2024
DOI: 10.1016/j.eswa.2023.121474
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Design and optimization of machinability of ZnO embedded-glass fiber reinforced polymer composites with a modified white shark optimizer

Nesrine Amor,
Muhammad Tayyab Noman,
Michal Petru
et al.
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Cited by 8 publications
(1 citation statement)
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“…Machine learning (ML) is becoming a critical tool in various fields of nanomaterials research, such as nanoindentation [ 317 , 318 , 319 , 320 , 321 , 322 , 323 , 324 , 325 , 326 , 327 , 328 ], nanorobotics [ 329 , 330 , 331 , 332 , 333 , 334 ], and nanosensor [ 335 , 336 , 337 , 338 , 339 , 340 ] development. Its ability to analyze and interpret complex patterns from large datasets is particularly beneficial in advancing areas like nanostructured materials analysis, nanoscale manufacturing processes, and the development of nanotechnology applications in medicine and environmental monitoring [ 327 , 341 , 342 , 343 , 344 , 345 , 346 , 347 , 348 , 349 , 350 , 351 , 352 , 353 , 354 , 355 , 356 , 357 , 358 , 359 , 360 , 361 , 362 , 363 , 364 , …”
Section: Introductionmentioning
confidence: 99%
“…Machine learning (ML) is becoming a critical tool in various fields of nanomaterials research, such as nanoindentation [ 317 , 318 , 319 , 320 , 321 , 322 , 323 , 324 , 325 , 326 , 327 , 328 ], nanorobotics [ 329 , 330 , 331 , 332 , 333 , 334 ], and nanosensor [ 335 , 336 , 337 , 338 , 339 , 340 ] development. Its ability to analyze and interpret complex patterns from large datasets is particularly beneficial in advancing areas like nanostructured materials analysis, nanoscale manufacturing processes, and the development of nanotechnology applications in medicine and environmental monitoring [ 327 , 341 , 342 , 343 , 344 , 345 , 346 , 347 , 348 , 349 , 350 , 351 , 352 , 353 , 354 , 355 , 356 , 357 , 358 , 359 , 360 , 361 , 362 , 363 , 364 , …”
Section: Introductionmentioning
confidence: 99%