Hence, the proposed system introduces Optimized Clustering with Statistical Based local Model (OCSLM) in order to address this problem. A simple and yet cost effective machine-learning based optimization principle is presented which offers the capability to minimize the errors in mined data and ...
The study in93introduces a stochastic blockchain-based energy management system that utilizes vehicle-to-grid (V2G) and vehicle-to-storage (V2S) technologies to optimize energy distribution in smart cities. The integration of blockchain ensures secure and transparent transactions, enhancing the reliabili...
In this work, we develop a machine-learning-based framework to map both overhead and underground distribution grids using widely-available multi-modal data including street view images, road networks, and building maps. Benchmarked against the utility-owned distribution grid map in California, our ...
neighborhood merging module, which yields representations for our point-based versions of state-of-the-art segmentation heads. Experiments show that our AutoFocusFormer (AFF) improves significantly over baseline models of similar sizes. Related readings and updates. Fast Class-Agnostic Salient Object Segm...
Hybrid-fl: cooperative learning mechanism using non-iid data in wireless networks. CoRR. 2019. Briggs C, Fan Z, Andras P. Federated learning with hierarchical clustering of local updates to improve training on non-iid data. 2020. arXiv:2004.11791 [CoRR abs]. Wang H, Kaplan Z, Niu D, Li...
In this research paper, we present some of the grid based methods such as CLIQUE (CLustering In QUEst) [2], STING (STatistical INformation Grid) [3], MAFIA (Merging of Adaptive Intervals Approach to Spatial Data Mining) [4], Wave Cluster [5]and O-CLUSTER (Orthogonal partitioning CLUSTERing...
As MPP style of processing on large in-memory data sets becoming a new “norm” these customers are rightly looking for advanced clustering, ACID distributed transactions, complex SQL optimizations, various forms of MapReduce – all with deep sub-second SLAs – as well as many other features. ...
.clustering() .cachemode(cachemode.dist_sync) .hash().numowners(2) .build() declarative configuration: edit the infinispan.xml file to include the following xml code to declaratively configure the cache for distributed mode (either synchronous or asynchronous)...
Grid-based clustering is particularly appropriate to deal with massive datasets. The principle is to first summarize the dataset with a grid representation, and then to merge grid cells in order to obtain clusters. All previous methods use grids with...
Robust modified passive islanding detection for microgrids using mathematical morphology based dual algorithm Article Open access 20 February 2025 Adaptive grid resilient based protection method for multi fault scenarios in medium voltage quintuple DC microgrid system Article Open access 12 February 2025...