LEADER 02550nam 22004455 450 001 9910485025003321 005 20220916201316.0 010 $a3-030-40410-2 024 7 $a10.1007/978-3-030-40410-9 035 $a(CKB)4100000010480449 035 $a(MiAaPQ)EBC6125905 035 $a(DE-He213)978-3-030-40410-9 035 $a(PPN)24322995X 035 $a(EXLCZ)994100000010480449 100 $a20200228d2020 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOptimization for robot modelling with MATLAB /$fHazim Nasir Ghafil, Károly Jármai 205 $a1st edition 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (229 pages) 300 $aIncludes index. 311 1 $a3-030-40409-9 327 $aChapter 1 - Introduction -- Chapter 2 - Optimization -- Chapter 3 - Spatial representations -- Chapter 4 - Manipulator kinematics -- Chapter 5 - The Manipulator Jacobian -- Chapter 6 - Path and trajectory planning -- Chapter 7 - Dynamics -- Chapter 8 - Structural optimization and stiffness analysis -- Chapter 9 - Kinematic Synthesis. 330 $aThis book addresses optimization in robotics, in terms of both the configuration space and the metal structure of the robot arm itself; and discusses, describes and builds different types of heuristics and algorithms in MATLAB. In addition, the book includes a wealth of examples and exercises. In particular, it enables the reader to write a MATLAB code for all the related problems in robotics. The book also offers detailed descriptions of and builds from scratch several types of optimization algorithms using MATLAB and simplified methods, especially for inverse problems and avoiding singularities. Each chapter features examples and exercises to enhance the reader?s comprehension. Accordingly, the book offers the reader a better understanding of robot analysis from an optimization standpoint. 606 $aRobotics$xMathematical models 615 0$aRobotics$xMathematical models. 676 $a629.892 700 $aGhafil$b Hazim Nasir$4aut$4http://id.loc.gov/vocabulary/relators/aut$01225782 702 $aJármai$b Károly$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910485025003321 996 $aOptimization for Robot Modelling with MATLAB$92845991 997 $aUNINA LEADER 00925nam a22002411i 4500 001 991001425399707536 005 20021230153440.0 008 021230s1970 uik|||||||||||||||||eng 020 $a0140135286 035 $ab12145270-39ule_inst 035 $aARCHE-023507$9ExL 040 $aDip.to Filologia Ling. e Lett.$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 100 1 $aTillyard, Eustace Mandeville Wetenhall$0450762 245 14$aThe Elizabethan world picture /$cE.M.W. Tillyard 260 $aLondon :$bPenguin Books,$c1970 300 $a125 p. ;$c20 cm 440 0$aPenguin literary criticism 907 $a.b12145270$b02-04-14$c01-04-03 912 $a991001425399707536 945 $aLE008 FL.M. (IN) B 68$g1$i2008000183844$lle008$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i12471872$z01-04-03 996 $aElizabethan world picture$9149104 997 $aUNISALENTO 998 $ale008$b01-04-03$cm$da $e-$feng$guik$h4$i1 LEADER 03633nam 22006135 450 001 9910799232803321 005 20251009095002.0 010 $a9789819974566 010 $a9819974569 024 7 $a10.1007/978-981-99-7456-6 035 $a(CKB)29468569800041 035 $a(MiAaPQ)EBC31041882 035 $a(Au-PeEL)EBL31041882 035 $a(DE-He213)978-981-99-7456-6 035 $a(OCoLC)1417195422 035 $a(EXLCZ)9929468569800041 100 $a20231226d2023 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning and Optimization for Engineering Design /$fedited by Apoorva S. Shastri, Kailash Shaw, Mangal Singh 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (175 pages) 225 1 $aEngineering Optimization: Methods and Applications,$x2731-4057 311 08$a9789819974559 327 $aChapter 1: Development of Smart Home System Based on IoT Using a Wearable EEG -- Chapter 2: Design of Intelligent ICT Irrigation System using Crop Growth Big Data Analysis -- Chapter 3: LRBC-E: A Structurally Enhanced LRBC-Based Block Cipher for Securing Extremely Contraind IoT Devices -- Chapter 4: OpenCV and MQTT based Intelligent Traffic Management System -- Chapter 5: A Machine Learning Model for Student's Academic Success Prediction. 330 $aThis book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, ICT-based irrigation systems, academic success prediction, future agro-industry for crop production, disease classification in plants, dental problems and solutions, loan eligibility processing, etc., and their implementation with several case studies and literature reviews are included as self-contained chapters. Additionally, the book intends to highlight the importance of study and effectiveness in addressing the time and space complexity of problems and enhancing accuracy, analysis, and validations for different practical applications by acknowledging the state-of-the-art literature survey. The book targets a larger audience by exploring multidisciplinary research directions such as computer vision, machine learning, artificial intelligence, modified/newly developed machine learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research work with illustrations and exercises along with pseudo-code has been provided here. 410 0$aEngineering Optimization: Methods and Applications,$x2731-4057 606 $aMachine learning 606 $aEngineering design 606 $aMathematical optimization 606 $aMachine Learning 606 $aEngineering Design 606 $aOptimization 615 0$aMachine learning. 615 0$aEngineering design. 615 0$aMathematical optimization. 615 14$aMachine Learning. 615 24$aEngineering Design. 615 24$aOptimization. 676 $a006.31 700 $aShastri$b Apoorva S$01585665 701 $aShaw$b Kailash$01585666 701 $aSingh$b Mangal$01585667 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910799232803321 996 $aMachine Learning and Optimization for Engineering Design$93871184 997 $aUNINA