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15641
The Principles of Examination of Patients with Detected Melanoma Suspected Skin Neoplasm in the Primary Health Care Stage
Published 2022-03-01“…The significance of the criteria of the ABCDE algorithm, the “Argenziano” algorithm in the study of pigmented skin lesions with further analysis of the results by artificial intelligence for decision-making is discussed.…”
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15642
Modelling maintenance scheduling strategies for highway networks.
Published 2022-01-01“…A simulated annealing algorithm and augmented Lagrange algorithm are employed to solve the two proposed models, respectively. …”
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15643
Computer Course Design Plan for Film and Television Media Major
Published 2023-01-01“…In view of the excellent global optimization ability of GA and the defects of the BP algorithm itself, this work adopts the improved GA algorithm to optimize the BP network, and establishes an IGA-BP network combination model with higher prediction accuracy. …”
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15644
Dynamic scheduling strategies for cloud-based load balancing in parallel and distributed systems
Published 2025-07-01“…The Least Response Time (LRT) technique for the Load Monitoring procedures will be developed once the job scheduling is complete. The Harmony Search Algorithm with Linear Regression (LR-HSA) is then used to do Distributed Computing-based Load Prediction and Adjustment. …”
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15645
The Evolution of the Idiolect over the Lifetime: A Quantitative and Qualitative Study of French 19th Century Literature
Published 2022-09-01“…After applying a feature selection algorithm, we examined the most important features, i.e. the motifs that have the greatest influence on idiolectal evolution. …”
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15646
Analysis of Encrypted Network Traffic for Enhancing Cyber-security in Dynamic Environments
Published 2024-12-01“…Yet, it is equally important to predict and prevent any cyber-attacks that may compromise the integrity and security of the network infrastructure. …”
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15647
The regulation of ant colony foraging activity without spatial information.
Published 2012-01-01“…The algorithm draws on our finding that the distribution of intervals between successive ants returning to the nest is a Poisson process. …”
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15648
Experiential space analysis: scoring tranquil, social, and explorative places in habitable buildings
Published 2025-06-01“…We observe that human evaluators tend to assume relatively uniform experiential qualities within each space of each apartment, whereas our algorithm often predicts a gradient of highly tranquil, social, and explorative places even within the same room. …”
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15649
An Energy-Domain IR NUC Method Based on Unsupervised Learning
Published 2025-01-01“…The maximum change in the image corrected using the proposed algorithm was 1.29%.…”
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15650
Modelling the Shear-Tension Coupling of Woven Engineering Fabrics
Published 2013-01-01“…Finally, the effectiveness of the method is evaluated and shown to provide qualitatively good predictions.…”
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15651
Modelling of organizational and technological operation reliability of excavator sets
Published 2017-08-01“…This authors propose an algorithm for estimating the operation reliability of complexes, sets and separate machines using statistical information based on the results od full-scale tests or modeling of their operation by Monte Carlo`s method. …”
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15652
LOGIC SIMULATION OF LIFE SUPPORT SYSTEM COMPONENT IN REAL TIME
Published 2016-07-01“…The article proposed the use of simulation methods for evaluating the effectiveness of a stepped fan engine speed control while maintaining the air flow volume in the set boundaries of the «fan-filter» system. A detailed algorithm of the program made on the basis of an Any Logic software package. …”
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15653
A recurrent sigma pi sigma neural network
Published 2025-01-01“…Abstract In this paper, a novel recurrent sigma‒sigma neural network (RSPSNN) that contains the same advantages as the higher-order and recurrent neural networks is proposed. The batch gradient algorithm is used to train the RSPSNN to search for the optimal weights based on the minimal mean squared error (MSE). …”
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15654
Message forwarding based on periodically evolving social characteristics in opportunistic mobile networks
Published 2015-03-01“…Moreover, a social-aware routing algorithm, PerEvo, was then designed based on them. …”
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15655
Apple Variety Identification Using Near-Infrared Spectroscopy
Published 2018-01-01“…Especially, the SPA-ELM model could reach 98.33% identification accuracy on the calibration set and 96.67% on the prediction set. This study suggests that it is feasible to identify apple variety and cultivation region by using NIR spectroscopy.…”
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15656
A Penalized Orthogonal Kriging Method for Selecting a Global Trend
Published 2025-04-01“…Furthermore, an efficient algorithm is given to select the correct mean function. …”
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15657
Imaging in Patients with Merkel Cell Carcinoma
Published 2013-01-01“…Accurate assessment of nodal involvement in patients with MCC predicts significantly overall outcome (Smith et al., 2012 and Ortin-Perez et al., 2007). …”
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15658
Variable Speed Limit Strategies Based on the Macro Hierarchical Control Traffic Flow Model
Published 2021-01-01“…A solution algorithm is further developed to find the optimal parameters of VSL by minimizing the total travel time and delay. …”
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15659
Clinical Pathways Guided by Remotely Monitoring Cardiac Device Data: The Future of Device Heart Failure Management?
Published 2023-04-01“…As standalone diagnostic tools, individual physiological metrics and algorithm-based systems have demonstrated utility in predicting future events, but the integration of remote monitoring data with existing clinical care pathways for device HF patients is not well described. …”
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15660
Improving Accuracy and Calibration of Deep Image Classifiers With Agreement-Driven Dynamic Ensemble
Published 2025-01-01“…Possible strategies to tackle this problem are two-fold: (i) models need to be highly accurate, consequently reducing this risk of failure; (ii) facing the impossibility of completely eliminating the risk of error, the models should be able to inform the level of uncertainty at the prediction level. As such, state-of-the-art DL models should be <italic>accurate</italic> and also <italic>calibrated</italic>, meaning that each prediction has to codify its confidence/uncertainty in a way that approximates the true likelihood of correctness. …”
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