Accelerating RRT* convergence with novel nonuniform and uniform sampling approach by Sivasankar Ganesan, Mohanraj Thangamuthu, Balakrishnan Ramalingam, Madan Mohan Rayguru, Sethu Narayanan Tamilselvan

“…The proposed RRT*-NUS method is evaluated against six baseline algorithms: RRT*, Informed RRT*, RRT*-N (normal sampling RRT*), GS-RRT* (goal-oriented sampling RRT*), DR-RRT* (directional random sampling RRT*), and hybrid-RRT* in three different 384*384 2D simulation scenarios. …”
Get full text

Complementarity in renewable energy sources: Insights from scientometric analysis by Prangon Chowdhury, Nahid-Ur-Rahman Chowdhury, Omar Farrok

“…Renewable energy sources (RESs) enhance reliability and sustainability through complementarity by strategically combining different energy types to improve power generation stability. …”
Get full text

Full-Wave Simulation of a Helmholtz Radiofrequency Coil for Magnetic Resonance Applications by Giulio Giovannetti, Denis Burov, Angelo Galante, Francesca Frijia

“…Magnetic resonance imaging (MRI) is a non-invasive diagnostic technique able to provide information about the anatomical, structural, and functional properties of different organs. A magnetic resonance (MR) scanner employs radiofrequency (RF) coils to generate a magnetic field to excite the nuclei in the sample (transmit coil) and pick up the signals emitted by the nuclei (receive coil). …”
Get full text

Analyzing the Impact of Electric Vehicles on the Power Network of the United Arab Emirates by Suma Al-Arab, Ramesh C. Bansal, Ahmed G. Abo-Khalil

“…This study investigates the impact of increasing electric vehicle (EV) adoption on the power grid in the United Arab Emirates (UAE), focusing on grid performance, stability, and efficiency under different EV penetration scenarios. A mathematical model is developed to evaluate EV charging load profiles based on energy consumption, charging schedules, and station distribution. …”
Get full text

Energy and Reserve Scheduling of Distribution Network in Presence of Electric Vehicle Aggregators: A Decentralized Approach by Atena Tazikeh Lemeski, Reza Ebrahimi, Alireza Zakariazadeh, Keyvan Firuzi

“…For realistic addressing of the problem, the uncertainties related to EV arrival/departure times and their initial State of Charge (SOC) are simulated via different scenarios. The problem is solved using the fast alternating direction method of multipliers (FADMMs) which is well suited for independent-objective optimizations with a fast convergence rate. …”
Get full text

Efficient structure learning of gene regulatory networks with Bayesian active learning by Dániel Sándor, Péter Antal

“…Results We introduce novel acquisition functions for experiment design in gene expression data, leveraging active learning in both Essential Graph and Graphical Model spaces. We evaluate scalable structure learning algorithms within an active learning framework to optimize intervention selection. …”
Get full text

Power quality solutions for rail transport using AI-based unified power quality conditioners by D. K. Nishad, A. N. Tiwari, Saifullah Khalid, Sandeep Gupta

“…The proposed AI-UPQC utilizes artificial neural networks (ANNs) to generate optimal reference signals for controlling series and shunt active power filters. …”
Get full text

GenAI-Powered Text Personalization: Natural Language Processing Validation of Adaptation Capabilities by Linh Huynh, Danielle S. McNamara

“…Augmented prompts resulted in LLM modifications with more appropriate cohesion features tailored to high- and low-knowledge readers for optimal comprehension. This study demonstrates how LLMs can be prompted to modify text and uniquely demonstrates the application of NLP to evaluate theory-driven content personalization using GenAI. …”
Get full text

Estimating Snow Coverage Percentage on Solar Panels Using Drone Imagery and Machine Learning for Enhanced Energy Efficiency by Ashraf Saleem, Ali Awad, Amna Mazen, Zoe Mazurkiewicz, Ana Dyreson

“…We developed and evaluated two approaches using YOLO-based models: Approach 1, a high-precision method utilizing a two-class detection model, and Approach 2, a real-time single-class detection model optimized for fast inference. …”
Get full text

Predicting postoperative neurological outcomes of degenerative cervical myelopathy based on machine learning by Shuai Zhou, Shuai Zhou, Shuai Zhou, Shuai Zhou, Zexiang Liu, Zexiang Liu, Zexiang Liu, Haoge Huang, Haoge Huang, Haoge Huang, Hanxu Xi, Xiao Fan, Xiao Fan, Xiao Fan, Yanbin Zhao, Yanbin Zhao, Yanbin Zhao, Xin Chen, Xin Chen, Xin Chen, Yinze Diao, Yinze Diao, Yinze Diao, Yu Sun, Yu Sun, Yu Sun, Hong Ji, Feifei Zhou, Feifei Zhou, Feifei Zhou

“…After training and optimizing multiple ML algorithms, we generated a model with the highest area under the receiver operating characteristic curve (AUROC) to predict short-term outcomes following DCM surgery. …”
Get full text

Design and Implementation of Solar Cells as an Alternative Power Source for Pinisi Ships by Suardi Suardi, Mohammad Khafid Maulana, Rodlian Jamal Ikhwani, Muhammad Uswah Pawara, Faisal Mahmuddin, Muhdar Tasrief

“…Configurations were optimized for different decks, ensuring efficient energy distribution while maintaining sustainability. …”
Get full text

Power inspection UAV task assignment matrix reversal genetic algorithm by Kai Liu, Meizhao Liu, Ming Tang, Chen Zhang

“…The performance of TMGA is evaluated through simulation experiments in three different scenarios, comparing it with existing algorithms. …”
Get full text

Developing an automatic collector of runoff for studies using rainfall simulators by Pietro M. S. Macedo, Nivaldo Schultz, Paulo T. S. Oliveira, Marinaldo F. Pinto, Bruno A. A. F. Conforto, Daniel F. de Carvalho

“…The automatic runoff collector equipped with the PSI.420 and ST100 sensors has potential to obtain and store runoff data, and it was effective in evaluating the erosion process, generating mean errors of 12.25 and 13.16% for runoff volume and soil loss, respectively. …”
Get full text

Integrating high dimensional quadratic regression with penalties based predictive modeling for hydro power plants accurate tariff prediction by Ritesh Dash, Anupa Sinha, Abinash Mahapatro, Bhabasis Mohapatra, Binod Kumar Sahu

“…Abstract In order to optimize the financial and operational cost of an hydropower plant in a micro-grid operation, it is required to accurately forecast the per unit generation cost and per unit selling price in a competitive energy trading market. …”
Get full text

Review on Maximum Power Point Tracking Control Strategy Algorithms for Offshore Floating Photovoltaic Systems by Lei Huang, Baoyi Pan, Shaoyong Wang, Yingrui Dong, Zihao Mou

“…Floating photovoltaic systems are rapidly gaining popularity due to their advantages in conserving land resources and their high energy conversion efficiency, making them a promising option for photovoltaic power generation. However, these systems face challenges in offshore environments characterized by high salinity, humidity, and variable irradiation, which necessitate effective maximum power point tracking (MPPT) technologies to optimize performance. …”
Get full text

The Circular Kitchen by Bas Jansen

“…It suggested involving individuals with optimal influence, technical knowledge, and project dedication. …”
Get full text

Proposals for Improving the System of Radiation Safety in Medical Exposure. Part 1. Analysis of information contained in state reporting forms and information databases in Moscow by S. A. Ryzhov, A. V. Vodovatov, I. V. Soldatov, Z. A. Lantukh, A. N. Mukhortova, Yu. V. Druzhinina, P. S. Druzhinina

“…The aim of the search was to compare the sources of information and evaluate dynamics of changes of the patients doses during x-ray and radionuclide examinations in medical organizations in Moscow from 2017 to 2020. …”
Get full text

Waiting Time Distribution of Supra-arcade Downflows by Zichao Yang, Rui Liu

“…In six of the seven flares, the SADs are identified and tracked in previous studies by two different methods, and in the seventh flare, they are identified and tracked by our optimized manual method. …”
Get full text

Control of contour evolution, burn rate variation, and reaction channel formation in coal gasification by Roman Dychkovskyi, Volodymyr Falshtynskyi, Pavlo Saik, Vasyl Lozynskyi, Dariusz Sala, Łukasz Hankus, Małgorzata Magdziarczyk, Adam Smoliński

“…Utilizing an underground gas generator within a coal-rock mass, the study employs a hydrofracture profile model to analyze key parameters. …”
Get full text

Analysis of the distribution of health services in the State of São Paulo: focus on Big Data by Márcio Alexandre Marques, Caio Fernandes Chaves Maximiano, Thiago Gonçalves dos Santos Martins, Augusto Voltaire do Nascimento

“…ABSTRACT Objective To develop a process (pipeline) for extracting, processing, and analyzing data from the National Registry of Health Establishments in the State of São Paulo, Brazil, to evaluate the distributions of health professionals and services throughout this state. …”
Get full text