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Titlebook: Advanced Computing; 13th International C Deepak Garg,Joel J. P. C. Rodrigues,Govind Singh P Conference proceedings 2024 The Editor(s) (if a

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Hermann Fink,Karl-Wilhelm Hoppenhaustions may be faced, such as adverse weather conditions, resource scarcity, etc. These factors may affect the project schedule. Therefore, the optimization of the construction period for PTTPs has important practical significance. The article conducted research on the optimization of construction per
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Versuche zur Isomerisierung von Buten-1,s mimicked by machines which are programmed to think or behave like humans. Modern approaches and tools for evaluating human behavior have been made possible by modern advancements in the fields of machine learning (ML) and artificial intelligence (AI). Due to its applicability in several industries
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https://doi.org/10.1007/978-3-662-26623-6alternative to traditional testing methods. The proposed methodology employs a Random Forest Regressor (RFR) model, surpassing other regression models like Decision Tree Regressor (DTR) and Linear Regression (LR). A user-friendly web interface has been developed to facilitate practical implementatio
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Einleitung und einleitende Literatur,rstanding and optimizing the power consumption of these systems is crucial for energy efficiency and cost savings. This research aims to explore the power consumption of refrigeration systems during power ON mode and perform Exploratory Data Analysis (EDA) and Machine Learning (ML) algorithms to gai
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Zur Struktur Baskischer Dialogtexte,imentally with different operating conditions e.g. variation spark ignition timing. The Engine Lab and PE3 software were used for engine control and data acquisition system. The data obtained after experimentation were used to predict the engine emissions for different operating conditions. The engi
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,Quantifikation und Identität in Texten,rained psychologists and psychiatrists in developing countries due to which many cases go undetected. The automated diagnosis of depression can, therefore, assist clinicians to screen the patients and help them to handle the symptoms. The advent of wearable devices in the past decade has helped in c
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https://doi.org/10.1007/978-3-663-05221-0s. Some of the key features like Google Maps API in emergency braking, BBD100K dataset for assessing autonomous driving risks amongst others, have been quite significant contributors towards the achievement of the project’s objectives. This will involve front end development with interface that is e
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Allgemeines zur Rauch- und Abgasanalyse,ity and running campaigns. These campaigns are run on various social media platforms to gain the attention of the voters. In this work, we analyze the effectiveness of such campaigns, by studying the sentiments that the users have towards the party and predict the result of the elections with its he
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