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245 1 0 _aAdvances in Data-Driven Computing and Intelligent Systems
_h[electronic resource] :
_bSelected Papers from ADCIS 2023, Volume 2 /
_cedited by Swagatam Das, Snehanshu Saha, Carlos A. Coello Coello, Jagdish C. Bansal.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVIII, 538 p. 248 illus., 203 illus. in color.
_bonline resource.
336 _atext
_btxt
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337 _acomputer
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_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Networks and Systems,
_x2367-3389 ;
_v892
505 0 _aDeep learning models for classification of remotely sensed data of sugarcane -- Detection and Analysis of Wormhole Attacks in the AODV Routing Protocol with IEEE 802.11p for the Internet of Vehicles -- A Systematic Review of NLP Applications in Clinical Healthcare: Advancement and Challenges -- An Investigational Analysis of Automatic Speech Recognition on Deep Neural Networks and Gated Recurrent Unit Model -- Matched Filter and Kirsch’s Template based approach for Retinal Vessel Segmentation -- Prediction of abnormality in kidney function using classification techniques and fuzzy systems -- Implementation of Parallel Applications on the Hypercube Topology by Using Multistage Network -- Integrating Artificial Intelligence for Adaptive Decision-Making in Complex System -- Qualitative Research Reasoning on Dementia Fore-cast using Machine Learning Techniques -- Implementation of Vision Transformers on SPECT Heart Dataset: A Comparative Study -- CSR U-Net: A Novel Approach for Enhanced Skin CancerLesion Image Segmentation -- Automatic Detection and Classification System for Mesothelioma Cancer using Deep Learning Models with HPO -- A systematic literature survey on IoT in Healthcare: Security and Privacy Threats -- Hybrid Deep Learning Framework for Glaucoma Detection Using Fundus Images -- Sunflower Optimization with Elite Learning Strategy (SFO-ELS) for Antenna Selection in Massive MIMO Sub Array Switching Architecture -- Machine Learning Models for Human Activity Recognition: A Comparative Study.
520 _a This book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K. K. Birla Goa Campus, Goa, India, during September 21–23, 2023. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.
650 0 _aTelecommunication.
650 0 _aElectronic circuits.
650 0 _aCloud Computing.
_958386
650 0 _aArtificial intelligence.
_958441
650 0 _aSignal processing.
650 1 4 _aCommunications Engineering, Networks.
650 2 4 _aElectronic Circuits and Systems.
650 2 4 _aCloud Computing.
_958386
650 2 4 _aArtificial Intelligence.
_958441
650 2 4 _aSignal, Speech and Image Processing.
700 1 _aDas, Swagatam.
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700 1 _aSaha, Snehanshu.
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700 1 _aCoello Coello, Carlos A.
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700 1 _aBansal, Jagdish C.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Networks and Systems,
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856 4 0 _uhttps://doi.org/10.1007/978-981-99-9521-9
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