Artificial Intelligence in Mechanical and Industrial Engineering:
Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Taylor & Francis
2024
|
| Schriftenreihe: | Artificial Intelligence (AI) in Engineering
|
| Schlagworte: | |
| Zusammenfassung: | Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains.The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals.The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains |
| Beschreibung: | SECTION I: State of Art. 1. An Overview of Machine Learning Implementation in Various Industrial Scenarios- Agriculture, Healthcare and Enterprise. SECTION II: Application towards Mechanical Engineering. 2. Artificial Intelligence in Predciting the Optimized Wear Behavior Parameters of Sintered Titanium Grade 5 Reinforced with Nano B4C Particles. 3. Tribological Behaviour of AL7068-Alumina-B4C Hybrid Composites and Optimization with DEMATEL Technique. 4. A Comparison of ACO and GA for Routing AGVs Via C#. 5. Intelligent Control Design Schemes of a Two-Link Robotic Manipulator. 6. Maize Leaf Disease Detection and Classification Using Deep Learning. SECTION III: Application towards Industrial Engineering. 7. Inspectorate Patterns for Cell Recognition in Cellular Manufacturing. 8. Optimization of Operating Parameters of Wire EDM. Index |
| Beschreibung: | 156 Seiten 453 gr |
| ISBN: | 9781032012964 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV050141827 | ||
| 003 | DE-604 | ||
| 007 | t| | ||
| 008 | 250128s2024 xx |||| 00||| eng d | ||
| 020 | |a 9781032012964 |9 978-1-03-201296-4 | ||
| 024 | 3 | |a 9781032012964 | |
| 035 | |a (DE-599)BVBBV050141827 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-29T | ||
| 100 | 1 | |a Kumar, Kaushik |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Artificial Intelligence in Mechanical and Industrial Engineering |
| 264 | 1 | |b Taylor & Francis |c 2024 | |
| 300 | |a 156 Seiten |c 453 gr | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Artificial Intelligence (AI) in Engineering | |
| 500 | |a SECTION I: State of Art. 1. An Overview of Machine Learning Implementation in Various Industrial Scenarios- Agriculture, Healthcare and Enterprise. SECTION II: Application towards Mechanical Engineering. 2. Artificial Intelligence in Predciting the Optimized Wear Behavior Parameters of Sintered Titanium Grade 5 Reinforced with Nano B4C Particles. 3. Tribological Behaviour of AL7068-Alumina-B4C Hybrid Composites and Optimization with DEMATEL Technique. 4. A Comparison of ACO and GA for Routing AGVs Via C#. 5. Intelligent Control Design Schemes of a Two-Link Robotic Manipulator. 6. Maize Leaf Disease Detection and Classification Using Deep Learning. SECTION III: Application towards Industrial Engineering. 7. Inspectorate Patterns for Cell Recognition in Cellular Manufacturing. 8. Optimization of Operating Parameters of Wire EDM. Index | ||
| 520 | |a Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains.The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals.The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains | ||
| 650 | 4 | |a bicssc / Data mining | |
| 650 | 4 | |a bicssc / Supercomputers | |
| 650 | 4 | |a bicssc / Communications engineering / telecommunications | |
| 650 | 4 | |a bicssc / Product design | |
| 650 | 4 | |a bicssc / Mathematics | |
| 650 | 4 | |a bicssc / Engineering - general | |
| 650 | 4 | |a bicssc / Mechanical engineering | |
| 650 | 4 | |a bicssc / Computer architecture & logic design | |
| 650 | 4 | |a bicssc / Electrical engineering | |
| 650 | 4 | |a bicssc / Production & quality control management | |
| 650 | 4 | |a bicssc / Automatic control engineering | |
| 650 | 4 | |a bisacsh / TECHNOLOGY & ENGINEERING / Mechanical | |
| 650 | 4 | |a bisacsh / COMPUTERS / Machine Theory | |
| 650 | 4 | |a bisacsh / COMPUTERS / Data Science / Machine Learning | |
| 650 | 4 | |a bisacsh / TECHNOLOGY & ENGINEERING / Industrial Engineering | |
| 650 | 4 | |a bisacsh / TECHNOLOGY & ENGINEERING / Manufacturing | |
| 650 | 4 | |a bisacsh / TECHNOLOGY & ENGINEERING / Operations Research | |
| 650 | 4 | |a bisacsh / TECHNOLOGY & ENGINEERING / Quality Control | |
| 700 | 1 | |a Zindani, Divya |e Sonstige |4 oth | |
| 700 | 1 | |a Davim, J. Paulo |e Sonstige |4 oth | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035478298 | |
Datensatz im Suchindex
| _version_ | 1822535409785110528 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Kumar, Kaushik |
| author_facet | Kumar, Kaushik |
| author_role | aut |
| author_sort | Kumar, Kaushik |
| author_variant | k k kk |
| building | Verbundindex |
| bvnumber | BV050141827 |
| ctrlnum | (DE-599)BVBBV050141827 |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV050141827</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">250128s2024 xx |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781032012964</subfield><subfield code="9">978-1-03-201296-4</subfield></datafield><datafield tag="024" ind1="3" ind2=" "><subfield code="a">9781032012964</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV050141827</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29T</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kumar, Kaushik</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Artificial Intelligence in Mechanical and Industrial Engineering</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="b">Taylor & Francis</subfield><subfield code="c">2024</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">156 Seiten</subfield><subfield code="c">453 gr</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Artificial Intelligence (AI) in Engineering</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">SECTION I: State of Art. 1. An Overview of Machine Learning Implementation in Various Industrial Scenarios- Agriculture, Healthcare and Enterprise. SECTION II: Application towards Mechanical Engineering. 2. Artificial Intelligence in Predciting the Optimized Wear Behavior Parameters of Sintered Titanium Grade 5 Reinforced with Nano B4C Particles. 3. Tribological Behaviour of AL7068-Alumina-B4C Hybrid Composites and Optimization with DEMATEL Technique. 4. A Comparison of ACO and GA for Routing AGVs Via C#. 5. Intelligent Control Design Schemes of a Two-Link Robotic Manipulator. 6. Maize Leaf Disease Detection and Classification Using Deep Learning. SECTION III: Application towards Industrial Engineering. 7. Inspectorate Patterns for Cell Recognition in Cellular Manufacturing. 8. Optimization of Operating Parameters of Wire EDM. Index</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains.The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals.The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Supercomputers</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Communications engineering / telecommunications</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Product design</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Engineering - general</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Mechanical engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Computer architecture & logic design</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Electrical engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Production & quality control management</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Automatic control engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh / TECHNOLOGY & ENGINEERING / Mechanical</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh / COMPUTERS / Machine Theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh / COMPUTERS / Data Science / Machine Learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh / TECHNOLOGY & ENGINEERING / Industrial Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh / TECHNOLOGY & ENGINEERING / Manufacturing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh / TECHNOLOGY & ENGINEERING / Operations Research</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh / TECHNOLOGY & ENGINEERING / Quality Control</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zindani, Divya</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Davim, J. Paulo</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035478298</subfield></datafield></record></collection> |
| id | DE-604.BV050141827 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-28T23:00:10Z |
| institution | BVB |
| isbn | 9781032012964 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035478298 |
| open_access_boolean | |
| owner | DE-29T |
| owner_facet | DE-29T |
| physical | 156 Seiten 453 gr |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Taylor & Francis |
| record_format | marc |
| series2 | Artificial Intelligence (AI) in Engineering |
| spelling | Kumar, Kaushik Verfasser aut Artificial Intelligence in Mechanical and Industrial Engineering Taylor & Francis 2024 156 Seiten 453 gr txt rdacontent n rdamedia nc rdacarrier Artificial Intelligence (AI) in Engineering SECTION I: State of Art. 1. An Overview of Machine Learning Implementation in Various Industrial Scenarios- Agriculture, Healthcare and Enterprise. SECTION II: Application towards Mechanical Engineering. 2. Artificial Intelligence in Predciting the Optimized Wear Behavior Parameters of Sintered Titanium Grade 5 Reinforced with Nano B4C Particles. 3. Tribological Behaviour of AL7068-Alumina-B4C Hybrid Composites and Optimization with DEMATEL Technique. 4. A Comparison of ACO and GA for Routing AGVs Via C#. 5. Intelligent Control Design Schemes of a Two-Link Robotic Manipulator. 6. Maize Leaf Disease Detection and Classification Using Deep Learning. SECTION III: Application towards Industrial Engineering. 7. Inspectorate Patterns for Cell Recognition in Cellular Manufacturing. 8. Optimization of Operating Parameters of Wire EDM. Index Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains.The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals.The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains bicssc / Data mining bicssc / Supercomputers bicssc / Communications engineering / telecommunications bicssc / Product design bicssc / Mathematics bicssc / Engineering - general bicssc / Mechanical engineering bicssc / Computer architecture & logic design bicssc / Electrical engineering bicssc / Production & quality control management bicssc / Automatic control engineering bisacsh / TECHNOLOGY & ENGINEERING / Mechanical bisacsh / COMPUTERS / Machine Theory bisacsh / COMPUTERS / Data Science / Machine Learning bisacsh / TECHNOLOGY & ENGINEERING / Industrial Engineering bisacsh / TECHNOLOGY & ENGINEERING / Manufacturing bisacsh / TECHNOLOGY & ENGINEERING / Operations Research bisacsh / TECHNOLOGY & ENGINEERING / Quality Control Zindani, Divya Sonstige oth Davim, J. Paulo Sonstige oth |
| spellingShingle | Kumar, Kaushik Artificial Intelligence in Mechanical and Industrial Engineering bicssc / Data mining bicssc / Supercomputers bicssc / Communications engineering / telecommunications bicssc / Product design bicssc / Mathematics bicssc / Engineering - general bicssc / Mechanical engineering bicssc / Computer architecture & logic design bicssc / Electrical engineering bicssc / Production & quality control management bicssc / Automatic control engineering bisacsh / TECHNOLOGY & ENGINEERING / Mechanical bisacsh / COMPUTERS / Machine Theory bisacsh / COMPUTERS / Data Science / Machine Learning bisacsh / TECHNOLOGY & ENGINEERING / Industrial Engineering bisacsh / TECHNOLOGY & ENGINEERING / Manufacturing bisacsh / TECHNOLOGY & ENGINEERING / Operations Research bisacsh / TECHNOLOGY & ENGINEERING / Quality Control |
| title | Artificial Intelligence in Mechanical and Industrial Engineering |
| title_auth | Artificial Intelligence in Mechanical and Industrial Engineering |
| title_exact_search | Artificial Intelligence in Mechanical and Industrial Engineering |
| title_full | Artificial Intelligence in Mechanical and Industrial Engineering |
| title_fullStr | Artificial Intelligence in Mechanical and Industrial Engineering |
| title_full_unstemmed | Artificial Intelligence in Mechanical and Industrial Engineering |
| title_short | Artificial Intelligence in Mechanical and Industrial Engineering |
| title_sort | artificial intelligence in mechanical and industrial engineering |
| topic | bicssc / Data mining bicssc / Supercomputers bicssc / Communications engineering / telecommunications bicssc / Product design bicssc / Mathematics bicssc / Engineering - general bicssc / Mechanical engineering bicssc / Computer architecture & logic design bicssc / Electrical engineering bicssc / Production & quality control management bicssc / Automatic control engineering bisacsh / TECHNOLOGY & ENGINEERING / Mechanical bisacsh / COMPUTERS / Machine Theory bisacsh / COMPUTERS / Data Science / Machine Learning bisacsh / TECHNOLOGY & ENGINEERING / Industrial Engineering bisacsh / TECHNOLOGY & ENGINEERING / Manufacturing bisacsh / TECHNOLOGY & ENGINEERING / Operations Research bisacsh / TECHNOLOGY & ENGINEERING / Quality Control |
| topic_facet | bicssc / Data mining bicssc / Supercomputers bicssc / Communications engineering / telecommunications bicssc / Product design bicssc / Mathematics bicssc / Engineering - general bicssc / Mechanical engineering bicssc / Computer architecture & logic design bicssc / Electrical engineering bicssc / Production & quality control management bicssc / Automatic control engineering bisacsh / TECHNOLOGY & ENGINEERING / Mechanical bisacsh / COMPUTERS / Machine Theory bisacsh / COMPUTERS / Data Science / Machine Learning bisacsh / TECHNOLOGY & ENGINEERING / Industrial Engineering bisacsh / TECHNOLOGY & ENGINEERING / Manufacturing bisacsh / TECHNOLOGY & ENGINEERING / Operations Research bisacsh / TECHNOLOGY & ENGINEERING / Quality Control |
| work_keys_str_mv | AT kumarkaushik artificialintelligenceinmechanicalandindustrialengineering AT zindanidivya artificialintelligenceinmechanicalandindustrialengineering AT davimjpaulo artificialintelligenceinmechanicalandindustrialengineering |