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3581
Probabilistic models for evaluating network edge's resistance against scan and foothold attack
Published 2024-12-01“…To overcome this limitation, this paper constructs probabilistic models for evaluating network edge's resistance against SFANE. …”
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3582
Performance Evaluation of an Object Management Policy Approach for P2P Networks
Published 2012-01-01Get full text
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3583
Comparative evaluation of pseudonym-based anonymisation techniques for connected autonomous vehicles (CAVs)
Published 2025-02-01“…., anonymity and unlinkability) and computing efficiency of the solutions designed to address security and privacy aspects. …”
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3584
A Student-Centric Evaluation Survey to Explore the Impact of LLMs on UML Modeling
Published 2025-07-01“…The generated diagrams were then synthesized using PlantUML and evaluated through a rigorous survey involving 121 computer science and software engineering students across three U.S. universities. …”
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3585
A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction
Published 2025-06-01Get full text
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3586
Evaluation of Color Difference Models for Wide Color Gamut and High Dynamic Range
Published 2024-12-01Get full text
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3587
Radiodiagnosis of osteonecrosis of the mandible following radiation therapy
Published 2016-09-01“…X-ray studies established that when evaluating the bone tissue, multislice computed tomography (MSCT) and cone-beam computed tomography (CBCT) were comparable in their diagnostic efficiency; however, MSCT was of greater informative value for the detection of soft tissue changes. …”
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3588
Comparing Large Language Models and Human Programmers for Generating Programming Code
Published 2025-02-01“…Abstract The performance of seven large language models (LLMs) in generating programming code using various prompt strategies, programming languages, and task difficulties is systematically evaluated. GPT‐4 substantially outperforms other LLMs, including Gemini Ultra and Claude 2. …”
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3589
Evaluating Web Accessibility in Countries Included in the Latin American Artificial Intelligence Index
Published 2025-01-01Get full text
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3590
Green-Agile Maturity Model: An Evaluation Framework for Global Software Development Vendors
Published 2021-01-01“…This phenomenon of embedding the green flavor in software has emerged a new research area, green software engineering, that promises the development of eco-friendly software with minimum energy and use of less computing resources, to trim down the adverse effects on both society and environment. …”
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3591
Performance Evaluation of Support Vector Machine and Stacked Autoencoder for Hyperspectral Image Analysis
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3592
Development and evaluation of large-language models (LLMs) for oncology: A scoping review.
Published 2025-08-01“…Our results demonstrated that LLMs were mostly evaluated across a diverse set of oncology-related applications. …”
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3593
Faster R-CNN model for target recognition and diagnosis of scapular fractures
Published 2025-04-01“…External validation was conducted to evaluate the model’s accuracy, sensitivity, specificity, positive predictive value, and negative predictive value. …”
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3594
Establishment and application of material balance equation for deep coalbed methane reservoirs based on coal formation stimulation background
Published 2025-03-01“…The proposed method for calculating the average formation pressure of deep coalbed methane is an explicit expression, which avoids the complex computer programming calculation of implicit solving methods; The proposed evaluation method for the production proportion of adsorbed gas, free gas, and dissolved gas in deep coalbed methane wells does not require the installation of carbon isotope monitoring devices at the wellhead, and can real-time evaluate the proportion of different gas production. …”
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3596
Evaluating the slope behavior for geophysical flow prediction with advanced machine learning combinations
Published 2025-02-01Get full text
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3597
Evaluating reservoir permeability from core data: Leveraging boosting techniques and ANN for heterogeneous reservoirs
Published 2025-06-01“…While boosting enhances any regressor or classifier by being computationally efficient in large-scale datasets, stacking increases prediction accuracy by mixing the output from several base models. …”
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