Recent advances in autoimmune encephalitis by João Henrique Fregadolli Ferreira, Caio César Diniz Disserol, Bruna de Freitas Dias, Alexandre Coelho Marques, Marina Driemeier Cardoso, Pedro Victor de Castro Silva, Fabio Fieni Toso, Lívia Almeida Dutra

“…The diagnostic criteria for AE were adapted to the pediatric population, and a diagnostic algorithm was proposed, considering potential mimics and misdiagnosis. …”
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From community to science to community, enhancing remote sensing of water quality in Chesapeake Bay tributaries through participatory science by Min-Sun Lee, Maria Tzortziou, Ji-Eun Park, Tong Lin, Patrick Neale, Shelby Brown, Tara Sill, Alison Cawood

“…Here, we used rich bio-optical datasets collected by trained volunteers to develop, optimize, and validate new satellite retrievals of key water quality indicators in the economically and ecologically valuable tributaries of the Chesapeake Bay Estuary. The optimized algorithms were applied to imagery from Landsat/OLI, Sentinel-2/MSI, and Sentinel-3/OLCI, and effectively captured the temporal and spatial distribution of turbidity, chlorophyll-a concentration, and dissolved organic matter dynamics in both optically complex tributaries and the main stem of the Bay. …”
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Roles and/or Users in the Web Application for Generating Employment Certificates by Biviana Esther Humánez Petro, Merjoury Ballesteros Herrera, Roswill Nieves Laza, María Camila Peña Bello

“…The designed interface allows authorized users to generate certificates by entering their ID number and the type of certificate required. Thanks to algorithmic programming, the system streamlines the process, reducing time and optimizing human talent management.…”
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ENHANCEMENT OF ARTIFICIAL IMMUNE SYSTEMS FOR THE TRAVELING SALESMAN PROBLEM THROUGH HYBRIDIZATION WITH NEIGHBORHOOD IMPROVEMENT AND PARAMETER FINE-TUNING by Peeraya THAPATSUWAN, Warattapop THAPATSUWAN, Chaichana KULWORATIT

“…These findings emphasize the importance of strategic combinations and fine-tuning for creating effective optimization algorithms. …”
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AI-Driven Future Farming: Achieving Climate-Smart and Sustainable Agriculture by Karishma Kumari, Ali Mirzakhani Nafchi, Salman Mirzaee, Ahmed Abdalla

“…Using sophisticated algorithms to predict soil conditions, improving agricultural yield projections, diagnosing water stress from sensor data, and identifying plant diseases and weeds through image recognition, crop mapping, and AI-guided crop selection are some of the main applications investigated. …”
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Impact of Lexical Features on Answer Detection Model in Discussion Forums by Atif Khan, Muhammad Adnan Gul, Abdullah Alharbi, M. Irfan Uddin, Shaukat Ali, Bader Alouffi

“…Online forums have become the main source of knowledge over the Internet as data are constantly flooded into them. …”
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Predicting student performance academic using Automated Machine Learning (AutoML): in medical academic institutions by Rania A. Abougalala, Nouf Alharbi, Mohamed A. Amasha, Marwa F. Areed, Salem Alkhalaf, Dalia Khairy

“…The population of the study includes students enrolled in an academic course at Damietta University between 2016 and 2021, the sample size used for the study consists of 461 student records after preprocessing, and the study was conducted at academic institution affiliated with Damietta University, Egypt. The main aim herein is to determine the best and most accurate algorithms which would enable forecasting students' academic performance, and therefore allowing medical sector college's decision makers in amending admission systems and methods in selecting students through the use of statistics and grades that have been available in the last five years.…”
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Combination of Principal Component Analysis and Time-Frequency Representation for P-Wave Arrival Detection by Jacek Wodecki, Justyna Hebda-Sobkowicz, Adam Mirek, Radosław Zimroz, Agnieszka Wyłomańska

“…However, the acquisition of this information is almost impossible without the ability to detect the onset time of the seismic event. The main objectives of algorithms in finding P-wave are high accuracy, reasonable time of operation, and automatic detection of wave arrival. …”
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Abilities of Using MS-Unit Computer Vision Hardware and Software Complex Studying Forensic Objects by I. V. Latyshov, V. A. Vasil’iev, I. G. Pal’chikova, E. S. Smirnov

“…The purpose of this work is to determine the capability of the MS-Unit computer vision hardware and software complex in quantitative assessment of the main and additional characteristics of a shot to solve the most frequently encountered problem - determining the distance of the shot. …”
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A Survey of Deep Learning Techniques for Arabic Aspect-Based Sentiment Analysis by Dalal Alqusair, Mounira Taileb, and Hassanin Al-Barhamtoshy

“…In addition to ascertaining potential future directions that would encourage researchers to contribute to Arabic ABSA studies and generate more effective algorithms.…”
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Epidemiological aspects of nephrolithiasis and chronic diseases of the cardiovascular system combination by R. V. Royuk, S. K. Yarovoy, N. A. Guseva, Sh. L. Voskanyan, V. V. Royuk, D. B. Rodin

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Diagnostics of leaks with unknown amplitudes against the background of interference caused by accidental consumption in the hydraulic system for the forest complex by Sazonova Svetlana, Zolnikov Konstantin, Skvortsova Tatyana, Kravchenko Andrey, Zarevich Anton

“…The formation of algorithms for leak detection is considered. It is shown that the solution to the problem of specific leak detection may vary depending on the type of hydraulic system and the technologies used. …”
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Big Questions of Artificial Intelligence (AI) in Public Administration and Policy by Mehmet Metin Uzun, Mete Yıldız, Murat Önder

“…The artificial intelligence (AI) ecosystems and algorithms now affect daily lives, communities, and government structures more than ever. …”
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Phenological Restriction of the Oryza (v3) Model by Gutemberg Resende Honorio Filho, Alexandre Bryan Heinemann, David Henriques da Matta, Luís Fernando Stone, Santiago Vianna Cuadra, Silvio Steinmetz

“…Crop simulation models, such as ORYZA (v3), use equations that depend on two main parameters calibrated by the user: sensitivity to photoperiod and minimum optimal photoperiod. …”
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Laser-Induced Thermal Treatment of Superficial Human Tumors: An Advanced Heating Strategy and Non-Arrhenius Law for Living Tissues by Leonid A. Dombrovsky, Leonid A. Dombrovsky, Leonid A. Dombrovsky

“…The known finite-difference or finite element algorithms can be preferable in solving transient heat transfer problems. …”
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Systematic Review: Malware Detection and Classification in Cybersecurity by Sebastian Berrios, Dante Leiva, Bastian Olivares, Héctor Allende-Cid, Pamela Hermosilla

“…Finally, this study identifies the main challenges and outlines opportunities of future research to improve malware detection and classification frameworks.…”
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BIM-Based Trajectory Planning for Unmanned Aerial Vehicle-Enabled Box Girder Bridge Inspection by Jiangpeng Shu, Zhe Xia, Yifan Gao

“…The approach reflects the geometry properties of box girders as inspection characteristics and is designed with algorithms to determine a mathematical relationship between the box girders’ coordinates and inspection sequences. …”
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Lung cancer brain metastases – the role of neurosurgery by V. A. Aleshin, V. B. Karakhan, A. Kh. Bekyashev, D. M. Belov

“…These factors increase the risk of metastatic lesions of the brain.Interest to the problem of neurosurgical treatment of patients suffering lung cancer is determined by frequency of lesion, varicosity of morphological variants of the disease, requiring various algorithms of treatment and diagnosis.The main role of neurosurgical intervention in cerebral metastases of lung cancer consist in creation of the paled of carrying out combined therapy. …”
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Fusing LiDAR and Photogrammetry for Accurate 3D Data: A Hybrid Approach by Rytis Maskeliūnas, Sarmad Maqsood, Mantas Vaškevičius, Julius Gelšvartas

“…The fusion of LiDAR and photogrammetry point clouds is a necessary advancement in 3D-modeling, enabling more comprehensive and accurate representations of physical environments. The main contribution of this paper is the development of an innovative fusion system that combines classical algorithms, such as Structure from Motion (SfM), with advanced machine learning techniques, like Coherent Point Drift (CPD) and Feature-Metric Registration (FMR), to improve point cloud alignment and fusion. …”
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Portfolio optimization with MOPSO-Shrinkage hybrid model by Minh Tran, Nhat M. Nguyen

“…This paper introduces a novel framework for portfolio optimization that integrates Multi-Objective Particle Swarm Optimization (MOPSO) with shrinkage covariance estimators, referred to as the MOPSO-Shrinkage hybrid model. The main contribution of this study lies in combining the adaptive search capabilities of evolutionary algorithms with robust covariance estimation techniques to enhance portfolio allocation in mature financial markets. …”
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