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Data Management, Analytics and Innovation: Proceedings of ICDMAI 2023 de Neha Sharma

Data Management, Analytics and Innovation: Proceedings of ICDMAI 2023: Lecture Notes in Networks and Systems, cartea 662

Editat de Neha Sharma, Amol Goje, Amlan Chakrabarti, Alfred M. Bruckstein
en Limba Engleză Paperback – 29 mai 2023

Găsim în acest volum o resursă tehnică de nivel avansat, dedicată cercetătorilor și practicienilor care dețin deja cunoștințe solide în inteligență artificială și procesarea fluxurilor de date. Fiind un volum de tip „proceedings” din seria Lecture Notes in Networks and Systems, lucrarea necesită familiaritate cu algoritmi de învățare automată și structuri complexe de date, oferind în schimb o perspectivă riguroasă asupra inovațiilor din 2023.

Structura celor peste 1000 de pagini reflectă o progresie de la fundamente teoretice la implementări specifice. Descoperim aici capitole dedicate clasificării semnalelor EEG, utilizării algoritmului de clustering Improved Affinity Propagation (IMAP) pentru fluxuri de date în evoluție și tehnici de Deep Learning pentru recunoașterea genului sau detectarea COVID-19. Această diversitate tematică poziționează volumul pe linia practică a lucrării Proceedings of Data Analytics and Management, dar cu un focus distinct pe convergența dintre managementul datelor și inovația în sistemele inteligente.

Suntem de părere că valoarea adăugată a acestei ediții constă în ancorarea în probleme reale de inginerie și securitate, precum monitorizarea traficului maritim sau managementul activelor în timp real. Față de abordările teoretice mai restrânse, Data Management, Analytics and Innovation integrează analiza de date cu infrastructura de rețea, oferind soluții concrete pentru provocările actuale ale Big Data. Deși editorii au explorat anterior teme medicale specifice, precum interpretarea EKG-ului în lucrarea Die Kunst der EKG-Interpretation beherrschen, acest volum extinde aria de expertiză către un ecosistem digital global, unde datele devin fundamentul deciziilor automatizate.

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Specificații

ISBN-13: 9789819914135
ISBN-10: 9819914132
Pagini: 1081
Ilustrații: XXVIII, 1081 p. 551 illus., 398 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.84 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Networks and Systems

Locul publicării:Singapore, Singapore

De ce să citești această carte

Pentru specialiștii în Data Science și inginerii AI, acest volum oferă acces la cele mai noi metodologii de procesare a datelor validate prin peer-review. Cititorul câștigă o viziune clară asupra implementării algoritmilor de clustering și deep learning în scenarii complexe, de la urbanism la biotehnologie. Este o investiție în cunoaștere pentru oricine dorește să rămână la curent cu standardele internaționale în inovația digitală.

Despre autor

Lucrarea este coordonată de un colectiv de editori de prestigiu, printre care se numără Neha Sharma, Amol Goje, Amlan Chakrabarti și Alfred M. Bruckstein. Aceștia sunt experți recunoscuți în domeniul informaticii și analizei de date, cu o activitate vastă în organizarea conferințelor internaționale și publicarea cercetărilor de vârf. Contribuția lor colectivă asigură rigoarea științifică a volumului, integrând perspective multidisciplinare care variază de la viziunea computațională la managementul rețelelor, facilitând astfel transferul de tehnologie între academie și sectorul industrial.

Descriere scurtă

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. The volume is a collection of peer reviewed research papers presented at Seventh International Conference on Data Management, Analytics and Innovation (ICDMAI 2023), held during 20 – 22 January, 2023 in Pune, India. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

Cuprins

A Smart System to Classify Walking and Sitting Activity based on EEG Signal.- Monitoring urban water-logging using SAR - A Mumbai case study.- Suspicious Event Detection of Cargo Vessels based on AIS Data.- Identifying Trends using Improved Affinity Propagation (IMAP) Clustering Algorithm on Evolving Data Stream.- Graphology based behavior prediction : Case study analysis.- Statistics Driven Suspicious Event Detection of Fishing Vessels based on AIS Data.- Distributed Reduced Alphabet Representation for Predicting Proinflammatory Peptides.- Prakruti Nishchitikaran of Human Body using Supervised Machine Learning Approach.- X-ABI: Towards Parameter Efficient Multilingual Adapter Based Inference for Cross-Lingual Transfer.- Comparative Study of Depth Estimation from 2-D Scene Using Deep Learning Model.- DCNN-based Transfer Learning approaches for Gender Recognition.- Analysis of Machine Learning Algorithms for COVID Detection Using Deep Learning.- Real-time learning towards assets allocation.- Named Entity Recognition over Dialogue Dataset using Pre-trained Transformers.- A Comparative Study of Distance-based Clustering Algorithms in Fuzzy Failure Modes and Effects Analysis.- Economical Solution to Automatic Evaluation of an OMR Sheet Using Image Processing.- Defense and evaluation against covert channel based attacks in Android smartphones.- From Bricks to Clicks: The Potential of Big Data Analytics for Revolutionizing the Information Landscape in Higher Education Sector.- Data science approaches to public health: case studies using routine health data from India.- Arboviral Epidemic Disease Forecasting - A Survey on Diagnostics and Outbreak Models.- Convolution Neural Network for Weed Detection.- Machine Learning Model for Brain Stock Prediction.- Analysis of Covid-19 Genome using Continuous Wavelet Transform.

Notă biografică

Dr. Neha Sharma is a data science crusader who advocates its application for achieving sustainable goals, solving societal, governmental and business problems as well as promotes the use of open data. She has more than 22 years of experience and presently working with Tata Consultancy Services and is a Founder Secretary, Society for Data Science. Prior to this she has worked as Director of premier Institute of Pune, that run post-graduation courses like MCA and MBA. She is an alumnus of a premier College of Engineering and Technology, Bhubaneshwar and completed her PhD from prestigious Indian Institute of Technology, Dhanbad. She is a Senior IEEE member, Secretary – IEEE Pune Section and ACM Distinguished Speaker. She is an astute academician and has organized several national and international conferences and published several research papers. She is the recipient of “Best PhD Thesis Award” and “Best Paper Presenter at International Conference Award” at National Level. She is a well-known figure among the IT circle, and well sought over for her sound knowledge and professional skills. Neha Sharma has been instrumental in integrating teaching with the current needs of the Industry and steering students towards their bright future. 
Dr. Amol C. Goje is a President of Society of Data Science and served as a Director, Vidya Pratishthan’s Institute of Information Technology (VIIT), Baramati, Pune for last 19 Years. He has a total of over Twenty Five years of experience in the field of Information and Computer Technology (ICT). He has developed many systems for the University. Dr. Amol’s main area of interest is to work for underprivileged people in the rural part of India. In his nineteen years as a Director, he has designed and implemented numerous path-breaking, innovative and cost effective solutions. Some solutions to name a few are – number of computer labs, which are economically sustainable to the rural schools and colleges. Dr. Amols’s main innovation is Computer Mobile Van. He has done lot of research work in Information Technology and its application for rural community. In appreciation to his exemplary work, Dr. Amol has received the Ashoka Fellow award in the year 2002. He is engaged as a Technical advisor on many government and non-government organizations. He was also a member of sub-committee of the Planning Commission, Government of India in Information Technology division. In his tenure as the Director at VIIT, he has organized 8 international conferences in Baramati under the aegis of Baramati Initiatives. Dr. Goje has received the Marathwada Bhushan Award for spreading the IT education to the masses. He is the member of the Working group on Agricultural Extension Constituted by Planning Commission government of India. He is key player in setting up the Community Training and Learning Centers (CTLC) in Mah arashtra. In this project, VIIT is providing Computer Training to the women from the Self Help groups (SHG). Dr. Goje has received the Manthan (AIF) award successively for two years in Year 2005 and 2006.Governemt of Maharashtra “Maharashtra IT award (IT HRD) in 2008. He is also the President of Community Radio Association (CRA) of India. Recently he has been bestowed with the honor of ‘Best Director’ of Pune University -2016-17. Currently he is a Chairman Board of Studies,Savitribai Phule Pune University,Pune.
Amlan Chakrabarti is presently a Full Professor and Director of the A.K.Choudhury School of Information Technology, University of Calcutta. He is an M.Tech. from University of Calcutta and did his Doctoral research at the Indian Statistical Institute, Kolkata. He was a Post-Doctoral fellow at the School of Engineering, Princeton University, USA during 2011-2012. He is the recipient of DST BOYSCAST fellowship award in the area of Engineering Science in 2011, Indian National Science Academy Visiting Scientist Fellowship in 2014, JSPS Invitation Research Award from Japan in 2016, Erasmus Mundus Leaders Award from European Union in 2017, Hamied Visiting Fellowship University of Cambridge in 2018 and Shiksha Ratna Award from Govt. of West Bengal, in 2018. He is the Team Leader of European Center for Research in Nuclear Science (CERN, Geneva) ALICE-India project for University of Calcutta and also a key member of the CBM-FAIR project at Darmstadt Germany. He is also the Principal Investigator of the Center of Excellence in Systems Biology and Biomedical Engineering, University of Calcutta funded by MHRD (TEQIP-II). He has published around 150 research papers in referred journals and conferences and has graduated 10 Ph.D. students till date. He has been involved in research projects funded by DRDO, DST, DAE, MietY, UGC, Ministry of Social Empowerment, TCS, Intel India and TEQIP.. He is a Sr. Member of IEEE and ACM, Secretary of IEEE CEDA India Chapter and Vice President Society for Data Science. His research interests are: Quantum Computing, VLSI design, Embedded System Design, Computer Vision and Analytics.
Professor Alfred M. Bruckstein, BSc, MSc in EE from the Technion IIT, Haifa, Israel, and PhD in EE, from Stanford University, Stanford, California, USA, is a Technion Ollendorff Professor of Science, in the Computer Science Department there, and is a Visiting Professor at NTU, Singapore, in the SPMS. He has done research on Neural Coding Processes, and Stochastic Point Processes, Estimation Theory, and Scattering Theory, Signal and Image Processing Topics, Computer Vision and Graphics, and Robotics. Over the years he held visiting positions at Bell Laboratories, Murray Hill, NJ, USA, (1987-2001) and TsingHua University, Beijing, China, (2002-223), and made short time visits to many universities and research centers worldwide. At the Technion, he was the Dean of the Graduate School, and is currently the Head of the Technion Excellence Program.

Caracteristici

Presents research works in the field of data management, analytics and innovation Results of ICDMAI 2023 held in Pune, India Serves as a reference for researchers and practitioners in academia and industry