LEADER 03650nam 22006735 450 001 9910987782503321 005 20250314115241.0 010 $a3-031-82706-6 024 7 $a10.1007/978-3-031-82706-8 035 $a(CKB)37916507500041 035 $a(DE-He213)978-3-031-82706-8 035 $a(MiAaPQ)EBC31960096 035 $a(Au-PeEL)EBL31960096 035 $a(OCoLC)1524422826 035 $a(EXLCZ)9937916507500041 100 $a20250314d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBiologically Inspired Techniques in Many Criteria Decision-Making $eProceedings of BITMDM 2024 /$fedited by Satchidananda Dehuri, Sujata Dash, Ruppa K. Thulasiram, Rohen H. Singh, Margarita Favorskaya 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (XIV, 479 p. 223 illus., 187 illus. in color.) 225 1 $aLearning and Analytics in Intelligent Systems,$x2662-3455 ;$v45 311 08$a3-031-82705-8 327 $a -- Evaluating the top Machine Learning Classifiers Used in Diabetes Prediction -- A Machine Learning-Based Approach to Enhance Fraud Detection Using Decision Tree -- Oropharyngeal Cancer Detection with Machine Learning for Precision Diagnosis -- A Deep Learning Framework for Crime Detection -- Deep Learning and Bio-Inspired Algorithm Based Chat Bot, etc. 330 $aThis book includes selected high-quality research papers presented at 3rd International Conference on Biologically Inspired Techniques in Many Criteria Decision Making (BITMDM 2024) organized by School of Engineering and Technology, Nagaland University, Dimapur, India on 6th and 7th December 2024. This book presents the recent advances in techniques which are biologically inspired and their usage in the field of single and many criteria decision making. Further, the topics covered in this book are divided into different sections like: i) healthcare and biomedical applications, ii) security, fraud detection, and cybersecurity, iii) intelligent systems and decision support, iv) agriculture and environment, v) image processing and multi-media analysis, and vi) emerging technologies and applications. 410 0$aLearning and Analytics in Intelligent Systems,$x2662-3455 ;$v45 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aAutomatic control 606 $aRobotics 606 $aAutomation 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aControl, Robotics, Automation 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aAutomatic control. 615 0$aRobotics. 615 0$aAutomation. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aControl, Robotics, Automation. 676 $a006.3 702 $aDehuri$b Satchidananda$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDash$b Sujata$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aThulasiram$b Ruppa K$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSingh$b Rohen H$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFavorskaya$b Margarita$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910987782503321 996 $aBiologically Inspired Techniques in Many-Criteria Decision Making$92084629 997 $aUNINA