LEADER 01572nam 2200397Ia 450 001 9910697390503321 005 20150827120640.0 035 $a(CKB)5470000002387023 035 $a(OCoLC)286832159 035 $a(EXLCZ)995470000002387023 100 $a20081216d2007 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Charles River, eastern Massachusetts$b[electronic resource] $escientific information in support of environmental restoration /$fby Peter K. Weiskel ; prepared in cooperation with the Massachusetts Executive Office of Environmental Affairs 210 1$a[Reston, Va.] :$c[U.S. Geological Survey],$d[2007] 215 $a12 pages $cdigital, PDF file 225 1 $aGeneral information product ;$v47 300 $aTitle from title screen (viewed on Dec. 15, 2008). 320 $aIncludes bibliographic references (pages 11-12). 517 $aCharles River, eastern Massachusetts 606 $aRestoration ecology$zMassachusetts$zCharles River Watershed 606 $aEnvironmental protection$zMassachusetts$zCharles River Watershed 615 0$aRestoration ecology 615 0$aEnvironmental protection 700 $aWeiskel$b Peter K$01401116 712 02$aMassachusetts.$bExecutive Office of Environmental Affairs. 712 02$aGeological Survey (U.S.) 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910697390503321 996 $aThe Charles River, eastern Massachusetts$93502979 997 $aUNINA LEADER 06776nam 22007095 450 001 9910882898503321 005 20251225202110.0 010 $a9789819771844$b(electronic bk.) 010 $z9789819771837 024 7 $a10.1007/978-981-97-7184-4 035 $a(MiAaPQ)EBC31608962 035 $a(Au-PeEL)EBL31608962 035 $a(CKB)34118597600041 035 $a(DE-He213)978-981-97-7184-4 035 $a(OCoLC)1453194988 035 $a(EXLCZ)9934118597600041 100 $a20240821d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Swarm Intelligence $e15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23?26, 2024, Proceedings, Part II /$fedited by Ying Tan, Yuhui Shi 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (464 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14789 311 08$aPrint version: Tan, Ying Advances in Swarm Intelligence Singapore : Springer,c2024 9789819771837 327 $a -- Route Planning Problem. -- Solving the Traveling Salesman Problem for Efficient Route Planning through Swarm Intelligence Based Optimization. -- An Improved Genetic Algorithm for Vehicle Routing Problem with Time Window Requirements. -- Automated Planning and Scheduling with Swarm Intelligence. -- Grouping and Angle Partitioning-Based Coverage Path Planning for Swarm Robots Using Only Local Communication. -- A Hyper-heuristic Algorithm Based on Q-learning for 3D Drone Trajectory Planning. -- Machine Learning. -- Robust Heterogeneous Federated Learning via Data-Free Knowledge Amalgamation. -- Efficient Multilevel Spatial Co-location Pattern Discovery Based on Density-wise Clustering and MC-Hash Structure. -- Multiple Machine Learning Methods with Correlation Analysis for Short-term River Water Quality Prediction. -- FGFL: Fine-Grained Federated Learning based on Neural Architecture Search for Heterogeneous Clients. -- Federated Neural Architecture Search with Hierarchical Progressive Acceleration for Medical Image Segmentation. -- IS-SQL: Knowledge-Enhanced In-Context Learning and Self Correction of Text-to-SQL. -- Research on the Operation Strategy of S Internet Hospital Based on Business Intelligence. -- Complex Network-based Decision-making Analysis of Strikes on Important Nodes of a Typical Kill Chain. -- Pixel Importance-based Transfer Adversarial Attack. -- Data-Driven Intervention Strategies for Mitigating Illegal Wildlife Trade: A Case Study of the United States. -- Detection and Prediction. -- Lung Nodule Detection Based on Spike-driven Self-attention YOLO. -- Unsupervised Microservice Log Anomaly Detection Method Based on Graph Neural Network. -- Deep Learning-based Customer Lifetime Value Prediction in Imbalanced Data Scenarios: A Case Study. -- Improving the Accuracy of Predictive Models in Imbalanced Lung Cancer Data. -- Classification. -- Multimodal Imaging Classification Based on Mixture Model Networks. -- Confidence-guided online knowledge distillation for semi-supervised medical image classification. -- Research on classification method of construction laws and regulations data. -- Identity Authentication Methods Based on User Profiling. -- Automatic Hyperspectral Image Clustering using Qutrit Differential Evolution. -- Comparative Evaluation of Classification Techniques for Predicting Risk and Recurrence of Thyroid Disorders. -- Edge Computing. -- Hierarchical Diffusion Teaching-learning-based Optimizer with Variational Autoencoder for Mobile Edge Computing System Optimization. -- ESEC: A New Edge Server Selection Algorithm under Muiti-access Edge Computing. -- Edge Dynamic Service Offloading Based on Multi-Agent Deep Q Learning. -- Modeling and Optimization. -- New Design Algorithm: Interactive-Generative Product Design for Shape Generation and Optimization. -- Designing a Social Network Framework Utilizing New Swarm and P2P Technologies for Application in Office Automation. -- Research on the basic combat round model of over-the-horizon air combat. -- An Offline Modeling Approach to Air Combat Maneuvering Policy. -- Neural Network Algorithm for Solving Nonlinear Equation Systems. -- Heart Failure Mortality Prediction: A Comparative Study of Predictive Modeling Approaches. -- Analysis of Review. -- Convolutional Neural Networks in Medical Imaging: A Review. -- A review of the analysis and evaluation of air combat situation and decision-making methods. -- Analyzing the Online Reviews to Explore Recent Trends of the U.S. Automotive Industry by Latent Dirichlet Allocation Method. 330 $aThis two-volume set LNCS 14788 and 14789 constitutes the refereed post-conference proceedings of the 15th International Conference on Advances in Swarm Intelligence, ICSI 2024, held in Xining, China, during August 23?26, 2024. The 74 revised full papers presented in these proceedings were carefully reviewed and selected from 156 submissions. The papers are organized in the following topical sections: Part I - Particle swarm optimization; Swarm intelligence computing; Differential evolution; Evolutionary algorithms; Multi-agent reinforcement learning & Multi-objective optimization. Part II - Route planning problem; Machine learning; Detection and prediction; Classification; Edge computing; Modeling and optimization & Analysis of review. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14789 606 $aComputer science 606 $aComputer engineering 606 $aComputer networks 606 $aMachine learning 606 $aComputer science$xMathematics 606 $aComputational intelligence 606 $aTheory of Computation 606 $aComputer Engineering and Networks 606 $aMachine Learning 606 $aMathematics of Computing 606 $aComputational Intelligence 615 0$aComputer science. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aMachine learning. 615 0$aComputer science$xMathematics. 615 0$aComputational intelligence. 615 14$aTheory of Computation. 615 24$aComputer Engineering and Networks. 615 24$aMachine Learning. 615 24$aMathematics of Computing. 615 24$aComputational Intelligence. 676 $a004.0151 700 $aTan$b Ying$0846863 701 $aShi$b Yuhui$0907797 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910882898503321 996 $aAdvances in Swarm Intelligence$94209767 997 $aUNINA