LDR | | 07894cmm u22008178i 4500 |
001 | | 000000327635 |
003 | | OCoLC |
005 | | 20240307140209 |
006 | | m d |
007 | | cr ||||||||||| |
008 | | 221212s2023 flu ob 001 0 eng |
010 | |
▼a 2022058952 |
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▼a GBC380836
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▼a 021033769
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▼a 1380691358
▼a 1381122394 |
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▼a 9781003322887
▼q (ebook) |
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▼a 9781000893144
▼q (electronic bk. : EPUB) |
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▼a 1000893146
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▼a 9781000893144
▼q (electronic bk.) |
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▼a 1000893146
▼q (electronic bk.) |
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▼z 9781032345802
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▼z 9781032345819
▼q (paperback) |
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▼a 10.1201/9781003322887
▼2 doi |
035 | |
▼a 3595149
▼b (N$T) |
035 | |
▼a (OCoLC)1378066452
▼z (OCoLC)1380691358
▼z (OCoLC)1381122394 |
037 | |
▼a 9781003322887
▼b Taylor & Francis |
040 | |
▼a DLC
▼b eng
▼e rda
▼c DLC
▼d TYFRS
▼d N$T
▼d UKMGB
▼d UKAHL
▼d OCLCF
▼d OCLCO
▼d 248032 |
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▼a pcc |
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▼a MAIN |
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▼a R855.3 |
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▼a W 26.55.A7 |
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▼a COM
▼x 004000
▼2 bisacsh |
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▼a BUS
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▼2 bisacsh |
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▼a COM
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▼a UYQ
▼2 bicssc |
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▼a 610.285
▼2 23/eng/20230429 |
245 | 00 |
▼a Artificial intelligence of health-enabled spaces /
▼c edited by Fadi Al-Turjman. |
250 | |
▼a First edition. |
263 | |
▼a 2306 |
264 | 1 |
▼a Boca Raton :
▼b CRC Press,
▼c 2023. |
300 | |
▼a 1 online resource |
336 | |
▼a text
▼b txt
▼2 rdacontent |
337 | |
▼a computer
▼b c
▼2 rdamedia |
338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
504 | |
▼a Includes bibliographical references and index. |
505 | 0 |
▼a IoT and Machine Learning based smart healthcare system for monitoring patient / Sharad Chauhan, Neha Arora, Ritika Arora -- Detection and Diagnosis of COVID-19 from chest X-ray images using Deep Learning -- Gomathi L, Amit Kumar Tyagi -- Analyzing the Stages of Diabetic Retinopathy Using Deep Learning Techniques / M Boomika, Priyanka K, Sushmitha S, Harshvardhan Tiwari -- COVID-19 Detection Based on Deep Learning Feature Extraction and AdaBoost Ensemble / Classifier -- Auwalu Saleh Mubarak, Sertan Serte, Zubaida Sa'id Ameen, Chadi Altrjman, Fadi Al-Turjman -- Deep learning and transfer learning models for detection of COVID-19/ Abdullahi Umar Ibrahim, Fadi Al-Turjman, Mehmet Ozsoz, Ayse Gunnay Kibarer, Serife Kaba -- Industry 4.0 Challenges and Applications in Healthcare Industry with Emerging -- Technologies / Meenu Gupta, Rakesh Kumar, Madhu Bala -- Cyber-security Countermeasures, and Vulnerabilities to Prevent Social-Engineering -- Attacks / Ramiz Salama and Fadi Al-Turjman -- Development of a Covid-19 Tracking System / Olusegun Odewole, Fadi Al-Turjman -- Creating a Cooling System App for Patients Who Are Immobile / Fadi Al-Turjman, Ramiz Salama, Auwalu Mubarak -- An Overview of Autonomous Perception for Robotic Arm / Auwalu Saleh Mubarak, Zubaida Said Ameen, Fadi Al-Turjman -- Artificial intelligence-based methods for SARS-CoV-2 detection with CRISPR systems / Zubaida Said Ameen, Auwalu Saleh Mubarak, Fadi Al-Turjman, Sinem Alturjman. |
520 | |
▼a "Artificial Intelligence of Health-Enabled Spaces (AIoH) has made revolutionary advances in clinical studies that we know so far. Among these advances, intelligent and medical services are gaining lots of interest. Nowadays, AI-powered technologies are not only used in saving lives, but also in our daily life activities in diagnosing, controlling, and even tracking of COVID-19 patients. The AI-powered solutions are expected to communicate with cellular networks smoothly in the next generation networks (5G/6G and beyond) for more effective/critical medical applications. This will open the door for another interesting research areas. This book focuses on the development and analysis of Artificial Intelligence (AI) models applications across multi-disciplines. AI based deep learning models, fuzzy and hybrid intelligent systems, and intrinsic explainable model are also being presented in this book. Some of the fields considered in this smart health-oriented book includes AI applications in Electrical Engineering, Biomedical Engineering, Environmental Engineering, Computer Engineering, Education, Cyber Security, Chemistry, Pharmacy, Molecular Biology, and Tourism. This book is dedicated to addressing the major challenges in fighting diseases and psychological issues using AI. Challenges vary from cost and complexity to availability and accuracy. The aim of this book is hence to focus on both the design and implementation aspects of the AI-based approaches in proposed health-related solutions. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent enabling technologies"--
▼c Provided by publisher. |
545 | 0 |
▼a Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen's University, Canada, in 2011. He is the associate dean for research and the founding director of the International Research Center for AI and IoT at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is the head of Artificial Intelligence Engineering Dept., and a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks' architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT). His publication history spans over 400 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 40 books about cognition, security, and wireless sensor networks' deployments in smart IoT environments, which have been published by well-reputed publishers such as Taylor and Francis, Elsevier, IET, and Springer. He has received several recognitions and best papers' awards at top international conferences. He also received the prestigious Best Research Paper Award from Elsevier Computer Communications Journal for the period 2015-2018, in addition to the Top Researcher Award for 2018 at Antalya Bilim University, Turkey. Prof. Al-Turjman has led a number of international symposia and workshops in flagship communication society conferences. Currently, he serves as book series editor and the lead guest/associate editor for several top tier journals, including the IEEE Communications Surveys and Tutorials (IF 23.9) and the Elsevier Sustainable Cities and Society (IF 7.58), in addition to organizing international conferences and symposiums on the most up to date research topics in AI and IoT. |
588 | |
▼a Description based on print version record and CIP data provided by publisher; resource not viewed. |
590 | |
▼a WorldCat record variable field(s) change: 650 |
650 | 0 |
▼a Artificial intelligence
▼x Medical applications. |
650 | 0 |
▼a Medical informatics. |
650 | 0 |
▼a Artificial intelligence. |
650 | 12 |
▼a Artificial Intelligence |
650 | 22 |
▼a Medical Informatics Applications |
650 | 6 |
▼a Intelligence artificielle en me?decine. |
650 | 6 |
▼a Me?decine
▼x Informatique. |
650 | 6 |
▼a Intelligence artificielle. |
650 | 7 |
▼a artificial intelligence.
▼2 aat |
650 | 7 |
▼a COMPUTERS / Artificial Intelligence
▼2 bisacsh |
650 | 7 |
▼a COMPUTERS / Networking / General
▼2 bisacsh |
650 | 7 |
▼a Artificial intelligence
▼x Medical applications
▼2 fast |
650 | 7 |
▼a Medical informatics
▼2 fast |
700 | 1 |
▼a Al-Turjman, Fadi,
▼e editor. |
776 | 08 |
▼i Print version:
▼t Artificial intelligence of health-enabled spaces
▼b First edition.
▼d Boca Raton : CRC Press, 2023
▼z 9781032345802
▼w (DLC) 2022058951 |
856 | 40 |
▼3 EBSCOhost
▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3595149 |
938 | |
▼a EBSCOhost
▼b EBSC
▼n 3595149 |
990 | |
▼a 관리자 |
994 | |
▼a 92
▼b N$T |