Integrated neural network and AspenPlus model for entrained flow gasification kinetics investigation by Balaban Dario, Lubura Jelena, Kojić Predrag

“…High R2 values (>0.99) for all models suggested good agreement between simulated and predicted values. Genetic algorithm-based optimization studies for maximization of hydrogen content and cold gas efficiency result in mean ER values of 0.35 and 0.41, respectively, at a temperature of 1200 °C. …”
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Artificial intelligence-driven mobile interpretation of a semi-quantitative cryptococcal antigen lateral flow assay by David Bermejo-Peláez, Ana Alastruey-Izquierdo, Narda Medina, Daniel Capellán-Martín, Oscar Bonilla, Miguel Luengo-Oroz, Juan Luis Rodríguez-Tudela

“…Concurrently, we explored the relationship between quantified test line intensities and CrAg concentrations. Results Our algorithm surpasses visual reading in sensitivity, and shows fewer discrepancies (p < 0.0001). …”
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Enhancing Fault Detection in AUV-Integrated Navigation Systems: Analytical Models and Deep Learning Methods by Huibao Yang, Bangshuai Li, Xiujing Gao, Bo Xiao, Hongwu Huang

“…Specifically, the particle swarm optimization (PSO) algorithm was employed to optimize the hyperparameters of a long short-term memory (LSTM) neural network, leading to the development of a PSO-LSTM fault detection model. …”
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Detecting anomalies in blockchain transactions using machine learning classifiers and explainability analysis by Mohammad Hasan, Mohammad Shahriar Rahman, Helge Janicke, Iqbal H. Sarker

“…This algorithm is compared against other commonly used under-sampling and over-sampling techniques. …”
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A New CDM-Based Approach for the Nonlinear Numerical Structural Analysis of Flax Fiber Reinforced Plastic by Rostislav Svidler, Roman Rinberg, Sascha Mueller, Lothar Kroll

“…The algorithm represents a single-scale material model at the meso level (UD ply) and is based on the concept of orthotropic elasto-damage within the framework of continuum damage mechanics (CDM) theory. …”
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Real-Time Human Group Detection and Clustering in Crowded Environments Using Enhanced Multi-Object Tracking by Hyunmin Lee, Donggoo Kang, Hasil Park, Sangwoo Park, Dasol Jeong, Joonki Paik

“…To address these limitations, we propose a novel algorithm that integrates an optimized YOLOv8 model with DeepSORT tracking, enhancing both detection accuracy and real time performance. …”
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Color image encryption method based on four-dimensional multi-scroll multi-wing hyperchaotic system and DNA mutation mechanism by Qi Peng, Kun Zhang, Bing Zheng, Hao Ning, Yu Zhou, Xin Xie

“…However, traditional low-dimensional chaotic systems often suffer from limited complexity and predictability, making them insufficient for high-security image encryption applications. …”
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New concepts of magnetohydrodynamics and entropy rate for radiative nanofluid flow invoking artificial neural network approach by Aqsa Razzaq, T. Hayat, Sohail A. Khan, Aneeta Razaq

“…Subsequently the advanced computational technique (ANNs) based on Levenberg-Marquardt algorithm (LMA) is integrated to train the resulting datasets and facilitate predictions of advanced solutions. …”
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Microgrid system for electric vehicle charging stations integrated with renewable energy sources using a hybrid DOA–SBNN approach by Kommoju Naga Durga Veera Sai Eswar, M. Arun Noyal Doss, Mohammad Shorfuzzaman, Ali Elrashidi

“…The manuscript introduces a hybrid technique for efficient electric vehicle (EV) charging integrating the Dollmaker Optimization algorithm (DOA) and spatial Bayesian neural network (SBNN). …”
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Recorded poor insight as a predictor of service use outcomes: cohort study of patients with first-episode psychosis in a large mental healthcare database by Robert Stewart, Neha Ramu, Anna Kolliakou, Jyoti Sanyal, Rashmi Patel

“…Objectives To investigate recorded poor insight in relation to mental health and service use outcomes in a cohort with first-episode psychosis.Design We developed a natural language processing algorithm to ascertain statements of poor or diminished insight and tested this in a cohort of patients with first-episode psychosis.Setting The clinical record text at the South London and Maudsley National Health Service Trust in the UK was used.Participants We applied the algorithm to characterise a cohort of 2026 patients with first-episode psychosis attending an early intervention service.Primary and secondary outcome measures Recorded poor insight within 1 month of registration was investigated in relation to (1) incidence of psychiatric hospitalisation, (2) odds of legally enforced hospitalisation, (3) number of days spent as a mental health inpatient and (4) number of different antipsychotic agents prescribed; outcomes were measured over varying follow-up periods from 12 months to 60 months, adjusting for a range of sociodemographic and clinical covariates.Results Recorded poor insight, present in 46% of the sample, was positively associated with ages 16-35, bipolar disorder and history of cannabis use and negatively associated with White ethnicity and depression. …”
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Determination of the Predominant Orientation of Cracks in Ice Cover of the Laptev Sea from the Ice Drift Data by L. N. Dyment, A. A. Ershova, V. S. Porubaev, A. A. Chirkova

“…The paper shows that in order to solve the problem of predicting the predominant orientation of cracks in ice covering the Laptev Sea, when the satellite information is absent, the orientation of cracks in ice cover can be calculated using data on the ice drift in the Sea. …”
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Patient selection criteria for transcatheter implantation of aortic valve by M.B. Todurov, O.V. Zelenchuk, A.V. Khokhlov, M.V. Stan, N.O. Yashchenko

“…The aim – to conduct a literature review, analyze and, based on our own results, present an algorithm for choosing the tactics of surgical treatment of patients with severe aortic stenosis. …”
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Enhanced Real-Time Onboard Orbit Determination of LEO Satellites Using GPS Navigation Solutions with Signal Transit Time Correction by Daero Lee, Soon Sik Hwang

“…To mitigate these issues, this paper proposes a real-time orbit determination algorithm that applies Earth rotation correction and dual-frequency (L1 and L2) ionospheric compensation to raw GPS measurements. …”
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Model Input-Output Configuration Search With Embedded Feature Selection for Sensor Time-Series and Image Classification by Anh Tuan Hoang, Zsolt Janos Viharos

“…Machine learning is a powerful tool for extracting valuable information and making various predictions from diverse datasets. Traditional machine learning algorithms rely on well-defined input and output variables; however, there are scenarios where the separation between the input and output variables and the underlying, associated input and output layers of the model are unknown. …”
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Meta-RHDC: Meta Reinforcement Learning Driven Hybrid Lyrebird Falcon Optimization for Dynamic Load Balancing in Cloud Computing by Mallu Shiva Rama Krishna, D. Khasim Vali

“…By integrating reinforcement learning with advanced optimization techniques, Meta-RHDC significantly improves task scheduling and load balancing compared to existing methods such as Load Optimization Algorithm (LOA), Reinforcement Learning (RL), and Falcon Optimization Algorithm (FOA). …”
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Applying model-based recursive partitioning to improve pedestrian exposure models to support transportation safety analyses by Jakob Wiegand, Vikash Gayah

“…Therefore, the MBRP algorithm presents a promising tool for advancing pedestrian safety analyses in practical applications. …”
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Optimization of a Hybrid Off-Grid Solar PV—Hydro Power Systems for Rural Electrification in Cameroon by Chu Donatus Iweh, Guy Clarence Semassou, Roger Houèchénè Ahouansou

“…The optimization of the system was done using HOMER Pro and validated using a meta-heuristic algorithm known as genetic algorithm (GA). The GA approach was programmed using the MATLAB software. …”
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Application of photon-counting CT in cardiovascular diseases by WANG Mengzhen, BAO Shouyu, LIU Peng, YAN Fuhua, YANG Wenjie

“…The virtual non-contrast （VNC） algorithm supports reliable calcium scoring from contrast-enhanced images, further reducing the radiation dose. …”
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Phenotyping of outpatients with heart failure with preserved ejection fraction and poor prognosis by V. N. Larina, V. I. Lunev

“…Based on the data obtained, an algorithm was developed to determine the risk of death in patients with HFpEF.Conclusion. …”
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Monitoring and Modeling Urban Temperature Patterns in the State of Iowa, USA, Utilizing Mobile Sensors and Geospatial Data by Clemir Abbeg Coproski, Bingqing Liang, James T. Dietrich, John DeGroote

“…Using the random forest machine-learning algorithm and estimated urban morphological variables at varying neighborhood distances derived from 1 m² aerial imagery and derived products from LiDAR data, we created 24 predicted surface temperature models that demonstrated R² coefficients ranging from 0.879 to 0.997 with the majority exceeding an R² of 0.95, all with <i>p</i>-values < 0.001. …”
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