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711. A Decentralized Framework for Parameter and State Estimation of Infiltration Processes S. Bo & J. Liu 10.3390/math8050681
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739. Shallow Foundation Settlement Quantification: Application of Hybridized Adaptive Neuro-Fuzzy Inference System Model M. Mohammed et al. 10.1155/2020/7381617
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771. A Study on Accuracy of Meteorological Information for Low Altitude Aerospace around the Airport on the West Coast Y. Cho & K. Yoo 10.12985/ksaa.2020.28.2.053
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783. Spatial Modeling of Potential Lobster Harvest Grounds in Palabuhanratu Bay, West Java, Indonesia M. Mukhtar et al. 10.3390/fishes6020016
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808. Prediction for Overheating Risk Based on Deep Learning in a Zero Energy Building Y. Yuan et al. 10.3390/su12218974
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813. Predicting element concentrations by machine learning models in neutron activation analysis H. Nguyen et al. 10.1007/s10967-024-09424-7
814. An Augmented Multiple Imputation Particle Filter for River State Estimation With Missing Observation Z. Ismail & N. Jalaludin 10.3389/frobt.2021.788125
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1232. A pilot study of gaseous pollutants' measurement (NO&lt;sub&gt;2&lt;/sub&gt;, SO&lt;sub&gt;2&lt;/sub&gt;, NH&lt;sub&gt;3&lt;/sub&gt;, HNO&lt;sub&gt;3&lt;/sub&gt; and O&lt;sub&gt;3&lt;/sub&gt;) in Abidjan, Côte d'Ivoire: contribution to an overview of gaseous pollution in African cities J. Bahino et al. 10.5194/acp-18-5173-2018
1233. Predicting EuroQoL 5 Dimensions 5 Levels (EQ-5D-5L) Utilities from Older People’s Quality of Life Brief Questionnaire (OPQoL-Brief) Scores B. Kaambwa & J. Ratcliffe 10.1007/s40271-017-0259-3
1234. Identifying facile material descriptors for Charpy impact toughness in low-alloy steel via machine learning Y. Chen et al. 10.1016/j.jmst.2022.05.051
1235. Volunteered geographic information quality assessment using trust and reputation modelling in land administration systems in developing countries K. Moreri et al. 10.1080/13658816.2017.1409353
1236. Interannual variability of Indonesian throughflow in the Flores Sea P. Putriani et al. 10.1088/1755-1315/278/1/012064
1237. In-Depth Analysis and Prediction of Coupling Metrics of Open Source Software Projects M. Saini et al. 10.4018/JITR.301267
1238. Unlocking waste potential: A neural network approach to forecasting sustainable acetaldehyde production from ethanol upcycling in biomass waste gasification Y. Ayub et al. 10.1016/j.energy.2024.131482
1239. Predicting water quality associated with land cover change in the Grootdraai Dam catchment, South Africa A. du Plessis et al. 10.1080/02508060.2015.1067752
1240. Improved Simultaneous Algebraic Reconstruction Technique Algorithm for Positron-Emission Tomography Image Reconstruction via Minimizing the Fast Total Variation A. Boudjelal et al. 10.1016/j.jmir.2017.09.005
1241. Relaxation factor optimization based on cuckoo search algorithm for limited – Angle CT A. Gomeri et al. 10.1016/j.bspc.2021.103067
1242. Antimicrobial resistance trends in Escherichia coli isolated from diseased food‐producing animals in France: A 14‐year period time‐series study C. Boireau et al. 10.1111/zph.12412
1243. Demographic Factors Affecting Fuzzy Grading: A Hierarchical Linear Regression Analysis D. Doz et al. 10.3390/math11061488
1244. Soft-computing techniques for prediction of soils consolidation coefficient M. Nguyen et al. 10.1016/j.catena.2020.104802
1245. Analytical approaches for studying the stability of laminated roof strata M. Shabanimashcool & C. Li 10.1016/j.ijrmms.2015.06.007
1246. Machine Learning Analysis of Effect of Aggregate Properties on Drying Shrinkage in Concrete Y. OKAZAKI et al. 10.3151/crt.34.37
1247. Applying Machine Learning to Estimate the Effort and Duration of Individual Tasks in Software Projects A. Sousa et al. 10.1109/ACCESS.2023.3307310
1248. Modified-BRISQUE as no reference image quality assessment for structural MR images L. Chow & H. Rajagopal 10.1016/j.mri.2017.07.016
1249. A robust model structure selection method for small sample size and multiple datasets problems Y. Gu & H. Wei 10.1016/j.ins.2018.04.007
1250. Research on the Modality Transfer Method of Brain Imaging Based on Generative Adversarial Network D. Cheng et al. 10.3389/fnins.2021.655019
1251. Sensitivity and optimization analysis of pillar arrangement on the thermal–hydraulic performance of vapor chamber S. Zhu & Y. Li 10.1016/j.applthermaleng.2023.122246
1252. Predicting Soil Quality Index with a Deep Regression Approach Ş. Işık et al. 10.1080/00103624.2024.2305838
1253. Maize [Zea Mays (L.)] crop-nutrient response functions extrapolation for Sub-Saharan Africa G. Tesfahunegn & C. Wortmann 10.1007/s10705-017-9887-1
1254. Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption — A systematic review M. Khalil et al. 10.1016/j.engappai.2022.105287
1255. A Sequential Ensemble Model for Communicable Disease Forecasting N. Sultana et al. 10.2174/1574893614666191202153824
1256. Artificial Vector Calibration Method for Differencing Magnetic Gradient Tensor Systems Q. Li et al. 10.3390/s18020361
1257. A 100 m population grid in the CONUS by disaggregating census data with open-source Microsoft building footprints X. Huang et al. 10.1080/20964471.2020.1776200
1258. Back-Propagation Neural Network Optimized by K-Fold Cross-Validation for Prediction of Torsional Strength of Reinforced Concrete Beam Z. Lyu et al. 10.3390/ma15041477
1259. A Mixture-of-Gaussians model for estimating the magic barrier of the recommender system H. Zhang et al. 10.1016/j.asoc.2021.108162
1260. Eye fatigue estimation using blink detection based on Eye Aspect Ratio Mapping(EARM) A. Kuwahara et al. 10.1016/j.cogr.2022.01.003
1261. Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson’s Disease J. Mekyska et al. 10.1007/s12559-018-9575-8
1262. Optimising the computerised adaptive test to reliably reduce the burden of administering the CLEFT-Q: A Monte Carlo simulation study C. Harrison et al. 10.1016/j.bjps.2020.12.029
1263. Novel Online Network Intrusion Detection System for Industrial IoT Based on OI-SVDD and AS-ELM E. Gyamfi & A. Jurcut 10.1109/JIOT.2022.3172393
1264. Potential Impact of Future Climates on Rice Production in Ecuador Determined Using Kobayashi’s ‘Very Simple Model’ D. Portalanza et al. 10.3390/agriculture12111828
1265. Enhancing LSTM Predictions: A Novel Approach to Stock Market Efficiency Evaluation with Retrainable LSTM Model M. Gharooni Khoshkehbar et al. 10.2139/ssrn.4782069
1266. Chemical recycling of polyethylene terephthalate (PET) to monomers: Mathematical modeling of the transesterification reaction of bis(2-hydroxyethyl) terephthalate to dimethyl terephthalate L. Brivio et al. 10.1016/j.ces.2023.119466
1267. Research on Multistate Variable Prediction of a Master‐Slave Electric‐Hydraulic Hybrid Vehicle Based on CNN‐LSTM Model with Attention Mechanism H. Chen et al. 10.1002/ente.202300919
1268. DFT calculations of metal-organic I-III-VI semiconductor clusters: Benchmark of exchange-correlation functionals and localized basis sets A. Olejniczak et al. 10.1016/j.commatsci.2019.03.036
1269. Prediction of surface roughness in duplex stainless steel face milling using artificial neural network G. Vasconcelos et al. 10.1007/s00170-024-13955-4
1270. Assessment and Calibration of ERA5 Severe Winds in the Atlantic Ocean Using Satellite Data R. Campos et al. 10.3390/rs14194918
1271. How accurate are estimates of flower visitation rates by pollinators? Lessons from a spatially explicit agent-based model M. Santos et al. 10.1016/j.ecoinf.2020.101077
1272. Inductive reasoning for significant concept and pattern discovery in cognitive IoT V. Jha & P. Tripathi 10.1007/s11761-024-00416-9
1273. Rainfall estimation methods in the Brazilian semiarid region: 30‐year evaluation on a monthly scale V. dos Santos et al. 10.1002/joc.6723
1274. A Two-Parameter Model for Water-Lubricated Pipeline Transportation of Unconventional Crudes S. Rushd et al. 10.3390/en14185665
1275. Rock Strain Prediction Using Deep Neural Network and Hybrid Models of ANFIS and Meta-Heuristic Optimization Algorithms T. Pradeep et al. 10.3390/infrastructures6090129
1276. Deep learning mechanism and big data in hospitality and tourism: Developing personalized restaurant recommendation model to customer decision-making S. Yang et al. 10.1016/j.ijhm.2024.103803
1277. A review of the top of the barrier nanotransistor models for semiconductor nanomaterials M. Chuan et al. 10.1016/j.spmi.2020.106429
1278. Bernstein polynomials and Bezier curves: a novel modeling approach to secure ECG data transmission P. Rajagopal et al. 10.1007/s41870-023-01629-5
1279. Predicting exposure concentrations of chemicals with a wide range of volatility and hydrophobicity in different multi-well plate set-ups J. Stadnicka-Michalak et al. 10.1038/s41598-021-84109-9
1280. SVD-based adaptive fuzzy for generalized transportation M. Aljanabi et al. 10.1016/j.aej.2024.03.020
1281. Prediction of Polish Holstein's economical index and calving interval using machine learning J. Wełeszczuk et al. 10.1016/j.livsci.2022.105039
1282. Data-Driven Approaches for Vibroacoustic Localization of Leaks in Water Distribution Networks R. Liu et al. 10.1007/s40710-024-00682-x
1283. Determination of the composition of heterogeneous binder solutions by surface plasmon resonance biosensing J. Gaudreault et al. 10.1038/s41598-021-83268-z
1284. FDST-GCN: A Fundamental Diagram based Spatiotemporal Graph Convolutional Network for expressway traffic forecasting J. Zhang et al. 10.1016/j.physa.2023.129173
1285. Mobility aware autonomic approach for the migration of application modules in fog computing environment J. Martin et al. 10.1007/s12652-020-01854-x
1286. Influence of climate variability and land cover dynamics on the spatio-temporal NDVI patterns in western hydrological regions of Bangladesh J. Akhter & R. Afroz 10.1016/j.heliyon.2024.e32625
1287. Development of High Resolution Cloud Cover Climatology Databank Using Merged Manual and Satellite Datasets over Ghana, West Africa P. Asilevi Junior et al. 10.1080/07055900.2022.2072266
1288. Preparation of multifunctional hydrogels based on co-pigment-polysaccharide complexes and establishment of a machine learning monitoring platform F. Cui et al. 10.1016/j.ijbiomac.2024.129258
1289. Proposal of Bot Detection Method by Multi-Source Access Log Analysis T. Tanaka & K. Tsuda 10.1541/ieejeiss.141.1205
1290. Review of medical image quality assessment L. Chow & R. Paramesran 10.1016/j.bspc.2016.02.006
1291. A new infiltration model for simulating soil water movement in canal irrigation under laboratory conditions Q. Fu et al. 10.1016/j.agwat.2018.10.021
1292. Acoustic sampling of Antarctic krill with simulated underwater buoyancy gliders: Does the sawtooth dive pattern work? D. Kinzey et al. 10.3389/fmars.2022.1064181
1293. A method on modelling and analyzing the power losses in vehicle transmission Y. Shen & S. Rinderknecht 10.1007/s10010-018-0276-y
1294. Modeling Salmonella spp. inactivation in chicken meat subjected to isothermal and non-isothermal temperature profiles T. Milkievicz et al. 10.1016/j.ijfoodmicro.2021.109110
1295. Predicting Missing Values in Spatio-Temporal Remote Sensing Data F. Gerber et al. 10.1109/TGRS.2017.2785240
1296. New strength–strain model and stress–strain relationship for square and rectangular concrete columns confined with CFRP wraps N. Diboune et al. 10.1080/15376494.2022.2067604
1297. Estimation of the Concentration of XCO2 from Thermal Infrared Satellite Data Based on Ensemble Learning X. Gong et al. 10.3390/atmos15010118
1298. Porovnání kvality schematizace údolnice extrahované z dat DMR 4G, DMR 5G a jeho derivátů L. Bureš et al. 10.46555/VTEI.2024.01.001
1299. Addressing Spatial Heterogeneity in the Discrete Generalized Nash Model for Flood Routing B. Yan et al. 10.3390/w13213133
1300. Predicting the Performance of PEM Fuel Cells by Determining Dehydration or Flooding in the Cell Using Machine Learning Models J. Zaveri et al. 10.3390/en16196968
1301. The effect of climate change on groundwater level and its prediction using modern meta-heuristic model R. Dehghani et al. 10.1016/j.gsd.2021.100702
1302. Comparing field-scale eddy covariance measurements and crop coefficient estimates of alfalfa evapotranspiration to OpenET model estimates and exploring water budget implications in a dryland environment L. Sabiston et al. 10.1007/s00271-024-00941-7
1303. Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting M. AL-Musaylh et al. 10.1016/j.apenergy.2018.02.140
1304. Early warning indicators for mesophilic anaerobic digestion of corn stalk: a combined experimental and simulation approach Y. Wu et al. 10.1186/s13068-019-1442-7
1305. Stabilization of Expansive Clays with Basalt Fibers and Prediction of Strength by Machine Learning S. Sert et al. 10.1007/s13369-024-08752-w
1306. A comparison of the performance of the CSM-CERES-Maize and EPIC models using maize variety trial data Y. Bao et al. 10.1016/j.agsy.2016.10.006
1307. Expertise Detection in Crowdsourcing Forums Using the Composition of Latent Topics and Joint Syntactic–Semantic Cues Y. Woldemariam 10.1007/s42979-021-00832-0
1308. Comparison of RBF and MLP neural network performance and regression analysis to estimate carbon sequestration F. Cheshmberah et al. 10.1007/s13762-020-02696-y
1309. The Phase Noise Transfer Model in the Phase-Generated-Carrier-Based Interferometric Fiber-Optic Sensor Y. Zhang et al. 10.1109/JSEN.2022.3180587
1310. Enhanced Runoff Modeling by Incorporating Information from the GR4J Hydrological Model and Multiple Remotely Sensed Precipitation Datasets C. Mo et al. 10.3390/w16040530
1311. Accounting for Local Geological Variability in Sequential Simulations—Concept and Application A. Linsel et al. 10.3390/ijgi9060409
1312. Real-Time Remote Patient Monitoring and Alarming System for Noncommunicable Lifestyle Diseases H. Ko et al. 10.1155/2023/9965226
1313. Adaptive Antenna Array Control Algorithm in Radiocommunication Systems M. Wnuk 10.3390/a17020081
1314. Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms M. Al-Musaylh et al. 10.3390/en13092307
1315. Toward Improving the Efficiency of Software Development Effort Estimation via Clustering Analysis V. Van Hai et al. 10.1109/ACCESS.2022.3185393
1316. Climate change and crop yields in Zambia: historical effects and future projections K. Mulungu et al. 10.1007/s10668-020-01146-6
1317. CFPNet-M: A light-weight encoder-decoder based network for multimodal biomedical image real-time segmentation A. Lou et al. 10.1016/j.compbiomed.2023.106579
1318. Downdrift Port Siltation Adjacent to a River Mouth: Mechanisms and Effects of Littoral Sediment Transport to the Navigation Channel A. Romdani et al. 10.1061/(ASCE)WW.1943-5460.0000700
1319. Calibration of microwave antenna for porous materials moisture evaluation using frequency domain analysis K. Tabiś et al. 10.1088/1742-6596/2628/1/012030
1320. An materials informatics approach to Ni-based single crystal superalloys lattice misfit prediction X. Jiang et al. 10.1016/j.commatsci.2017.09.061
1321. Surface Roughness Prediction of AISI 304 Steel in Nanofluid Assisted Turning Using Machine Learning Technique P. Prasad et al. 10.4028/p-wwb643
1322. Machine learning–assisted prediction of heat fluxes through thermally anisotropic building envelopes Z. Shen et al. 10.1016/j.buildenv.2023.110157
1323. A novel approach to predict green density by high-velocity compaction based on the materials informatics method K. Zhang et al. 10.1007/s12613-019-1724-x
1324. Monitoring, Diffusion and Source Speculation Model of Urban Soil Pollution Z. Li et al. 10.3390/pr8111339
1325. INITIAL APPLICATION OF NONLINEAR REGRESSION MODELS TO ASSESS BIOLOGICAL SELF-PURIFICATION CAPACITY IN VUNG RO BAY (PHU YEN) N. Huan & N. Hieu 10.15625/1859-3097/18/4A/13641
1326. Spurring sustainability commitment strategy of family-owned SMEs: A multi-analytical SEM & ANFIS perspective K. Khaw et al. 10.1016/j.hitech.2023.100453
1327. Development of a System for Predicting Photovoltaic Power Generation and Detecting Defects Using Machine Learning S. Lee & W. Lee 10.3745/KTCCS.2016.5.10.353
1328. Prediction of total carotenoids, color, and moisture content of carrot slices during hot air drying using non‐invasive hyperspectral imaging technique R. Md Saleh et al. 10.1111/jfpp.16460
1329. Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm B. Mohammadi & S. Mehdizadeh 10.1016/j.agwat.2020.106145
1330. Analyzing the ENVI-met microclimate model’s performance and assessing cool materials and urban vegetation applications–A review S. Tsoka et al. 10.1016/j.scs.2018.08.009
1331. Machine learning technology for early prediction of grain yield at the field scale: A systematic review J. Leukel et al. 10.1016/j.compag.2023.107721
1332. Intercomparison of tropical Indian Ocean circulation in ocean reanalysis and evaluation in CMIP6 climate models P. Bhanu Deepika et al. 10.1016/j.dynatmoce.2024.101456
1333. Evolutionary Framework with Bidirectional Long Short-Term Memory Network for Stock Price Prediction H. Zheng et al. 10.1155/2021/8850600
1334. Ultrasonic testing on evaluation of concrete residual compressive strength: A review M. Moura et al. 10.1016/j.conbuildmat.2023.130887
1335. Machine learning models for predicting physical properties in asphalt road construction: A systematic review J. Leukel et al. 10.1016/j.conbuildmat.2024.137397
1336. Assessing spatial predictive models in the environmental sciences: Accuracy measures, data variation and variance explained J. Li 10.1016/j.envsoft.2016.02.004
1337. Electrical resistivity tomography for characterization of carbon-rich rocks (shungites) P. Ryazantsev & Y. Deines 10.1016/j.jappgeo.2022.104667
1338. Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data A. Ahmed et al. 10.3390/rs13040554
1339. MODWT-ANN hybrid models for daily precipitation estimates with time-delayed entries in Amazon region E. Gomes et al. 10.1007/s10661-022-09939-0
1340. Deep Learning Estimation of Daily Ground‐Level NO2 Concentrations From Remote Sensing Data M. Ghahremanloo et al. 10.1029/2021JD034925
1341. GAT-EGRU: A Deep Learning Prediction Model for PM2.5 Coupled with Empirical Modal Decomposition Algorithm G. Yang et al. 10.1007/s11518-023-5562-z
1342. Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada R. Barzegar et al. 10.1016/j.jhydrol.2019.06.075
1343. Modeling and scenario-based risk estimation of Listeria monocytogenes in meatballs and Sundae, a Korean black pudding, under different packaging conditions J. Park & H. Kim 10.1016/j.foodcont.2023.109886
1344. Textual variations affect human judgements of sentiment values P. Teh et al. 10.1016/j.elerap.2022.101149
1345. Comparing COSMO-CLM simulations and MODIS data of snow cover extent and distribution over Italian Alps P. Da Ronco et al. 10.1007/s00382-016-3054-2
1346. Applying sustainable development goals in financial forecasting using machine learning techniques A. Chang et al. 10.1002/csr.2694
1347. Benchmark of Electricity Consumption Forecasting Methodologies Applied to Industrial Kitchens J. Amantegui et al. 10.3390/buildings12122231
1348. Substrate moisture variations of extensive green roofs with different structural configurations in a semi-arid region: Observational data and dynamic simulation W. Liu et al. 10.1016/j.jhydrol.2023.130133
1349. Optimization algorithms as training approach with hybrid deep learning methods to develop an ultraviolet index forecasting model A. Ahmed et al. 10.1007/s00477-022-02177-3
1350. Prediction of battery thermal behaviour in the presence of a constructal theory-based heat pipe (CBHP): A multiphysics model and pattern-based machine learning approach K. Boonma et al. 10.1016/j.est.2022.103963
1351. From Eye Movements to Personality Traits: A Machine Learning Approach in Blood Donation Advertising S. Balaskas et al. 10.3390/ai5020034
1352. Generating high-resolution daily soil moisture by using spatial downscaling techniques: a comparison of six machine learning algorithms Y. Liu et al. 10.1016/j.advwatres.2020.103601
1353. Evaluation of using the time-dependent density functional theory in studying the fluorescence properties of coumarin derivatives N. Hien et al. 10.1039/D3NJ05220F
1354. Study on Autoencoder-based Plant Piping Leak Detection S. Park et al. 10.14801/jkiit.2023.21.11.1
1355. Continuous Assessment of Function and Disability via Mobile Sensing: Real-World Data-Driven Feasibility Study E. Sükei et al. 10.2196/47167
1356. Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time S. Ayvaz & K. Alpay 10.1016/j.eswa.2021.114598
1357. A Statistical Approach on Estimations of Climate Change Indices by Monthly Instead of Daily Data K. Hasel et al. 10.3390/atmos14111634
1358. Multi-objective optimization of petroleum engineering problems using a hybrid workflow: Combination of particle swarm optimization, fuzzy logic, imperialist competitive algorithm and response surface methodology M. Karambeigi et al. 10.1016/j.geoen.2023.211579
1359. Estimating Maximum Daily Precipitation in the Upper Vistula Basin, Poland D. Młyński et al. 10.3390/atmos10020043
1360. Structural monitoring data repair based on a long short-term memory neural network B. Panfeng et al. 10.1038/s41598-024-60196-2
1361. Desempenho de Métodos de Preenchimento de Falhas em Dados de Evapotranspiração de Referência para Região Oeste do Paraná T. Giovanella et al. 10.1590/0102-77863630001
1362. Modeling Electromagnetic Navigation Systems S. Charreyron et al. 10.1109/TRO.2020.3047053
1363. Developing a More Reliable Framework for Extracting Traffic Data From a UAV Video X. Li & J. Wu 10.1109/TITS.2023.3290827
1364. Satellite‐based regional‐scale evapotranspiration estimation mapping of the rice bowl of Tamil Nadu: A little water to spare* M. Hari et al. 10.1002/ird.2553
1365. Predicting the experimental data of the substrate specificity of Aspergillus niger inulinase using mathematical models, estimating kinetic constants in the Michaelis–Menten equation, and sensitivity analysis M. Germec & I. Turhan 10.1007/s13399-021-01830-1
1366. Integrating machine learning models with cross-validation and bootstrapping for evaluating groundwater quality in Kanchanaburi province, Thailand N. Thanh et al. 10.1016/j.envres.2024.118952
1367. A parallel methodology using radial basis functions versus machine learning approaches applied to environmental modelling V. Migallón et al. 10.1016/j.jocs.2022.101817
1368. CGP-Uformer: A low-dose CT image denoising Uformer based on channel graph perception H. Yan et al. 10.3233/XST-230158
1369. Process simulation of hydrogen production through biomass gasification: Introduction of torrefaction pre-treatment Y. Yong & R. Abdul Rasid 10.1016/j.ijhydene.2021.07.010
1370. Sensitivity analysis of observational nudging methodology to reduce error in wind resource assessment (WRA) in the North Sea M. Mylonas et al. 10.1016/j.renene.2017.12.088
1371. How fast does tufa grow? Very high‐resolution measurement of the tufa growth rate on artificial substrates by the development of a contactless image‐based modelling device I. Marić et al. 10.1002/esp.4883
1372. Lesson (un)replicated: Predicting levels of political violence in Afghan administrative units per month using ARFIMA and ICEWS data T. Libel 10.1017/dap.2022.26
1373. Distribution of phytoplankton using remote sensing in Cimandiri Estuary, Sukabumi, West Java F. Firdaus et al. 10.1088/1755-1315/481/1/012066
1374. Utilizing Artificial Intelligence to Predict the Superplasticizer Demand of Self-Consolidating Concrete Incorporating Pumice, Slag, and Fly Ash Powders J. Liu et al. 10.3390/ma14226792
1375. Comparing Single and Multiple Imputation Approaches for Missing Values in Univariate and Multivariate Water Level Data N. Umar & A. Gray 10.3390/w15081519
1376. Forecasting Liquefied Natural Gas Bunker Prices Using Artificial Neural Network for Procurement Management K. Kim et al. 10.3390/jmse10121814
1377. Assessment of Climatic Parameters for Future Climate Change in a Major Agricultural State in India R. Jha et al. 10.3390/cli9070111
1378. Using machine learning to extract information and predict outcomes from reports of randomised trials of smoking cessation interventions in the Human Behaviour-Change Project R. West et al. 10.12688/wellcomeopenres.20000.1
1379. Reliability and Validity Analysis of Correlations on Strength and Consolidation Parameters for Ankara Clay and Proposal for a New Correlation E. Tuc et al. 10.1007/s13369-024-09181-5
1380. Ensemble Machine-Learning-Based Prediction Models for the Compressive Strength of Recycled Powder Mortar Z. Fei et al. 10.3390/ma16020583
1381. Multi-objective optimization for limiting tunnel-induced damages considering uncertainties L. Zhang & P. Lin 10.1016/j.ress.2021.107945
1382. Generating virtual vehicle trajectories for the estimation of emissions and fuel consumption N. Tsanakas et al. 10.1016/j.trc.2022.103615
1383. Evaluating 3D human face reconstruction from a frontal 2D image, focusing on facial regions associated with foetal alcohol syndrome F. Atuhaire et al. 10.17159/sajs.2023/12064
1384. Soil health spatial-temporal variation influence soil security on Midwestern, U.S. farms B. Crookston et al. 10.1016/j.soisec.2021.100005
1385. MG-CNFNet: A multiple grained channel normalized fusion networks for medical image deblurring X. Zeng et al. 10.1016/j.bspc.2023.104572
1386. Jitter Decomposition by Convolutional Neural Networks N. Ren et al. 10.1109/TEMC.2020.3047080
1387. Molecular modelling studies of tricyclic triazinone analogues as potential PKC-θ inhibitors through combined QSAR, molecular docking and molecular dynamics simulations techniques L. Meng et al. 10.1016/j.jtice.2018.06.017
1388. A Survey of Generative Adversarial Networks for Synthesizing Structured Electronic Health Records G. Ghosheh et al. 10.1145/3636424
1389. Assessing ventilation cavity design impact on the energy performance of rainscreen wall assemblies: A CFD study B. Nghana et al. 10.1016/j.buildenv.2021.107789
1390. A New Prediction Method of Industrial Atmospheric Pollutant Emission Intensity Based on Pollutant Emission Standard Quantification T. Ju et al. 10.2139/ssrn.4016135
1391. Assessment of macronutrients status using digital soil mapping techniques: a case study in Maru’ak area in Lorestan Province, Iran A. Salmanpour et al. 10.1007/s10661-023-11145-5
1392. Netizens' behavior towards a blockchain-based esports framework: a TPB and machine learning integrated approach J. Yadav et al. 10.1108/IJSMS-06-2021-0130
1393. A novel spatial optimization approach for the cost-effectiveness improvement of LID practices based on SWMM-FTC S. Li et al. 10.1016/j.jenvman.2022.114574
1394. Machine learning-based digital mapping of soil organic carbon and texture in the mid-Himalayan terrain N. Rengma et al. 10.1007/s10661-023-11608-9
1395. Research on electric vehicle charging load prediction method based on spectral clustering and deep learning network F. Xin et al. 10.3389/fenrg.2024.1294453
1396. Pavement surface condition estimation based on geospatial modelling S. Zhang et al. 10.1080/19475683.2017.1325404
1397. Estimation of Soil Nutrients and Fertilizer Dosage Using Ion-Selective Electrodes for Efficient Soil Management A. Kumari et al. 10.1080/00103624.2024.2334255
1398. Experimental analysis of the effects of ship motion on hydrogen dispersion in an enclosed area B. Kim & K. Hwang 10.1016/j.ijhydene.2023.04.320
1399. Spatial Predictions and Associated Uncertainty of Annual Soil Respiration at the Global Scale D. Warner et al. 10.1029/2019GB006264
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1744. The Methodology Matters: What Influences Market Reaction, and Post-Issue Returns in Seasoned Equity Offerings? C. Krishnan & M. Wu 10.3390/jrfm15100473
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1819. Numeric promoter description – A comparative view on concepts and general application R. Beier & D. Labudde 10.1016/j.jmgm.2015.11.011
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1906. What is the Accuracy of PEEK Implants for Cranioplasty in Comparison to Their Patient Specific Surgical Plan? A. Wandell et al. 10.1016/j.joms.2022.09.004
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1918. Development of a Short-Form Stroke Impact Scale Using a Machine Learning Algorithm for Patients at the Subacute Stage S. Lee et al. 10.5014/ajot.2022.049136
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