Post-Transplant Diabetes: Prevalence, Risk, and Management Challenges by Alaaeldin M.K. Bashier, Dileep Kumar, Fakhriya J. Alalawi, Hind Al Nour, Amna Khalifa Al Hadari, Azza Abdulaziz Bin Hussain

“…We also discussed the specific indications for each of the oral hypoglycemic agents.…”
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Clinical Variations of Uveitis in Immuno-Inflammatory Diseases. Review of the Literature. Part 2 by G. A. Davydova, T. A. Lisitsyna, L. A. Kovaleva, E. S. Sorozhkina, A. A. Zaitseva, A. A. Baisangurova

“…Despite the numerous diagnostic schemes and therapy algorithms developed to date, much in the pathogenesis of uveitis associated with immuno-inflammatory diseases remains unclear. …”
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A Review and Tutorial on Machine Learning-Enabled Radar-Based Biomedical Monitoring by Daniel Krauss, Lukas Engel, Tabea Ott, Johanna Braunig, Robert Richer, Markus Gambietz, Nils Albrecht, Eva M. Hille, Ingrid Ullmann, Matthias Braun, Peter Dabrock, Alexander Kolpin, Anne D. Koelewijn, Bjoern M. Eskofier, Martin Vossiek

“…Machine learning (ML) algorithms can be trained to extract meaningful information from radar data for medical experts, enhancing not only diagnostic capabilities but also contributing to advancements in disease prevention and treatment. …”
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A Lightweight Direction-Aware Network for Vehicle Detection by Luxia Yang, Yilin Hou, Hongrui Zhang, Chuanghui Zhang

“…Vehicle detection algorithms, which are essential to intelligent traffic management and control systems, have attracted growing attention. …”
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Enhanced Homomorphic Encryption for Cloud Security Through Individual Optimization by Radha Marepalli, Sunitha Vanamala, Manoj Kumar Konda, Venkata Rama Lakshmi Gundala, Prasanthi B.

“…These algorithms are also often referred to as PSO strategies. …”
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Location Prediction on Trajectory Data: A Review by Ruizhi Wu, Guangchun Luo, Junming Shao, Ling Tian, Chengzong Peng

“…Then, we review existing location-prediction methods, ranging from temporal-pattern-based prediction to spatiotemporal-pattern-based prediction. We also discuss and analyze the advantages and disadvantages of these algorithms and briefly summarize current applications of location prediction in diverse fields. …”
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Examining Nasdaq Market Data and Presenting an Optimized Model by Extreme Gradient Boosting Regression and Artificial Bee Colony by Ali Ahmadpour

“…These outcomes underscore the effectiveness of combining machine learning with nature-inspired optimization algorithms to produce more accurate stock price forecasts. …”
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Machine learning approaches for grain seed quality assessment: a comparative study of maize seed samples in Malawi by Wisdom Richard Mgomezulu, Moses M. N. Chitete, Beston B. Maonga, Mthakati A. R. Phiri

“…Abstract The study assessed machine and deep learning algorithms’ ability to predict and classify the quality of maize grain seed for increased agricultural output. …”
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Optimizing cervical cancer classification using transfer learning with deep gaussian processes and support vector machines by Emmanuel Ahishakiye, Fredrick Kanobe

“…Machine learning (ML) algorithms have been used in the automated classification of cervical cancer. …”
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Discovering and modeling hidden periodicities in science data by Antonio Napolitano, William A. Gardner

“…Since the birth of this topic, both authors have continued to advance these paradigm shifts, including further development of theory, associated methodology, and computational algorithms. The most advanced of the concepts described (viz., irregular poly-cyclostationarity) is illustrated with an application of the associated algorithms to science data consisting of time series of Sunspot numbers containing approximately 75,000 daily measurements representing a period of about 200 years. …”
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Ground state energy and magnetization curve of a frustrated magnetic system from real-time evolution on a digital quantum processor by Aaron Szasz, Ed Younis, Wibe Albert de Jong

“…Our results strongly suggest that these hybrid algorithms present a promising direction for studying quantum spin liquids and more generally for resolving important unsolved problems in condensed matter theory and beyond.…”
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Improving The Performance of Big Data Databases by Nzar Abdulqadir Ali, Dashne Raouf Arif

“…In SQL (Structured Query Language) databases different algorithms are used for inserting and updating data, such as indexing, bulk insert and multiple updating. …”
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Multi-label remote sensing classification with self-supervised gated multi-modal transformers by Na Liu, Ye Yuan, Guodong Wu, Sai Zhang, Jie Leng, Lihong Wan

“…IntroductionWith the great success of Transformers in the field of machine learning, it is also gradually attracting widespread interest in the field of remote sensing (RS). …”
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The role of neural artificial intelligence for diagnosis and treatment planning in endodontics: A qualitative review by Ashwaq F. Asiri, Ahmed Sulaiman Altuwalah

“…Methods: The present research question focused on the literature search about different AI algorithms and models of AI assisted endodontic diagnosis and treatment planning. …”
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Mejora de los Test de Planificabilidad para Asignación Incremental de Tareas en Sistemas Multiprocesadores de Tiempo Real by Sergio Sáez, Alfons Crespo

“…Abstract: During the design of a Real-Time Multiprocessor System, schedulability tests are a key component of the task allocation algorithms. Using exact schedulability tests increases the efficiency of these allocation algorithms, but the execution cost to validate a task partition is also greatly increased. …”
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Effect of bit-size reduced half-precision floating-point format on image pixel characterization for AI applications by J. Jean Jenifer Nesam, S. Sankar Ganesh, Sitharthan Ramachandran

“…However, the hardware implementation of these algorithms demands more delay, area, and power. This work proposes a new mantissa bit-size reduced half-precision floating-point format for processing and characterizing image pixels for machine learning algorithms. …”
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Digital protection scheme based on Durbin Watson and Pearson similarity indices for current signals practically applied to power transformers by R. A. Mahmoud

“…In the fault events, the numerical approach can respond quickly using a limited data set within a single cycle of the foundation frequency, and operate effectively using a pair of algorithms based on DW and Pearson similarity. It is also robust against the condition of sound transformer windings. …”
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THE DIAGNOSIS TECHNIQUE OF ABNORMAL HEATING OF POWER CAPACITORS by D. I. Zalizny

“…This technique consists of a hardware and an algorithms. The hardware consists of a microprocessor-based instrument developed by the author, of measuring transformers of current and of temperature sensors. …”
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Assessment of Machine Learning Methods for Concrete Compressive Strength Prediction by Oluwafemi Omotayo, Chinwuba Arum, Catherine Ikumapayi

“…An analysis was also performed to assess the sensitivity of the compressive strength to the input factors. …”
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Comparative analysis of transfer learning performance on generalised EEG data for use in a depression diagnosis task by Shusharina, Natalia Nikolaevna

“…In order to test the quality of contrastive learning, the dataset was augmented and the following algorithms were selected as the donor network: SimCLR, MoCo, NNCLR, BarlowTwins, DINO. …”
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