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121

Practical System Programming for Rust Developers
Eshwarla, Prabhu ; Eshwarla, Prabhu ; Eshwarla, Prabhu ; et al.

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122

THE ROLE OF ARTIFICIAL INTELLIGENCE TRAINED WITH PRE-MEASURED NUMERICAL DATA IN PREDICTION OF DIFFICULT INTUBATION
Serkan TELLİ, Asistant. Prof. Dr.
THE ROLE OF ARTIFICIAL INTELLIGENCE TRAINED WITH PRE-MEASURED NUMERICAL DATA IN PREDICTION OF DIFFICULT INTUBATION
Kim JH, Jung HS, Lee SE, Hou JU, Kwon YS. Improving difficult direct laryngoscopy prediction using deep learning and minimal image analysis: a single-center prospective study. Sci Rep. 2024 Jun 20;14(1):14209. doi: 10.1038/s41598-024-65060-x.
Xia M, Jin C, Zheng Y, Wang J, Zhao M, Cao S, Xu T, Pei B, Irwin MG, Lin Z, Jiang H. Deep learning-based facial analysis for predicting difficult videolaryngoscopy: a feasibility study. Anaesthesia. 2024 Apr;79(4):399-409. doi: 10.1111/anae.16194. Epub 2023 Dec 13.
Hayasaka T, Kawano K, Kurihara K, Suzuki H, Nakane M, Kawamae K. Creation of an artificial intelligence model for intubation difficulty classification by deep learning (convolutional neural network) using face images: an observational study. J Intensive Care. 2021 May 6;9(1):38. doi: 10.1186/s40560-021-00551-x.

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123

3 - Forecasting of solar radiation using machine learning and deep learning algorithms
In Handbook of Artificial Intelligence Techniques in Photovoltaic Systems 2022:85-111

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124

Estimation of Hematocrit Volume Using Blood Glucose Concentration through Extreme Gradient Boosting Regressor Machine Learning Model
Sharma, Kirti ; Tiwari, Pawan K. ; Sinha, S. K.
Journal of Chemical Information and Modeling. 65(4):1736-1746

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125

Building Recommender systems with machine learning and AI
Sundog Education presents Building Recommender systems with machine learning and AI
Packt Publishing, film distributor. ; Sundog Education, presenter. ; Kane, Frank (Instructor), instructor.

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126

Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach
Palagin, Oleksandr ; Velychko, Vitalii ; Malakhov, Kyrylo ; et al.
Problems in programming 2-3, pp 341-351, 2020 / Proceedings of the 12th International Scientific and Practical Conference of Programming (UkrPROG 2020), Kyiv, Ukraine, September 15-16, 2020., Vol-2866 of CEUR Workshop Proceedings

Computer Science - Compu... Computer Science - Artif...
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127

Evaluating and optimizing performance of public–private partnership projects using copula Bayesian network
Ghorbany, Siavash ; Yousefi, Saied ; Noorzai, Esmatullah
Engineering, Construction and Architectural Management, 2022, Vol. 31, Issue 1, pp. 290-323.

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128

Machine learning analysis of Photometric data from the Dark Energy Survey
Abdalla, Elcio ; Abdalla, Filipe B. ; Marins, Alessandro ; et al.
Monthly Notices of the Royal Astronomical Society, Volume 544, Issue 2, December 2025, Pages 1514-1529

Cosmology and Nongalacti... Astrophysics of Galaxies
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129

Alternative set-theoretical algorithms for efficient computations of cliques in Vietoris-Rips complexes
de Souza, Danillo Barros ; Teodomiro, Jonatas ; Santos, Fernando A. N. ; et al.

Mathematics - Combinator...
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130

Textile wastewater: COD removal via Box–Behnken design, Fenton method, and machine learning integration for sustainability
International Journal of Clothing Science and Technology, 2024, Vol. 37, Issue 4, pp. 642-662.

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131

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132

JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs
Jeong, Eunji ; Cho, Sungwoo ; Yu, Gyeong-In ; et al.
16th USENIX Symposium on Networked Systems Design and Implementation (NSDI 2019)

Computer Science - Progr... Computer Science - Machi...
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133

Computer Vision for Healthy Driving Detection Using Convolution Neural Network
Sylvanus, Anigbogu Kenechukwu ; Ejike, Chukwuogo Okwuchukwu ; Sunday, Belonwu Tochukwu ; et al.
Asian Journal of Research in Computer Science. 16(4):438-444

[INFO]Computer Science [...
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134

Network Programming and Automation Essentials
Claus Topke ; Claus Topke ; Claus Topke ; et al.
2023

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135

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136

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137

Application of Deception Technique for the Management of Zero-Day Exploit
Nyia Okechukwu C. ; Gilbert Aimufua ; Julius Adebowale M. ; et al.
International Journal of Research and Innovation in Applied Science. 10(8):13-27

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138

Machine Learning in Acoustics: A Review and Open-Source Repository
McCarthy, Ryan A. ; Zhang, You ; Verburg, Samuel A. ; et al.

Sound Audio and Speech Process... Signal Processing
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139

Querying Graphs in Protein-Protein Interactions Networks using Feedback Vertex Set
Blin, Guillaume ; Sikora, Florian ; Vialette, Stéphane ; et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 7(4):628-635

[INFO.INFO-DS]Computer S... Data Structures and Algo...
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140

A Responsible Machine Learning Workflow with Focus on Interpretable Models, Post-hoc Explanation, and Discrimination Testing.
Gill, Navdeep ; Hall, Patrick ; Montgomery, Kim ; et al.
Information. Mar2020, Vol. 11 Issue 3, p137. 1p.

Machine learning Workflow Python programming langu... Conditional expectations Software development too... Deep learning
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