FAQIVS: Face Query-based Interactive Video Synopsis* by Nagavani Chandrasekaran, Yogameena Balasubramanian

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Artificial Intelligence-based Approaches for Characterizing Plaque Components From Intravascular Optical Coherence Tomography Imaging: Integration Into Clinical Decision Support Sy... by Michela Sperti, Camilla Cardaci, Francesco Bruno, Syed Taimoor Hussain Shah, Konstantinos Panagiotopoulos, Karim Kassem, Giuseppe De Nisco, Umberto Morbiducci, Raffaele Piccolo, Francesco Burzotta, Fabrizio D’Ascenzo, Marco Agostino Deriu, Claudio Chiastra

“…To increase productivity, precision, and reproducibility, researchers are increasingly integrating artificial intelligence (AI)-based techniques into IVOCT analysis pipelines. Machine learning algorithms, trained on labelled datasets, have demonstrated robust classification of various plaque types. …”
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RETRACTED: CHOICE OF OSTEOFIXATION OF EPITHESIS IN TOTAL DEFECT OF THE MAXILLOFACIAL REGION by N. I. Tcherezova

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METODE KLASIFIKASI JARINGAN SYARAF TIRUAN BACKPROPAGATION PADA MAHASISWA STATISTIKA UNIVERSITAS TERBUKA by Siti Hadijah Hasanah, Sri Maulidia Permatasari

“…Backpropagation Artificial Neural Network (ANN) is an ANN that uses a supervised learning algorithm. The purpose of this study is to determine the parameters and measure the accuracy of the classification accuracy of the student status of the Open University Statistics Study Program. …”
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Research on knowledge concept extraction method based on few-shot learning and chain-of-thought prompting by SHE Linlin, XIONG Longyang, LU Xuesong

“…Knowledge concept extraction has important application value in the fields of education, medical care, and finance. Knowledge concept extraction is a sub-task of named entity recognition. …”
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A deep learning approach for accurate COVID-19 diagnosis from x-ray images using OBLMPA by Xiaohua Li, Shuai Fu

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Analysis Method of Agricultural Total Factor Productivity Based on Stochastic Block Model (SBM) and Machine Learning by Yanzi Li, Cai Chen, Fuqiang Liu, Jian Wang

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Using Stacks for Image Segmentation Based on Region Growing by V. Yu. Tsviatkou

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Research on knowledge concept extraction method based on few-shot learning and chain-of-thought prompting by SHE Linlin, XIONG Longyang, LU Xuesong

“…Knowledge concept extraction has important application value in the fields of education, medical care, and finance. Knowledge concept extraction is a sub-task of named entity recognition. …”
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Tutors' perceptions of ICTs in promoting computational thinking among pre-service teachers in Tanzanian colleges by Vicky Mrosso, Placidius Ndibalema, Abdon Ephrem

“…The findings revealed that tutors dominantly perceive CT as a digital literacy skill while ignoring the cognitive processes that underlie CT skills such as abstraction, algorithmic thinking, decomposition, and pattern recognition. …”
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Several aspects of conservative treatment of patients with cervical osteochondrosis by O. V. Sklyarenko, Z. V. Koshkaryova, V. A. Sorokovikov

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Joint Relay Ordering and Linear Finite Field Network Coding for Multiple-Source Multiple-Relay Wireless Sensor Networks by Yulun Cheng, Longxiang Yang

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Assessing safety in horizontal curves using surrogate safety measures and machine learning by Navid Nadimi, Hojjat Fathipour, Abbas Sheykhfard

“…In this paper, with the help of a decision tree algorithm and SSMs; the impact of different variables is assessed on the safety of HCs. …”
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Combinatorial-Semantic Analysis of Collocations as a Method of Linguistic Research (on the Example of Colour Collocations Formed by an Adjective Type) by M. V. Vlavatskaya

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Approaches to Assessing Knowledge Level of Business-Organization by S. N Kukushkin, O. E. Kalenov

“…In conclusion algorithm of estimating the index of knowledge level is described and advantages of this method are demonstrated.…”
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Precision-Enhanced and Encryption-Mixed Privacy-Preserving Data Aggregation in Wireless Sensor Networks by Geng Yang, Sen Li, Xiaolong Xu, Hua Dai, Zhen Yang

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The Association of Aortic Stenosis Severity and Symptom Status With Morbidity and Mortality by Matthew D. Solomon, MD, PhD, Alan S. Go, MD, Thomas Leong, MPH, Elisha Garcia, BS, Kathy Le, MPH, Femi Philip, MD, Edward McNulty, MD, Jacob Mishell, MD, Andrew N. Rassi, MD, David C. Lange, MD, Catherine Lee, PhD, Anthony DeMaria, MD, Rick Nishimura, MD, Andrew P. Ambrosy, MD

“…After multivariable adjustment, symptom status strongly predicted risk. Patients with symptomatic moderate AS had a similar risk to those with severe AS without symptoms (adjusted HR: 1.77 [95% CI: 1.65-1.91] vs 1.81 [95% CI: 1.51-2.17] for death, P = 0.81; aHR: 2.27 [95% CI: 2.13-2.41] vs 2.40 [95% CI: 2.08-2.77] for AS-related hospitalization, P = 0.42). …”
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Control Directo de Potencia Predictivo Robusto con Sincronismo Intrínseco by J.R. Fischer, S.A. González, I. Carugati, M.G. Judewicz, D.O. Carrica

“…In this work a novel positive sequence detector is also implemented which ensures the elimination of perturbation at the output current due to harmonics content. The control algorithm has an intrinsic synchronization scheme which avoids an additional three-phase PLL. …”
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Integrative analysis of T cell-associated markers in Ewing sarcoma reveals prognostic signatures and immune dynamics by Umair Ali Khan Saddozai, Umair Ali Khan Saddozai, Chenxu Liu, Chenxu Liu, Fei Yan, Zhendong Lu, Muhammad Babar Khawar, Muhammad Babar Khawar, Muhammad Usman Akbar, Saadullah Khattak, Haibo Sun, Haibo Sun, Ping Yang

“…The prognostic model demonstrated high predictive accuracy for 1-, 3-, and 5-year survival (AUC: 0.85, 0.82, 0.78). …”
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Comparative analysis of the human microbiome from four different regions of China and machine learning-based geographical inference by Yinlei Lei, Min Li, Han Zhang, Yu Deng, Xinyu Dong, Pengyu Chen, Ye Li, Suhua Zhang, Chengtao Li, Shouyu Wang, Ruiyang Tao

“…Individuals from the four regions could be distinguished and predicted based on a model constructed using the random forest algorithm, with the predictive effect of palmar microbiota being better than that of oral and nasal cavities. …”
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