Machine Learning and Intelligent Communications [[electronic resource] ] : 4th International Conference, MLICOM 2019, Nanjing, China, August 24–25, 2019, Proceedings / / edited by Xiangping Bryce Zhai, Bing Chen, Kun Zhu |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (xvi, 795 pages) |
Disciplina | 006.31 |
Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
Soggetto topico |
Computer communication systems
Artificial intelligence Computers Computer simulation Computer Communication Networks Artificial Intelligence Information Systems and Communication Service Simulation and Modeling |
ISBN | 3-030-32388-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Wireless Networks -- High-Dimensional Data Anomaly Detection Framework Based on Feature Extraction of Elastic Network -- A Drone Formation Transformation Approach -- The principle and design of Separate fingerprint identification system LTE antenna port number detection algorithm based on channel estimation and piecewise linear regression -- Topology Sensing in Wireless Networks by Leveraging Symmetrical Connectivity -- Multi-destination two-hop untrusted AF relay networks with destination-aided cooperative jamming -- Secrecy Sum Rate for Two-way Untrusted Relay in SCMA Networks -- Improving complex network controllability via link prediction -- Communications -- Rectangular waveguide design optimization by sequential nonlinear programming and genetic algorithm -- Noise Reduction in Network Embedding -- Indoor localization Based on Centroid Constraints of AP Quadrilateral Networks -- Partially Overlapping Channel Selection in Jamming Environment: A Hierarchical Learning Approach -- A Q-Learning-based Channel Selection and Data Scheduling Approach for High-frequency Communications in Jamming Environment -- RFID Indoor Location Based on Optimized Generalized Regression Neural Network -- Beacon in the Air: Optimizing Data Delivery for Wireless -- Energy Powered UAVs -- Power Optimization in Wireless Powered based Mobile -- Edge Computing -- Big Data and Internet of Things -- Predicting Socio-economic Levels of Individuals via App -- Usage Records -- Multiple Task Assignment for Cooperating Homogeneous -- Unmanned Aerial Vehicles -- Design of Overall Framework of Self-Service Big Data -- Governance for Power Grid -- Data cleaning Based on Multi-sensor Spatiotemporal Correlation -- Distributed Hierarchical Fault Diagnosis Based on Sparse Auto-encoder and Random Forest -- A Data Quality Improvement Method Based on the Greedy Algorithm -- Research of Lightweight Encryption Algorithm Based on AES and Chaotic Sequences for Narrow-Band Internet of Things -- Energy Efficiency Maximization for Green Cognitive Internet of Things with Energy Harvesting -- Smart Internet of Things -- A smart wearable device for preventing indoor electric shock hazards -- A VLP approach based on a single LED lamp -- A Method of Calculating the Semantic Similarity between English and Chinese Concepts -- A Bicycle-borne Sensor Node for Monitoring Air Pollution based on NB-IoT -- Power Beacons Deployment in Wireless Powered Communication with Truncated Poisson Cluster Process -- Mobile Edge Computing-Enabled Resource Allocation for Ultra-Reliable and Low-Latency Communications -- A Bayesian Method for Link Prediction with Considering Path Information -- Identifying sources of random walk-based epidemic spreading in networks -- Design of intelligent lighting system for office workplace based on ZigBee Technology -- Machine Learning -- Active Sampling Based on MMD for Model Adaptation -- Optimal Dwell Time for Frequency Hopping in a Stackelberg Game with a Smart Jammer -- An Active Noise Correction Graph Embedding Method -- Applications of Machine Learning -- Trajectory Data for Demand Analysis -- Reinforcement Learning for HEVC Screen Content Intra. |
Record Nr. | UNINA-9910349269103321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Sustainability and Evidence-Based Design in the Healthcare Estate [[electronic resource] /] / by Michael Phiri, Bing Chen |
Autore | Phiri Michael |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (286 p.) |
Disciplina |
690.551
725/.51 |
Collana | SpringerBriefs in Applied Sciences and Technology |
Soggetto topico |
Buildings—Design and construction
Building Construction Engineering, Architectural Energy efficiency Health administration Building Construction and Design Energy Efficiency Health Administration |
ISBN | 3-642-39203-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- A Review of Design Approaches + Strategies -- A Review of Healthcare Technical Guidance/Standards, Norms and Tools -- Case Studies: Design Practice and Application of Healthcare Technical Guidance and Tools -- Emerging Issues -- Conclusions. |
Record Nr. | UNINA-9910299732603321 |
Phiri Michael
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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