Calculation of Neural Network Weights and Biases Using Particle Swarm Optimization by Jerin Paul Selvan, Girish Pandurang Potdar

“…Various machine learning techniques and algorithms have been used to address, and are still being used to tackle, several real-world issues. One technique that has been extensively employed to address a variety of issues is the usage of neural networks. …”
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GDFC-YOLO: An Efficient Perception Detection Model for Precise Wheat Disease Recognition by Jiawei Qian, Chenxu Dai, Zhanlin Ji, Jinyun Liu

“…It is a solution that can accurately and efficiently detect crop diseases in real agricultural scenarios.…”
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A Physics-Informed Neural Network Solution for Rheological Modeling of Cement Slurries by Huaixiao Yan, Jiannan Ding, Chengcheng Tao

“…The PINN-based approach incorporates physical laws into the loss function, offering mesh-free solutions with strong generalization ability. …”
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Modelling pressure dynamics of oil–gas two-phase flow in double-porosity media formation with permeability-stress sensitivity by Chunyu Zhang, Shijia Chen, Songbai Zhu, Xue Yan, Hui Wang, Yanli Wang, Jing-Shun Li, Ren-Shi Nie

“…Ultimately, the established model of oil–gas two-phase flow was validated through a well-test fitting interpretation for a real condensate gas well in a sandstone formation. …”
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Predictive modeling of pediatric drug-induced liver injury: Dynamic classifier selection with clustering analysis by Zixin Shi, Linjun Huang, Haolin Wang

“…The dataset encompassed a wide range of biomedical parameters, including laboratory results and liver function profiles, along with clinical documentation spanning demographic characteristics, medical histories, and medication regimens. …”
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Enhanced Lightweight YOLO Model for Efficient Vehicle Detection in Satellite Imagery by Mohamad Haniff Junos, Anis Salwa Mohd Khairuddin, Elmi Abu Bakar, Ahmad Faizul Hawary

“…Moreover, the proposed model achieved real-time performance on the NVIDIA Jetson Nano. …”
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Machine Learning-Enabled Prediction and Optimization of Sulfur Recovery Units: A Step towards Industry 4.0 Integration by Imran Khan, Husnain Saghir, Muhammad Ahsan

“…An industrial sulfur recovery unit was simulated in Aspen HYSYS and validated using real-world industrial data. The simulation incorporated artificial uncertainties (±5%) in key process parameters, including acid gas flow rate, acid gas temperature, air flow rate, air temperature, and Claus reactor inlet temperature. …”
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Efficient curve fitting with penalized B-splines for oceanographic and ecological applications by Kwan-Young Bak, Dong-Young Lee, Ju-Seong Lee, Hee-Jung Jee, R. Jisung Park, Ja-Yong Koo, Jae-Hwan Jhong

“…We applied this approach to two real-world datasets: oceanographic drifter data in the Niño 4 region and Demoiselle Crane migration data. …”
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Hybrid DWT NLM method with NOA optimization for ECG signal denoising by Wen Chen, Yuanfang Zhang, Kaimin Yu, Chufeng Huang, Peibin Zhu, Qihui Wu, Jianzhong Hao

“…It adaptively adjusts NLM parameters to mitigate the patch effect and introduces a sigmoid - tuned threshold function to eliminate constant deviation. …”
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Semiotics of the Digital Character on Modern Media Scene by Tatiana V. Markelova

“…By means of the mechanisms of the axiological component analysis and applying the parameters of the evaluation scale, there’s given a description of the syntactic and pragmatic resources. …”
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Adaptive Neural Network Robust Control of FOG with Output Constraints by Shangbo Liu, Baowang Lian, Jiajun Ma, Xiaokun Ding, Haiyan Li

“…The controller design method combines the design of the adaptive law outside the finite approximation domain of the achievable condition design of the sliding mode surface, and adjusts the controller parameters online according to the conditions satisfied by the real-time error state, breaking through the limitation of the finite approximation domain of the traditional neural network. …”
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Enhancing Uplink Communication in Wireless Powered Communication Networks Through Rate-Splitting Multiple Access and Joint Resource Optimization by Iqra Hameed, Mario R. Camana, Mohammad Abrar Shakil Sejan, Hyoung Kyu Song

“…To solve this non-convex joint optimization problem, we employ the simultaneous perturbation stochastic approximation (SPSA) algorithm, a gradient-free method that efficiently estimates optimal parameters with minimal function evaluations. Compared to conventional optimization techniques, SPSA provides a scalable and computationally efficient approach for real-time resource allocation in RSMA-aided WPCNs. …”
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SWMD-YOLO: A Lightweight Model for Tomato Detection in Greenhouse Environments by Quan Wang, Ye Hua, Qiongdan Lou, Xi Kan

“…Overall, the proposed model provides a computationally efficient solution for real-time crop monitoring in resource-constrained precision agriculture systems.…”
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Transient power stabiliser for a virtual synchronous machine control in doubly-fed induction generators by Jesús Castro Martínez, Francisco Gonzalez-Longatt, Santiago Arnaltes Gómez, José Luis Rodríguez Amenedo

“…The stability analysis aids the tuning of the PSS function parameters and demonstrates its impact on the frequency domain by enhancing the damping of local oscillation modes. …”
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Deep Learning-Enhanced Motor Training: A Hybrid VR and Exoskeleton System for Cognitive–Motor Rehabilitation by Kathya P. Acuña Luna, Edgar Rafael Hernandez-Rios, Victor Valencia, Carlos Trenado, Christian Peñaloza

“…This research explored the integration of the real-time machine learning classification of motor imagery data with a brain–machine interface, leveraging prefabricated exoskeletons and an EEG headset integrated with virtual reality (VR). …”
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Exact spin correlators of integrable quantum circuits from algebraic geometry by Arthur Hutsalyuk, Yunfeng Jiang, Balazs Pozsgay, Hefeng Xu, Yang Zhang

“…The results are rational functions of the quantum circuit parameters. We obtain analytic results for such correlation functions both in the real space and Fourier space. …”
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Model for Prediction of Left Ventricular Myocardial Hypertrophy in Patients with Obstructive Sleep Apnea by M. V. Gorbunova, S. L. Babak, V. S. Borovitsky, Zh. K. Naumenko, A. G. Malyavin

“…Verification of LVH was performed in one- and two-dimensional modes in standard echocardiographic positions using Xario-200 ultrasound scanner (Toshiba, Japan) with 3.5 MHz transducer. Hemodynamic parameters of left ventricular (LV) systolic function (EF %, ESV, EDV) were determined by quantitative assessment of two-dimensional echocardiograms using the modified Simpson method. …”
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For Precision Animal Husbandry: Precise Detection of Specific Body Parts of Sika Deer Based on Improved YOLO11 by Jinfan Wei, Haotian Gong, Lan Luo, Lingyun Ni, Zhipeng Li, Juanjuan Fan, Tianli Hu, Ye Mu, Yu Sun, He Gong

“…The WIoU v3 loss function is used to replace the default loss function. …”
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Expression of early biomarkers in gentamicin-induced nephrotoxicity in rats by Chen Menglu, Luo Qihui, Sun Fengjiao, Chen Zhengli, Li Mingyang, Zeng Wen, Gong Li, Cheng Anchun, Peng Xi, Fang Jing, Tang Li, Geng Yi, Chen Xiaolu

“…Consistent with gene expression analyses, KIM-1 and NGAL were undetectable in proximal tubules of control kidneys, but they were observed in epithelial cells that were affected by gentamicin toxicity as seen by cell degeneration and regeneration.In sum, the changes in gene and protein expressions of KIM-1 and NGAL were found to be correlated with the progressive histopathological alterations and preceded effects on traditional clinical parameters indicative of impaired kidney function. Time and dose-related effects on these two biomarkers expressions were observed at the target site of gentamicin toxicity, supporting the use of these two biomarkers as sensitive indicators of acute kidney injury caused by gentamicin.…”
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Understanding depression and role of rehabilitation among the visually impaired: a pilot study by F. Khurshid, H. Pandey, A. Singh

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