LEADER 01003nam a2200301 i 4500 001 991000017399707536 005 20020503112351.0 008 990316s1972 it ||| | ||| 035 $ab10009553-39ule_inst 035 $aocm00008194$9ExL 040 $aDip.to Beni Culturali$bita 082 0 $a330.1 100 1 $aMori, Marina$0459260 245 12$aL'antropologia economica /$ca cura di Edoardo Grendi 260 $aTorino :$bEinaudi,$c1972. 300 $aLXIII, 299 p. ;$c21 cm 490 0 $aEinaudi paperbacks 500 $aScritti di vari 500 $aTrad. M. Mori, C. Gatti 650 4$aEconomia e sociologia$xSaggi 700 1 $aGrendi, Edoardo 700 1 $aGatti, Carlo 907 $a.b10009553$b17-02-17$c31-05-02 912 $a991000017399707536 945 $aLE001 AN XX 69$g1$i2001000004386$lle001$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i10012515$z31-05-02 996 $aAntropologia economica$9175782 997 $aUNISALENTO 998 $ale001$b01-01-99$cm$da $e-$feng$git $h2$i1 LEADER 03527nam 22005895 450 001 9910861098403321 005 20250807143238.0 010 $a981-9724-24-4 024 7 $a10.1007/978-981-97-2424-6 035 $a(MiAaPQ)EBC31343961 035 $a(Au-PeEL)EBL31343961 035 $a(CKB)32063340200041 035 $a(DE-He213)978-981-97-2424-6 035 $a(EXLCZ)9932063340200041 100 $a20240517d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Computing in Carcinogenic Disease Detection /$fby Kaushik Das Sharma, Subhajit Kar, Madhubanti Maitra 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (189 pages) 225 1 $aComputational Intelligence Methods and Applications,$x2510-1773 311 08$a981-9724-23-6 327 $aChapter 1. Introduction -- Chapter 2. Biological Background of Benchmark Carcinogenic Data Sets -- Chapter 3. Intelligent Computing Approaches for Carcinogenic Disease Detection: A Review -- Chapter 4. Classical Approaches in Gene Evaluation for Carcinogenic Disease Detection -- Chapter 5. Intelligent Computing Approach in Gene Evaluation for Carcinogenic Disease Detection -- Chapter 6. Intelligent Computing Approach for Leukocyte Identification -- Chapter 7. Intelligent Computing Approach for Lung Nodule Detection -- Chapter 8. Conclusion -- Index. 330 $aThis book draws on a range of intelligent computing methodologies to effectively detect and classify various carcinogenic diseases. These methodologies, which have been developed on a sound foundation of gene-level, cell-level and tissue-level carcinogenic datasets, are discussed in Chapters 1 and 2. Chapters 3, 4 and 5 elaborate on several intelligent gene selection methodologies such as filter methodologies and wrapper methodologies. In addition, various gene selection philosophies for identifying relevant carcinogenic genes are described in detail. In turn, Chapters 6 and 7 tackle the issues of using cell-level and tissue-level datasets to effectively detect carcinogenic diseases. The performance of different intelligent feature selection techniques is evaluated on cell-level and tissue-level datasets to validate their effectiveness in the context of carcinogenic disease detection. In closing, the book presents illustrative case studies that demonstrate the value of intelligent computing strategies. 410 0$aComputational Intelligence Methods and Applications,$x2510-1773 606 $aArtificial intelligence$xData processing 606 $aComputer science 606 $aEngineering$xData processing 606 $aData Science 606 $aTheory and Algorithms for Application Domains 606 $aData Engineering 615 0$aArtificial intelligence$xData processing. 615 0$aComputer science. 615 0$aEngineering$xData processing. 615 14$aData Science. 615 24$aTheory and Algorithms for Application Domains. 615 24$aData Engineering. 676 $a005.7 700 $aDas Sharma$b Kaushik$0980118 701 $aKar$b Subhajit$01739475 701 $aMaitra$b Madhubanti$01739476 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910861098403321 996 $aIntelligent Computing in Carcinogenic Disease Detection$94163476 997 $aUNINA