Optimization of engine parameters and emission profiles through bio-additives: Insights from ANFIS Modeling of Diesel Combustion by Abbas Rohani, Javad Zareei, Kourosh Ghadamkheir, Seyed Alireza Farkhondeh

“…Additionally, an Adaptive Neuro-Fuzzy Inference System (ANFIS) model was developed to predict combustion characteristics, engine parameters, and exhaust gas emissions. Various machine learning configurations and training algorithms were employed to optimize the model's performance. …”
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Performance Properties of Half-bleached Weft Knitted Fabrics Made of 100% Cotton Ring Yarns with Different Parameters by Desalegn Atalie, Gashaw Ashagre

“…Except for yarn linear density and twist, the remaining yarn and machine parameters were constant, including fabric manufacturing. …”
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A Study of Immunoenzymatic Parameters in Pediatric Ischemic Stroke as a Contribution to More Efficient Pediatric Monitoring and Diagnosis by Mariana Sprincean, Ludmila Sidorenko, Serghei Sprincean, Svetlana Hadjiu, Niels Wessel

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Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods by Wenquan Zhu, Zhiying Xie, Cenliang Zhao, Zhoutao Zheng, Kun Qiao, Dailiang Peng, Yongshuo H. Fu

“…Regarding estimation methods, although the four main categories of RS-based GPP estimation models (statistical model, light use efficiency model, RS-based process model and machine learning-based model) have made significant progress in parameter optimization, the estimation accuracy and mechanism innovation remain less than satisfactory. …”
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A study on early diagnosis for fracture non-union prediction using deep learning and bone morphometric parameters by Hui Yu, Qiyue Mu, Zhi Wang, Yu Guo, Jing Zhao, Guangpu Wang, Qingsong Wang, Xianghong Meng, Xiaoman Dong, Shuo Wang, Jinglai Sun

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Bearing fault diagnosis for high-speed train based on improved VMD and APSO-SVM by ZHANG Qingsong, ZHANG Bing, QIN Yi

“…Therefore, APSO algorithm was used to optimize the core parameters of the SVM, which further improved the recognition accuracy of cage fault and realized the effective identification for the fault bearings of high-speed train.…”
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A Novel Ionospheric Inversion Model: PINN‐SAMI3 (Physics Informed Neural Network Based on SAMI3) by Jiayu Ma, Haiyang Fu, J. D. Huba, Yaqiu Jin

“…The model incorporates the governing equations of the ionospheric physical model SAMI3 into the neural network to reconstruct the temporal‐spatial distribution of ionospheric plasma parameters. The objective of this study is to investigate the feasibility of integrating physical models with machine learning for ionospheric modeling. …”
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DRSegNet: A cutting-edge approach to Diabetic Retinopathy segmentation and classification using parameter-aware Nature-Inspired optimization. by Sundreen Asad Kamal, Youtian Du, Majdi Khalid, Majed Farrash, Sahraoui Dhelim

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A KNN-based model for non-invasive prediction of hemorrhagic shock severity in prehospital settings: integrating MAP, PBUCO2, PTCO2, and PPV by Peng Zhao, Wencai Pan, Xin Zou, Jiaqing Yang, Shihui Zhang, Yufei Liu, Yang Li

“…Current non-invasive single-parameter monitoring shows limited diagnostic reliability. …”
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Experimental Investigation and Multi-Response Optimization of Drilling and Milling Parameters for Sisal/Bamboo Fiber-Reinforced Hybrid Composites by Ashenafi Gebrehans Hagos, Alula Gebresas Gerezgiher, Kibrom Yohannes Welegergs, Abrha Gebregergs Tesfay

“…This study provided valuable insights for optimizing machining parameters to enhance performance and reduce defects in processing the biocomposite.…”
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Optimization of cutting parameters using Taguchi method during the face milling of AISI 1040 with coated and uncoated inserts by Gürcan SAMTAŞ

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Optimization of cutting parameters using Taguchi method during the face milling of AISI 1040 with coated and uncoated inserts by Gürcan SAMTAŞ

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Optimization of cutting parameters using Taguchi method during the face milling of AISI 1040 with coated and uncoated inserts by Gürcan SAMTAŞ

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The patterns of changes in the degree of lubrication of the crankshaft bearings of car engines depending on the parameters of the load-speed modes of operation by A. Gypka, V. Aulin, O. Lyashuk, A. Hrynkiv, V. Hud

“…The practice of operating machines and mechanisms indicates that bearing wear is one of the main reasons for limiting their durability. …”
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Tool Wear State Identification Method with Variable Cutting Parameters Based on Multi-Source Unsupervised Domain Adaptation by Zhigang Cai, Wangyang Li, Jianxin Song, Hongyu Jin, Hongya Fu

“…Accurately identifying tool wear states with variable cutting parameters can improve machining quality and efficiency. …”
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Influence of Processing Parameters on the Microstructure and Properties of Biomedical Ti-15Mo Alloy Fabricated by Laser Selective Melting by ZHU Hongmei, SHEN Shaofan, WANG Yunfei, PAN Cunliang, LUO Hao

“…To optimize the process parameters for fabricating biomedical Ti-15Mo alloy via selective laser melting (SLM)， this work systematically investigated the effects of laser processing parameters on the relative density， microstructure， mechanical properties， and corrosion resistance of specimens by optical microscopy (OM)， X-ray diffraction (XRD)， scanning electron microscopy (SEM)， universal testing machines and electrochemical workstations.Results showed that with increasing laser energy density， the relative density of Ti-15Mo alloy first progressively increased and then stabilized.The specimens exhibited equiaxed grains along the vertical direction and columnar grains parallel to the deposition direction， with a single β-phase of bcc structure constituting the phase composition.In addition， the mechanical properties of the specimens showed a positive correlation with their relative density.When the laser power was 175 W，the scanning speed was 1 500 mm/s，and the scanning spacing was 80 μm， the relative density of the as-prepared specimen reached 99.84%， and the comprehensive performance was the best.The specimens exhibited the ultimate tensile strength of 801.0 MPa， the elongation of 24.0%and the elastic modulus of 90.6 GPa.Moreover， the specimen demonstrated excellent corrosion resistance with a current density of 0.059 μA/cm2 and corrosion rate of 0.05 μm/a，meeting the stringent requirements for biomedical implant materials.…”
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Enhancement Material Removal Rate Optimization of Sinker EDM Process Parameters Using a Rectangular Graphite Electrode by Sukarman, Sumanto, Acim Maulana, Dodi Mulyadi, Khoirudin, Siswanto, Ade Suhara, Safril

“… This article discusses the optimization of sinker electrical discharge machining (sinker EDM) processes using SPHC material that has been hardened. …”
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Assessment of Parameters Affecting the Efficiency of Production Processes Including Barriers and Perspectives of Automation in a Real Manufacturing Environment by Wojciech Lewicki, Adam Koniuszy, Mariusz Niekurzak, Konrad Stefanowicz

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Experimental Investigation of Material Removal Rate Parameters in ECM for Aluminum Hybrid Matrix Composites Using the RSM Technique by M. Naga Swapna Sri, P. Anusha, Vittel Rao Rajendranrao Krishnajirao, Manickam Selvaraj, B. Muthuvel, N. Karthikeyan

“…In the present work, the preparation of AA-6082/ZrSiO4/TiC hybrid composite is studied along with an analysis of the effects of electrochemical machining parameters such as feed rate of electrode (FE), voltage (VO), electrolyte concentration (EL), and electrolyte discharge (ED) rate on the output responses of the material removal rate (MRR) and surface roughness (SR) for Al hybrid composites. …”
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Research on Prediction of Mudstone Breakthrough Pressure Based on Support Vector Machine in CO2 Geological Storage by Lin Jianhong, Ma Yongjie, Zhang Yu

“…This study aims to use the Support Vector Machine (SVM) model to predict the breakthrough pressure of mudstone. …”
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