{"product_id":"advanced-computational-techniques-for-sustainable-computing-9780367495220","title":"Advanced Computational Techniques for Sustainable Computing","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eBuilding smart sustainable solutions involves applying mining, learning, IoT, and sensor-based techniques for sustainable computing, extracting data from various sources, pre-processing data, and using data analytic language like R and Python to improve sustainable services offered by multi-disciplinary domains. It also involves comparison and analysis of recent technologies and trends, as well as the development of smart models for information gain and effective decision-making with visualization. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 322 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 25 July 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eDelving into the realm of smart, sustainable solutions, this comprehensive guide offers invaluable insights on harnessing cutting-edge technologies to drive positive change. It explores the application of mining, learning, IoT, and sensor-based techniques in sustainable computing, providing a deep understanding of data extraction, pre-processing, and effective utilization for application-based research. The guide also emphasizes practical usage of data analytic languages such as R and Python to enhance sustainable services across diverse multidisciplinary domains. Additionally, it encompasses a comparative analysis of recent technologies and trends, highlighting the development of smart models for information gain and effective decision-making with visualization. By embracing these innovative approaches, individuals and organizations can contribute to building a more sustainable and resilient future.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003cstrong\u003eIntroduction:\u003c\/strong\u003e\u003cbr\u003eIn today's rapidly evolving world, the need for smart, sustainable solutions has become increasingly pressing. As we face the challenges of climate change, resource depletion, and environmental degradation, it is crucial to explore innovative approaches that can help us achieve a more sustainable future. This comprehensive guide aims to provide valuable insights on harnessing cutting-edge technologies to build smart, sustainable solutions.\u003cbr\u003e\u003cstrong\u003eMining, Learning, IoT, and Sensor-Based Techniques in Sustainable Computing:\u003c\/strong\u003e\u003cbr\u003eMining, learning, IoT, and sensor-based techniques play a pivotal role in sustainable computing. By leveraging these technologies, we can extract valuable data from various sources and transform it into useful information for application-based research. Data extraction involves the process of gathering and extracting relevant data from diverse sources, such as sensors, social media, and environmental databases. Pre-processing of data is then necessary to clean and normalize the data, ensuring its accuracy and suitability for analysis.\u003cbr\u003e\u003cstrong\u003eEffective Use of Extracted Data for Application-Based Research:\u003c\/strong\u003e\u003cbr\u003eOnce the data has been extracted and pre-processed, it can be utilized for application-based research. This involves analyzing the data to identify patterns, trends, and insights that can inform decision-making and policy development. Data analytic languages such as R and Python are widely used for data analysis and visualization, allowing researchers to explore and interpret the data in a meaningful way.\u003cbr\u003e\u003cstrong\u003ePractical Usage of Data Analytic Languages:\u003c\/strong\u003e\u003cbr\u003eData analytic languages such as R and Python are essential tools for improving sustainable services offered by multi-disciplinary domains. R is a powerful programming language for statistical analysis and data manipulation, while Python is known for its versatility and ease of use. By learning these languages, researchers and practitioners can develop smart models and algorithms that can help optimize processes, reduce waste, and improve resource efficiency.\u003cbr\u003e\u003cstrong\u003eComparison and Analysis of Recent Technologies and Trends:\u003c\/strong\u003e\u003cbr\u003eTo stay up-to-date with the latest technologies and trends in sustainable computing, it is important to conduct a comparative analysis. This involves examining the latest developments in mining, learning, IoT, and sensor-based techniques, as well as exploring emerging technologies such as artificial intelligence, blockchain, and quantum computing. By understanding these trends, researchers and practitioners can identify new opportunities for innovation and collaboration.\u003cbr\u003e\u003cstrong\u003eDevelopment of Smart Models for Information Gain and Effective Decision-Making:\u003c\/strong\u003e\u003cbr\u003eIn order to make effective decisions, it is crucial to have access to accurate and timely information. Smart models can help achieve this by leveraging data analytics and machine learning algorithms. These models can analyze large datasets and identify patterns and insights that can inform decision-making processes. Visualization is also an important aspect of smart modeling, as it allows researchers and practitioners to present their findings in a clear and concise manner.\u003cbr\u003e\u003cstrong\u003eConclusion:\u003c\/strong\u003e\u003cbr\u003eIn conclusion, smart, sustainable solutions require the application of cutting-edge technologies such as mining, learning, IoT, and sensor-based techniques. By leveraging these technologies, we can extract valuable data, analyze it effectively, and make informed decisions that contribute to a more sustainable and resilient future. This comprehensive guide provides valuable insights on how to build smart, sustainable solutions, and encourages individuals and organizations to embrace these innovative approaches.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 790g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 254 x 178 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9780367495220\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Hardback","offer_id":44103816741114,"sku":"9780367495220","price":147.56,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1659096780859_book.jpg?v=1659344770","url":"https:\/\/shulphink.com\/products\/advanced-computational-techniques-for-sustainable-computing-9780367495220","provider":"Shulph Ink","version":"1.0","type":"link"}