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1. |
Record Nr. |
UNINA9910793953603321 |
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Autore |
Young Ken |
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Titolo |
Super Bomb : Organizational Conflict and the Development of the Hydrogen Bomb / / Ken Young, Warner R. Schilling |
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Pubbl/distr/stampa |
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Ithaca, NY : , : Cornell University Press, , [2020] |
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©2020 |
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ISBN |
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1-5017-4518-2 |
1-5017-4517-4 |
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Descrizione fisica |
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1 online resource (1 online resource.) |
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Collana |
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Cornell Studies in Security Affairs |
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Disciplina |
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Soggetti |
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Hydrogen bomb - United States - History |
Hydrogen bomb - Government policy - United States - History |
Arms race - History - 20th century |
United States Military policy |
United States Politics and government 1945-1953 |
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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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Also issued in print: 2020. |
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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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Frontmatter -- Contents -- Preface -- Acknowledgments -- Introduction -- 1. The Shock of the “New World” -- 2. Advising on the Super -- 3. A Decision Reached -- 4. Moral and Political Consequences -- 5. Dissent and Development -- 6. Tactical Diversions -- 7. Rewriting Los Alamos -- Conclusions -- Notes -- Bibliography -- Index |
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Sommario/riassunto |
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Super Bomb unveils the story of the events leading up to President Harry S. Truman's 1950 decision to develop a "super," or hydrogen, bomb. That fateful decision and its immediate consequences are detailed in a diverse and complete account built on newly released archives and previously hidden contemporaneous interviews with more than sixty political, military, and scientific figures who were involved in the decision. Ken Young and Warner R. Schilling present the expectations, hopes, and fears of the key individuals who lobbied for and against developing the H-bomb. They portray the conflicts that arose over the H-bomb as rooted in the distinct interests of the Atomic Energy Commission, the Los Alamos laboratory, the Pentagon and State Department, the Congress, and the White House. But as they clearly |
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show, once Truman made his decision in 1950, resistance to the H-bomb opportunistically shifted to new debates about the development of tactical nuclear weapons, continental air defense, and other aspects of nuclear weapons policy. What Super-Bomb reveals is that in many ways the H-bomb struggle was a proxy battle over the morality and effectiveness of strategic bombardment and the role and doctrine of the US Strategic Air Command. |
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2. |
Record Nr. |
UNISA996550550703316 |
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Autore |
Saini Mukesh Kumar |
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Titolo |
Agriculture-Centric Computation [[electronic resource] ] : First International Conference, ICA 2023, Chandigarh, India, May 11-13, 2023, Revised Selected Papers / / edited by Mukesh Kumar Saini, Neeraj Goel, Hanumant Singh Shekhawat, Jaime Lloret Mauri, Dhananjay Singh |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (265 pages) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 1866 |
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Altri autori (Persone) |
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GoelNeeraj |
ShekhawatHanumant Singh |
MauriJaime Lloret |
SinghDhananjay |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computer networks |
Machine learning |
Data mining |
Image processing - Digital techniques |
Computer vision |
Artificial Intelligence |
Computer Communication Networks |
Machine Learning |
Data Mining and Knowledge Discovery |
Computer Imaging, Vision, Pattern Recognition and Graphics |
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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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Fine Tuned Single Shot Detector for Finding Disease Patches in Leaves -- Empirical Analysis and Evaluation of Factors Influencing Adoption of AI-based Automation Solutions for Sustainable Agriculture -- FusedNet Model for Varietal Classification of Rice Seeds -- Fertilizer Recommendation using Ensemble Filter-based Feature Selection Approach -- Privacy-Preserving Pest Detection Using Personalized Federated Learning -- A review on applications of artificial intelligence for identifying soil nutrients -- IRPD: In-Field Radish Plant Dataset -- Fast Rotated Bounding Box Annotations for Object Detection -- IndianPotatoWeeds: An Image Dataset of Potato Crop to Address Weed Issues in Precision Agriculture -- Estimation Of Leaf Parameters in Punjab Region Through Multi-Spectral Drone Images using Deep Learning Models -- Application of near-infrared (NIR) hyperspectral imaging system for protein content prediction in chickpea flour -- Classification of crops based on band quality and redundancy from hyperspectral image -- Automated Agriculture News Collection, Analysis, and Recommendation -- Intelligent Chatbot Assistant in Agriculture Domain -- Machine Learning Methods for Crop Yield Prediction -- Real-time Plant Disease Detection: A Comparative Study -- Fruit Segregation using Deep Learning -- Investigation of the bulk and electronic properties of boron/nitrogen/indium doped armchair graphene nanoribbon for sensing plant VOC: A DFT study. |
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Sommario/riassunto |
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This book constitutes revised selected papers from the First International Conference on Agriculture-Centric Computation, ICA 2023, held in Chandigarh, India, in May 2023. The 18 papers were thoroughly reviewed and selected from the 52 submissions. They examine how computing disciplines such as big data analytics, artificial intelligence, machine learning, the Internet of Things (IoT), remote sensing, robotics, and drones can be applied to agriculture to address some of the biggest challenges facing the industry today, including climate change, food security, and environmental sustainability. |
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