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Computer Science
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Article
Robust maximum correlation entropy Kalman filtering algorithm based on S-functions under impulse noise
The impulse noise is heavy-tailed and distributed, which is common in many real-world scenarios of automatic control and target tracking. In order to improve the stability of Kalman filtering algorithms in the...
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Open AccessCycling into the workshop: e-bike and m-bike mobility patterns for predictive maintenance in Barcelona’s bike-sharing system
Bike-sharing systems have emerged as a significant element of urban mobility, providing an environmentally friendly transportation alternative. With the increasing integration of electric bikes alongside mecha...
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Open AccessSystematizing modeler experience (MX) in model-driven engineering success stories
Modeling is often associated with complex and heavy tooling, leading to a negative perception among practitioners. However, alternative paradigms, such as everything-as-code or low-code, are gaining acceptance...
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Open AccessWhy the use of domain-specific modeling in airworthy software requires new methods and how these might look like? (extended version)
The use of domain-specific modeling (DSM) in safety-critical avionics is rare, even though the ever-increasing complexity of avionics systems makes the use of DSM reasonable. DSM shows its advantage especially...
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Interactive search-based Product Line Architecture design
Software Product Line (SPL) is an approach derived from other engineering fields that use reuse techniques for a family of products in a given domain. An essential artifact of SPL is the Product Line Architect...
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Open AccessVergleich der Umsetzungsoptionen für Steuersysteme im Verbund im Energiesektor: Sicherheitsanforderungen, Effizienz und Wirksamkeit auf zentraler und dezentraler Ebene
Der stetige Wandel von einer auf fossilen Rohstoffen basierenden Energieversorgung hin zu einer Versorgung auf Basis erneuerbarer Energien dient u. a. dem Ziel der Reduzierung des Kohlenstoffdioxidausstoßes. D...
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Some constacyclic BCH codes with good parameters
BCH codes as a subclass of constacyclic BCH codes have been widely studied, while the results on the parameters of BCH codes over finite fields are still very limited. In this paper, we investigate some q-ary BCH...
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A single-wavelength laser relaxation spectroscopy-based machine learning solution for apple mechanical damage detection
Detecting and mitigating mechanical damage in apples during picking and transportation is a critical concern in the agricultural industry. This paper investigates the optimization of a pattern recognition mode...
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A novel kernel filtering algorithm based on the generalized half-quadratic criterion
In this work we combine the kernel method and the generalized half-quadratic criterion, and a kernel adaptive filtering algorithm is proposed based on the generalized half-quadratic criterion (KLGHQC). The gen...
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Uncertainty analysis in acoustics: perturbation methods and isogeometric boundary element methods
This study proposes a generalized nth-order perturbation method based on (isogeometric) boundary element methods for uncertainty analysis in 3D acoustic scattering problems. In this paper, for the first time, we ...
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A quantized minimum kernel risk hyperbolic secant adaptive filtering algorithm
The proposed algorithm in this paper is the quantized minimum kernel risk hyperbolic secant adaptive filtering algorithm, which offers a simplified approach to enhancing the performance and stability of kernel...
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Human factors in model-driven engineering: future research goals and initiatives for MDE
Software modelling and model-driven engineering (MDE) is traditionally studied from a technical perspective. However, one of the core motivations behind the use of software models is inherently human-centred. ...
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Open AccessWhen large language models meet personalization: perspectives of challenges and opportunities
The advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model parameters, the capability of large language models has bee...
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Open AccessLExCI: A framework for reinforcement learning with embedded systems
Advances in artificial intelligence (AI) have led to its application in many areas of everyday life. In the context of control engineering, reinforcement learning (RL) represents a particularly promising appro...
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Open AccessOne-way ticket to the moon? An NLP-based insight on the phenomenon of small-scale neo-broker trading
We present an Natural Language Processing based analysis on the phenomenon of “Meme Stocks”, which has emerged as a result of the proliferation of neo-brokers like Robinhood and the massive increase in the num...
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Open AccessMissed opportunities for AI governance: lessons from ELS programs in genomics, nanotechnology, and RRI
Since the beginning of the current hype around Artificial Intelligence (AI), governments, research institutions, and the industry invited ethical, legal, and social sciences (ELS) scholars to research AI’s soc...
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Open AccessNon-numerical weakly relational domains
The weakly relational domain of Octagons offers a decent compromise between precision and efficiency for numerical properties. Here, we are concerned with the construction of non-numerical relational domains. We ...
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A lightweight method for apple-on-tree detection based on improved YOLOv5
After apple fruit maturation, the optimal harvest period is short, and the picking robot is expected to improve harvesting efficiency. While it is common for apples to be overlapped and occluded by branches an...
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From ideas to ventures: building entrepreneurship knowledge with LLM, prompt engineering, and conversational agents
Entrepreneurship education has evolved to meet the demands of a dynamic business environment, necessitating innovative teaching methods to prepare entrepreneurs for market uncertainties. Large Language Models ...
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CHWmaster: mastering Chinese handwriting via sliding-window recurrent neural networks
Empowering machines to own the capability of writing texts as human beings has been a long-standing goal in the community. The task is challenging due to the complexity of human handwriting behaviors when writ...
