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1. |
Record Nr. |
UNINA990009360880403321 |
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Autore |
Istituto geografico militare |
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Titolo |
Teramo Est [Documento cartografico] / Istituto geografico militare |
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Pubbl/distr/stampa |
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Descrizione fisica |
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1 carta : color. ; 41 x 37 su foglio 61 x 51 cm |
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Collana |
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Carta d'Italia ; 140, quadrante 1, tavoletta NO |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale cartografico a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Il meridiano di riferimento è M. Mario, Roma |
Rilievo fotogrammetrico del 1955 |
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2. |
Record Nr. |
UNINA9910316450003321 |
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Titolo |
Voices from the South |
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Pubbl/distr/stampa |
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Durbanville, : AOSIS, 2018 |
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ISBN |
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Descrizione fisica |
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Soggetti |
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Art forms |
Humanities |
Digital lifestyle |
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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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Sommario/riassunto |
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This volume captures the status of digital humanities within the Arts in South Africa. The primary research methodology falls within the broader tradition of phenomenological hermeneutics, with a specific emphasis on visual hermeneutics. Some of the tools utilised as part of the visual hermeneutic methods are geographic information system (GIS) mapping, sensory ethnography and narrative pathways. Digital humanities is positioned here as the necessary engagement of the humanities with the pervasive digital culture of the 21st century. It is posited that the humanities and arts, in particular, have an essential role to play in unlocking meaning from scientific, technological and data-driven research. The critical engagement with digital humanities is foregrounded throughout the volume, as this crucial engagement works through images.
Images (as understood within image studies) are not merely another form of text but always more than text. As such, this book is the first of its kind in the South African scholarly landscape, and notably also a first on the African continent. Its targeted audience include both scholars within the humanities, particularly in the arts and social sciences. Researchers pursuing the new field of digital humanities may also find the ideas presented in this book significant. Several of the chapters analyse the question of dealing with digital humanities through representations of the self as viewed from the Global South. However, it should be noted that self-representation is not the only area covered in this volume. The latter chapters of the book discuss innovative ways of implementing digital humanities strategies and methodologies for teaching and researching in South Africa. |
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3. |
Record Nr. |
UNINA9911047818703321 |
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Autore |
Yao Haipeng |
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Titolo |
UAV Swarm Cooperation : A Networking Perspective / / by Haipeng Yao, Tianle Mai |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (359 pages) |
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Collana |
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Wireless Networks, , 2366-1445 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computer networks |
Cooperating objects (Computer systems) |
Wireless communication systems |
Mobile communication systems |
Computer Communication Networks |
Cyber-Physical Systems |
Wireless and Mobile Communication |
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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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1. Introduction of Unmanned Aerial Vehicles Swarm Networks -- 2. Adaptive UAV Swarm Networks Topology Organization -- 2.1. Introduction of Adaptive UAV Swarm Clustering and Networking -- 2.2. Fission Spectral Clustering Strategy for UAV Swarm Networks -- 2.3. Graph Attentional Based Agglomerative Cluster for UAV Swarm Networks -- 2.4. Adaptive State-aware UAV Swarm Networking Organization -- 3. Intelligent UAV Swarm Networks Routing -- 3.1. Introduction of Intelligent UAV Swarm Networks Routing -- 3.2. Evolutionary Game based Dynamic Routing in UAV Swarm Networks -- 3.3. Cooperative Learning based Dynamic Routing UAV Swarm Networks -- 3.4. Multi-agent Reinforcement Learning aided UAV Swarm Routing -- 4. On-demand UAV Network Resource Scheduling -- 4.1. Introduction of UAV Network Resource Scheduling -- 4.2. Graph Transformer Aided Resource Virtualization Embedding -- 4.3. Privacy-Driven Security-Aware Task Scheduling in Swarm Network -- 4.4. Stackelberg Game-Based Offloading Strategy for Swarm Networks -- 5. Semantic Communication Empowered UAV Swarm Networks -- 5.1. |
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Introduction of Semantic Communication -- 5.2. Semantic Communication Aided UAV Swarm Networks -- 5.3. Incentive Semantic-aware UAV Swarm Networks Coordination -- 6. Federated Learning empowered UAV Swarm Networks -- 6.1. Introduction of Federated Learning -- 6.2. Clustered Federated Learning in Heterogeneous UAV Swarms Networks -- 6.3. Automatic Auction for Federated Learning in UAV Swarms Networks -- 7. Deterministic Networking Empowered UAV Swarm -- 7.1. Introduction of Deterministic Networking -- 7.2. Learning-Based Deterministic Traffic Scheduling for UAV Swarm -- 7.3. Hierarchical Scheduling Mechanism for Deterministic Traffic for UAV Swarm -- 8. Conclusions. |
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Sommario/riassunto |
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This book provides a comprehensive examination of Unmanned Aerial Vehicles (UAV) swarm collaboration from a networking perspective. It systematically analyzes key components such as network topology construction, efficient routing algorithms and resource management strategies. The second chapter addresses adaptive clustering and dynamic network planning, enabling UAV swarms to adjust their topologies and maintain robust structures in fluctuating environments. The third chapter introduces intelligent routing algorithms designed to optimize network resilience and performance metrics, including lifetime, packet delivery rate and throughput. Chapter four investigates resource scheduling challenges proposing virtualization-based strategies for the optimal allocation of computational and communication resources. Chapters five through seven discuss the opportunities and challenges posed by emerging network technologies. It includes encompassing semantic communication for enhanced data transfer efficiency, the application of distributed learning techniques (e.g., federated and reinforcement learning) for intelligent UAV swarm networks and deterministic networking approaches that ensure low-latency, reliable control in UAV precision-critical operations. Overall, this book serves as an authoritative reference that integrates state-of-the-art technologies and algorithmic designs to address the multifaceted challenges and opportunities in UAV swarm networks. It’s designed for advanced-level students, professors, engineers, and researchers learning and working in the fields of the loT Networks. Industry managers, partitioners and government research agencies working in this field will also find this book a useful reference. |
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