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Intelligent Computing and Applications

Part of the Smart Innovation, Systems and Technologies Book Series (volume 315)

Editors: Rao, B. Narendra Kumar; Balasubramanian, R.; Wang, Shiuh-Jeng; Nayak, Richi

DOI: 10.1007/978-981-19-4162-7

ISBN: 978-981-19-4161-0

Publisher: Springer Nature Singapore - Springer Journals

Nov 14, 2022

1 - 10 of 46 Chapters

LitStream

Chapter 1Prediction of Depression-Related Posts in Instagram Social Media Platform

Harini, M.; Sivakumar, B.

Pages: 1 –7

[Depression is taken as a vital issue that is a leading cause of disability worldwide and is a major contributor to serious medical illness which may even lead to suicide. Depression causes feelings of sadness and loss of interest in activities you once enjoyed. This serious medical illness...
LitStream

Chapter 2Classification of Credit Card Frauds Using Autoencoded Features

Sudarshana, Kerenalli; MylaraReddy, C.; Adhoni, Zameer Ahmed

Pages: 9 –17

[With the advent of online payment and business systems, safety of transactions has become an essential factor. In 2020, Internet Crime Complaint Center (IC3) had received 2,211,396 complaints culminating in a $13.3 billion loss which is approximately equal to cumulative loss from 2016–19. Credit...
LitStream

Chapter 3BIVFN: Blockchain-Enabled Intelligent Vehicular Fog Networks

Gaba, Priyanka; Raw, Ram Shringar

Pages: 19 –27

[Vehicular ad-hoc network (VANET), a network that facilitates inter-vehicle communication regarding road safety or entertainment. The popularity of VANET is because of its increasing demand and its blend with the latest technologies like cloud, IoT, AI, and ML. The expansion in vehicles on the...
LitStream

Chapter 4Deep Learning Approach for Pedestrian Detection, Tracking, and Suspicious Activity Recognition in Academic Environment

Hajari, Kamal; Gawande, Ujwalla; Golhar, Yogesh

Pages: 29 –38

[Pedestrian detection, tracking, and suspicious activity recognition have grown increasingly significant in computer vision applications in recent years as security threats have increased. Continuous monitoring of private and public areas in high-density areas is very difficult, so active video...
LitStream

Chapter 5Data-Driven Approach to Deflate Consumption in Delay Tolerant Networks

Venkata Subbaiah, C.; Govinda, K.

Pages: 39 –47

[Postponement tolerant systems administration (DTN) is a technique to PC orchestrates plan that attempts to deal with the specific issues in heterogeneous frameworks that could require steady accessibility. The capacity to move, or course, information from a communicating end to a tolerant end is...
LitStream

Chapter 6Code-Level Self-adaptive Approach for Building Reusable Software Components

Korra, Sampath; Biksham, V.; Vinaykumar, Kotte; Bhaskar, T.

Pages: 49 –57

[The code-level framework is based on the notion that separate process units it can be well defined along with the broader process of codes, which are compatible with the life-cycle model. Centric code framework is chosen to meet the needs of domain-specific organizations and special projects....
LitStream

Chapter 7Design of a Deep Network Model for Weed Classification

Vaidhehi, M.; Malathy, C.

Pages: 59 –68

[Deep learning has attained superior performance in various aspects of human life and the agricultural field. The primary target of deep learning for farming is to predict the precise crop and weed location over the farmland. Here, a novel dense convolutional neural networks (DCNN)-based network...
LitStream

Chapter 8E-Voting System Using U-Net Architecture with Blockchain Technology

Sudha, Nuthalapati; Brahmananda Reddy, A.

Pages: 69 –79

[In order to give power to the right person, any democracy must have a fair voting system that meets the needs of the people. In India, there are two types of voting system: paper ballots and electronic voting machines (EVMs), both of which have similar drawbacks. The provision of security in a...
LitStream

Chapter 9Multi-layered Architecture to Monitor and Control the Energy Management in Smart Cities

Damodaram, A. K.; Sreenivasa Chakravarthi, S.; Venkateswara Reddy, L.; Reddy Madhavi, K.

Pages: 81 –94

[Energy meter monitoring and control management in real time still have several limitations in smart city establishments. One of the essential components of smart city is energy meter monitoring and control in real time. Since it is a herculean task for the energy companies to monitor and control...
LitStream

Chapter 10Bio-Inspired Firefly Algorithm for Polygonal Approximation on Various Shapes

Venkateswara Reddy, L.; Davanam, Ganesh; Pavan Kumar, T.; Sunil Kumar, M.; Narendar, Mekala

Pages: 95 –107

[Polygonal approximation (PA) is a challenging problem in representation of images in computer vision, pattern recognition and image analysis. This paper proposes a stochastic technique-based firefly algorithm (FA) for PA. This technique customizes a kind of randomization by searching a set of...

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