Formulation, in vitro characterization and optimization of taste-masked orally disintegrating co-trimoxazole tablet by direct compression. by Chernet Tafere, Zewdu Yilma, Solomon Abrha, Adane Yehualaw

“…Central composite design was effectively used to model and optimize friability, DT and WT. The method was found effective for estimating the effect of independent variables on the dependent variables by using polynomial equation and surface plots. …”
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DIGITAL EXAMINATION METHODS OF ANATOMICAL ELEMENTS OF MASTICATORY SYSTEM AND BASIC OCCLUSION RELATIONSHIPS by R.M. Stupnytskyi, V.R. Yarychkivskyi

“…To create a virtual model of the tooth with periodontal tissues and determine the theoretical aspects, conditions and parameters of its application in examination stresses and deformations that arise in different occlusion relationships. Methods and materials. 3D modeling is a method of creating various forms and complexity of three-dimensional computer models of real or fantastic objects of the world with the use of various techniques and mechanisms. …”
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Comprehensive Comparative Analysis and Innovative Exploration of Green View Index Calculation Methods by Dongmin Yin, Terumitsu Hirata

“…Our findings demonstrate that the choice of sampling method significantly influences GVI calculations, underscoring the necessity for researchers to select the optimal approach based on a specific research context. …”
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Evaluation of odontometric methods in immature permanent teeth: Research for a better practise by Vicko Kristina, Nikolić-Ivošević Jelena, Petrović Bojan

“…Our results showed that there was a difference between observed methods, although there was no statistical significance. …”
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Efficient Positive Semidefinite Matrix Approximation by Iterative Optimisations and Gradient Descent Method by Vali Asimit, Runshi Wang, Feng Zhou, Rui Zhu

“…The biggest advantage of this iterative method is its great flexibility when working with different choices of norms or with user-defined constraints. …”
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Evaluation of Automobile Engine Oil Alternatives with FUCOM, MAIRCA, MABAC and BWM Methods by Volkan Genç, Aşkın Özdağoğlu, Murat Kemal Keleş

“…The weights of the criteria were found by considering two different climatic conditions, namely İzmir with a warm climate and Erzurum with a continental climate, using the new weighting methods BWM and FUCOM. …”
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Investigation of the immobilization of probiotics as a method for their protection and delivery to the human gastrointestinal tract by Gavrilova N., Chernopolskaya N., Bannikova A., Evdokimov I., Shramko M.

“…To obtain reliable and complete characteristics, a set of research methods was used in the work: physicochemical, sensory, and microbiological. …”
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Review of Spot Electricity Price Prediction Studies Based on Machine Learning Methods by JIA Heping, GUO Yuchen, MA Qianxin, YANG Zhenglin, ZHENG Yaxian, ZENG Dan, LIU Dunnan

“…In addition， based on the characteristics of data labeling， feature extraction and data flow control， the research status of various machine learning prediction models was summarized， and the characteristics and applicability of different prediction models were analyzed. This study then analyzed the evaluation criteria for spot electricity price prediction models based on machine learning， and summarized the model hyperparameter training requirements and the practical application of relevant prediction methods. …”
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Systematic Evaluation of Chromatographic Parameters for Isoquinoline Alkaloids on XB-C18 Core-Shell Column Using Different Mobile Phase Compositions by Ireneusz Sowa, Sylwia Zielińska, Jan Sawicki, Anna Bogucka-Kocka, Michał Staniak, Ewa Bartusiak-Szcześniak, Maja Podolska-Fajks, Ryszard Kocjan, Magdalena Wójciak-Kosior

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Optimization of fracturing cluster spacing of horizontal wells with natural fractures: taking Jimusar shale oil as an example by HE Xiaodong, ZHANG Jingchen, WANG Junchao, LI Heng, CHEN Xi, GUO Xiaodong

“…In the large-segment and multi-cluster fracturing test, in order to optimize the cluster spacing and increase the fracturing reconstruction volume in the design process of close cutting seams, a set of cluster spacing optimization methods considering natural fractures is established by using the analysis methods of hydraulic fracturing simulation and numerical simulation according to the geological and engineering data of the target block, and the influence of different cluster spacing and different matrix permeability on reconstruction effect and regional exploitation degree is simulated under the close cutting process. …”
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Numerical Optimization of Drucker-Prager-Cap Model Parameters in Powder Compaction Employing Particle Swarm Algorithms by Sanaz Davarpanah, Madjid Allili, Seyed Soheil Mousavi Ajarostaghi

“…The suggested approach may accurately forecast the Drucker-Prager-Cap model parameters, as demonstrated by comparing the optimized parameters utilizing the research’s method with their experimental values. …”
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Comparative analysis of three experimental methods for revealing human fecal microbial diversity by Caiqing Yao, Yu Zhang, Lijun You, Jingjing E, Junguo Wang

“…Moreover, based on the CEMS results, growth rate index (GRiD) values for various strains on different media were calculated to predict the optimal medium for bacterial growth; this method can be used to design new media for intestinal microbial isolation, promote the recovery of specific microbiota, and obtain new insights into the human microbiome diversity. …”
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Use of Ceramic-Industry Wastewater in Sandy Subgrade Stabilization by Deep Mixing Method by Hamed Heidari Forozabadi, Mohammad Khabiri, Kazem Barkhordari Bafghi, Dabessa Ayantu Miti Ku

“…In the first stage, the potential of off-site production by the factories and the advantages of using it were investigated. The optimal mixing plan was then obtained by performing a UCS test on samples that were made with different amounts of cement and wastewater. …”
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Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models by John Fischer, Marko Orescanin, Justin Loomis, Patrick Mcclure

“…Unfortunately, because the weights and biases in Bayesian DL models are defined by a probability distribution, simple application of the aggregation methods associated with FL schemes for deterministic models is either impossible or results in sub-optimal performance. …”
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Natural Gas Consumption Forecasting Model Based on Feature Optimization and Incremental Long Short-Term Memory by Huilong Wang, Xianjun Gao, Ying Zhang, Yuanwei Yang

“…This paper proposes a natural gas consumption forecasting model based on feature optimization and incremental LSTM. The proposed method enhances the robustness and generalization capability of the model at the data level by combining Gaussian Mixture Models to handle missing and anomalous data through modeling and sampling. …”
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Optimization of Battery Thermal Management for Real Vehicles via Driving Condition Prediction Using Neural Networks by Haozhe Zhang, Jiashun Zhang, Tianchang Song, Xu Zhao, Yulong Zhang, Shupeng Zhao

“…In this study, we propose a neural network-based synergistic optimization method for driving conditions prediction and dynamic thermal management, which collects multi-scenario real-vehicle data (358 60-s condition segments) by naturalistic driving data collection method, extracts four typical conditions (congestion, highway, urban, and suburbia) by combining with K-means clustering, and constructs a BP (backpropagation neural network) model (20 neurons in the input layer and 60 neurons in the output layer) to predict the vehicle speed in the next 60 s. …”
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Machine learning enhanced metal 3D printing: high throughput optimization and material transfer extensibility by Yuanjie Zhang, Cheng Lin, Yuan Tian, Jianbao Gao, Bo Song, Hao Zhang, Min Wang, Kechen Song, Binghui Deng, Dezhen Xue, Yonggang Yao, Yusheng Shi, Kun Kelvin Fu

“…We then expedited optimization in AlSi7Mg using the learned knowledge and feed hardness and relative density, thus demonstrating the method’s general extensibility and efficiency. …”
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Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm by Noemí DeCastro-García, Ángel Luis Muñoz Castañeda, David Escudero García, Miguel V. Carriegos

“…It is a laborious task that usually requires deep knowledge of the hyperparameter optimizations methods and the Machine Learning algorithms. …”
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Optimization Strategies Applied to Deep Learning Models for Image Steganalysis: Application of Pruning, Quantization and Weight Clustering by Gabriel Ferreira, Manoel Henrique da Nóbrega Marinho, Verusca Severo, Francisco Madeiro

“…Different scenarios are simulated for each optimization technique, and, finally, quantization is combined with pruning. …”
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A Combined Study on Optimization, In Silico Modeling, and Genetic Modification of Large Scale Microbial Cellulase Production by Md. Raisul Islam Rabby, Zabed Bin Ahmed, Gobindo Kumar Paul, Nafisa Nusrat Chowdhury, Fatema Akter, Mamudul Hasan Razu, Pranab Karmaker, Mala Khan

“…In this review, we also compare different cellulase activity determination methods. …”
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