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Titlebook: Reliability Engineering for Industrial Processes; An Analytics Perspec P. K. Kapur,Hoang Pham,Vivek Kumar Book 2024 The Editor(s) (if appli

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Exploring the Impact of Latent and Obscure Factors on Left-Censored Data: Bayesian Approaches and Cssment strategies to assess the effectiveness of our proposed models. To illustrate their superiority, we employ data from renowned Australian twins as a demonstrative case study, establishing the innovative models’ advantages over those relying on inverse Gaussian and gamma frailty distributions. T
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Book 2024 Moreover, the extensive role of business analytics has overcome the limitations ofclassical computing through new technologies and intelligent computing methodologies...Over the past few years, much emphasis has been given to investing in developing hardware and programming frameworks for achieving
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Book 2024 capabilities...The new-age economy is driven by advanced engineering and manufacturing practices, processes, and technologies, including the Internet of Things (IoT), Cloud Computing, Blockchain, Artificial Intelligence, Robotics, Cyber-Physical Systems (CPS), and Internet-enabled systems to automa
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Reliability and Sensitivity Analysis of a Wastewater Treatment Plant Operating with Two Blowers as undergo treatment due to its contamination. Wastewater treatment plants are pivotal in purifying wastewater and rendering it suitable for irrigation. Within these treatment plants, blowers play a crucial role, serving as vital assets. The failure of blowers can result in substantial repair costs. Co
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Exploring Software Systems Engineering Through Complexity of Code Changes: A Study Based on Bugs Cos behind this complexity in the code can either be bug removal phenomenon, new feature addition, or feature improvements, to name a few. Keeping in mind, the need to measure the complexity of the code changes, the authors have developed a modeling framework with an assumption that at any given time
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Generating Image Captions in Hindi Based on Encoder-Decoder Based Deep Learning Techniques,at describes images in words. These approaches utilize an encoder-decoder architecture, where an image is encoded into features by an encoder and those features are decoded into a text sequence by a decoder. Typically, Convolutional Neural Networks (CNNs) are employed as encoders, while Recurrent Ne
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Fault Removal Efficiency: A Key Driver in Software Reliability Growth Modeling,nd widespread integration of software systems across diverse domains, ensuring their dependability has emerged as a paramount concern. Software reliability growth models (SRGMs) play a crucial role in assessing and improving the reliability of software systems. These models provide a quantitative fr
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