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Artificial intelligence and knowledge processing : improved decision-making and prediction- [electronic resource]
Artificial intelligence and knowledge processing  : improved decision-making and predictio...
Artificial intelligence and knowledge processing : improved decision-making and prediction- [electronic resource]

상세정보

자료유형  
 전자책(국외)
미국국회도서관 청구기호  
TA347.A78-A7889 2024
자관 청구기호  
기본표목-개인명  
표제와 책임표시사항  
Artificial intelligence and knowledge processing : improved decision-making and prediction - [electronic resource] / edited by Hemachandran K., Raul V. Rodriguez, Umashankar Subramaniam, and Valentina Emilia Bas.
판사항  
First edition.
출판 정보  
Boca Raton, FL :CRC Press2024.
출판 정보  
©2024
형태사항  
1 online resource
서지 등 주기  
Includes bibliographical references and index.
내용주기  
완전내용Introduction to artificial intelligence / Mahmoud El Samad, Ghalia Nasserddine and Ahmad Kheir -- AI and human cognizance / P.Sanjna, D.Sujith, K.Vinodh and B.Vasavi -- Integration of artificial intelligence with IoT for smarter systems : a review / R. Raj Mohan, N.P. Saravanan and B. Leander -- Influence of artificial intelligence in robotics / Pingili sravya, Skanda S Tallam, Shivani Prabhu and Anil Audumbar Pise -- A review on applications of artificial intelligence and robotics in medical and healthcare sector / Pokala Pranay Kumar, Dheeraj Anchuri, Pusarla Bhuvan Sathvik and Raul V. Rodriguez -- Impact of the AI-induced app 'BABYLON' in the healthcare industry / Satheesh Kumar M, Tanmai Sree Musalamadugu, Neelam Kumari and Raul V. Rodriquez -- Identification & prediction of pneumonia from CXR images using deep learning / Paul Nirmal Kumar K, Raul V Rodriguez and Pranay Kumar -- Pulmonary cancer detection using deep convolutional networks / Tejaswini Aala, Varadaraja Krishna, Megha Gada, Raul V Rodriguez and Abdullah Y. Muaad -- Breast cancer prophecy using machine learning algorithm (random forest, decision tree, logistic regression techniques) / Raja Krishnamoorthy, Arshia Jabeen and Harshitha Methukula -- Breast cancer histopathological images classification using deep learning / Laxminarayan Pimpdae, Tanvi Gorantla, Raul V Rodriguez and Jk. Dhivya -- Machine learning and signal processing methodologies to diagnose the human knee joint disorders : a computational analysis / Murugan R, BAlajee A, Senbagamalar L, Mir Aadil and Shahid Mohammad Ganie -- Diagnostics and treatment help to patients at remote location using edge and fog computing techniques (EFCT) / T.Sunil, J Gladson Maria Britto and K.Bharath -- Image denoising using autoencoders / Mursal Furqan Kumbhar -- Genetic disorder prediction using machine learning techniques / Sirisha Alamanda, T. Prathima, Rajesh Kannan K and P. Supreeth Reddy -- Bayesian models in cognitive neuroscience / Gabriel Kabanda -- Knowledge representation in AI / Ashwin Kumaar K, Krishna Sai Talupula, Gogineni Venkata Ashwith and Mitta Chaitanya Kumar Reddy -- ANN model for analytics / Gaddam Venkat Shobika, S Pavan Siddharth, Vishwa KD, Hemachandran K. and Manjeet Rege -- AI and real time business intelligence / J. Bhuvana, M. Balamurugan and Mir Aadil -- Introduction to statistics and probability / Abha Singh and Reham Alahmadi -- Real impacts of machine learning in business / B R S S Sowjanya, Pavan Siddharth and Vishwa KD -- A study on application of Natural Language Processing (NLP) technique used in business analytics for better management decisions : a literature review / Geetha Manoharan, Subhashini Durai, Gunaseelan Alex Rajesh and Sunitha Purushottam Ashtikar -- Detection of polarity in the native-language comments of social media networks / Sudeshna Sani, Dipra Mitra, Soumen Mondal -- Machine learning techniques for detecting and analyzing online fake reviews / Yashwitha Buchi Reddy, Ch.Prathima, Swetha Jaladi, B.Dinesh and .J.R.Arun Kumar -- A study on application of expert system as a support system for business decisions : a literature review / Geetha Manoharan, Subhashini Durai, Gunaseelan Alex Rajesh and Sunitha Purushottam Ashtikar -- Applications of artificial intelligence on customer experience and service quality of the banking sector: an overview / Sravani Elaprolu, Channabasava Chola, Varanasi Chandradhar and Raul V Rodriguez -- Prediction of terrorist attacks over the globe using the global terrorism database : a comparative analysis of machine learning prediction algorithms / Happy and Manoj Yadav -- Deep learning approach for identifying the bird species / B. Harsha Vardhan, T. Monish, P. Srihitha Chowdary, S. Ravi Kishan and D. Suresh Babu -- AI in energy sector / Ashwin Kumaar K, Abhishek Asodu Shetty, Kirti Aija and C Naga Sai Kiran -- Artificial intelligence in the fashion design and IPRS / Kaja Bantha Navas Raja Mohamed, Divya Batra, Shivani , Vikor Molnar and Sunny Raj -- Artificial intelligence in education : a critic on English language teaching / Harishree and Jegan Jayapal -- Review of learning analytics techniques and its limitations in the higher education : a 21st century paradigm / Tuhin Utsab Paul and Tanushree Biswas.
요약 등 주기  
요약"Artificial Intelligence and Knowledge Processing play a vital role in various automation industries and their functioning in converting traditional industries to AI-based factories. This book acts as a guide and blends the basics of Artificial Intelligence in various domains, which include Machine Learning, Deep Learning, Artificial Neural Networks, and Expert Systems, and extends their application in all sectors. Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction, discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles. The book offers an overview of the rapidly growing and developing field of AI applications, along with Knowledge of Engineering, and Business Analytics. Real-time case studies are included across several different fields such as Image Processing, Text Mining, Healthcare, Finance, Digital Marketing, and HR Analytics. The book also introduces a statistical background and probabilistic framework to enhance the understanding of continuous distributions. Topics such as Ensemble Models, Deep Learning Models, Artificial Neural Networks, Expert Systems, and Decision-Based Systems round out the offerings of this book. This multi-contributed book is a valuable source for researchers, academics, technologists, industrialists, practitioners, and all those who wish to explore the applications of AI, Knowledge Processing, Deep Learning, and Machine Learning"--해제Provided by publisher.
주제명부출표목-일반주제명  
주제명부출표목-일반주제명  
주제명부출표목-일반주제명  
주제명부출표목-일반주제명  
주제명부출표목-일반주제명  
주제명부출표목-일반주제명  
주제명부출표목-일반주제명  
부출표목-개인명  
부출표목-개인명  
부출표목-개인명  
기타형태저록  
Print version Artificial intelligence and knowledge processing
전자적 위치 및 접속  
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MARC

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■090    ▼a전자도서
■1001  ▼aK.,  Hemachandran▼eeditor.
■24510▼aArtificial  intelligence  and  knowledge  processing  ▼bimproved  decision-making  and  prediction▼h[electronic  resource]▼cedited  by  Hemachandran  K.,  Raul  V.  Rodriguez,  Umashankar  Subramaniam,  and  Valentina  Emilia  Bas.
■24630▼aAI  and  knowledge  processing
■250    ▼aFirst  edition.
■264  1▼aBoca  Raton,  FL  ▼bCRC  Press▼c2024.
■264  4▼c©2024
■300    ▼a1  online  resource
■336    ▼atext▼btxt▼2rdacontent
■337    ▼acomputer▼bc▼2rdamedia
■338    ▼aonline  resource▼bcr▼2rdacarrier
■504    ▼aIncludes  bibliographical  references  and  index.
■5050  ▼aIntroduction  to  artificial  intelligence  /  Mahmoud  El  Samad,  Ghalia  Nasserddine  and  Ahmad  Kheir  --  AI  and  human  cognizance  /  P.Sanjna,  D.Sujith,  K.Vinodh  and  B.Vasavi  --  Integration  of  artificial  intelligence  with  IoT  for  smarter  systems  :  a  review  /  R.  Raj  Mohan,  N.P.  Saravanan  and  B.  Leander  --  Influence  of  artificial  intelligence  in  robotics  /  Pingili  sravya,  Skanda  S  Tallam,  Shivani  Prabhu  and  Anil  Audumbar  Pise  --  A  review  on  applications  of  artificial  intelligence  and  robotics  in  medical  and  healthcare  sector  /  Pokala  Pranay  Kumar,  Dheeraj  Anchuri,  Pusarla  Bhuvan  Sathvik  and  Raul  V.  Rodriguez  --  Impact  of  the  AI-induced  app  'BABYLON'  in  the  healthcare  industry  /  Satheesh  Kumar  M,  Tanmai  Sree  Musalamadugu,  Neelam  Kumari  and  Raul  V.  Rodriquez  --  Identification  &  prediction  of  pneumonia  from  CXR  images  using  deep  learning  /  Paul  Nirmal  Kumar  K,  Raul  V  Rodriguez  and  Pranay  Kumar  --  Pulmonary  cancer  detection  using  deep  convolutional  networks  /  Tejaswini  Aala,  Varadaraja  Krishna,  Megha  Gada,  Raul  V  Rodriguez  and  Abdullah  Y.  Muaad  --  Breast  cancer  prophecy  using  machine  learning  algorithm  (random  forest,  decision  tree,  logistic  regression  techniques)  /  Raja  Krishnamoorthy,  Arshia  Jabeen  and  Harshitha  Methukula  --  Breast  cancer  histopathological  images  classification  using  deep  learning  /  Laxminarayan  Pimpdae,  Tanvi  Gorantla,  Raul  V  Rodriguez  and  Jk.  Dhivya  --  Machine  learning  and  signal  processing  methodologies  to  diagnose  the  human  knee  joint  disorders  :  a  computational  analysis  /  Murugan  R,  BAlajee  A,  Senbagamalar  L,  Mir  Aadil  and  Shahid  Mohammad  Ganie  --  Diagnostics  and  treatment  help  to  patients  at  remote  location  using  edge  and  fog  computing  techniques  (EFCT)  /  T.Sunil,  J  Gladson  Maria  Britto  and  K.Bharath  --  Image  denoising  using  autoencoders  /  Mursal  Furqan  Kumbhar  --  Genetic  disorder  prediction  using  machine  learning  techniques  /  Sirisha  Alamanda,  T.  Prathima,  Rajesh  Kannan  K  and  P.  Supreeth  Reddy  --  Bayesian  models  in  cognitive  neuroscience  /  Gabriel  Kabanda  --  Knowledge  representation  in  AI  /  Ashwin  Kumaar  K,  Krishna  Sai  Talupula,  Gogineni  Venkata  Ashwith  and  Mitta  Chaitanya  Kumar  Reddy  --  ANN  model  for  analytics  /  Gaddam  Venkat  Shobika,  S  Pavan  Siddharth,  Vishwa  KD,  Hemachandran  K.  and  Manjeet  Rege  --  AI  and  real  time  business  intelligence  /  J.  Bhuvana,  M.  Balamurugan  and  Mir  Aadil  --  Introduction  to  statistics  and  probability  /  Abha  Singh  and  Reham  Alahmadi  --  Real  impacts  of  machine  learning  in  business  /  B  R  S  S  Sowjanya,  Pavan  Siddharth  and  Vishwa  KD  --  A  study  on  application  of  Natural  Language  Processing  (NLP)  technique  used  in  business  analytics  for  better  management  decisions  :  a  literature  review  /  Geetha  Manoharan,  Subhashini  Durai,  Gunaseelan  Alex  Rajesh  and  Sunitha  Purushottam  Ashtikar  --  Detection  of  polarity  in  the  native-language  comments  of  social  media  networks  /  Sudeshna  Sani,  Dipra  Mitra,  Soumen  Mondal  --  Machine  learning  techniques  for  detecting  and  analyzing  online  fake  reviews  /  Yashwitha  Buchi  Reddy,  Ch.Prathima,  Swetha  Jaladi,  B.Dinesh  and  .J.R.Arun  Kumar  --  A  study  on  application  of  expert  system  as  a  support  system  for  business  decisions  :  a  literature  review  /  Geetha  Manoharan,  Subhashini  Durai,  Gunaseelan  Alex  Rajesh  and  Sunitha  Purushottam  Ashtikar  --  Applications  of  artificial  intelligence  on  customer  experience  and  service  quality  of  the  banking  sector:  an  overview  /  Sravani  Elaprolu,  Channabasava  Chola,  Varanasi  Chandradhar  and  Raul  V  Rodriguez  --  Prediction  of  terrorist  attacks  over  the  globe  using  the  global  terrorism  database  :  a  comparative  analysis  of  machine  learning  prediction  algorithms  /  Happy  and  Manoj  Yadav  --  Deep  learning  approach  for  identifying  the  bird  species  /  B.  Harsha  Vardhan,  T.  Monish,  P.  Srihitha  Chowdary,  S.  Ravi  Kishan  and  D.  Suresh  Babu  --  AI  in  energy  sector  /  Ashwin  Kumaar  K,  Abhishek  Asodu  Shetty,  Kirti  Aija  and  C  Naga  Sai  Kiran  --  Artificial  intelligence  in  the  fashion  design  and  IPRS  /  Kaja  Bantha  Navas  Raja  Mohamed,  Divya  Batra,  Shivani  ,  Vikor  Molnar  and  Sunny  Raj  --  Artificial  intelligence  in  education  :  a  critic  on  English  language  teaching  /  Harishree  and  Jegan  Jayapal  --  Review  of  learning  analytics  techniques  and  its  limitations  in  the  higher  education  :  a  21st  century  paradigm  /  Tuhin  Utsab  Paul  and  Tanushree  Biswas.
■520    ▼a"Artificial  Intelligence  and  Knowledge  Processing  play  a  vital  role  in  various  automation  industries  and  their  functioning  in  converting  traditional  industries  to  AI-based  factories.  This  book  acts  as  a  guide  and  blends  the  basics  of  Artificial  Intelligence  in  various  domains,  which  include  Machine  Learning,  Deep  Learning,  Artificial  Neural  Networks,  and  Expert  Systems,  and  extends  their  application  in  all  sectors.  Artificial  Intelligence  and  Knowledge  Processing:  Improved  Decision-Making  and  Prediction,  discusses  the  designing  of  new  AI  algorithms  used  to  convert  general  applications  to  AI-based  applications.  It  highlights  different  Machine  Learning  and  Deep  Learning  models  for  various  applications  used  in  healthcare  and  wellness,  agriculture,  and  automobiles.  The  book  offers  an  overview  of  the  rapidly  growing  and  developing  field  of  AI  applications,  along  with  Knowledge  of  Engineering,  and  Business  Analytics.  Real-time  case  studies  are  included  across  several  different  fields  such  as  Image  Processing,  Text  Mining,  Healthcare,  Finance,  Digital  Marketing,  and  HR  Analytics.  The  book  also  introduces  a  statistical  background  and  probabilistic  framework  to  enhance  the  understanding  of  continuous  distributions.  Topics  such  as  Ensemble  Models,  Deep  Learning  Models,  Artificial  Neural  Networks,  Expert  Systems,  and  Decision-Based  Systems  round  out  the  offerings  of  this  book.  This  multi-contributed  book  is  a  valuable  source  for  researchers,  academics,  technologists,  industrialists,  practitioners,  and  all  those  who  wish  to  explore  the  applications  of  AI,  Knowledge  Processing,  Deep  Learning,  and  Machine  Learning"--▼cProvided  by  publisher.
■5450  ▼aHemachandran  K  is  currently  working  as  a  Professor  in  the  Department  of  Analytics  and  Artificial  Intelligence  at  the  School  of  Business,  Woxsen  University,  Hyderabad,  Telangana,  India.  He  is  a  passionate  teacher  with  14  years  of  teaching  experience  and  5  years  of  research  experience.  His  research  interest  are  Machine  Learning,  Deep  Learning,  Computer  Vision,  NLP,  Knowledge  Engineering  and  Decision  Support  Systems.  He  has  three  patents  to  his  credentials.  He  has  more  than  20  journals  and  international  conference  publications  to  his  credit  and  has  served  as  a  resource  person  at  various  national  and  international  scientific  conferences.  Raul  Villamarin  Rodriguez  is  the  Professor,  School  of  Business,  Woxsen  University,  Hyderabad,  Telangana,  India.  He  holds  a  Ph.D.  in  Artificial  Intelligence  and  Robotics  Process  Automation  applications  in  Human  Resources.  Fmr.  Co-CEO  at  Irians  Research  Institute.  His  areas  of  expertise  and  interest  are  Machine  Learning,  Deep  Learning,  Natural  Language  Processing,  Computer  Vision,  Robotic  Process  Automation,  Multi-agent  Systems,  Knowledge  Engineering,  and  Quantum  Artificial  Intelligence.  He  has  co-authored  two  reference  books  and  has  more  than  70  publications  to  his  credit.  Umashankar  Subramaniam  is  an  Associate  Professor  in  Electrical  Engineering  at  the  College  of  Engineering,  Prince  Sultan  University,  Riyadh  Saudi  Arabia.  Previously  he  has  worked  as  an  Associate  Professor  and  Head  of  the  Department  of  Energy,  VIT,  Vellore.  He  has  more  than,  15  years  of  teaching,  research,  and  industrial  R&D  experience.  He  has  published  more  than  250  research  papers  in  national  and  international  journals  and  prestigious  conferences.  He  is  an  Editor  of  IEEE  Access,  Heliyon,  and  other  high-impact  journals.  Valentina  E.  Balas  is  a  Professor  in  the  Department  of  Automatics  and  Applied  Software  at  the  Faculty  of  Engineering,  "Aurel  Vlaicu"  University  of  Arad,  Romania.  She  holds  a  Ph.D.  Cum  Laude,  in  Applied  Electronics  and  Telecommunications  from  the  Polytechnic  University  of  Timisoara.  Dr.  Balas  is  the  author  of  more  than  350  research  papers  in  refereed  journals  and  international  conferences.  Her  research  interests  are  in  Intelligent  Systems,  Fuzzy  Control,  Soft  Computing,  Smart  Sensors,  Information  Fusion,  Modeling,  and  Simulation.  She  is  the  Editor-in-Chief  to  the  International  Journal  of  Advanced  Intelligence  Paradigms  (IJAIP)  and  to  the  International  Journal  of  Computational  Systems  Engineering  (IJCSysE).
■588    ▼aDescription  based  on  online  resource;  title  from  digital  title  page  (viewed  on  October  27,  2023).
■590    ▼aWorldCat  record  variable  field(s)  change:  050
■650  0▼aArtificial  intelligence▼vCase  studies.
■650  0▼aDecision  making▼xData  processing.
■650  6▼aIntelligence  artificielle▼vÉtudes  de  cas.
■650  6▼aPrise  de  décision▼xInformatique.
■650  7▼aTECHNOLOGY  /  Manufacturing▼2bisacsh
■650  7▼aArtificial  intelligence▼2fast
■650  7▼aDecision  making▼xData  processing▼2fast
■655  7▼aCase  studies▼2fast
■655  4▼aElectronic  books.
■7001  ▼aRodriguez,  Raul  Villamarin▼eeditor.
■7001  ▼aSubramaniam,  Umashankar▼eeditor.
■7001  ▼aBalas,  Valentina  Emilia▼eeditor.
■77608▼iPrint  version▼tArtificial  intelligence  and  knowledge  processing▼dBoca  Raton  :  CRC  Press,  2023▼z9781032354163▼w(DLC)    2023010710
■85640▼3EBSCOhost▼uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3662311
■938    ▼aEBSCOhost▼bEBSC▼n3662311
■994    ▼a92▼bN$T

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