Abstract: This letter presents an efficient design technique for optimizing parameters on antenna designs by using a heuristic single core sampling inertia-weight-enhanced particle swarm optimization ...
Abstract: Data augmentation is crucial for addressing insufficient training data, especially for augmenting positive samples. However, existing methods mostly rely on neural network-based feedback for ...
Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...
DoiT, a global leader in enterprise-grade FinOps and CloudOps solutions, is acquiring SELECT, a data optimization company purpose-built to help organizations gain visibility and control over data ...
The query optimizer is a crucial component in a relational database system and is responsible for finding a good execution plan for a SQL query. For cloud database service providers, the importance of ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Search is changing faster than ever – and 2026 may be the year it fully breaks from the past. Over the last year, AI has reshaped how people discover, decide, and convert, collapsing the traditional ...
If I remove the OR condition inside the parhentesis works. My first thought is to debug the execution and at a certain point the query is "flatten". Not sure why, maybe for index optimization? In the ...
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