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E-raamat: Accelerating Discoveries in Data Science and Artificial Intelligence I: ICDSAI 2023, LIET Vizianagaram, India, April 24-25

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The Volume 1 book on Accelerating Discoveries in Data Science and Artificial Intelligence (Proceedings of ICDSAI 2023), that was held on April 24-25, 2023 by CSUSB USA, the International Association of Academicians (IAASSE), and the Lendi Institute of Engineering and Technology, Vizianagaram, India is intended to be used as a reference book for researchers and practitioners in the disciplines of AI and data science. The book introduces key topics and algorithms and explains how these contribute to healthcare, manufacturing, law, finance, retail, real estate, accounting, digital marketing, and various other fields. The book is primarily meant for academics, researchers, and engineers who want to employ data science techniques and AI applications to address real-world issues. Besides that, businesses and technology creators will also find it appealing to use in industry.

Analysis of fraud detection approaches in online payment systems
(Mandakini).- Investigating Context-Aware Sentiment Classification Using
Machine Learning Algorithms (P. Kiumar).- Opioid Recommendation To
Arthroplasty Patients Using Pearson Correlation And Shapiro Wilk Test (R
Sindhi).- POS Tagger Using LSTM and Pre-Trained Word Embeddings (Joshi).- An
early-stage colorectal cancer detection from colonoscopy images using
Enhanced Res-UNET (Mahanty).- Prediction of Rice Leaf Diseases at an Early
Stage using Deep Neural Networks (Mahanty).- A Study of the impact of
implementing a procedure for Creation of Risk Factor Software (Sriramulu).-
Chat Analysis and Spam Detection of Whatsapp using Machine Learning (Shaik).-
A Study of Hate Speech Detection Using Different Models (Mihir).- Image
Feature Narrator for Blind (R Soujanya).- Recognition of Indian gestural
language through neural networks: Narrative approach (Akula).- Frequency and
Voltage control of multi area multi source power system using whale
optimization algorithm (Simhadri).- Tumor Prediction Using Microarray Gene
Expression Profiles Through SVM and CBFS (Bandyopadhyay).- Advanced Machine
Learning Approaches for Improving Traffic Flow Predictions in Smart
Transportation Systems (Kanakaprabha).- Deep Learning Based Surroundings
Descriptor for Visually Challenged (Kasireddi).- Wind power prediction using
artificial neural network model : a case study (Bouabdallaoui).- Optimizing
Wind Farm Design by Incorporating Wind Turbines of Diverse Hub Heights
through PSO (El jaadi).- Use of Regression Algorithm for Bike Ride Sharing
Demand Projection (Pangaonkar).- Quantifiable Techniques To Improve Covid
Expectation Model Of Cox Regression (G Priyanka).- Bayesian Optimized Random
Forest Classifier for Improved Credit Card Fraud Detection: Overcoming
Challenges and Limitations (P K Rajesh).- Early Stage Detection Of Pcos Using
Deep Learning (Venkata).- Challenges and advancement in Federated
Recommendation System: A Comprehensive Review (Otari).- Conditional DCGAN for
Targeted Generation of MNIST Handwritten Digits (Vasamsetti).- Predicting
Cryptocurrency Price Using Multiple Deep Learning Models (Durga).- An
Overview:  Progressive Report on Magic Labelling (Biswas).- Efficient Object
Detection, Segmentation, and Recognition using YOLO Model (Sharma).- Music
Genre Classification using XGB Boost (Himabindu).- Semantic Web 3.0 Streaming
Based Music Application (Shaik).- A Novel Approach for Text Classification
using Feature Selection Algorithm and Term Weight Measures (RaviKumar).-
Content Based Music Video Recommender system using Cosine Similarity
(Musarrath).- A comparative study on Anomaly Based Network Intrusion
Detection System (Potti).- A spatiotemporal comprehensive graph based
learning for GIF sentiment analysis (Bhattacharyya).- A Novel Framework for
Detection of Objects from Video Using Deep Learning Technique (Mulla).-
Recognition of Emotion behind Speech using Deep Learning RESNET Algorithm
(Pinnamaraju).- Exploring Sign Language Recognition Methods: An Effective
Kernel Approach (Manogna).- Identification of Gradient based Attacks on
Autonomous Vehicle Traffic Recognition system using Statistical method
(Lakshmeeswari).- Sentiment Analysis of Tweets Using TF-IDF Vectorizer  and
Lemmatization with POS-Tagging (Saripilli) .- An Overview of Interval-valued
Intuitionistic Trapezoidal Fuzzy Number (IVITFN) and its Applications using
Fuzzy Logic Techniques (Murty).- A Machine Learning Approach for DDoS 
attacks detection in CIC-DDoS2019 dataset using Multiple linear regression
algorithm (Lakshmeeswari).- Image Fusion With CT And MRI Images For Improving
The Quality Of Diagnostic (Shaik).- Comparative Analysis Of Lung Sac
Inflation (Kakulapati).- Voice Assistant For Driver Drowsiness Detection
(Gondi).- Prediction Using Sentiment Analysis On Multi Domain Category:
Stocks, Politics Using Twitter Repository (Gaviredla).- Hyperparameter
Optimization for Gradient Boosted Tree-Based Machine Learning Models and
Their Effect on Model Performance (Abdulkader).- Medical Data Security with
Blockchain and Artificial Intelligence Using SecNet (Laxmikanth).- A
Regression Analysis of iPhone 11 Pricing Factors (Umesh).- Classification of
Alzheimer's Disease using deep learning methodologies on MR Images (Kumar).-
Taxonomy of Intrusion detection and its effectiveness in Internet of  Things
(Ramakrishna).- Design And Evaluation Of Plant Leaf Disease  Detection Based
On Cnn Classification System (Ramakrishna).- Air Pollution Forecasting using
Deep Learning algorithms: A Review (M S Rao).- Health Care Monitoring System
using Artificial Intelligence for Diabetic Skin Diseases (Godi).- Proposed
framework for a doctor appointment using Chatbot in Tanzania (Chatumba).-
Blockchain-Based Ether Transmission, Which Gives Ledgers Transparency And
Security (Tippana).- Fruit Identification And Classification Using Machine
Learning (Reddy).- Impact of Covid-19  in Society and review of Machine
Learning Algorithm in Diagnosis (Sivaramakrishnan).- Medicinal Leaf
Prediction and Disease Identification using Machine Learning Techniques
(Srinivasa Rao).- Deep Learning Approach For Expression Based Songs
Recommendation System (Shaik).- System Sound Control Using Gesticulations
(Uzair).- Modified Holographic Ricci Dark Energy Cosmological Model in 
Modified theory of Gravity (Satyanarayana).- Web Application for detecting
churn prediction in Banking using ANN (Kharat).- Providing Security
Properties Of Cloud Service Using Rest Apis (Laxmikanth).- Study and
Research on Autism Spectrum Disorder using Supervised Machine Learning
Techniques (Nekkanti).- Semi-Automated Vehicle  Controlled Using Wi-Fi
(Dhanush).- Disease Identification System for Aura Images Using Fruit Fly
Optimization (FAO) Technique (Poojary).- Hybrid Movie Recommendation System
Based on User Preferences and Item Similarity (Bugatha).- Comparison of
Artificial Intelligentsystems for real time accident prone applications
(Rao).- Hand Talk Assistance With Tensorflow Single Shot Detector
(Priyanka).- A New Text Representation Technique based Approach for
Authorship Verification (Reddy).- Early Recognition And Ranking Of Knee
Osteoarthritis By The Assistance Of Enhanced Deep Learning On Knee MR Image
Data (Molleti).- Smart Blind Stick with Wrist band: Obstacle Detection and
Warning System (Ramyadevi).- Crop Recommendation System Using Machine
Learning (Grandhi).- Exploring Public Perception and Opinion Trends on
Agnipath Scheme through Sentiment Analysis and Topic Modeling of Tweets
(Shaik).- A Feature Selection Technique based Approach for Author Profiling
using Word Embedding Techniques (Kavuri).- Pothole Detection Using IOT To
Help People (Bada).- Machine Learning enhanced Diabetes Identification System
(Adimalla).- Diabetes Identification System using Machine Learning
(Sambana).- Identification & Analysis of neural disorders based on
hyperactivityand spectrum disorder with functional-MRI (Bala).- Review
Analysis Using Web Scraping in Python (Roy).- A Novel Approach Of Deep Neural
Network Performance  Analysis For Predicting Chronic Kidney Disease
(Ramakrishna).- A Stroke Complication Neural Network Model to Predict the
Severity of Brain Stroke Using Family History (Bandi).- Automating Curriculum
Vitae Recommendation Processes through Machine Learning (Laxikanth).-
Application Controlling Using Hand Gestures Through Yolov5s (Chadram).- Chili
Leaves Disease Identification using Artificial Neural Network Algorithms
(kantharaju).