My Account Log in

1 option

Data Science and Applications : Proceedings of ICDSA 2023, Volume 3 / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online

View online
Format:
Book
Author/Creator:
Nanda, Satyasai Jagannath.
Contributor:
Yadav, Rajendra Prasad.
Gandomi, Amir H.
Saraswat, Mukesh.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 820
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Data mining.
Internet of things.
Computational Intelligence.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Internet of Things.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Internet of Things.
Physical Description:
1 online resource (596 pages)
Edition:
1st ed. 2024.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Summary:
This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
Contents:
PV Array System Stimulation Affected By Variability in Temperature & Location
A Real-Time Cataract Detection And Diagnosis Through Web-Based Imaging Analysis
A Survey of Decentralized Digital Voting System using Blockchain Technology
Multiple Infectious Disease Diagnosis and Detection using Advanced CNN Models
Development of Indoor Autonomous Mobile BOT for Static Obstacle Avoidance
Forest Fire Detection and Prediction using HSV and MLP
An Insight into recent advances in the Intelligent Controller Methods
Some Observations on Social Media Mining tools for Health Applications
Smart Contact Lenses for Monitoring Patient’s Vision : A Generic Review
Liver lesion detection from MR T1 In-phase and Out-phase Fused Images and CT Images using YOLOv8
Analyzing Blockchain Data to Detect Bitcoin Addresses Involved in Illicit Activities using Anomaly Detection
Comparing Spring Boot and ReactJS with other Web Development Frameworks: A Study
Performance Analysis of InceptionV3, VGG16, Resnet50 models for crevices recognition on surfaces
A Machine Learning Approach for Moderating Toxic Hinglish Comments of YouTube Videos
Instant Accident Detection and Emergency Alert System
A Novel Approach to Video Summarization using AI-GPT and Speech Recognition
Classification of Underwater Fish Species using Custom-Built Deep Learning Architectures
Deep Learning Based Approach for Plant Disease Classification
Prediction of liver disease using Machine Learning Algorithms
Analysis of Detection of Glioma by Segmentation of Brain Tumor MRI images using Deep Learning
CloneAI : A Deep Learning Based Approach for Cloned Voice Detection
Analyzing the Performance and Wireless Network Capacity of NOMA: Study of the Impact of OMA and NOMA on 5G Network
Malarıa Parasıte Detectıon Usıng Deep Neural Networks
IoT-based Agriculture: Identification and Classification of Apple Quality Using Deep Learning
Plant Disease Detection on Edge Devices.-Analyze the Quality of Wine based on Machine Learning Approach
Safeguarding financial transaction with Cryptocurrency
Analysis and control of Dual Active Bridge Converter for Vehicle to load application in electric vehicle
Efficient Plant Leaf Disease Detection using a Customized Convolutional Neural Network
Analyzing and Predicting Temperature Trends in a Metropolitan Area Using Time Series Analysis and Machine Learning Techniques
An Explainable AI (XAI) Based Framework for Detecting Diseases in Paddy Crops
De-noising Tail Entity Selection in Automatic Question Generation with Fine-tuned T5 Model
Hybridization of Artificial Gravity Cuckoo Search Algorithm with XGboost- Particle Swarm Optimized Neural Networks for Cardiac Feature Selection
Urdu Sentiment Analysis: A Review
Fir Filter Design Using Distributed Arithmetic With Lookup Tables (LUTs)
Classification of Brain Tumour disease with Transfer learning using modified pre-trained deep convolutional neural network
Bayesian Optimized Traffic Sign Recognition on Social Media Data Using Deep Learning
Enhancing the Performance of PSO Algorithm for Clustering High dimensional data using Autoencoders
Predicting Covid-19 Outbreaks: Leveraging Machine Learning and Deep Learning Models for Trend Analysis
Stock Price Prediction using Sentiment Analysis on Financial News
A modified self organizing map with mean-shift clustering for seismicity analysis of earthquake catalogs
Adopting Blockchain Technology for Smart Farming and Food Security.
Notes:
Description based on publisher supplied metadata and other sources.
Other Format:
Print version: Nanda, Satyasai Jagannath Data Science and Applications
ISBN:
9789819978175
9819978173
OCLC:
1418852699

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account