Predictive Modelling of H2S Removal from Biogas Generated from Palm Oil Mill Effluent (POME) Using a Biological Scrubber in an Industrial Biogas Plant: Integration of Artificial Ne... by Joanna Lisa Clifford, Yi Jing Chan, Mohd Amran Bin Mohd Yusof, Timm Joyce Tiong, Siew Shee Lim, Chai Siah Lee, Woei-Yenn Tong

“…The H2S removal was then predicted using a machine learning algorithm, specifically ANN, based on two years of historical data obtained from the biogas plant. …”
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Synchronous PWM Regulation of Inverters of Drive Installation with Two Stator Windings of Electrical Motor by Oleschuk V.

“…Results of determination of weighted total harmonic distortion factor of voltage waveforms show that at low and average values of modulation index of converters algorithms of continuous multi-zone modulation assure better integral spectral characteristics of voltage at stator windings of motor. …”
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An enhanced Walrus Optimizer with opposition-based learning and mutation strategy for data clustering by Laith Abualigah, Saleh Ali Alomari, Mohammad H. Almomani, Raed Abu Zitar, Hazem Migdady, Kashif Saleem, Aseel Smerat, Vaclav Snasel, Absalom E. Ezugwu

“…Statistical validation using p-values and ranking scores further confirms the superiority of the proposed method. …”
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Synthesis and characterization of hematite nanomaterials imprinted with acetone, ethanol and methanol for AI-Based IoT gas sensor arrays by Rana M. Abdelghani, Abd El-Hady B. Kashyout, Iman Morsi, Taha Elsayed Taha, Naglaa F. Soliman, Walid El-Shafai

“…The proposed E-nose system comprises a gas sensor array integrating three metal oxide sensors (SM10, SE10, and Sp) designed for the simultaneous detection of these VOCs. …”
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Propeller Design Optimization and an Evaluation of Variable Rotational Speed Flight Operation Under Structural Vibration Constraints by Nicolas Lima Oliveira, Afonso Celso de Castro Lemonge, Patricia Habib Hallak, Konstantinos Kyprianidis, Stavros Vouros, Manuel A. Rendón

“…Three different evolutionary algorithms generated a Pareto front, from which the optimal propeller design is selected. …”
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Explainable Predictive Factors for Inter-Agency Partnership Success by Nicola Drago, Goncalo Afonso Braz, Tullio Vardanega

“…Our automation engine integrates text mining, sentiment and semantic analysis, and supervised Machine Learning with explainable and opaque algorithms. …”
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ANFIS-optimized control for resilient and efficient supply chain performance in smart manufacturing by Mona A. AbouElaz, Bilal Naji Alhasnawi, Bishoy E. Sedhom, Vladimír Bureš

“…This integration is founded on the belief that value-added services result from technological advancements. …”
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A Bi-Layer Collaborative Planning Framework for Multi-UAV Delivery Tasks in Multi-Depot Urban Logistics by Junfu Wen, Fei Wang, Yebo Su

“…The novelty of this work lies in the seamless integration of an enhanced genetic algorithm and tailored swarm optimization within a unified two-tier architecture. …”
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Potential Biomarkers for Predicting the Risk of Developing Into Long COVID After COVID‐19 Infection by Zhiyong Hou, Yu Ming, Jun Liu, Zhong Wang

“…The immune infiltrating cells of long COVID and COVID‐19 were comparatively and respectively assessed via CIBERSORT, ssGSEA, and xCell algorithms. Subsequently, the screening of hub genes involved employing the SVM‐RFE, RF, XGBoost algorithms, and logistic regression analysis. …”
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Optimizing Curriculum for Students: A Machine Learning Approach to Time Management Analysis by Jianmin Dong

“…Additionally, Tasmanian Devil Optimization (TDO) and Equilibrium Slime Mould Algorithm (ESMA) are integrated to enhance the accuracy of both XGBC and HGBC models. …”
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Employment of a Radial Basis Function Model for Predicting the Heating Load of Construction by Yuxuan Dai

“…The innovative approaches presented in this research consist of integrating 2 advanced optimizers, namely an Improved Manta-Ray Foraging Optimizer (IMRFO) and a Population-based Vortex Search Algorithm (PVSA), with a Radial Basis Function (RBF). …”
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Construction cost prediction model for agricultural water conservancy engineering based on BIM and neural network by Kun Han, Tieliang Wang, Wenhe Liu, Chunsheng Li, Xiaochen Xian, Yingying Yang

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Multiclass semantic segmentation for prime disease detection with severity level identification in Citrus plant leaves by P. Dinesh, Ramanathan Lakshmanan

“…Due to technological advancements, image processing and Deep learning algorithms can now detect and classify plant diseases early on, which assists in preserving crop health and productivity. …”
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AGC of a Multi‐Area Hydrothermal Interconnected Diverse Deregulated Power System Using a Proposed Novel SBOA‐Multi‐Level Fuzzy Logic‐Tilt Controller Incorporated With IPFC by Getaneh Mesfin Meseret, Nishant Kumar, Tarkesh Kumar Mahato, Rajesh Kumhar, Poonam Lakra, M. D. Mofeed Alam

“…Nonlinearities have been included in the system for a more realistic approach. The integration of the IPFC improves system performance, and the effectiveness and reliability of the SBOA‐MLF‐TD‐TI method are validated through sensitivity analysis, considering simultaneous variations in the DISCO Participation Matrix (DPM) values.…”
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Machine Learning-Driven Customer Segmentation: A Behavior-Based Approach for F&B Providers by Jacint JUHASZ

“…This study explores behavior-based customer segmentation by integrating Recency, Frequency, and Monetary value (RFM) analysis with the K-Means++ clustering algorithm. …”
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Integrating Dynamic Red Blood Cell Distribution Width Monitoring and β-Blocker Therapy for Mortality Prediction in Intensive Care Unit Cardiomyopathy Patients: A Bayesian Multivari... by Si Chen, Rui Nie, Yi Wang, Haoran Guo, Yan Wang, Haixia Luan, Xiaoli Zeng, Hui Yuan

“…The BMJM enables personalized risk assessment by integrating longitudinal biomarker data. These findings support RDW as a dynamic biomarker and advocate for its integration into personalized treatment strategies.…”
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A hybrid AI-CFD framework for optimizing heat transfer of a premixed methane-air flame jet on inclined surfaces by Panit Kamma, Kittipos Loksupapaiboon, Juthanee Phromjan, Chakrit Suvanjumrat

“…To reduce the computational expense of these simulations, a hybrid Artificial Neural Network-Genetic Algorithm (ANN-GA) model was developed. The ANN accurately predicted thermal efficiency based on operational parameters, while the GA optimized these inputs to achieve maximum thermal efficiency of 76.9955 %, closely matching the CFD-predicted value of 70.86 % (discrepancy:6.1355 %). …”
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Multiparameter Causal Models for the Estimation and Explainability of Wildfire Burned Area by Amir Mustofa Irawan, Merce Vall-Llossera, Carlos Lopez-Martinez, Adriano Camps, Gerard Portal, Alberto Alonso-Gonzalez, Miriam Pablos

“…This study employs a data-driven causal discovery approach using the Peter–Clark algorithm with momentary conditional independence (PCMCI) to analyze the time-series data and construct causal graphs. …”
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Digital human rights: risks, challenges, and threats of global socio-political trans-formations by Sergey Volodenkov, Sergey Fedorchenko

“…The authors show that integrating artificial intelligence and neural network algorithms forms a significant manipulative and propagandistic potential of influencing citizens’ consciousness and the digital society value-semantic foundations. …”
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Waveform Design using Second Order Cone Programming in Radar Systems by M. Bagher Alaie, Seyed Ahmad Olamaei

“…We show the proposed algorithm can design long length sequences with a very small ISL values. …”
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