東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Innovations in computer vision and d...

Ghani, Arfan.

Linked to FindBook

Google Book

Amazon

博客來

Innovations in computer vision and data classification = from pandemic data analysis to environmental and health monitoring /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Innovations in computer vision and data classification/ by Arfan Ghani.
Reminder of title:	from pandemic data analysis to environmental and health monitoring /
Author:	Ghani, Arfan.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xiv, 148 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction -- Accelerating the classification of pandemic data using reconfigurable hardware (FPGA) and machine learning -- Computer vision based automated diagnosis for skin cancer detection -- Design and development of an integrated analytics platform for environmental data classification -- Design and development of multimodal healthcare data sensing and classification using Deep Neural Networks (DNNs) -- Low-power analogue design with Spiking Neural Networks (SNN) -- Full custom design of a sustainable, low-power environmental monitoring node -- Real-time performance analysis of Maximum-Power-Point Tracking (MPPT) algorithm for energy conversion on hardware platform (FPGA) -- Computer-vision based real data generation for object classification -- Conclusion.
Contained By:	Springer Nature eBook
Subject:	Computer vision. -
Online resource:	https://doi.org/10.1007/978-3-031-60140-8
ISBN:	9783031601408

Innovations in computer vision and data classification = from pandemic data analysis to environmental and health monitoring /
Ghani, Arfan.

Innovations in computer vision and data classificationfrom pandemic data analysis to environmental and health monitoring /[electronic resource] :by Arfan Ghani. - Cham :Springer Nature Switzerland :2024. - xiv, 148 p. :ill. (some col.), digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8609. - EAI/Springer innovations in communication and computing..

Introduction -- Accelerating the classification of pandemic data using reconfigurable hardware (FPGA) and machine learning -- Computer vision based automated diagnosis for skin cancer detection -- Design and development of an integrated analytics platform for environmental data classification -- Design and development of multimodal healthcare data sensing and classification using Deep Neural Networks (DNNs) -- Low-power analogue design with Spiking Neural Networks (SNN) -- Full custom design of a sustainable, low-power environmental monitoring node -- Real-time performance analysis of Maximum-Power-Point Tracking (MPPT) algorithm for energy conversion on hardware platform (FPGA) -- Computer-vision based real data generation for object classification -- Conclusion.

This book delves into the dynamic realm of data classification, focusing on its real-world applications. Through an insightful journey, readers are introduced to the practical applications of reconfigurable hardware, machine learning, computer vision, and neuromorphic circuit design across diverse domains. The author explores topics such as the role of Field-Programmable Gate Arrays (FPGAs) in expediting pandemic data analysis and the transformative impact of computer vision on healthcare. Additionally, the book delves into environmental data classification, energy-efficient solutions for deep neural network applications, and real-time performance analysis of energy conversion algorithms. With the author's guidance, readers are led through practical implementations, ensuring a comprehensive grasp of each subject matter. Whether a seasoned researcher, engineer, or student, this book equips readers with the tools to make data-driven decisions, optimize systems, and innovate solutions across various fields, from healthcare to environmental monitoring. Explores advancements in data classification, encompassing FPGA acceleration, neuromorphic hardware, and computer vision-based diagnosis; Presents data classification through real-world examples from healthcare, environmental science, and energy conversion, employing applied machine learning and deep neural networks; Includes guidance on the application of complex concepts with ease through a didactic approach and hands-on instruction.

ISBN: 9783031601408

Standard No.: 10.1007/978-3-031-60140-8doiSubjects--Topical Terms:

540671
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Innovations in computer vision and data classification = from pandemic data analysis to environmental and health monitoring /
LDR:03432nmm a22003495a 4500 001 2388204
003 DE-He213
005 20240806130230.0
006 m d
007 cr nn 008maaau
008 250916s2024 sz s 0 eng d
020 $a 9783031601408 $q (electronic bk.)
020 $a 9783031601392 $q (paper)
024 7 $a 10.1007/978-3-031-60140-8 $2 doi
035 $a 978-3-031-60140-8
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1634
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 006.37 $2 23
090 $a TA1634 $b .G411 2024
100 1 $a Ghani, Arfan. $3 3753117
245 1 0 $a Innovations in computer vision and data classification $h [electronic resource] : $b from pandemic data analysis to environmental and health monitoring / $c by Arfan Ghani.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xiv, 148 p. : $b ill. (some col.), digital ; $c 24 cm.
347 $a text file $b PDF $2 rda
490 1 $a EAI/Springer innovations in communication and computing, $x 2522-8609
505 0 $a Introduction -- Accelerating the classification of pandemic data using reconfigurable hardware (FPGA) and machine learning -- Computer vision based automated diagnosis for skin cancer detection -- Design and development of an integrated analytics platform for environmental data classification -- Design and development of multimodal healthcare data sensing and classification using Deep Neural Networks (DNNs) -- Low-power analogue design with Spiking Neural Networks (SNN) -- Full custom design of a sustainable, low-power environmental monitoring node -- Real-time performance analysis of Maximum-Power-Point Tracking (MPPT) algorithm for energy conversion on hardware platform (FPGA) -- Computer-vision based real data generation for object classification -- Conclusion.
520 $a This book delves into the dynamic realm of data classification, focusing on its real-world applications. Through an insightful journey, readers are introduced to the practical applications of reconfigurable hardware, machine learning, computer vision, and neuromorphic circuit design across diverse domains. The author explores topics such as the role of Field-Programmable Gate Arrays (FPGAs) in expediting pandemic data analysis and the transformative impact of computer vision on healthcare. Additionally, the book delves into environmental data classification, energy-efficient solutions for deep neural network applications, and real-time performance analysis of energy conversion algorithms. With the author's guidance, readers are led through practical implementations, ensuring a comprehensive grasp of each subject matter. Whether a seasoned researcher, engineer, or student, this book equips readers with the tools to make data-driven decisions, optimize systems, and innovate solutions across various fields, from healthcare to environmental monitoring. Explores advancements in data classification, encompassing FPGA acceleration, neuromorphic hardware, and computer vision-based diagnosis; Presents data classification through real-world examples from healthcare, environmental science, and energy conversion, employing applied machine learning and deep neural networks; Includes guidance on the application of complex concepts with ease through a didactic approach and hands-on instruction.
650 0 $a Computer vision. $3 540671
650 0 $a Classification rule mining. $3 2209888
650 1 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Data Science. $3 3538937
650 2 4 $a Computational Intelligence. $3 1001631
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a EAI/Springer innovations in communication and computing. $3 3299732
856 4 0 $u https://doi.org/10.1007/978-3-031-60140-8
950 $a Engineering (SpringerNature-11647)