%PDF-1.5
%
1 0 obj
<>stream
application/pdfIEEEIEEE Access;2020;8; ;10.1109/ACCESS.2020.2974623Meat quality assessmentfeature selectionmachine learningneural networksfeature selection robustnessA Machine Learning Approach for Lamb Meat Quality Assessment Using FTIR SpectraRocio Alaiz-RodriguezAndrew C. Parnell
IEEE Access52385 2020810.1109/ACCESS.2020.297462352394
endstream
endobj
2 0 obj
[396 396 437 667 229 333 229 458 583 583 583 583 583 583 583 583 583 583 271 271 667 667 667 417 896 604 625 625 708 542 479 688 708 271 333 604 479 854 708 750 583 750 604 542 500 688 583 875 542 542 521 313 458 313 729 500 229 521 583 458 583 542 292 521 583 250 250 500 250 896 583 583 583 583 333 437 313 583 458 792 458 458 437 354 229 354 729 0 604 604 625 625 708 542 542 688 479 479 479 708 708 0 750 604 604 542 542 542 500 500 688 688 542 521 521 521 604 271 0 500 521 521 458 458 583 542 542 521 250 250 250 583 583 0 583 333 333 437 437 437 0 313 583 583 458 437 437 437 500 271 417 479 604 604 604 604 604 604 854 625 542 542 542 542 271 271 271 271 708 708 750 750 750 750 750 958 750 688 688 688 688 542 583 0 521 521 521 521 521 521 854 458 542 542 542 542 250 250]
endobj
3 0 obj
<>
endobj
4 0 obj
<>
endobj
5 0 obj
<>
endobj
6 0 obj
<>stream
xڭ=Ywۺ~*c5o&vsJKņ"UJE$%O)`0@ә}W|g:a4W4O&4]Y@3R:.&qͥ?,e\U%UMrij|=dU?|xuտ_):s}e9a#WW|u&+#>>[Cˇ3Qxm<۱ϲ%`5V;,/T~g
7>;m{ff\yeYeŹgϲ$Хxs4) KW[e\&knh͊jUh>3Xr2Gi;س&ۤ.UmuI=xWIʦBS|HWq9}oTf[8<R3~UW0pSNnof;>WJ͒46θ|Td?7S_p=+2h^ȼJ ngϢVa