Review Article
A Review on Machine Learning Strategies for Real-World Engineering Applications
Table 2
Summary of important surveys on ML.
| | Real time engineering applications | Machine learning | S. no. | Reference no | Year | Citations | No. ofreferences | Cybersecurity | Computernetworks | Humanmachineinteraction | Healthcare | Satelliteimaging | Industry4.0/5.0 | Intelligenttransportationsystem | Computer vision | Smart energy | Smartgrids | Renewableenergysystems | Electricalpowersystems | Civilengineering | Energysystems | Design andmanufacturing | Techniques | Metrics | Tools | Trustworthiness | AdversarialML |
| 1 | 372 | 2014 | 47 | 42 | x | x | x | x | x | x | x | x | x | x | √ | x | x | x | x | √ | √ | x | x | x | 2 | 373 | 2020 | 1 | 54 | x | x | x | x | x | x | x | x | x | √ | x | x | x | x | x | √ | x | √ | x | x | 3 | 374 | 2020 | 12 | 668 | √ | x | x | x | x | x | x | x | x | x | x | x | x | x | x | √ | √ | √ | √ | √ | 4 | 375 | 2020 | 17 | 129 | x | x | x | x | x | x | √ | x | x | x | x | x | x | x | x | √ | x | x | x | x | 5 | 376 | 2020 | 1 | 259 | x | x | x | x | x | x | √ | x | x | x | x | x | x | x | x | √ | x | x | x | x | 6 | 377 | 2021 | 18 | 140 | √ | √ | √ | √ | x | √ | √ | √ | √ | x | √ | x | x | x | x | √ | x | x | x | x | 7 | 378 | 2020 | 46 | 208 | x | x | x | √ | x | x | x | x | x | x | x | x | x | x | x | √ | x | x | x | x | 8 | 376 | 2018 | 91 | 48 | x | x | x | x | x | x | x | x | x | x | x | x | x | x | √ | √ | x | x | x | x | 9 | 380 | 2020 | 6 | 14 | x | x | x | x | x | x | x | √ | x | x | x | x | x | x | x | √ | x | x | x | x | 10 | 381 | 2017 | 445 | 73 | x | x | √ | x | x | x | x | x | x | x | x | x | x | x | x | √ | x | x | x | x | 11 | 382 | 2018 | 40 | 235 | x | x | x | x | x | x | x | √ | x | x | x | x | x | x | x | √ | x | √ | x | x | 12 | 383 | 2020 | 2 | 62 | x | x | x | x | x | x | x | x | x | √ | x | x | x | x | x | √ | x | x | x | x | 13 | 384 | 2021 | 4 | 180 | x | x | x | x | x | x | x | x | x | x | x | x | x | x | √ | √ | x | x | x | x | 14 | 385 | 2019 | 53 | 310 | x | x | x | x | x | √ | x | x | x | x | x | x | x | x | √ | √ | √ | √ | √ | √ | 15 | 386 | 2019 | 35 | 210 | x | x | x | x | x | x | x | √ | x | x | x | x | x | x | x | √ | x | x | x | x | 16 | 387 | 2020 | 16 | 150 | x | x | x | x | x | x | x | x | x | x | √ | x | x | x | x | √ | x | √ | x | x | 17 | 388 | 2019 | 1 | 25 | x | x | x | x | √ | x | x | x | x | x | x | x | x | x | x | √ | x | x | x | x | 18 | 389 | 2018 | 470 | 501 | x | √ | x | x | x | x | x | x | x | x | x | x | x | x | x | √ | x | x | x | x | 19 | 390 | 2019 | 63 | 149 | x | x | x | x | x | x | x | x | √ | x | x | √ | x | x | x | √ | √ | x | x | x | 20 | 391 | 2017 | 202 | 252 | x | x | x | x | x | x | x | √ | x | x | x | x | x | x | x | √ | x | x | x | x | 21 | 392 | 1997 | 97 | 97 | x | x | x | x | x | x | x | x | x | x | x | x | √ | x | x | √ | x | x | x | x | 22 | 393 | 2019 | 148 | 114 | x | x | x | x | x | x | x | x | x | x | x | x | x | √ | x | √ | √ | x | x | x | 23 | 394 | 2021 | 1 | 193 | x | x | x | x | x | √ | x | x | x | x | x | x | x | x | √ | √ | √ | x | x | x | 24 | 395 | 2018 | 83 | 79 | x | √ | x | x | x | x | x | x | x | x | x | x | x | x | x | √ | x | x | x | x | 25 | 396 | 2020 | 47 | 103 | x | x | x | x | x | √ | x | x | x | x | x | x | x | x | x | √ | x | x | x | x | 26 | Proposed survey | 2021 | — | 396 | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ | √ |
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