Titlebook: Intelligent Sustainable Systems; Selected Papers of W Atulya K. Nagar,Dharm Singh Jat,Amit Joshi Conference proceedings 2024 The Editor(s)

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Optimizing Neural Network Performance for Time Series Analysis: Techniques for Improving Output AccN) to improve its output and achieve desired results. The input stage of a neural network is crucial in enabling it to learn and adapt to any given model. However, at times, the neural network may not reach its target due to incorrect identification of the input variables. The study found that addin

牛马之尿

Blatant

An IoT-Based Smart Waste Management System: Senegal SET, “Zero waste” project by His Excellency the President of the Republic led by the UCG (Solid Waste Management Coordination Unit), it is clear that the garbage cans continue to overflow in cities and eco-citizen behaviors are still not taken seriously. This research work wishes to contribute considera

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Social Media and Health Care: Effectiveness of Education About COVID-19 Vaccination to Improve Knowinstream media and on social media that casts doubt on the efficacy of vaccination in halting the spread of the COVID-19 virus. The level of disinformation being communicated about the COVID-19 vaccination and the connection between misinformation about the COVID-19 vaccine and vaccine hesitancy hav

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PAEAN

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Strategy for Continuous Training and Methodological Exchange for Public Accounting Students Throughof the public accounting program, using the I-Tournament tool and its contribution to the management of solutions for the business sector, through applied research in terms of its purpose and mixed in terms of its data source, with a triangular approach, descriptive scope, and deductive method. It i

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The Impact of State Institutions on Establishing Incremental Housing Finance in Low-Income South Afole of incremental housing finance in promoting inclusive housing for low-income groups in the country using a mixed-method approach that includes case study content analysis and interviews/surveys with 5 top executives at the National Housing Finance Corporation (NHFC). This study examines the impa

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Parametric Comparison of Deep Learning Models for Musculoskeletal Abnormality Detection,tificial intelligence (AI), particularly deep learning, to assist radiologists in the initial screening of abnormal radiographs. The aim of this study is to provide a comprehensive comparison of the various techniques that can be implemented to enhance the performance of existing models. The authors