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1. |
Record Nr. |
UNINA9910411936303321 |
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Autore |
Hinders Mark K |
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Titolo |
Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint / / by Mark K. Hinders |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XIV, 346 p. 208 illus., 143 illus. in color.) |
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Disciplina |
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Soggetti |
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Signal processing |
Image processing |
Speech processing systems |
Biomedical engineering |
Materials science |
Automatic control |
Robotics |
Mechatronics |
Computer science |
Signal, Image and Speech Processing |
Biomedical Engineering and Bioengineering |
Materials Science, general |
Control, Robotics, Mechatronics |
Computer Science, general |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Background and history -- Intelligent structural health monitoring with ultrasonic lamb waves -- Automatic detection of flaws in recorded music -- Pocket depth determination with an ultrasonographic periodontal probe -- Spectral intermezzo: Spirit security systems -- Lamb wave tomographic rays in pipes -- Classification of RFID tags with wavelet fingerprinting -- Pattern classification for interpreting sensor data from a walking-speed robot -- Cranks and charlatans and deepfakes. |
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Sommario/riassunto |
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This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify features for machine learning and pattern classification in time-domain signals. Whether for medical imaging or structural health monitoring, it develops analysis techniques and measurement technologies for the quantitative characterization of materials, tissues and structures by non-invasive means. Intelligent Feature Selection for Machine Learning using the Dynamic Wavelet Fingerprint begins by providing background information on machine learning and the wavelet fingerprint technique. It then progresses through six technical chapters, applying the methods discussed to particular real-world problems. Theses chapters are presented in such a way that they can be read on their own, depending on the reader’s area of interest, or read together to provide a comprehensive overview of the topic. Given its scope, the book will be of interest to practitioners, engineers and researchers seeking to leverage the latest advances in machine learning in order to develop solutions to practical problems in structural health monitoring, medical imaging, autonomous vehicles, wireless technology, and historical conservation. |
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2. |
Record Nr. |
UNINA9911015879703321 |
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Autore |
Hafiza Shukor |
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Titolo |
Biomass Processing for Sustainable Circular Economy / / edited by Hafiza Shukor, Muaz Mohd Zaini Makhtar, Abu Zahrim Yaser |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (382 pages) |
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Altri autori (Persone) |
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Mohd Zaini MakhtarMuaz |
Abu Zahrim Yaser |
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Disciplina |
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Soggetti |
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Environmental engineering |
Biotechnology |
Bioremediation |
Business logistics |
Sustainability |
Environmental Engineering/Biotechnology |
Supply Chain Management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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The Biomass Processing As A Key Enabler of Circular Economy Practices: Emphasizing Its Potential To Convert Biomass Into Valuable Resources And Contribute To The Sustainable Use of Natural Resources -- Malaysia Biomass Utilization, Bioenergy and Supply Chain -- Extraction Technologies for Bioactive Compounds -- Biomass Conversion Technology to Renewable Energy -- Enzymes and single cell protein production via biorefineries approach -- Biosynthesis of Solvents and Chemicals from Biomass via Green Approaches -- Low-cost recycling of Agricultural Biomass into Compost using Black Soldier Fly and Compost Worms -- Biomass-fuelled and Light Energy-driven Bioelectrochemical System -- Biomass Utilization in Food Technology -- Preparation and characterization of activated carbon from grass clippings biomass for the removal of dye contaminated waste water -- Potential production of high-liquid hydrocarbons from blended Chlorella sp. and cooking oil via co-pyrolysis as a new waste |
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management strategy -- Vegetable Oil as a Renewable Feedstock for Biobased Polyurethane Foam: A Sustainable Alternative -- Sustainability of Biomass Utilization: Engineering & Economic Aspects -- The Way Forward for Emerging Trends and Innovations in Biomass Processing for Circular Economy. |
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Sommario/riassunto |
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This book explores the pivotal role of biomass processing in catalyzing a sustainable circular economy, highlighting its ability to convert waste into useful materials. It offers a wide spectrum of topics, from Malaysia's biomass use to bioenergy supply chains and cutting-edge extraction technologies for bioactive compounds. Key bioconversion strategies like enzyme and single-cell protein production via biorefineries and green biosynthesis of solvents and chemicals are explored in detail. The book describes innovative low-cost biomimetic technologies using Black Soldier Fly and Compost Worms, bioelectrochemical systems fueled by biomass, and the use of biomass in food technology. The book further describes activated carbon production from wastewater treatment, hydrocarbons in high liquids using co-pyrolysis, and vegetable oils as renewable raw materials for polyurethane biobased foam. The primary themes include sustainability, engineering, and economic sustainability, with explorations of the latest trends and innovations in the processing of biomass. The use of biomass in circular economy principles, its transformation into renewable sources of energy, and its incorporation in various sectors are also explained. Through new technologies and eco-friendly strategies, this book is a necessity for researchers, business professionals, and policymakers committed to the innovation of biomass-based solutions. |
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