This paper presents a comprehensive performance analysis of various machine learning algorithms for the prediction of thyroid disease, considering both binary and multi-class classification ...
Abstract: Network coding algorithms have been proposed as a unique technique to improve the best carrier (quality of service) of cooperative Wi-Fi networks. Those algorithms leverage community coding ...
Abstract: Heart disease is one of the top priority health issues in the world, and early detection is paramount to enhancing the efficacy of treatment and reducing complications. Recently, machine ...
Discover how agentic AI transforms cloud security from reactive to real-time protection. Zero Trust + AI: Grow Your Business and Support Workforce Productivity Legacy security solutions don't protect ...
Abstract: Cryptographic techniques are reviewed in this literature review, with particular attention paid to their applicability, importance, contributions, and field strengths. These algorithms ...
Abstract: In an era where cyber attacks are getting increasingly complex, the incorporation of machine learning (ML) algorithms into cybersecurity processes has emerged as a crucial technique for ...
Abstract: Breast cancer remains a significant health challenge globally, driving the need for accurate and efficient diagnostic tools. Machine learning (ML) algorithms have gained prominence in ...
Includes notes and Java code implementations for various problems and concepts covered in the GeeksforGeeks “Data Structures and Algorithms Complete Course.” ...
Abstract: The inflow of DC magnetic flux into the core of power transformers under DC bias conditions leads to a significant increase in operational losses, noise levels, and vibration amplitudes, ...
Abstract: The integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies across industries has accelerated transformative changes, particularly within the intellectual property ...
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