The following section presents a critical review of literature addressing load profile forecasting at charging stations, demand-side management, and path planning optimization.
Load profile forecasting
Focusing on the short-term load forecasting of…
Category: 7. Maths
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A decision-support framework for evaluating AI-enabled ESG strategies in the context of sustainable manufacturing systems
This paper outlines the materials and method applied in using a framework of fuzzy TOPSIS-based multi-criteria decision-making to evaluate the ESG performance of organizations. Generally, in the approach of this research, tackling complexities…
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A lightweight and secure authentication and privacy protection scheme for internet of medical things
In this section, we examined the working methods, applications, and research limits of current schemes. As a result of the advent of the digital age, numerous industries have been presented with an abundance of opportunities and innovations,…
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Label efficient phenotyping for Long COVID using electronic health records
Study design and setting
The overall workflow (Fig. 4) includes cohort curation of patients with COVID-19 from two healthcare systems, the development and validation of the proposed phenotyping algorithm, followed by an illustrative downstream…
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Shared genetic architecture between eating disorders, mental health conditions, and cardiometabolic diseases: a comprehensive population-wide study across two countries
Stice, E., Nathan Marti, C. & Rohde, P. Prevalence, incidence, impairment, and course of the proposed DSM-5 eating disorder diagnoses in an 8-year prospective community study of young women. J. Abnorm. Psychol. 122, 445–457 (2013).
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Intelligent data-driven system for mold manufacturing using reinforcement learning and knowledge graph personalized optimization for customized production
Traditional knowledge graphs are static and thus have difficulty adapting to the rapidly changing conditions of production environments. To address this limitation, this section proposes a dynamic optimization framework that incorporates…
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Generation and characteristics analysis of the overhand knot using co-screw as gene
In the case of a co-screw with a \(360^{\circ }\) rotation, different open endpoint connections will generate different results. It becomes evident that, there are distinct and relative characteristics that differentiate the overhand knot,…
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Fast and accurate RFD-like descriptor approximation for SIMD architectures
The main idea of our method is to use additions and subtractions instead of computationally expensive operation atan2(x, y) and square root (see Eq (1) and Eq (2)) used in classic RFD algorithm because these mathematical operations are well…
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A hybrid self attentive linearized phrase structured transformer based RNN for financial sentence analysis with sentence level explainability
This section details datasets used in this experiment, each model’s theoretical foundation, operational principles, evaluation metrics and relevance to the research objectives, focusing on their application in financial sentiment analysis. To…
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Enhancing smart city sustainability with explainable federated learning for vehicular energy control
EMS is an integral part of improving the fuel economy of both traditional HEVs and PHEVs, which have drawn the attention of many researchers38,39,40. Nevertheless, the current studies mainly focus on the optimization methods towards how to…
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