Acceptance Rate:
36%
Review Speed:
80 days
Authors
| TOP COUNTRIES | AUTHORS | |
| 1 | Iran | 109 |
| 2 | India | 57 |
| 3 | Nigeria | 27 |
| 4 | United States | 23 |
| 5 | China | 8 |
| 6 | Greece | 8 |
| 7 | Turkey | 7 |
| 8 | Philippines | 6 |
| 9 | Australia | 5 |
| 10 | Saudi Arabia | 4 |
| 11 | Bangladesh | 3 |
| 12 | Brazil | 3 |
| 13 | Italy | 3 |
| 14 | Malaysia | 3 |
| 15 | Switzerland | 3 |
| 16 | Canada | 2 |
| 17 | Egypt | 2 |
| 18 | Ethiopia | 2 |
| 19 | Oman | 2 |
| 20 | Tunisia | 2 |
| 21 | United Kingdom | 2 |
| 22 | Algeria | 1 |
| 23 | Bahrain | 1 |
| 24 | Croatia | 1 |
| 25 | Iraq | 1 |
| 26 | Poland | 1 |
Most Cited (WOS):
| NO | PT | AU | SO | TI | PY | VL | IS | BP | EP | DI | TC |
| 1 | J | Kulkarni, P. S.; Londhe, S. N.; Deo, M. C. | Journal of Soft Computing in Civil Engineering | Artificial neural networks for construction management: a review | 2017 | 70 | 88 | DOI 10.22115/SCCE.2017.49580 | 17 | ||
| 2 | J | Mikaeil, Reza; Haghshenas, Sina Shaffiee; Ozcelik, Yilmaz; Haghshenas, Sami Shaffiee | Soft Computing in Civil Engineering | Development of Intelligent Systems to Predict Diamond Wire Saw Performance | 2017 | 1 | 2 | 52 | 69 | DOI 10.22115/SCCE.2017.49092 | 15 |
| 3 | J | Heidari, A.; Hashempour, M.; Tavakoli, D. | Soft Comput. Civil Eng. | Using of backpropagation neural network in estimating of compressive strength of waste concrete | 2017 | 1 | 1 | 54 | 64 | DOI 10.22115/SCCE.2017.48040 | 10 |
| 4 | J | Keshavarz, Z. | J | Application of ANN and ANFIS models in determining compressive strength of concrete | 2018 | 2 | 1 | 62 | 70 | DOI 10.22115/SCCE.2018.51114 | 10 |
| 5 | J | Mirrashid, M. | Soft Comput. Civ. Eng. | Comparison study of soft computing approaches for estimation of the non-ductile RC joint shear strength | 2017 | 1 | 1 | 12 | 28 | DOI 10.22115/SCCE.2017.46318 | 8 |
| 6 | J | Ebtehaj, I.; Bonakdari, H. | Journal of Soft Computing in Civil Engineering | No-deposition sediment transport in sewers using gene expression programming | 2017 | 1 | 1 | 29 | 53 | 8 | |
| 7 | J | Arifuzzaman, M. | Soft Comput. Civ. Eng. | Advanced ANN prediction of moisture damage in CNT modified asphalt binder | 2017 | 1 | 1 | 11 | 6 | ||
| 8 | J | Lataniotis, C; Marelli, S; Sudret, B | J Soft Comput Civ Eng | The Gaussian process modelling module in UQLab | 2017 | 3 | 91 | 116 | DOI 10.22115/SCCE.2018.129323.1062 | 5 | |
| 9 | J | Naderpour, H; Mirrashid, M | Soft Comput Civ Eng | A neuro-fuzzy model for punching shear prediction of slab-column connections reinforced with FRP | 2019 | 3 | 1 | 16 | 26 | DOI 10.22115/SCCE.2018.136068.1073 | 5 |
| 10 | J | Akinpelu, Mutiu ; Adedeji , Adeola | Soft Computing in Civil Engineering | Structural Response of Reinforced Self-Compacting Concrete Deep Beam using Finite Element Method | 2018 | 2 | 1 | 36 | 61 | 4 | |
| 11 | J | Chandanshive, V.; Kambekar, A. R. | Journal of Soft Computing in Civil Engineering | Estimation of building construction cost using artificial neural networks | 2019 | 3 | 91 | 107 | 4 | ||
| 12 | J | Charhate, S.; Subhedar, M.; Adsul, N. | J. Soft Comput. Civ. Eng. | Prediction of concrete properties using multiple linear regression and artificial neural network | 2018 | 2-3 | 27 | 38 | DOI 10.22115/SCCE.2018.112140.1041 | 3 | |
| 13 | J | Akin, O. O.; Abejide, O. S. | Journal of Soft Computing in Civil Engineering | Modelling of concrete compressive strength admixed with GGBFS using gene expression programming | 2019 | 3 | 2 | 43 | 53 | DOI 10.22115/SCCE.2019.178214.1103 | 3 |
| 14 | J | Vahidi, B.; ForoughiNematolahi, A. | J Soft ComputCivEng | Physical and physic-chemical based optimization methods: a review | 2019 | 3 | 4 | 12 | 27 | DOI 10.22115/SCCE.2020.214959.1161 | 3 |
| 15 | J | Teimouri, F.; Ghatee, M. | arXiv preprint arXiv | A real-time warning system for rear-end collision based on random forest classifier | 2018 | 3 | |||||
| 16 | J | Esmailzadeh, A.; Mikaeil, R.; Sadegheslam, G.; Aryafar, A; Hosseinzadeh Gharehgheshlagh, H. | Journal of Soft Computing in Civil Engineering. | Selection of an appropriate method to extract the dimensional stones using FDAHP & TOPSIS techniques | 2018 | 2 | 1 | 101 | 116 | 2 | |
| 17 | J | Londhe, S.N.; Gavraskar, S. | J. Soft Comput. Civ. Eng. | Stream flow forecasting using least square support vector regression | 2018 | 2 | 56 | 88 | 2 | ||
| 18 | J | Salahudeen, AB; Ijimdiya, TS; Eberemu, AO; Osinubi, KJ | Soft Comput Civ Eng | Artificial neural networks prediction of compaction characteristics of black cotton soil stabilized with cement kiln dust | 2018 | 2 | 50 | 71 | DOI 10.22115/SCCE.2018.128634.1059 | 2 | |
| 19 | J | Heidari, A; Raeisi, J | Optimum Design of Structures Against Earthquake by Simulated Annealing Using Wavelet Transform | Optimum Design of Structures Against Earthquake by Simulated Annealing Using Wavelet Transform | 2018 | 23 | 33 | DOI 10.22115/SCCE.2018.125682.1055 | 2 | ||
| 20 | J | Dutta, RK.; Rani, R.; Rao, TG. | J Soft Comput Civ Eng | Prediction of ultimate bearing capacity of skirted footing resting on sand using artificial neural networks | 2018 | 2 | 34 | 46 | 2 | ||
| 21 | J | Farahnaki,, R.; Azimi,, A. | Soft Computing in Civil Engineering | An equation to determine the ultimate flexural load of RC beams strengthened with CFRP laminates | 2018 | 2 | 4 | 86 | 95 | DOI 10.22115/SCCE.2018.136500.1076 | 2 |
| 22 | J | Olivier, L.; Jimoh, A.; Adedeji, A | Soft Compu. Civil Eng. | Optimisation of Recycled Thermoplastic Plate (Tile) | 2017 | 1 | 2 | 19 | 34 | 1 | |
| 23 | J | Ismaeil, Mohammed; Elhadi, Khalid; Alashker, Yasser; Yousef, Isam Eldin | Soft Computing in Civil Engineering | Seismic Analysis and Design of a Multi-Storey Building Located in Haql City, KSA | 2017 | 1 | 2 | 35 | 51 | 1 | |
| 24 | J | Singhal, A.; Gopalakrishnan, K.; Khaitan, S. K. | Journal of Soft Computing in Civil Engineering. | Predicting Budget from Transportation Research Grant Description: An Exploratory Analysis of Text Mining and Machine Learning Techniques | 2017 | 1-2 | 89 | 102 | DOI 10.22115/SCCE.2017.49604 | 1 | |
| 25 | J | Srikanth, S.; Mehar, A. | J. soft Comput. Civ. Eng. | Development of MLR, ANN and ANFIS Models for Estimation of PCUs at Different Levels of Service | 2018 | 2 | 1 | 18 | 35 | 1 | |
| 26 | J | Mohammed, K; Karim, IA; Aziz, FNAA; Law, TH | J Soft Com Civ Engg | Profiled composite slab strength determination method | 2018 | 2 | 2 | 31 | 55 | 1 | |
| 27 | J | Shahmoradi Qomi, H; Voitenko, P; Taheri, M | Soft Comput Civil Eng | Reliability analysis of structures using modified fa-pso algorithm | 2018 | 2 | 2 | 93 | 105 | 1 | |
| 28 | J | Romero, R.V. | Soft Comput. Civil Eng. | An analysis of sight distances considering both the vertical and horizontal curves of a tourist bound destination highway in camarines sur: the lagonoy-presentacion section | 2018 | 2 | 2 | 116 | 126 | 1 | |
| 29 | J | El-Ghandour, HA; Elbeltagi, E | J Soft Comput Civ Eng | Developing four metaheuristic algorithms for multiple-objective management of groundwater | 2018 | 2 | 4 | 1 | 22 | 1 | |
| 30 | J | Gokkus, U; Yildirim, M; Yilmazoglu, A | J Soft Comput Civ Eng | Prediction of concrete and steel materials contained by cantilever retaining wall by modeling the artificial neural networks | 2018 | 2 | 47 | 61 | DOI 10.22115/SCCE.2018.137218.1078 | 1 | |
| 31 | J | Jiang, W.; Ye, J.; Cui, W. | Journal of Soft Computing in Civil Engineering | Scale effect and anisotropic analysis of rock joint roughness coefficient neutrosophic interval statistical numbers based on neutrosophic statistics | 2018 | 2-4 | 62 | 71 | 1 | ||
| 32 | J | Mane, KM; Kulkarni, DK; Prakash, KB | J Soft Comput Civ Eng | Prediction of flexural strength of concrete produced by using pozzolanic materials and partly replacing NFA by MS | 2019 | 3 | 69 | 77 | 1 | ||
| 33 | J | Ghazvinian, H.; Karami, H.; Farzin, S.; Mousavi, S | Journal of Soft Computing in Civil Engineering | Effect of MDF-cover for water reservoir evaporation reduction, experimental, and soft computing approaches | 2020 | 4 | 1 | 98 | 110 | DOI 10.22115/SCCE.2020.213617.1156 | 1 |
| 34 | J | Shahrokhinasab, E.; Hosseinzadeh, N.; Monir Abbasi, A.; Torkaman, S. | J. Soft Comput. Civ. Eng. | Performance of Image-Based Crack Detection Systems in Concrete Structures | 2020 | 4 | 127 | 139 | 1 | ||
| 35 | J | Sharifi, Y.; Hosseinpour, M. | Journal of Soft Computing in Civil Engineering | A predictive model based ANN for compressive strength assessment of the mortars containing metakaolin | 2020 | 4 | 2 | 1 | 11 | DOI 10.22115/SCCE.2020.214444.1157 | 1 |
| 36 | J | Ghasemi, S.; Bahrami, H.; Akbari, M. | Journal of Soft Computing in Civil Engineering | Classification of seismic vulnerability based on machine learning techniques for RC frames | 2020 | 4 | 2 | 13 | 21 | DOI 10.22115/SCCE.2020.223322.1186 | 1 |
| 37 | J | Priyadarshee, A; Chandra, S; Gupta, D; Kumar, V | J Soft Comput Civ Eng | Neural Models for Unconfined Compressive Strength of Kaolin clay mixed with pond ash, rice husk ash and cement | 2020 | 4 | 2 | 85 | 102 | DOI 10.22115/SCCE.2020.223774.1189 | 1 |
| 38 | J | Ghazvinian, H.; Bahrami, H.; Ghazvinian, H.; Heddam, S. | Journal of Soft Computing in Civil Engineering | Simulation of monthly precipitation in semnan city using ANN artificial Intelligence model | 2020 | 4 | 4 | 36 | 46 | DOI 10.22115/SCCE.2020.242813.1251 | 1 |
Most Cited (Scopus):
| Result Number | Document title | Authors | Year | Source | Cited by |
|---|---|---|---|---|---|
| Artificial neural networks for construction management: A review | Kulkarni, P., Londhe, S., Deo, M. | 2017 | Soft Computing in Civil Engineering
1(2), pp. 70-88
|
23 | |
| Application of ANN and ANFIS models in determining compressive strength of concrete | Keshavarz, Z., Torkian, H. | 2018 | Soft Comput Civ Eng
2(1), pp. 62-70
|
14 | |
| Using of backpropagation neural network in estimating of compressive strength of waste concrete | Heidari, A., Hashempour, M., Tavakoli, D. | 2017 | Soft Computing in Civil Engineering
1(1), pp. 54-64
|
14 | |
| Development of intelligent systems to predict diamond wire saw performance | Mikaeil, R., Shaffiee Haghshenas, S., Ozcelik, Y., Shaffiee Haghshenas, S. | 2017 | Soft Comput. Civil Eng.
1(2), pp. 52-69
|
12 | |
| No-deposition sediment transport in sewers using of gene expression programming | Ebtehaj, I., Bonakdari, H. | 2017 | Soft Comput. Civ Eng.
1(1), pp. 29-53
|
10 | |
| Advanced ann prediction ofmoisture damage in cnt modified asphalt binder | Arifuzzaman, M. | 2017 | Soft Computing in Civil Engineering
1(1), pp. 1-11
|
8 | |
| Comparison study of soft computing approaches for estimation of the non-ductile RC joint shear strength | Mirrashid, M. | 2017 | Soft Comput Civ Eng
1(1), pp. 12-28
|
8 | |
| The Gaussian process modelling module in UQLab | Lataniotis, C., Marelli, S., Sudret, B. | 2018 | Soft Computing in Civil Engineering
2(3), pp. 91-116
|
6 | |
| A Neuro-Fuzzy model for punching shear prediction of slab-column connections reinforced with FRP | Naderpour, H., Mirrashid, M. | 2019 | Soft Comput Civ Eng
3(1), pp. 16-26
|
5 | |
| Prediction of concrete properties using multiple linear regression and artificial neural network | Charhate, S., Subhedar, M., Adsul, N. | 2018 | J. Soft Comput. Civ. Eng.
2-3(3), pp. 27-38
|
5 | |
| Estimation of building construction cost using artificial neural networks | Chandanshive, V., Kambekar, A.R. | 2019 | J. Soft Comput. Civ. Eng.
3(1), pp. 91-107
|
4 | |
| Structural response of reinforced self-compacting concrete deep beam using finite element method | Akinpelu, M., Adedeji, A. | 2018 | Soft Comput. Civil Eng.
2(1), pp. 36-61
|
4 | |
| A method for constructing non-isosceles triangular fuzzy numbers using frequency histogram and statistical parameters | Amini, A., Nikraz, N. | 2017 | Soft Comput. Civil Eng.
1(1), pp. 65-85
|
4 | |
| Physical and physic-chemical based optimization methods: a review | Vahidi, B., Foroughi Nematolahi, A. | 2021 | J Soft Comput Civ Eng
3(4), pp. 12-27
|
3 | |
| Evolutionary algorithm performance evaluation in project time-cost optimization | Chassiakos, A., Rempis, G. | 2019 | Journal of Soft Computing in Civil Engineering
3(2), pp. 16-29
|
3 | |
| Modelling of concrete compressive strength admixed with GGBFS using gene expression programming | Samuel, A.O. | 2019 | J. Soft Comput. Civ. Eng.
3(2), pp. 44-58
|
3 | |
| Prediction of Ultimate Bearing Capacity of Skirted Footing Resting on Sand Using Artificial Neural Networks | Dutta, R.K., Rani, R., Gnananandarao, T. | 2018 | Journal of Soft Computing in Civil Engineering
2(4), pp. 34-46
|
3 | |
| Comparative analysis of rigid pavement using westergaard method and computer program | Al-Ghafri, I.H.H., Javid, M.A. | 2018 | Journal of Soft Computing in Civil Engineering
2(2), pp. 19-30
|
3 | |
| Optimum design of structures against earthquake by simulated annealing using wavelet transform | Heidari, A., Raeisi, J. | 2018 | Journal of Soft Computing in Civil Engineering
2(4), pp. 23-33
|
3 | |
| Artificial neural networks prediction of compaction characteristics of black cotton soil stabilized with cement kiln dust | Salahudeen, A.B., Ijimdiya, T.S., Eberemu, A.O., Osinubi, K.J. | 2018 | Soft Comput Civ Eng
2, pp. 50-71
|
3 | |
| Calculation of torsion capacity of the reinforced concrete beams using artificial neural network | Ilkhani, M.H., Moradi, E., Lavasani, M. | 2017 | Soft Comput. Civil Eng.
1(2), pp. 8-18
|
3 | |
| Performance of Image-Based Crack Detection Systems in Concrete Structures | Shahrokhinasab, E., Hosseinzadeh, N., Monir Abbasi, A., Torkaman, S. | 2020 | J. Soft Comput. Civ. Eng
4, pp. 127-139
|
2 | |
| Slope stability evaluation using tangent similarity measure of fuzzy cube sets | Wang, J., Cui, W., Ye, J. | 2019 | Journal of Soft Computing in Civil Engineering
3(1), pp. 27-35
|
2 | |
| Adaptive neuro-fuzzy and simple adaptive control methods for alleviating the seismic responses of coupled buildings with semi-active devices: comparative study | Al-Fahdawi, O.A., Barroso, L.R., Soares, R.W. | 2019 | Soft Comput Civil Eng
3(3), pp. 1-20
|
2 | |
| Stream flow forecasting using least square support vector regression | Londhe, S.N., Gavraskar, S. | 2018 | J. Soft Comput. Civ. Eng
2, pp. 56-88
|
2 | |
| Development of MLR, ANN and ANFIS Models for estimation of PCUs at different levels of service | Srikanth, S., Mehar, A. | 2018 | J. Soft Comput. Civil Eng
1, pp. 18-35
|
2 | |
| An equation to determine the ultimate flexural load of RC beams strengthened with CFRP laminates | Farahnaki, R., Azimi, A. | 2018 | Soft Computing in Civil Engineering
2(4), pp. 86-95
|
2 | |
| GMDH-network to estimate the punching capacity of FRP-RC slabs | Azimi, A. | 2017 | Soft Comput. Civ. Eng.
1, pp. 86-92
|
2 | |
| Neural Models for Unconfined Compressive Strength of Kaolin clay mixed with pond ash, rice husk ash and cement | Priyadarshee, A., Chandra, S., Gupta, D., Kumar, V. | 2020 | J Soft Comput Civ Eng
4(2), pp. 85-102
|
1 | |
| A predictive model based ANN for compressive strength assessment of the mortars containing metakaolin | Sharifi, Y., Hosseinpour, M. | 2020 | Journal of Soft Computing in Civil Engineering
4(2), pp. 1-11
|
1 | |
| Effect of MDF-cover for water reservoir evaporation reduction, experimental, and soft computing approaches | Ghazvinian, H., Karami, H., Farzin, S., Mousavi, S. | 2020 | Journal of Soft Computing in Civil Engineering
4(1), pp. 98-110
|
1 | |
| Classification of seismic vulnerability based on machine learning techniques for RC frames | Ghasemi, S., Bahrami, H., Akbari, M. | 2020 | Journal of Soft Computing in Civil Engineering
4(2), pp. 13-21
|
1 | |
| A real-time warning system for rear-end collision based on random forest classifier | TEIMOURI, F, GHATEE, M. | 2020 | Journal of Soft Computing in Civil Engineering
4(1), pp. 49-71
|
1 | |
| Predicting post-fire behavior of green geopolymer mortar containing recycled concrete aggregate via GEP approach | Fakhrian, S., Behbahani, H., Mashhadi, S. | 2020 | Journal of Soft Computing in Civil Engineering
4(2), pp. 22-46
|
1 | |
| Optimizing the mechanical properties of pervious concrete containing calcium carbide and rice husk ash using response surface methodology | Adamu, M., Olalekan, S.S., Aliyu, M.M. | 2020 | Journal of Soft Computing in Civil Engineering
4(3), pp. 95-118
|
1 | |
| Simulation of monthly precipitation in semnan city using ANN artificial Intelligence model | Ghazvinian, H., Bahrami, H., Ghazvinian, H., Heddam, S. | 2020 | Journal of Soft Computing in Civil Engineering
4(4), pp. 36-46
|
1 | |
| Modelling of concrete compressive strength admixed with GGBFS using gene expression programming | Akin, O.O., Abejide, O.S. | 2019 | Journal of Soft Computing in Civil Engineering
3(2), pp. 43-53
|
1 | |
| Prediction of Free Swell Index for the Expansive Soil Using Artificial Neural Networks | Dutta, R.K., Singh, A., Gnananandarao, T. | 2019 | Journal of Soft Computing in Civil Engineering
3(1), pp. 47-62
|
1 | |
| Application of Soft Computing Techniques in Predicting the Ultimate Bearing Capacity of Strip Footing Subjected to Eccentric Inclined Load and Resting on Sand | Dutta, R.K., Gnananandarao, T., Khatri, V.N. | 2019 | Journal of Soft Computing in Civil Engineering
3(2), pp. 30-40
|
1 | |
| Predicting the earthquake magnitude along zagros fault using time series and ensemble model | Shishegaran, A., Taghavizade, H., Bigdeli, A., Shishegaran, A. | 2019 | Soft Computing in Civil Engineering
3(4), pp. 67-77
|
1 | |
| Selection of most suitable stabilized/solidified dredged soil to use in highway subgrade layer construction | Gupta, A., Biswas, S., Arora, V.K. | 2019 | J Soft Comput Civil Eng
3-1, pp. 1-15
|
1 | |
| Neural network based model to estimate dynamic modulus E∗ for mixtures in Costa Rica | Leiva-Villacorta, F., Vargas-Nordcbeck, A. | 2019 | J. Soft Comput. Civ. Eng.
3(2), pp. 1-15
|
1 | |
| Mesoscopic generation of random concrete structure using equivalent space method | Sayyafzadeh, B, Omidi, A, Rasoolan, I | 2019 | Journal of Soft Computing in Civil Engineering
3(3), pp. 82-94
|
1 | |
| Prediction of flexural strength of concrete produced by using pozzolanic materials and partly replacing NFA by MS | Mane, K.M., Kulkarni, D.K., Prakash, K.B. | 2019 | J Soft Comput Civ Eng
3, pp. 69-77
|
1 | |
| Modeling of Compressive Strength Characteristics of Structural-sized Afara (Terminalia superba) and Babo (Isoberlinia doka) Timber Columns Using Constant Failure Rate (CFR) Model of Reliability | Jimoh, A.A., Rahmon, R.O., Ibrahim, K.H. | 2018 | Journal of Soft Computing in Civil Engineering
pp. 102-115
|
1 | |
| Selection of an appropriate method to extract the dimensional stones using FDAHP and TOPSIS techniques | Esmailzadeh, A., Mikaeil, R., Sadegheslam, G., Aryafar, A., Gharehgheshlagh, H.H. | 2018 | J. Soft Comput. Civ. Eng.
2(1), pp. 101-116
|
1 | |
| An analysis of sight distances considering both the vertical and horizontal curves of a tourist bound destination highway in camarines sur: the lagonoy-presentacion section | Romero, R.V. | 2018 | Soft Comput. Civil Eng.
2(2), pp. 116-126
|
1 | |
| Scale effect and anisotropic analysis of rock joint roughness coefficient neutrosophic interval statistical numbers based on neutrosophic statistics | Jiang, W., Ye, J., Cui, W. | 2018 | Journal of Soft Computing in Civil Engineering
2-4, pp. 62-71
|
1 | |
| Estimation of alongshore sediment transport rate using adaptive Neuro-fuzzy inference system–A case study application for the southern shorelines of the Caspian Sea | Sadeghifar, T., Barati, R. | 2018 | J. Soft Comput. Civil Eng.
2(4), pp. 72-85
|
1 | |
| Developing four metaheuristic algorithms for multiple-objective management of groundwater | El-Ghandour, H.A., Elbeltagi, E. | 2018 | J Soft Comput Civ Eng
2(4), pp. 1-22
|
1 | |
| Prediction of concrete and steel materials contained by cantilever retaining wall by modeling the artificial neural networks | Gokkus, U., Yildirim, M., Yilmazoglu, A. | 2018 | J Soft Comput Civ Eng
2, pp. 47-61
|
1 | |
| Reliability analysis of structures using modified fa-pso algorithm | Shahmoradi Qomi, H., Voitenko, P., Taheri, M. | 2018 | Soft Comput Civil Eng
2(2), pp. 93-105
|
1 | |
| [No title available] | Bunyamin, S.A., Ijimdiya, T.S., Eberemu, A.O., Osinubi, K.J. | 2018 | Soft Comput. Civ. Eng. J.
2, pp. 50
|
1 | |
| Predicting budget from transportation research grant description: An exploratory analysis of text mining and machine learning techniques | Singhal, A., Gopalakrishnan, K., Khaitan, S.K. | 2017 | Journal of Soft Computing in Civil Engineering
1-2, pp. 89-102
|
1 | |