This section aims to define some new MM, WMM, DMM, DWMM operators, and valuable properties in the framework of Cq-ROFS. Cq-ROFS is a more effective, reliable, and flexible way of modeling complex and uncertain information when \(\mathbb{D}\)…
Category: 7. Maths
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Explainable artificial intelligence for predicting medical students’ performance in comprehensive assessments
Bird, J. B., Olvet, D. M., Willey, J. M. & Brenner, J. M. A generalizable approach to predicting performance on USMLE Step 2 CK. Adv Med Educ Pract. 13, 939–944 (2022).
Google…
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Positive–negative prototypes fusion framework for open set recognition
This section will detail the proposed positive–negative prototype fusion framework for addressing the OSR problem. The framework mainly consists of two phases: training and test. Fig. 2 shows the training pipeline of the proposed method, and…
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Value chain optimization in large scale gas network considering elevation and transmission direction
Sequential linear programming
The NOP includes both nonlinear terms and integer variables, and in the real-world problem, the network scale is often large. Using general nonlinear programming solvers makes it difficult to solve the NOP within a…
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Deep learning-driven insights into the transmission dynamics of hepatitis B virus with treatment
This section present a brief analysis of the Caputo HBV model (2). We proceed with the evaluation of steady state and stability of the model.
Model equilibria
The endemic and disease-free equilibrium associated with the hepatitis B virus model 2 is…
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De-speckling of medical ultrasound image using metric-optimized knowledge distillation
This section describes the methodology of our proposed knowledge distillation framework for despeckling and enhancing medical images. This framework leverages the strengths of Convolutional Neural Networks (CNNs) and knowledge distillation to…
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Semantic ECG hash similarity graph
The focus of this section lies on the proposed architecture for similarity reconstruction based on semantic hash. Once the global graph is generated, it is forwarded to fast GCN for efficient ECG detection. The entire process is depicted in…
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Leveraging self attention driven gated recurrent unit with crocodile optimization algorithm for cyberattack detection using federated learning framework
This paper develops a novel SAMFL-SCDCOA model. The main objective of the model is to provide an effective method for preventing cyberattacks in real time using FL and advanced optimization models. The SAMFL-SCDCOA technique accomplishes this…
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Enhancing game outcome prediction in the Chinese basketball league through a machine learning framework based on performance data
Research design
This study adopts an Ex Post Facto research design, which is appropriate for analyzing naturally occurring data without manipulating any variables. Since all data used in this study—such as game results, team performance…
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An improved lightweight method based on EfficientNet for birdsong recognition
Data resources
The study employed two publicly available datasets: the BirdsData dataset, released by BirdsData Technology, and the World’s Wild Bird Sounds dataset obtained from the Xeno-canto website (https://xeno-canto.org). We acquired…
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