The Comparison of Tree-Sibling Time Consistent Phylogenetic Networks Is Graph Isomorphism-Complete by Gabriel Cardona, Mercè Llabrés, Francesc Rosselló, Gabriel Valiente

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Correlation between the Quality of Talent Training and Regional Economic Development Based on Multivariate Statistical Analysis Model by Yana Yuan

“…This paper incorporates machine learning algorithms to construct a multivariate statistics analysis model based on the correlation analysis model between talent training quality and regional economic development. …”
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Nonlinear Augmented Proportional Navigation for Midrange Rendezvous Guidance and Performance Assessment by Weilin Wang, Xumin Song

“…This paper builds on previous efforts in polynomial chaos expansion (PCE) to develop an efficient analysis technique for guidance algorithms. A large scope of uncertainty sources are considered to make state evaluation trustworthy and provide precise prediction of trajectory bias. …”
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Pairing Optimizations for Isogeny-Based Cryptosystems by Shiping Cai, Kaizhan Lin, Chang-An Zhao

“…We use (modified) Jacobian coordinates and present new algorithms for Miller function computations to compute pairings of order 2∙ and 3∙. …”
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Model pruning techniques in the Internet of things: state of the art, methods and perspectives by ZHAO Junhui, LI Huaicheng, WANG Dongming, LI Jiamin, ZHOU Yiqing, SHU Feng

“…In the context of the rapid development of Internet of things (IoT) technology, IoT devices faced challenges in running complex artificial intelligence (AI) algorithms, especially deep learning models, due to the limitations of computing power, storage space, communication bandwidth, and battery life. …”
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The Necessity for Information Space Mapping for Information Retrieval on the Semantic Web by Gregory B. Newby

“…When the match is less precise, sets of rules or algorithms may be employed to map between information spaces. …”
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The power of dialogue and discovery by Kalina Jastrzębowska

“…Our classrooms offer algorithmic and rote teaching methods, depriving students of important elements of successful mathematics learning. …”
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Towards an optimization of catheter guidance in vascular surgery: A comparative analysis of the contribution of reinforcement learning by Cheima Bouden

“…Future research should aim to refine these algorithms for wider clinical use and integration.…”
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Computational intelligence in the identification of Covid-19 patients  by using KNN-SVM Classifier by shaymaa adnan

“…We applied Principal Component Analysis (PCA) and Histogram of Gradients (HOG) as extract features. while we conducted a classification process using K nearest neighbors (KNN) and Support Vector Machine (SVM) algorithms .  Results showed that the classification accuracy with SVM for Covid-19 identification is 88.54% while with KNN is 82.31% …”
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Hop count limitation analysis in wireless multi-hop networks by Liao Wenxing, Wu Muqing, Zhao Min, Li Peizhe, Li Tianze

“…A mass of models and algorithms about network connectivity, path reliability, and node mobility have been proposed to improve network performance. …”
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Artificial Intelligence in Automotives: ANNs’ Impact on Biodiesel Engine Performance and Emissions by Ramozon Khujamberdiev, Haeng Muk Cho

“…The integration of ANNs with big data and sophisticated algorithms paves the way for more accurate and reliable engine modeling, essential for advancing sustainable and eco-friendly automotive technologies. …”
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Optimizing of Iterative Turbo Equalizer for Underwater Sensor Communication by Ji Won Jung, Ki Man Kim

“…At the receiver side, we resort to powerful turbo equalization algorithms that iteratively exchange probabilistic information between inner decoder and outer decoder, thereby reducing the error rates significantly. …”
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Sampling electronic fock states using determinant quantum Monte Carlo by Shuhan Ding, Shaozhi Li, Yao Wang

“…These simulations rely on the statistical sampling of electronic Fock states, which are not easily accessible in classical algorithms. In this work, we modify the determinant quantum Monte Carlo by integrating a Fock-state update mechanism alongside the auxiliary field. …”
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Stability Switches of Arbitrary High-Order Consensus in Multiagent Networks with Time Delays by Bo Yang

“…Furthermore, under communication constraints, the stability and robustness problems of consensus algorithms up to third order are discussed in details to illustrate our central results. …”
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Survival analysis of COVID-19 versus non-COVID-19 patients requiring intensive care for acute respiratory distress syndrome: An observational retrospective study by Paulo Navas Boada, Kevin Chamorro, Santiago Ballaz

“… # Methods Clinical variables from 1,008 CARDS cases and 332 ARDS cases were computed using learning algorithms. The multivariable Cox proportional hazards regression models with the enter method evaluated risk factors and ICU mortality relationships. …”
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Properties and Applications of the Modified Kies–Lomax Distribution with Estimation Methods by Abdelaziz Alsubie

“…Its parameters are estimated via six estimation algorithms. We explore their performances using detailed simulation results, and the partial and overall ranks are provided for the measures of absolute biases, mean square errors, and mean relative errors to determine the best estimation method. …”
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Building a Collaborative Editorial Workbench for Legal Texts with Complex Structures by Nils Geißler, Daniela Schulz

“…Whereas the aforementioned plug-ins facilitate the daily work of the staff members in the general management and enhancement of the project’s website, the Cap-Coll plug-in eases the specific editorial task of collating texts by including the CollateX algorithms in a WordPress plug-in. The report concludes with a brief perspective on the possibilities for further developments.…”
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Overview of Sign Language Translation Based on Natural Language Processing by Wang Hanmo

“…Finally, the paper advocates for stronger interdisciplinary collaboration between CV and NLP to develop models and algorithms that are better suited to the unique aspects of sign languages.…”
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Linear and Nonlinear Dynamic Analyses of Sandwich Panels with Face Sheet-to-Core Debonding by Vyacheslav N. Burlayenko, Tomasz Sadowski

“…Recently developed models are presented, which can be applied for structural health monitoring algorithms of real-scale sandwich panels. First, various popular theories of intact sandwich panels are briefly mentioned and a model is proposed to effectively analyse the modal dynamics of debonded and damaged (due to impact) sandwich panels. …”
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Assessing the Current Limitations of Large Language Models in Advancing Health Care Education by JaeYong Kim, Bathri Narayan Vajravelu

“…This study aims to evaluate the application of state-of-the-art LLMs in health care education, highlighting the following shortcomings as areas requiring significant and urgent improvements: (1) threats to academic integrity, (2) dissemination of misinformation and risks of automation bias, (3) challenges with information completeness and consistency, (4) inequity of access, (5) risks of algorithmic bias, (6) exhibition of moral instability, (7) technological limitations in plugin tools, and (8) lack of regulatory oversight in addressing legal and ethical challenges. …”
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