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Energy Aware Cluster Based Routing Algorithm for Optimal Routing and Fault Tolerance in Wireless Sensor Networks
In order to prevent the overloading, the routing algorithm aids in building productive paths both within and between clusters. When sending...
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Optimal Stable Cluster Head Selection Method for Maximal Throughput and Lifetime of Homogeneous Wireless Sensor Network
The previously reported works e.g., E-LEACH, and RCH-LEACH have proposed energy-efficient CH selection methods with coverage enhancement and varying...
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A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size
This study constructs two general fuzzy clustering algorithms with a cluster size controller. The first algorithm includes the standard fuzzy...
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Cluster Keys
Cluster keys go hand in hand with micro-partitions. It may not be evident that all object micro-partitions have a cluster key, but they do....
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Cluster knowledge-driven vertical federated learning
In industrial scenarios, cross-departmental collaboration is necessary to achieve quality traceability. However, data cannot be shared due to privacy...
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Modification-fair cluster editing
The classic Cluster Editing problem (also known as Correlation Clustering ) asks to transform a given graph into a disjoint union of cliques...
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FRHO: Fuzzy rule-based hybrid optimization for optimal cluster head selection and enhancing quality of service in wireless sensor network
The applications based on Wireless Sensor Network-enabled Internet of Things (IoT) are gaining more interest in civic and research communities. In...
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Network Size Reduction Preserving Optimal Modularity and Clique Partition
Graph clustering and community detection are significant and actively develo** topics in network science. Uncovering community structure can...
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Micro-YOLO+: Searching Optimal Methods for Compressing Object Detection Model Based on Speed, Size, Cost, and Accuracy
Convolutional neural networks play a great role in solving the problem of object detection. However, conventional object detection models, such as...
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Structural Parameterization of Cluster Deletion
In the weighted Cluster Deletion problem we are given a graph with non-negative integral edge weights and the task is to determine, for a target...
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MySQL InnoDB Cluster and ClusterSet
MySQL InnoDB Cluster Set is primarily used for disaster recovery scenarios where it provides disaster recovery tolerance for a MySQL InnoDB Cluster...
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Adaptive load balancing in cluster computing environment
Owing to the availability of high computing servers and clusters to process the data, factors such as data skewness, class imbalance, and scalability...
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Multi-objective Unequal Optimal Clustering Algorithm for WSN Using Fuzzy Logic
A wireless sensor network (WSN) is a network of sensors deployed in a specific area to monitor environmental characteristics. The primary objective...
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A Method of Pathing for Underwater Glider Cluster Based on Optimization Algorithm
Underwater gliders have become one of the iconic technologies in ocean environmental monitoring, which relies on adjusting buoyancy to achieve...
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A meta-heuristics based framework of cluster label optimization in MR images using stable random walk
Cluster labeling is a problem of finding optimal clusters by maximizing the similarity within clusters. Generally, classical optimization methods are...
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Towards Enhanced Energy Aware Resource Optimization for Edge Devices Through Multi-cluster Communication Systems
In the realm of the Internet of Things (IoT), the significance of edge devices within multi-cluster communication systems is on the rise. As the...
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Cluster-aware scheduling in multitasking GPUs
The streaming multiprocessor (SM) count in GPUs continues to increase to provide high computing power. To construct a scalable crossbar network that...
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Advancing VANET stability: enhanced cluster head selection with iTTM and weighted CRITIC
Vehicle ad hoc networks (VANETs) have garnered considerable attention for their potential to enhance road safety and facilitate advanced driver...
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Cluster-Based Optimization Method for Delivery Networks
Traditional logistics scheduling, which heavily relies on experienced personnel, can be time-consuming and prone to oversights, issues that are...
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Improved Genetic Algorithm Based k-means Cluster for Optimized Clustering
The Human Freedom Index (HFI) is an annual evaluation that measures a variety of factors, such as the rule of law, security, religion, expression,...