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Kategorie szczegółowe BISAC

Applied Intelligence in Human-Computer Interaction

ISBN-13: 9781032392769 / Twarda / 2023 / 352 str.

Applied Intelligence in Human-Computer Interaction  9781032392769 Taylor & Francis Ltd - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Applied Intelligence in Human-Computer Interaction

ISBN-13: 9781032392769 / Twarda / 2023 / 352 str.

cena 609,72 zł
(netto: 580,69 VAT:  5%)

Najniższa cena z 30 dni: 579,30 zł
Termin realizacji zamówienia:
ok. 22 dni roboczych
Bez gwarancji dostawy przed świętami

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inne wydania

The text comprehensively discusses the fundamental aspects of human-computer interaction, and applications of artificial intelligence in diverse areas including disaster management, smart infrastructures, and healthcare.

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Electrical
Computers > Computer Engineering
Computers > Interactive & Multimedia
Wydawca:
Taylor & Francis Ltd
ISBN-13:
9781032392769
Rok wydania:
2023
Ilość stron:
352
Wymiary:
23.4 x 15.6
Oprawa:
Twarda
Dodatkowe informacje:
Bibliografia
Wydanie ilustrowane

1 Prediction of extreme rainfall events in Rajasthan 1

VIKAS BAJPAI, ANUKRITI BANSAL, STEPHEN VINCENT,

ABHIGYAN AGARWALA AND KARTIKEY SHARMA

2 Diagnostic model for wheat leaf rust disease using

image segmentation 31

DEEPAK KUMAR AND VINAY KUKREJA

3 A comparative study of traditional machine learning

and deep learning approaches for plant leaf disease

classification 47

R AHILA PRIYADHARSHINI, S ARIVAZHAGAN AND M ARUN

4 Application of artificial intelligence and automation

techniques to health service improvements 67

LAW KUMAR SINGH, MUNISH KHANNA AND REKHA SINGH

5 Artificial intelligence in disaster prediction and risk

reduction 83

SIBY SAMUEL

6 IoT-based improved mechanical design for elevator cart 97

REETU MALHOTRA AND ARMAAN JAIN

7 Wearable IoT using MBANs 113

KHUSHBOO DADHICH AND DEVIKA KATARIA

8 Simultaneous encryption and compression for securing

large data transmission over a heterogeneous network 129

SHILADITYA BHATTACHARJEE AND SULABH BANSAL

9 2D network on chip 143

SHREYASH YADAV, ABHISHEK SHARMA AND SULABH BANSAL

10 Artificial intelligence-based techniques for operations

research and optimization 157

KATAKAM VENKATA SEETHARAM

11 Heuristic strategies for warehouse location with store

incompatibilities in supply chains 185

ADARSH PANDEY, NIDHIP TANEJA AND PREM PRAKASH VUPPULURI

12 Novel scheduling heuristics for a truck-and-drone

parcel delivery problem 203

AMRATA GILL AND PREM PRAKASH VUPPULURI

13 A reliable click-fraud detection system for the

investigation of fraudulent publishers in online advertising 221

LOKESH SINGH, DEEPTI SISODIA, KUMAR SHASHVAT, ARSHPREET KAUR

AND PRAKASH CHANDRA SHARMA

14 Crypto-currency analytics and price prediction: A survey 255

VIKAS BAJPAI, ANUKRITI BANSAL, ASHRAY MITTAL AND PRATYUSH CHAHAR

15 Interactive remote control interface design 271

WEI-CHIH CHEN, HWANG-CHENG WANG AND ABHISHEK SHARMA

16 Collateral-based system for lending and renting of NFTs 283

TARUN SINGH, MEET KUMAR JAIN, VIBHAV GARG, VINAY KUMAR SHARMA,

PUNIT AGARWAL, VIKAS BAJPAI AND ABHISHEK SHARMA

Index 301

Jieh-Ren Chang earned his BS and MS degrees in nuclear science engineering from National Tsing Hua University, Taiwan, in 1986 and 1988, respectively. He is currently a professor in the Department of Electronic Engineering, National Ilan University (NIU), Taiwan. He is the Dean of the Library and Information Center and leads the Intelligent Information Retrieval Laboratory at NIU. Prior to joining NIU, he worked as a technician at the Missile Manufacturing Institute of the Sun Yat-sen Academy of Sciences under the Ministry of National Defense of Taiwan. He has also worked for System Studies & Simulation, Inc., a real-time simulation company in the USA. He has created several software systems for different government organizations and industrial companies. His current research interests are in image processing, knowledge discovery from databases and the Internet, machine deep learning and data mining, embedded systems, AIOT systems in industrial manufacturing processes, and innovative combinations of information and communication technologies.

Abhishek Sharma earned his B.E, in Electronics Engineering from Jiwaji University, Gwalior, India, and Ph.D. in Engineering from the University of Genoa, Italy. He is presently working as an associate professor in the Department of Electronics and Communication Engineering at The LNM Institute of Information and Technology, Jaipur, RJ, India. He is also a member of IEEE, Computer Society, and Consumer Electronics Society, a Lifetime member of Indian Society for Technical Education (ISTE), a Lifetime member of Advanced Computing Society (ACS), India, and a Life Member of Computer Society of India (CSI). He is also the coordinator of the Texas Instruments Lab, and Intel Intelligent Lab in the present Institute. He is also the center lead of the LNMIIT-Centre of Smart Technology (L-CST). He has authored and edited books, his research work is published in reputed conferences and journals. His current research interests are Real-Time Systems, Embedded Systems, Computer Vision, and IoT.

Sulabh Bansal is an associate professor at Manipal University, Jaipur. He has 22 years experience in the field of information technology and computer science, working on software application development, and research and academic projects. He earned his BEng from Shivaji University Kolhapur in 2000, going on to complete an MTech in 2012 and a PhD in algorithms for optimization problems at Dayalbagh Educational Institute in 2017. He is a Senior Member of the IEEE, a lifetime member of the Indian Society for Technical Education (ISTE), and a member of the Association for Computing Machinery India Council. He has published several research papers in SCIand Scopus-indexed journals, presented his work at different international conferences, and delivered keynote addresses at various national and international academic events. He has supervised a number of BTech and MTech projects, and PhD students. His research interests include evolutionary algorithms, optimization problems, quantum-inspired computing, and machine learning.

Prakash Chandra Sharma is an associate professor in the School of Information Technology at Manipal University, Jaipur, India. He earned his Master of Engineering in computer engineering from SGSITS Indore, and his PhD in computer science and engineering from the Indian Institute of Technology, Indore. He has more than 16 years’ teaching and research experience in various areas of computer science and engineering. His research interests include graph theory, theoretical computer science, artificial intelligence, image processing and soft computing. He has taught many subjects at undergraduate and postgraduate level, including data structures and algorithms, theory of computation, operating systems, compiler design, artificial intelligence, semantic web, graph theory, soft computing, and discrete mathematics.He has published a number of book chapters, as well as research papers in various SCI/Scopus-indexed international journals and in proceedings of national and international conferences. He is an active reviewer and editorial member of various reputed international journals in his research areas. He is a member of various international professional associations, including IEEE, CSI, IAENG, and the Institute of Engineers India. He has received many national awards.



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