Improved chaotic fruit fly optimization with elman neural network based data-driven approach on product reviews classification by Mohammed Alghamdi, Najla I. Al-shathry, Yahia Said, Hasan Beyari, Shaymaa Sorour, Khalid Nazim Abdul Sattar, Fouad Shoie Alallah, Abdulrhman Alshareef

“…This article focuses on designing and developing Enhanced NLP with Data-driven Product Reviews Classification using the improved chaotic fruit fly optimization (ENLPPR-ICFFO) method. The major goal of the ENLPPR-ICFFO method is to detect and classify the sentiments existing in product ratings. …”
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Environmental and health impacts of selected artificial sweeteners: Effectiveness of treatment methods and innovative approaches for mitigation by Marie Joe Sawma, Ramez M. Zayyat, George M. Ayoub, Nasser Mahmassani

“…These methods emphasize sustainability by using renewable energy sources, optimizing operational parameters, and implementing effective waste management strategies. …”
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Using machine learning methods for long-term technical and economic evaluation of wind power plants by Ali Omidkar, Razieh Es'haghian, Hua Song

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Caesarean section versus vaginal birth in the perception of woman who gave birth by both methods by Octavian Gabriel Olaru, Anca Daniela Stanescu, Cristina Raduta, Liana Ples, Adriana Vasilache, Nicolae Bacalbasa, Andrei Vasilache, Oana Denisa Balalau

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Overcoming Weak Grid Challenges: A Combined Approach to VSI Stability with Impedance Adjustment, Control Optimization, and Microgrid Integration by Harendra Pal Singh, Sourav Bose, Anurag K. Swami

“…It proposes the stability analysis of a single loop controller and optimize its settings using various techniques (ZN-method, PSO, GA) to ensure VSI stability and meet current distortion limits (THD compliance), when grid impedance varies. …”
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Societal attitudes and structural barriers in coaching para-athletes: A mixed-methods systematic review. by Junyan Liu, Hongjun Yu, Waifong Catherine Cheung, Adam Bleakney, Yih-Kuen Jan

“…A mixed-methods approach was employed to synthesize data from 26 studies sourced from PubMed, Web of Science, SPORTDiscus, and Google Scholar. …”
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Exploring the product costing methods of micro foodservice businesses in Pagadian city: a case study by Ryan Patrick Jumawid, Jay Marie Maraon, Ozamae Tinambing, Eligen H. Sumicad Jr., Ace Virgel T. Batingal

“…This study explores the product costing methods employed by micro foodservice businesses in Pagadian City, focusing on how owners navigate operational challenges, financial constraints, and market competition. …”
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Knowledge Discovery Using Clustering Methods in Medical Database: A Case Study for Reflux Disease by Fatma Rıdaouı, Yunus Doğan

“…An increasing amount of data leads us to use the data and get the advantage of it by using methods like Data mining. Data mining is used in several industries. …”
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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…FL provides a collaborative way to improve AD using distributed data sources and data privacy.…”
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Uncertain Parameters Adjustable Two-Stage Robust Optimization of Bulk Carrier Energy System Considering Wave Energy Utilization by Weining Zhang, Chunteng Bao, Jianting Chen

“…To ensure safe and reliable navigation despite uncertainties in wave energy output, onboard power loads, and outdoor temperature, a robust coordination method is adopted. This method employs a two-stage robust optimization (RO) strategy to coordinate the various onboard units across different time scales, minimizing operational costs while satisfying all operational constraints, even in the worst-case scenarios. …”
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Effective spectral pre-processing methods enhance accuracy of soil property prediction by NIR spectroscopy by Mehdi Eslamifar, Hamed Tavakoli, Eiko Thiessen, Rainer Kock, José Correa, Eberhard Hartung

“…A total of 333 soil samples were sourced from different farms across Northern Germany, analyzed using two NIR spectrometers, and their properties were measured in a certified lab. …”
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Risk Factors, Etiology, Pathology, and Diagnostic Methods for Acute Kidney Injury: A Review Study by Tamer A. Addissouky, Majeed M. A. Ali, Ibrahim El Tantawy El Sayed, Yuliang Wang, Ayman El Baz, Naglaa Elarabany, Ahmed A. Khalil

“…Reference lists were also reviewed to find other sources. The full texts of all possibly relevant articles were assessed for inclusion. …”
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An Optimized and Energy-Efficient Ad-Hoc On-Demand Distance Vector Routing Protocol Based on Dynamic Forwarding Probability (AODVI) by Hailu Gizachew Yirga, Gizatie Desalegn Taye, Henock Mulugeta Melaku

“…Broadcasting is a standard MANET approach for sending messages from a source node to all other nodes in the network. Flooding is a frequent method for broadcasting route request (RREQ) packets, which is susceptible to broadcast storms. …”
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Resilient Operation Strategies for Integrated Power-Gas Systems by Behdad Faridpak, Petr Musilek

“…In this regard, considering the nature of each uncertain variable, a different probabilistic method is utilized. For instance, to account for the influence of power generated from renewable energy sources on the decision-making process, a diurnal version of the long-term short-term memory network is developed to forecast day-ahead weather. …”
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Future of Agrivoltaic projects: A review from the technological forecasting perspective by Leticia Pekk, Petar Sabev Varbanov, Ting Pan, Zoltan Weltsch, Bernadett Radli-Burjan, Andras Hary, Xue-Chao Wang

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Comparative Analysis of Nature-Inspired Algorithms for Optimal Power Flow Problem: A Focus on Penalty-Vanishing Terms and Algorithm Performance by Gerardo Castanon, Alberto F. Martinez-Herrera, Ana Maria Sarmiento, Alejandro Aragon-Zavala, Fernando Lezama

“…This study presents a comparative analysis of multiple nature-inspired algorithms for solving the non-polynomial Optimal Power Flow (OPF) problem. Through numerical evaluations, we assess their performance across diverse objective functions, addressing complexities such as multi-fuel sources, valve point effects, and prohibited zones. …”
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Role of ternary hybrid nanoparticle and EMHD on boundary layer flow with stretching-shrinking plate: Optimization analyses using RMS by Ibrahim Mahariq, Rania Saadeh, Farhan Lafta Rashid, Ahmad Qazza, Hamiden Abd El-Wahed Khalifa, Mohamed Kezzar, Haifa Alqahtani, Mohamed Rafik Sari

“…In this present work the statistical and numerical analysis to optimizing the role of ternary hybrid nanoparticle (THNP) (i.e.Ti-SWCNT-MWCNT) on heat transfer of electromagnetohydrodynamic (EMHD) boundary layer flow with different effects (i.e. magnetic and electrical fields, stretching/shrinking and radiation source). …”
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Low-Carbon Dispatch Method for Active Distribution Network Based on Carbon Emission Flow Theory by Jiang Bian, Yang Wang, Zhaoshuai Dang, Tianchun Xiang, Zhiyong Gan, Ting Yang

“…This model aims to achieve accurate carbon measurement across all operational aspects of distribution networks, reduce their carbon emissions through controlling unit operations, and ensure stable and safe operation. First, we propose a method for measuring carbon emission intensity on the source and network sides of active distribution networks with network losses, allowing for the calculation of total carbon emissions throughout the operation of networks and their equipment. …”
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A novel graph modeling method for GNN-based hypersonic aircraft flow field reconstruction by Qiao Li, Xingchen Li, Xiaoqian Chen, Wen Yao

“…These sparse graphs are then integrated with learnable weights optimized by automatic differentiation. Our method has been tested on an open-source turbulence dataset, the two components of graph pruning and weight optimization bring about 34% and 10% improvements on average. …”
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Distributed PV hosting capacity assessment method for distribution network considering planning of flexible resource by XU Jiayu, WANG Xiaobing, LI Bing, GU Jingda, ZHANG Qiushi, ZANG Tianlei

“…Firstly, based on the traditional multi-scenario construction method, the concept of time-sequence correlation is introduced establish the joint scenario set of source and load considering time sequence autocorrelation and cross-correlation. …”
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