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1. |
Record Nr. |
UNINA9910716184403321 |
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Titolo |
Authorizing sale of parcel of land in town of Westport, Conn. June 18, 1926. -- Committed to the Committee of the Whole House on the State of the Union and ordered to be printed |
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Pubbl/distr/stampa |
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[Washington, D.C.] : , : [U.S. Government Printing Office], , 1926 |
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Descrizione fisica |
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1 online resource (2 pages) |
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Collana |
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House report / 69th Congress, 1st session. House ; ; no. 1516 |
[United States congressional serial set ] ; ; [serial no. 8537] |
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Altri autori (Persone) |
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DempseyS. Wallace <1862-1949> (Stephen Wallace), (Republican (NY)) |
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Soggetti |
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Public land sales |
Roads - Design and construction |
Roads |
Legislative materials. |
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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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Note generali |
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Batch processed record: Metadata reviewed, not verified. Some fields updated by batch processes. |
FDLP item number not assigned. |
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2. |
Record Nr. |
UNINA9910831005303321 |
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Titolo |
Advances in Computational Intelligence Systems : Contributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6–8, 2023, Birmingham, UK / / edited by Nitin Naik, Paul Jenkins, Paul Grace, Longzhi Yang, Shaligram Prajapat |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (666 pages) |
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Collana |
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Advances in Intelligent Systems and Computing, , 2194-5365 ; ; 1453 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Computational Intelligence |
Artificial Intelligence |
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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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Towards Reinforcement Learning for Non-Stationary Environments -- Detection of Cyberbullying on Social Media Platforms using Machine Learning -- The Changing Landscape of Machine Learning: A Comparative Analysis of Centralized Machine Learning, Distributed Machine Learning and Federated Machine Learning -- Privacy and Security Landscape of Metaverse -- Strategies to Apply Genetic Programming Directly to the Traveling Salesman Problem -- A Comparative Analysis of GPT-3 and BERT Models for Text-based Emotion Recognition: Performance, Efficiency, and Robustness -- An Intrusion Detection System using the XGBoost Algorithm for SDVN -- Hybridizing L´evy Flights and Cartesian Genetic Programming for Learning Swarm-based Optimization -- An Evaluation of Handwriting Digit Recognition using Multilayer SAM Spiking Neural Network -- Towards Accurate Rainfall Volume Prediction: An Initial Approach with Deep Learning, Advanced Feature Selection, Parameter Optimisation, and Ensemble Techniques for Time-SeriesForecasting. |
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Sommario/riassunto |
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This book comprises the papers presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), held at Aston University, |
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Birmingham, the UK, during 6 to 8 September 2023. UKCI is the flagship AI conference of the UK and Europe held annually. In UKCI 2023, a total of 63 papers were received from 11 countries including the UK, India, Germany, China, Japan, Australia, Italy, Thailand, Turkey, Jordan and Saudi Arabia; of these, 50 were accepted for presentation. The review process was rigorous, wherein three reviews were provided for all papers, with some having four reviews. This book highlights the latest research developments in computational intelligence and its applications. It covers both conventional and advanced techniques in fuzzy systems, neural networks, evolutionary computation, machine learning, deep learning, federated learning, data mining, cognitive computing, intelligent robotics, optimization methods, hybrid methods, and applications of computational intelligence. The book offers a valuable reference guide for readers with expertise in computational intelligence or who are seeking a comprehensive and timely review of the latest trends in computational intelligence. Special emphasis is placed on novel methods and their use in a wide range of application areas, updating both academics and professionals on the state of the art. |
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3. |
Record Nr. |
UNINA9911006817303321 |
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Autore |
Hennessy John L |
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Titolo |
Computer architecture [[electronic resource] ] : a quantitative approach / / John L. Hennessy, David A. Patterson ; with contributions by Andrea C. Arpaci-Dusseau ... [et al.] |
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Pubbl/distr/stampa |
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Amsterdam ; ; Boston, : Morgan Kaufmann, 2007 |
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ISBN |
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1-282-33002-0 |
9786612330025 |
0-08-047502-7 |
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Edizione |
[4th ed.] |
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Descrizione fisica |
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1 online resource (705 p.) |
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Collana |
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The Morgan Kaufmann Series in Computer Architecture and Design |
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Altri autori (Persone) |
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PattersonDavid A |
Arpaci-DusseauAndrea C |
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Disciplina |
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Soggetti |
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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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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Front cover; About the Authors; Copyright page; Topic Selection and Organization; An Overview of the Content; Navigating the Text; Chapter Structure; Case Studies with Exercises; Supplemental Materials; Helping Improve This Book; Concluding Remarks; Contributors to Previous Editions |
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Sommario/riassunto |
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The era of seemingly unlimited growth in processor performance is over: single chip architectures can no longer overcome the performance limitations imposed by the power they consume and the heat they generate. Today, Intel and other semiconductor firms are abandoning the single fast processor model in favor of multi-core microprocessors--chips that combine two or more processors in a single package. In the fourth edition of Computer Architecture, the authors focus on this historic shift, increasing their coverage of multiprocessors and exploring the most effective ways of achieving par |
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