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  • 1
    ISBN: 9789811636905
    Language: English
    Pages: 1 Online-Ressource(XX, 1671 p. 986 illus., 741 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Electrical Engineering 783
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Information technology. ; Business—Data processing. ; Artificial intelligence. ; Neural networks (Computer science). ; Computer engineering. ; Internet of things. ; Embedded computer systems. ; Computer software.
    Abstract: Automatic Notes Generation From Lecture Videos -- Correlation between Code Smells for Open Source Java Projects -- Throughput Improvement in Energy Efficient Heterogeneous Wireless Sensor Network -- Deep Learning Models for Rubik’s cube with Entropy Modelling -- Detecting Diabetic Retinopathy Using Deep Learning Technique with RESNET-50 -- Restoration of Rician Corrupted MR Data using Improved Hybrid Model -- Flight Delay Prediction using Random Forest Classifier -- A framework using Markov-Baye’s model for Intrusion Detection in Wireless Sensor Network -- Effective text comment classification using Novel ML algorithm - Modified Lazy Random Forest -- Unraveling Deep Learning Performance in Cross-Sensor Iris Recognition -- Travelling Salesman Problem Using GA-ACO Hybrid Approach: A Review -- Efficient and Robust Indian Number Plate Recognition through Modified and Tuned LPRNet -- An Improved Machine Learning Prediction Model for Diabetes.
    Abstract: This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human–computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
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  • 2
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    ISBN: 9789811900433
    Language: English
    Pages: 1 Online-Ressource(XII, 191 p. 21 illus., 17 illus. in color.)
    Edition: 1st ed. 2022.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Forensic sciences. ; Bioinformatics. ; Biomedical engineering. ; Medical jurisprudence. ; Criminology.
    Abstract: Insights and Advancements in DNA Forensics -- DNA: The Master Molecule -- Attaining State of the Art in DNA Tests -- Inscription from Author’s Diary -- DNA Sample Collection and Packaging: Chain of Custody -- Extraction and Analysis of DNA Samples in Laboratory -- DNA Extraction from Biological Samples -- Post Extraction Processing of DNA for Profiling and Understanding Reports -- DNA in Courtrooms -- DNA in Criminal Adjudication -- Legal Contours for DNA Evidence -- Forensic DNA in Exonerations -- DNA Legislations Challenges and Opportunities -- DNA Based Human Identification in Mass Disaster Cases -- DNA as Tool for Revealing Truth in Civil as well as Criminal Cases.
    Abstract: This handbook covers tested and proven DNA forensic testing methodologies, forensic bioinformatics techniques, case studies and current forensic legal framework for investigation of variety of crimes and provides a clinching evidence for speedy justice. DNA testing is widely used for forensic purposes and is changing the paradigm of (crime) investigation. The book contains chapters on usage of ultramodern DNA collection kits, presents era evidence collection and preservation, high-end DNA sample analysis in laboratory, DNA legislation, expert evidences, challenging and successful case studies, data generation and application of AI and IoT techniques for DNA data analysis, DNA databanks and training manpower to facilitate timely reporting to the requesting agencies. This handbook equips and enables police, investigators and crime analysis laboratories with knowhow of high-end tools, procedures and techniques to link or exclude a criminal to a crime. It is expected that this will be used by first responders, police, forensic analysts, judiciaries, evidence handlers and students and scholars of criminology and forensic sciences worldwide. The intention to write this handbook is to make DNA technology and its importance reach every common man and professional for correctly using it as a tool as and when required. This is quite evident that awareness of DNA technology has increased at a reasonable pace. Courts and investigating agencies are convinced and confident with its accuracy, reliability and unmatched peace delivered by various techniques of DNA fingerprinting and DNA profiling.
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  • 3
    ISBN: 9789811684845
    Language: English
    Pages: 1 Online-Ressource(XIV, 528 p. 294 illus., 219 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Electrical Engineering 834
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Machine learning. ; Artificial intelligence—Data processing. ; Artificial intelligence.
    Abstract: Machine Learning-based Project Resource Allocation Fitment Analysis System – (ML-PRAFS) -- Electric Theft Detection using Un-supervised Machine Learning Based Matrix Profile and K Means Clustering Technique -- Placement Analysis – A New Approach to Ease the Recruitment Process -- Continuous Assessment Analyzer using Django -- Fuzzy Logic in Battery Energy Storage System (Bess) -- Fault Classification of Cooling Fans using a CNN-based Approach -- Violence Recognition using Convolutional Neural Networks -- Automated Grading of Citrus Suhuiensis Fruit using Deep Learning Method -- The Future of Car Automation Field with Smart Driverless Technologies -- Diagnosis and Medicine Prediction for Covid-19 using Machine Learning Approach -- Automated Guided Vehicle Robot Localization with Sensor Fusion -- Implementation of Industrial Automation Water Distribution System Utilizing PLC: A Laboratory Set-up -- Control of Thin McKibben Muscles in an Antagonistic Pair Configuration -- Defect Severity Classification of Complex Composites using CWT and CNN -- Detection of Mobile Phone Usage While Driving using Computer Vision and Deep Learning -- Industry Revolution 4.0 Knowledge Assessment in Malaysia.
    Abstract: The book includes select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2021). The book constitutes peer-reviewed papers on machine learning, computational intelligence, the internet of things, and smart city applications emphasizing multi-disciplinary research in artificial intelligence and cyber-physical systems. This book addresses the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. The book will be useful for researchers, research scholars, and students to formulate their research ideas and find future directions in these areas. It will help the readers to solve a diverse range of problems in industries and their real-world applications.
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  • 4
    ISBN: 9789819927463
    Language: English
    Pages: 1 Online-Ressource(XI, 779 p. 378 illus., 308 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Cognitive Science and Technology
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Machine learning. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: Cell-Free Massive MIMO versus Small Cells -- High Precision Navigation using Particle Swarm Optimization based KF -- Recent Advancements for Detection and Prediction of Breast Cancer using Deep Learning A Review -- Automatic Vehicle Signal Enabling System using IoT -- Study report of TOR anti- forensic techniques.
    Abstract: This book includes original, peer-reviewed articles from the 2nd International Conference on Cognitive & Intelligent Computing (ICCIC-2022), held at Vasavi College of Engineering Hyderabad, India. It covers the latest trends and developments in areas of cognitive computing, intelligent computing, machine learning, smart cities, IoT, artificial intelligence, cyber-physical systems, cybernetics, data science, neural network, and cognition. This book addresses the comprehensive nature of computational intelligence, cognitive computing, AI, ML, and DL to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. Submissions are original, unpublished, and present in-depth fundamental research contributions either from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.
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  • 5
    Article
    Article
    Show associated volumes/articles
    In:  Journal of ethnopharmacology : an interdisciplinary journal devoted to bioscientific research on indigenous drugs Vol. 123, No. 3 (2009), p. 392-396
    ISSN: 0378-8741
    Language: Undetermined
    Titel der Quelle: Journal of ethnopharmacology : an interdisciplinary journal devoted to bioscientific research on indigenous drugs
    Publ. der Quelle: Shannon : Elsevier Science Ireland
    Angaben zur Quelle: Vol. 123, No. 3 (2009), p. 392-396
    DDC: 610
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  • 6
    Online Resource
    Online Resource
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    ISBN: 9783036596433 , 9783036596426
    Language: Undetermined
    Pages: 1 Online-Ressource (240 p.)
    Keywords: Research and information: general ; Environmental economics ; pumping station pipeline ; chaotic characteristic ; IVMD ; vibration response ; correlation dimension ; Lyapunov exponent ; monitoring ; mitigations ; spatial and temporal variabilities ; principal component analysis ; cluster analysis ; discriminant analysis ; water quality ; pollution ; correlation ; settlement ; damage evolution ; seepage/stress-damage method ; data monitoring ; groundwater ; heavy metals ; physicochemical parameters ; in-situ ; machine learning ; geostatistical analysis ; nanofiltration ; electrocoagulation ; nickel ; zinc ; copper ; water pollution ; adsorption ; copper ions ; adsorption mechanism ; adsorption kinetics ; thermodynamics ; expanded S-curve model ; domestic water usage ; economic development ; mathematical model ; Sentinel-2 ; chlorophyll ; turbidity ; lake ; concentration modeling of contaminants ; Cuernavaca aquifer ; hydrochemistry ; water quality index ; time series analysis ; spatial analysis ; water intensity ; LMDI model ; Tapio model ; technical effect ; industrial structure effect ; regional scale effect ; tannery effluent ; ozonation ; optimization ; turbidity removal ; Taguchi ; ecosystem services ; provisioning ecosystem services ; regulating ecosystem services ; cultural ecosystem services ; supporting ecosystem services ; modeling ; water quality indexing
    Abstract: This reprint aims to identify critical areas of water quality assessment, modeling, and mitigation in freshwater bodies, wastewater treatment, and groundwater aquifers, which require special attention. This links the volume to multiple regulatory options, including policy and governance measures, alternative ecosystem service dependence options (i.e., nature-based solutions), or mechanisms that link regions to international processes, like measures proposed under the Environmental Protection guidelines. The reprint will pay special attention to water quality assessment, modeling, and mitigation
    Note: English
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  • 7
    ISBN: 9789386081025 , 9386081024
    Language: English
    Pages: x, 172 Seiten , Illustrationen , 23 cm
    Edition: First edition
    Dissertation note: Dissertation Ranchi University 1996
    DDC: 954.127
    RVK:
    Keywords: Asur (Indic people) Social life and customs ; Nagesia (Indic people) Social life and customs ; Asur (Indic people) ; Social life and customs ; Manners and customs ; Netarhat (India) Social life and customs ; Netarhat (India) Religious life and customs ; Hochschulschrift ; Hochschulschrift ; Hochschulschrift
    Abstract: Study conducted in Naterhat town of Latehar District, Jharkhand, India
    Note: Seite [ix]: "This book is largely based on a doctoral thesis entitled 'Religion, Magic, Festival in Tribal Bihar' submitted by my father Late (Dr.) Hanuman Mishra to the Ranchi University, Ranchi in 1996." , Literaturverzeichnis Seite 160 - 163
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  • 8
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Energy Sector Management Assistance Program Papers
    Series Statement: World Bank E-Library Archive
    Abstract: India is the world's third largest consumer of energy. It is widely acknowledged that the role of energy efficiency (EE) in reducing India's carbon dioxide emissions and improving energy security is critical. Achieving the overarching goal of increasing EE in South Asia would be enabled by a well-planned, professionally executed public communication strategy and outreach program with clear audience segmentation. As the first step towards implementing a strategic communication program, the World Bank commissioned an analysis of EE-related. communications in India targeted towards various stakeholders and energy consumers. This communication analysis, including mapping of key stakeholders in the Indian EE communications landscape, is part of the World Bank's implemented program titled 'Scaling up the demand side energy efficiency business line in South Asia', and will inform a communications strategy that aims to increase awareness and foster an enabling policy and business environment for EE in India. The study aims to understand the attitudes of the policymakers and nodal agencies, EE implementers, and consumers (industries and general public from various energy consuming sectors) about EE, and gauge the various stakeholders' informational needs and preferred channels of information on EE issues. In order to influence more energy efficient behaviors in India, there is a need to examine what has worked in motivating new behaviors, and what has not worked and why. The research also aims to map various categories of stakeholders in the EE landscape in India, which have an impact on identifying, developing, designing, and implementing EE improvement activities in all major energy consuming sectors, namely, Industry, Transport, Agriculture, Commercial, and Residential
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 9
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Energy Sector Management Assistance Program Papers
    Series Statement: World Bank E-Library Archive
    Abstract: India is currently one of the fastest growing major economies in the world. Sustaining a high growth rate is believed to be critical for India to alleviate poverty in the country, since it feeds more than a billion people. Energy, being a key enabler of a country's economic growth and development, has witnessed a significant rise in its consumption in India. In 2013 about 528.34 million tons of oil equivalent (Mtoe) were consumed, making India the third largest consumer of energy in the world, more than 70 percent of which is supplied by fossil sources. Increasing energy demand naturally strains the country's resources and impacts the environment. This warrants decoupling the country's economic growth and energy demand. This is also echoed through India's intended nationally determined contribution submitted in the run-up to the Paris Climate Conference, where the government has highlighted energy conservation as a key mitigation strategy. It seeks to achieve total avoided capacity addition of 19,598 MW and fuel savings of around 23 million tons per year through the National Mission for Enhanced Energy Efficiency (NMEEE). However, this requires concerted effort at the central and state levels, especially considering the existing federal governance architecture where many subjects, including electricity, fall under the jurisdictions of both the center and the state
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 10
    ISBN: 9789819979547
    Language: English
    Pages: 1 Online-Ressource(XII, 707 p. 385 illus., 318 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1106
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Machine learning. ; Artificial intelligence ; Artificial intelligence.
    Abstract: Machine Learning-based Project Resource Allocation Fitment Analysis System – (ML-PRAFS) -- Electric Theft Detection using Un-supervised Machine Learning Based Matrix Profile and K Means Clustering Technique -- Placement Analysis – A New Approach to Ease the Recruitment Process -- Continuous Assessment Analyzer using Django -- Fuzzy Logic in Battery Energy Storage System (Bess) -- Fault Classification of Cooling Fans using a CNN-based Approach -- Violence Recognition using Convolutional Neural Networks -- Automated Grading of Citrus Suhuiensis Fruit using Deep Learning Method -- The Future of Car Automation Field with Smart Driverless Technologies -- Diagnosis and Medicine Prediction for Covid-19 using Machine Learning Approach -- Automated Guided Vehicle Robot Localization with Sensor Fusion -- Implementation of Industrial Automation Water Distribution System Utilizing PLC: A Laboratory Set-up -- Control of Thin McKibben Muscles in an Antagonistic Pair Configuration -- Defect Severity Classification of Complex Composites using CWT and CNN -- Detection of Mobile Phone Usage While Driving using Computer Vision and Deep Learning -- Industry Revolution 4.0 Knowledge Assessment in Malaysia.
    Abstract: This volumes comprises select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2022). The contents cover latest research trends and developments in the areas of machine learning, smart cities, IoT, Artificial Intelligence, cyber physical systems, cybernetics, data science, neural network, cognition, among others. It also addresses the comprehensive nature of computational intelligence, AI, ML and DL to emphasize its character in modelling, identification, optimization, prediction, forecasting, and control of future intelligent systems. This volume will be a useful guide to those working as researchers in academia and industry by presenting in-depth fundamental research contributions from a methodological/application perspective in understanding Artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.
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