Water is the most crucial element for living organism. It is also important to maintain the quality of water. It's crucial to ensure safety and sustainability of freshwater resources. This research focuses on asse...
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As per the observations of World Health Organization (WHO), heart related issues are the prominent reason for the loss of life and is becoming more common every year. Timely therapy raises the possibility of cure. For...
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The concept of the life cycle will be topical in the foreseeable future. The main reason for this forecast is the increase of the complexity level of software and hardware complexes of automated systems. As a rule, th...
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The four most prevalent diseases that affect apple leaves are black rot, cedar rust, scab and leaf blotch. The spread of infection can be stopped and the healthful growth of the apple sector ensured by early detection...
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The number of Internet-based devices is increasing exponentially in day-to-day life. Higher levels of usage results in increased network traffic. It affects the network performance rate and quality, thereby leaving a ...
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The study explores applying Ensemble Machine Learning (ML) model to predict car prices using a dataset of car images. It aims to improve accuracy and efficiency in the automotive market. By leveraging machine learning...
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Skin conditions are common everywhere, and early and precise diagnosis is essential for successful treatment. This work gives a thorough investigation of the use of Python programming and machine learning techniques f...
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Predictive analytics by combining ensemble learning and deep learning techniques. The first step normalizes the feature space with MinMaxScaler, which improves the performance of the algorithms. To tackle class imbala...
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modeling social media users is the core of social governance in the digital society. Existing works have incorporated different digital traces to better learn the representations of social media users, including text ...
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The proceedings contain 38 papers. The topics discussed include: assessing manufacturing agility: an updated state-of-the-art and operational insights;a review of quality improvement framework for industry 4.0;uncover...
The proceedings contain 38 papers. The topics discussed include: assessing manufacturing agility: an updated state-of-the-art and operational insights;a review of quality improvement framework for industry 4.0;uncovering the potential and pitfalls of process mining in manufacturing;long-pulse fiber laser micro-hole drilling of nickel superalloy;image processing with deep-learning and transfer learning for cutting tool degradation monitoring;methodologies for connecting an external signal-processing unit for adaptive control in machining systems;research on internal surface finishing of multi-cross channels;static stiffness analysis of an electronically preloaded rack and pinion feed drive system;and an advanced method to assess mechanical filtering effect of tactile coordinate-measuring system in dimensional measurement of additive manufacturing parts.
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