An Empirical Comparison of Urban Road Travel Time Prediction Methods—Deep Learning, Ensemble Strategies and Performance Evaluation by Yizhe Wang, Yangdong Liu, Xiaoguang Yang

“…This study compares the predictive performance of deep learning methods with traditional shallow learning methods for urban road travel time prediction, and explores the potential for improving prediction effectiveness through multi-run training strategies for hyperparameter optimization and ensemble learning. …”
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Strategy of the effective structure of farmers funding by Denis Y. Samygin, Nikolay G. Baryshnikov

“…Therefore, a research objective is justification and development of strategic models of structure optimization of the budgetary support of peasant farms, taking into account efficiency of measures, which relevance is confirmed by scientific research of the leading scientists in this subject area.Materials and methods. …”
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TMS: Ensemble Deep Learning Model for Accurate Classification of Monkeypox Lesions Based on Transformer Models with SVM by Elsaid Md. Abdelrahim, Hasan Hashim, El-Sayed Atlam, Radwa Ahmed Osman, Ibrahim Gad

“…The high-dimensional feature vectors extracted from each network are then concatenated and optimized before being inputted into the SVM classifier. …”
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Optimasi kondisi proses pengeringan ampas wortel menggunakan RSM dan pemanfaatannya sebagai masker gel peel off by Asri Widyasanti, Tiara Namira, Sarifah Nurjanah

“…The dryer used was a food dehydrator operating at a temperature range of 45°C to 65°C for a duration of 20 to 26 hours. This research method was an experimental method with optimization using the Response Surface Methodology (RSM) type Central Composite Design (CCD) in the Design Expert 13 application. …”
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Investigation into the Hyperparameters of Error-Based Adaptive Sampling Approach for Surrogate Modeling by Leonid Legashev, Sergey Tolmachev, Irina Bolodurina, Alexander Shukhman, Lyubov Grishina

“…The best results were shown by the composite Mixed Sampling method with a data refining window the size of 70% and a LightGBM regression model. …”
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The evolution of sprinting performance: Technological and regulatory influences from 1976 to 2024 by Dariusz Tadeusz SKALSKI, Magdalena PROŃCZUK, Kinga ŁOSIŃSKA, Ewelina LULIŃSKA, Joanna MOTOWIDŁO, Petr STASTNY, Adam MASZCZYK, Grzegorz TRYBEK

“…Data sources include official race results, biomechanical studies, and historical records of rule changes. …”
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Construction of symbiosis corridors for heritage resources and optimization of conservation strategies in the basin: A case study of the Yellow River basin in Shandong, China by Ying Yu, Bin Yu, Xinwen Zhang, Lin Ma, Caijun Zhao, Yanyan Jia, Shujun Hou, Xin Han, Kun Li, Xinchuang Chen, Chuanrong Li, Bing Liu

“…The study focuses on the Yellow River Basin in Shandong (YRB-SD) applying ecosystem services (ES), morphological spatial pattern analysis (MSPA) and the comprehensive evaluation model (CEM) to identify source areas. Symbiotic corridors (SCs) are constructed using the circuit theory approach and further optimized by integrating ecological protection redlines (EPR), agro-cultural heritage (ACH), and scenic areas (SA) to enhance spatial resource interaction and improve corridor connectivity. …”
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Optimizing Machine Learning Models with Data-level Approximate Computing: The Role of Diverse Sampling, Precision Scaling, Quantization and Feature Selection Strategies by Ayad M. Dalloo, Amjad J. Humaidi

“…Although many studies compare machine learning classification techniques, the combined use of optimization strategies remains underexplored. Specifically, the combined utilization of feature selection, sampling, quantization, precision scaling, and relaxation methods for the purpose of optimizing and acquiring training and validation data is underexplored, particularly within the context of medical diagnosis datasets. …”
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Optimizing Radiation Dose and Image Quality in Stroke CT Protocols: Proposed Diagnostic Reference Levels for Multiphase CT Angiography and Perfusion Imaging by Robert Forbrig, Christoph G. Trumm, Paul Reidler, Wolfgang G. Kunz, Konstantinos Dimitriadis, Lars Kellert, Johannes Rückel, Thomas Liebig, Robert Stahl

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Thermal error modeling of slant bed CNC lathe spindle based on BiLSTM with data augmentation and grey wolf optimizer algorithm by Musab Alataiqeh, Hu Shi, Qiangqiang Qu, Xuesong Mei, Haitao Wang

“…Furthermore, a predictive model that integrates Bidirectional Long Short-Term Memory (BiLSTM) with hyperparameter optimization via the Grey Wolf Optimizer (GWO) is developed. …”
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Exploring optimal protocols for generating and preserving glucose-responsive insulin-secreting progenitor cells derived from human pluripotent stem cells by Patrizia Tornabene, James M. Wells

“…In this study, we performed a side-by-side functional comparison based on three widely used methods to generate insulin expressing cells and identified optimal stages and conditions for cryopreserving and reconstituting stem cell (SC)-derived islets with a robust GSIS. …”
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Production and characterization of anti-bacterial metabolite(s) from Egyptian archaeological sites by Aalaa A. Youssef, Bassma H. Elwakil, Doaa A. Ghareeb, Zakia A. Olama

“…The most effective fermentation factors were identified as carbon, nitrogen source concentrations and pH levels. Nano-xenortide was synthesized using the ball milling method, followed by its characterization and evaluation for its anticipated antibacterial and anticancer properties. …”
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Benchmarking Quantum Circuit Transformation With QKNOB Circuits by Sanjiang Li, Xiangzhen Zhou, Yuan Feng

“…To enable faithful evaluation of state-of-the-art QCT algorithms, this article introduces qubit mapping benchmark with known near-optimality (QKNOB), a novel benchmark construction method for QCT. …”
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Optimizing genomic DNA extraction from long-term preserved formalin-fixed and paraffin-embedded lung cancer and lymph node tissues by C.S. Faria, C.M. Baldavira, F.R.R. Mangone, M.E.M. Agati, L.D. Kulikowski, M.A. Nagai, E.C.T. do Nascimento, E.S. de Mello, V.L. Capelozzi, L. Antonangelo

“…Improving screening approaches and optimizing tissue utilization for biomarker research are crucial for effective LC management. …”
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Optimal selection of high-production well targets for fault-controlled fractured-vuggy reservoir in Shunbei oil and gas field, Tarim Basin by Lijun GAO, Haiying LI, Wei GONG, Wei YANG, Hongyan LI

“…This process included methods for optimizing well trajectories, selecting well locations, predicting formation pressures before drilling, and predicting wellbore stability, which improved drilling safety and efficiency. …”
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Short‐term electric power and energy balance optimization scheduling based on low‐carbon bilateral demand response mechanism from multiple perspectives by Juan Li, Yonggang Li, Huazhi Liu

“…This paper proposes a short‐term electric power and energy balance optimization scheduling method with low‐carbon bilateral demand response (LCBDR). …”
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Biogas production using zirconium and zinc-based nanocatalysts and evaluation using a predictive modeling approach by Abbas A. Abdullahi, Mustapha D. Garba, Tawfik A. Saleh

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A Geomechanical Modeling Method for Shale Oil Reservoir Cluster Well Area Based on GridSearchCV by HUANG Lei, QI Yin, CHEN Weihua, DU Xianfei, MA Bing, TANG Jizhou

“…This study is a rapid and efficient geomechanical modeling method to optimize the data required for fracturing site operations.…”
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Research on Missing Data Estimation Method for UPFC Submodules Based on Bayesian Multiple Imputation and Support Vector Machines by Xiaoming Yu, Jun Wang, Ke Zhang, Zhijun Chen, Ming Tong, Sibo Sun, Jiapeng Shen, Li Zhang, Chuyang Wang

“…Future research will explore dynamic weight optimization and extend the framework to multi-source heterogeneous data applications.…”
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Optimized Polyhydroxybutyrate Production by <i>Neobacillus niacini</i> GS1 Utilizing Corn Flour, Wheat Bran, and Peptone: A Sustainable Approach by Gaurav Shrimali, Ajit Gangawane, Esha Rami, Hardik Shah, Kashyap Thummar, Dipak Kumar Sahoo, Ashish Patel, Jens Ejbye Schmidt

“…The bacterium was identified using morphological, biochemical, and molecular techniques. The optimization process involved adjusting variables such as inoculum age, inoculum size, incubation time, agitation rate, incubation temperature, pH of the medium, carbon sources, and nitrogen sources. …”
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