Weighted Content Similarity Feature for Software Architecture Anti-Patterns Prediction by Somayeh Kalhor, Mohammad Reza Keyvanpour

“…So, it is more effective than these two features in predicting dependencies between components using machine learning algorithms.…”
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Adaptación de un Recomendador de Filtro Colaborativo Basado en el Usuario para la Creación de un Recomendador de Materias de Pregrado Basado en el Historial Académico de los Estudi... by J. Del Pino, G. Salazar, V. Cedeño

“…A set of tests will be conducted to measure its effectiveness, using two different similarity algorithms to recommend courses to a student for the sixth semester of the Electronics and Telecommunications career offered by FIEC - ESPOL. …”
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The Specific Features of the Pathogenesis and Correction of Critical Conditions in Obstetric Care by Yu. S. Podolsky

“…Conclusion. The proposed algorithms for treating critical conditions in obstetric care contributed to the normalization of CHD parameters, the recovery of water sectoral balance and immune status, resulted in lower mortality rates in MOD, and could increase CBF and minimize OD, reducing the duration of comatous state in EC and the length of stay in intensive care units.…”
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Water Body Extraction Methods for SAR Images Fusing Sentinel-1 Dual-Polarized Water Index and Random Forest by Min Zhai, Huayu Shen, Qihang Cao, Xuanhao Ding, Mingzhen Xin

“…This novel method enhances water extraction accuracy by integrating the results of two different algorithms, reducing the biases associated with single-method water body extraction. …”
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DYNAMIC DISCIPLINE OF PARALLEL SERVICE IN CONCEPT FLIGHT AND FLOW – INFORMATION FOR A COLLABORATIVE ENVIRONMENT by L. E. Rudel'son, S. N. Smorodskiy, V. A. Chernyshyova

“…To reach the success in co-regulation of the situation it is important to have computer support in the field of aeronautical maintenance of decision-making, as well as high-speed algorithms for assessing the current parameters of the air traffic servicing process, such as handling capacity of aerodromes and terminals related to the changes being prepared. …”
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A soft voting ensemble classifier for early prediction and diagnosis of occurrences of major adverse cardiovascular events for STEMI and NSTEMI during 2-year follow-up in patients... by Syed Waseem Abbas Sherazi, Jang-Whan Bae, Jong Yun Lee

“…Therefore, this paper proposes a soft voting ensemble classifier (SVE) using machine learning (ML) algorithms.<h4>Methods</h4>We used the Korea Acute Myocardial Infarction Registry dataset and selected 11,189 subjects among 13,104 with the 2-year follow-up. …”
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"Proof-of-concept" evaluation of an automated sputum smear microscopy system for tuberculosis diagnosis. by James J Lewis, Violet N Chihota, Minty van der Meulen, P Bernard Fourie, Katherine L Fielding, Alison D Grant, Susan E Dorman, Gavin J Churchyard

“…<h4>Background</h4>"TBDx" is an innovative smear microscopy system that automatically loads slides onto a microscope, focuses and digitally captures images and then classifies smears as positive or negative using computerised algorithms.<h4>Objectives</h4>To determine the diagnostic accuracy of TBDx, using culture as the gold standard, and compare this to a microscopist's diagnostic performance.…”
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Integration of multi-omics profiling reveals an epigenetic-based molecular classification of lung adenocarcinoma: implications for drug sensitivity and immunotherapy response predi... by Ning Wang, Yinan Li, Yaoyao Wang, Wenting Wang

“…Using consensus clustering and random survival forest (RSF) algorithms, we established an epigenetic-based molecular classification system and constructed a prognostic model. …”
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Unsupervised learning of part similarity for goal-guided accelerated experiment design in metal additive manufacturing by Rui Liu, Sen Liu, Xiaoli Zhang

“…In this work, a similarity-based acceleration (S-acceleration) method for design of experiments is developed using K-means clustering and Gaussian Mixture Model (GMM) unsupervised learning algorithms to reduce the time and costs associated with unveiling process-property (porosity defects) relationships during manufacturing. …”
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A Random Degradation Aggregation Network With Temporal-Spatial Attention for Satellite Video Super-Resolution by Lu Li, Mi Wang, Yingdong Pi

“…Moreover, current VSR algorithms are primarily designed for natural scene videos and fail to account for the unique characteristics of satellite videos, leading to suboptimal reconstruction performance when directly applied to them. …”
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Stroke risk prediction: a deep learning approach for identifying high-risk patients by Afeez A. Soladoye, Kazeem M. Olagunju, Sunday A. Ajagbe, Ibrahim A. Adeyanju, Precious I. Ogie, Pragasen Mudali

“…The developed system outperformed other ML algorithms like LSTM, GRU-LSTM, Support Vector Machine (SVM) and Logistic Regression. …”
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Investigating the Prognostic Role of Telomerase-Related Cellular Senescence Gene Signatures in Breast Cancer Using Machine Learning by Qiong Li, Hongde Liu

“…A comprehensive machine learning framework incorporating 101 algorithmic combinations across 10 survival modeling approaches, including random survival forests and ridge regression, was employed to develop a robust prognostic model. …”
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Deep Transfer Learning Approach in Smartwatch-Based Fall Detection Systems by Alessandro Leone, Andrea Manni, Gabriele Rescio, Pietro Siciliano, Andrea Caroppo

“…This study introduces a fall detection system utilizing an affordable consumer smartwatch and smartphone with edge computing capabilities for implementing AI algorithms. Due to the widespread use of these devices, the system as a whole is extremely accepted, easy to use, requires no tuning of any kind, and guarantees extended functioning for a long period. …”
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Impacts of differing melt regimes on satellite radar waveforms and elevation retrievals by A. C. Ronan, R. L. Hawley, J. W. Chipman, J. W. Chipman

“…We investigate the reliability of the Offset Center Of Gravity (OCOG) and University College London Land-Ice (ULI) elevation retracking algorithms through the analysis of (and comparison with) level 1B waveform-derived leading-edge width (LeW). …”
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PATIENTS WITH DECOMPENSATION OF CHRONIC PULMONARY HEART- REMODELING PARAMETERS OF THE RIGHT ATRIUM AND RIGHT VENTRICLE by A. K. Koyirov, S. R. Kenjaev, S. SH. Khaitov, U. SH. Ganiev, N. T. Egamova, M. S. Mirmaksudov

“…Recently, however, focus has shifted toward the right atrium, with increased right atrial (RA) size included in the diagnostic and prognostic algorithms for patients with pulmonary arterial hypertension. …”
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Dengue Contingency Planning: From Research to Policy and Practice. by Silvia Runge-Ranzinger, Axel Kroeger, Piero Olliaro, Philip J McCall, Gustavo Sánchez Tejeda, Linda S Lloyd, Lokman Hakim, Leigh R Bowman, Olaf Horstick, Giovanini Coelho

“…Best practices for managing a dengue outbreak are provided for key elements of a dengue contingency plan including timely contingency planning, the importance of a detailed, context-specific dengue contingency plan that clearly distinguishes between routine and outbreak interventions, surveillance systems for outbreak preparedness, outbreak definitions, alert algorithms, managerial capacity, vector control capacity, and clinical management of large caseloads. …”
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Enhancing Air Quality Forecasting Using Machine Learning Techniques by Zeinab Shahbazi, Zahra Shahbazi, Slawomir Nowaczyk

“…In envisioning a future where urban commuting becomes synonymous with eco-friendliness and air quality improvement, a comprehensive platform harnesses the power of data analytics and real-time information to empower commuters and city planners alike. Its intelligent algorithms continuously analyse air quality information, allowing it to predict and address poor air quality. …”
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Let’s Go Bananas: Beyond Bounding Box Representations for Fisheye Camera-Based Object Detection in Autonomous Driving by Senthil Yogamani, Ganesh Sistu, Patrick Denny, Jane Courtney

“…Object detection is a mature problem in autonomous driving, with pedestrian detection being one of the first commercially deployed algorithms. It has been extensively studied in the literature. …”
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The Evolving Role of Copyright Law in the Age of AI-Generated Works by J. Hutson

“…Unlike previous digital tools, which expanded human creativity by improving original works, generative artificial intelligence creates content through complex algorithmic processes, blurring the boundaries of authorship and originality. …”
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What If VEC Is Moving: Probabilistic Model of Task Execution Through Offloading in Vehicular Computing Environments by Asmaa Ibrahim, Bassem Mokhtar

“…The features of vehicular networks, including the rapid movement of vehicles and the fluctuating distribution of vehicle densities, present challenges to task offloading with in the VEC. Numerous algorithms have been suggested to address these challenges and provide an effective task-offloading framework. …”
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