Swarm-based algorithms emerged as a powerful family of optimization techniques, inspired
by the collective behavior of social animals. In particle swarm optimization (PSO) the set of …

This paper examines a variety of theories bearing on 'socio-material incumbency'and
explores methodological implications. The aim is to develop a systematic general approach …

Motivated by the substantial achievements of Large Language Models (LLMs) in the field of
natural language processing, recent research has commenced investigations into the …

Knowledge-based Configuration incorporates knowledge representation formalisms to
capture complex product models and reasoning methods to provide intelligent interactive …

Resource allocation systems (RASs) belong to a kind of discrete event system commonly
seen in the industry. In such systems, available resources are allocated to concurrently …

Depressions (or pits) are areas within a digital elevation model that are surrounded by
higher terrain, with no outlet to lower areas. Filling them so they are level, as fluid would fill …

Recent building emergency management research has highlighted the need for the effective
utilization of dynamically changing building information. BIM (building information …

In this paper, learning a Bayesian network structure that optimizes a scoring function for a
given dataset is viewed as a shortest path problem in an implicit state-space search graph …

Unsupervised paraphrase generation is a promising and important research topic in natural
language processing. We propose UPSA, a novel approach that accomplishes …

Tactile Internet with Human-in-the-Loop describes the change from the current Internet,
which focuses on the democratization of information independent of location or time, to the …