01667nam0-2200517---450-99000005339020331620090511162008.088-14-07782-70005339USA010005339(ALEPH)000005339USA01000533920000914d1999----km-y0itay50------baitaITy---||||001yy<<Le>> indagini preliminari nel sistema processuale penalesoluzioni e proposte interpretative nei dibattiti della dottrina e della giurisprudenzaLuigi CarliMilanoGiuffrècopyr. 1999X, 716 p.24 cmIndagini preliminari345.45072CARLI,Luigi268113ITSALBCISBD990000053390203316XXVI.2.C 96 (IG X 351)23932 G.XXVI.2.C 96 (IG X)00207354ST D264 DDPGST DBKGIUDDPG20000914USA01172420001019USA01105520001019USA01145220001019USA01150020001019USA01153720001024USA01151320001027USA01151820001027USA01152220001110USA01170920001124USA01120620020403USA011612PATRY9020040406USA011605DDPG19020061107USA011555DDPG19020070115USA011700RSIAV19020090511USA011620Indagini preliminari nel sistema processuale penale1002040UNISA04193nam 2200661Ia 450 991096568360332120251117114951.09786610179503978030916714703091671409781280179501128017950397803095264560309526450(CKB)111069351133972(OCoLC)559516699(CaPaEBR)ebrary10049164(SSID)ssj0000146413(PQKBManifestationID)12003052(PQKBTitleCode)TC0000146413(PQKBWorkID)10183402(PQKB)10139884(Au-PeEL)EBL3375862(CaPaEBR)ebr10049164(OCoLC)923259247(MiAaPQ)EBC3375862(Perlego)4733065(BIP)11494733(EXLCZ)9911106935113397220040109d2003 uy 0engurcn|||||||||txtccrEnabling ocean research in the 21st century implementation of a network of ocean observatories /Committee on the Implementation of a Seafloor Observatory Network for Oceanographic Research, Ocean Studies Board, Division on Earth and Life Studies, National Research Council of the National Academies1st ed.Washington, D.C. National Academies Pressc20031 online resource (244 p.) Bibliographic Level Mode of Issuance: Monograph9780309089906 0309089905 Includes bibliographical references.FrontMatter -- Preface -- Acknowledgments -- Contents -- Executive Summary -- 1 Introduction -- 2 Lessons from Existing Ocean Observatories -- 3 Status of Planning for Proposed Research-Oriented Ocean Observatories -- 4 Implementation of a Network of Ocean Observatories for Research -- 5 Related Facility Needs for an Ocean Observatories Network -- 6 Relationship of the Ocean Observatories Initiative to Other Observatory Efforts -- 7 Findings, Conclusions, and Recommendations -- References -- Appendixes -- Appendix A Committee and Staff Biographies -- Appendix B Acronym List -- Appendix C Observatory Workshops and Workshop Reports -- Appendix D Ocean Observation Programs Mentioned in This Report -- Appendix E Time-Series Group Global Observatory Sites -- Color Plates.As the importance of the oceans to society grows, so does the need to understand their variation on many temporal and spatial scales. This need to understand ocean change is compelling scientists to move beyond traditional expeditionary modes of investigation. Observing systems will enable the study of processes in the ocean basins over varying timescales and spatial scales, providing the scientific basis for addressing important societal concerns such as climate change, natural hazards, and the health and viability of living and non-living resources along our coasts and in the open ocean. The book evaluates the scientific and technical readiness to move ahead with the establishment of a research-driven ocean observatory network, and highlights outstanding issues. These issues include the status of planning and development, factors that affect the timing of construction and installation, the cost and requirements for maintenance and operations, needs for sensor development and data management, the impact on availability of ships and deep submergence facilities, and the role of research-based observatories within national and international operational ocean observing systems being developed and implemented.Oceanographic research stationsOcean bottomOceanographic research stations.Ocean bottom.551.46/072National Research Council (U.S.).Committee on Implementation of a Seafloor Observatory Network for Oceanographic Research.MiAaPQMiAaPQMiAaPQBOOK9910965683603321Enabling ocean research in the 21st century4361487UNINA05940nam 22005775 450 991102235270332120250831130207.03-031-84517-X10.1007/978-3-031-84517-8(CKB)40851837000041(MiAaPQ)EBC32275531(Au-PeEL)EBL32275531(DE-He213)978-3-031-84517-8(OCoLC)1544986894(EXLCZ)994085183700004120250831d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierApplications of Computational Intelligence in Management and Mathematics I 9th ICCM 2023, NERIST, Arunachal Pradesh, India, August 04-05 /edited by Frank Lin, Imene Brigui, Nishtha Kesswani, Madhusudhan Mishra, Ashok Ray1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (727 pages)Springer Proceedings in Mathematics & Statistics,2194-1017 ;4923-031-84516-1 Preface -- Fixed point theorems on B_n- metric space -- IOT Univariate and Multivariate Time-Series Data Anomaly Detection: A Literature Review -- Estimate long-term and short-term coastline changes :a case study of Kakinada Coast, Southeast coast of India -- Machine Learning in Small- and Medium-Sized Enterprises Knowledge Management: An Overview of the Latest Trends -- Leveraging Machine Learning Algorithms for Accurate Solar PV Power Prediction in Real Time -- Real-Time Conversion of American Sign Language Using Convolutional Neural Network -- RDTP: Reliable Delay Time Protocolwith Duty-Cycle Optimization in 6LoWPAN-WBAN -- XLNet-LSTM: A Hybrid Architecture for Efficient MOOCs Evaluation using Deep Transfer Learning -- Empowering the Next Generation of Wireless Networks: Advanced Machine Learning Techniques for 5G and Beyond -- An Investigative Study on Anomaly Detection Techniques Utilizing Interactive Language Models -- A Survey on Customized Algorithm Approach for Solving Non-Convex Optimization Problems in Machine Learning -- A Comparative Study of Outlier Detection Algorithms in Diabetes -- An Application of Gradient Boosting in Laptop Price Prediction -- Metrics Evaluation on Fake News Detection Using Machine Learning Models -- An Optimized CNN-Based Approach for Efficient Object Detection Using YOLO -- Network Intrusion Detection System Using Gradient Boosting Algorithm -- Effective Water Quality Prediction Using Random Forest Algorithm -- A Comparative Study for Predicting Airline Passenger Satisfaction -- Exploring Ensemble Methods for Spam Classification -- Enhancing Security Through Trust Evaluation Using Hidden Markov Model in VANETs -- A Trusted Routing Scheme using Reinforcement Model in Mobile Adhoc Networks -- Detecting Monkeypox Skin Lesions with Deep Learning: A Promising Approach for Early Diagnosis -- Human Verification System using Neural Networks -- Ganvolution: Image Generation Using Generative Adversarial Networks -- Drone Detection System Using Image Processing -- Index.This volume encapsulates the collective knowledge shared and innovations presented at the 9th International Conference on Computers, Management & Mathematical Sciences (ICCM) 2023 held on the 24th and 25th of August, 2023 at the North Eastern Regional Institute of Science and Technology (NERIST), India. The ICCM 2023 was a hybrid conference, featuring both in-person and virtual attendance and explores the transformative role of computational intelligence in solving complex problems across management and mathematics. Computational intelligence encompasses techniques inspired by the human brain and nature—such as fuzzy systems, neural networks, and evolutionary computation—that excel in stochastic environments where reasoning is essential to derive meaningful solutions. The proceedings offer a comprehensive overview of how these powerful algorithms and principles are applied to a diverse array of research challenges, with a particular emphasis on computational aspects in the business domain. Scholars, researchers, and students will find invaluable insights into the development and implementation of innovative methods tailored to real-world scenarios. Key Highlights: Application of fuzzy logic to decision-making in uncertain environments. Advances in neural networks for predictive analysis and optimization. Evolutionary computation techniques for addressing complex, multi-variable problems. Insights into computational methods that bridge management theory and mathematical models. This volume serves as a critical resource for anyone seeking to harness computational intelligence to push the boundaries of research in management and mathematics. Whether you're a student embarking on your academic journey or a seasoned scholar, this book provides the tools and knowledge needed to navigate this dynamic field.Springer Proceedings in Mathematics & Statistics,2194-1017 ;492MathematicsData processingComputer scienceMathematicsComputational Mathematics and Numerical AnalysisMathematics of ComputingMathematicsData processing.Computer scienceMathematics.Computational Mathematics and Numerical Analysis.Mathematics of Computing.006.3Lin Frank1785010Brigui Imene1358152Kesswani Nishtha1358149Mishra Madhusudhan1363626Ray Ashok1846962MiAaPQMiAaPQMiAaPQBOOK9911022352703321Applications of Computational Intelligence in Management and Mathematics I4431910UNINA