Home > Computing and Information Technology > Computer science > Artificial intelligence > Machine learning > Advances in Machine Learning and Big Data Analytics I: ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30(441 Springer Proceedings in Mathematics & Statistics)
37%
Advances in Machine Learning and Big Data Analytics I: ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30(441 Springer Proceedings in Mathematics & Statistics)

Advances in Machine Learning and Big Data Analytics I: ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30(441 Springer Proceedings in Mathematics & Statistics)

          
5
4
3
2
1

Available


Premium quality
Premium quality
Bookswagon upholds the quality by delivering untarnished books. Quality, services and satisfaction are everything for us!
Easy Return
Easy return
Not satisfied with this product! Keep it in original condition and packaging to avail easy return policy.
Certified product
Certified product
First impression is the last impression! Address the book’s certification page, ISBN, publisher’s name, copyright page and print quality.
Secure Checkout
Secure checkout
Security at its finest! Login, browse, purchase and pay, every step is safe and secured.
Money back guarantee
Money-back guarantee:
It’s all about customers! For any kind of bad experience with the product, get your actual amount back after returning the product.
On time delivery
On-time delivery
At your doorstep on time! Get this book delivered without any delay.
Quantity:
Add to Wishlist

About the Book

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, that was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the advanced Scientific Technologies, provide a correlation of multidisciplinary areas and become a point of great interest for Data Scientists, systems architects, developers, new researchers and graduate level students. This volume provides cutting-edge research from around the globe on this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers.

Table of Contents:
Preface.- Similarity Analysis of Protein Sequences with a New 3-D Graphical Representation Technique.-  Enhanced Security and Robustness of Data Using Steganography.- A TTIG Based Deep Convolution Combined GAN and CLS for Text to  Image Synthesis.- Smart Agricultural Greenhouse System: A Context-aware Application.- Improving Performance of Plant Disease Detection using YOLOv7 and YOLOv8.- Detection of Congenital Heart Disease from Heart Sounds using 2DCNN-BiLSTM with Attention Mechanism.- Automated Reviewer Assignment Process using Machine Learning Technique.- A Method for Detecting Retinal Micro aneurysms in the Fundus Using CR-SF And RG-TF.- Pilot Super Resolution Network (PSRN) based Mango fruit  Classification.- Performance Evaluation of Quality of Service (QoS) in Modified Ad hoc On-Demand Distance Vector (MAODV) Routing Protocol in Manets.- Minimize the Energy Consumption to Increase the Network Lifetime for Green IoT Environment.- Unveiling Hate Speech: Identifying Toxic Comments Targeting Women in Online Social Media Posts.- Identification of retinal fundus in diabetic patients using deep learning algorithms.- Smart Health Prediction Using Random Forest.- Vulnerability Assessment and Penetration Testing Using Parrot Operating System.- Assessing NSAID Threat Degree of Unfavorable Medical Reactions  Using Machine Learning.- Searchable Encryption for Privacy Preserving with Fine Grained Access Control.- Classification for Disease Gene Association.- Machine Learning-Based Air Pollution Monitoring And Forecasting.- A  Novel parasitic mushroom-like structure with high gain microstrip patch antenna for broadband applications.- Facial Emotion Recognition using Artificial Intelligence.- A Hybrid Machine Intelligence Demographic Feature Selection Approach to Improve Recommendation System in Social Domain.- An Exploratory Review of Machine Learning and Deep Learning Applications in Healthcare Management.- Bone Fracture Prediction using Machine Learning and Deep Learning Techniques.- Plant Disease Detection Using Modern Deep Learning Approach: YOLOv7.- Analysis of the life insurance business performance based on COVID by using machine learning algorithms.- An Ensemble Model of Skin Disease Detection Using CNN and Transfer Learning.- Session Based News Recommendation System.- A Fusion-based Approach for Generating Image Captions.- Comparison of Machine Learning Algorithms for Detection of Stuttering in Speech.- The Evolutionary Impact of Pattern Recognition in Research Applications – A Wide Spectrum Survey.- Prediction of GATE Examination Clearance for Fresh Graduate Candidates: An Advanced Machine Learning Approach.- Foreseeing Worker Attrition Using Machine Learning.- Mouse Controlling Using Eyeball Action.- Power Quality Improvement by Using Shunt Hybrid Active Power Filter.-  Integration of Renewable Energy Systems into utility grid: A review on Power Quality Issues, Mitigating devices and Control Algorithms.- Traffic Control System for Congestion Control and Ambulance Clearance.- QR Based Authentication for Login and Payment.- Smart Irrigation Watering System Using IoT.- IoT Based Transmission Line Multiple Fault Detection and Indication to Electricity Board.- Design Of Off Board Electric Vehicle Charger Using PV Array Through Matlab-Simulink.- Human stress detection in sleep mode compared with non-sleep mode using machine learning algorithms.- Medical Diagnosis Prediction using Deep Learning.- Detecting Hard Landing of Flights: E-Pilots.- Detection of Glaucoma Using MobileNet, XAI and IML.- Attainment Expedients of Markovian Heterogeneous Water Heaters in Queueing Models by Matrix Geometry Method.- Identification Of Medicinal Plants Using Inception V3 Model.- Smart Gardening Using Internet of Things.- Predictive Analytics of Blood Donor Risk Assessment Using Machine Learning Methods.- Risk Analysis of Covid-19 Patients Mortality Rate in Emergency Ward.- Machine Learning Classification Analysis on Leaf Disease Data.- Conversion of Type-2 Intuitionistic Fuzzy Sets into Interval-valued Intuitionistic Fuzzy Sets and its implementation in Decision Making.- A Framework for Secure Database and Similarity Comparison in Android.- A Comprehensive review and a Conceptual framework for predicting the position of the mobile sinks in Wireless sensor networks.- Brain Computer Interface for Multiple Applications Control.- Predicting Student Academic Performance using Machine Learning: A Comparison of Classification Algorithms.- A Novel Approach in Machine Learning for Solar Energy Prediction System.- Real-time Tomato Leaf Disease Detection and Diagnosis using Deep Learning-based Computer Vision Techniques.- Index.


Best Sellers


Product Details
  • ISBN-13: 9783031513374
  • Publisher: Springer International Publishing AG
  • Publisher Imprint: Springer International Publishing AG
  • Height: 235 mm
  • No of Pages: 741
  • Series Title: 441 Springer Proceedings in Mathematics & Statistics
  • Width: 155 mm
  • ISBN-10: 3031513371
  • Publisher Date: 01 Feb 2025
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Sub Title: ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30


Similar Products

How would you rate your experience shopping for books on Bookswagon?

Add Photo
Add Photo

Customer Reviews

REVIEWS           
Click Here To Be The First to Review this Product
Advances in Machine Learning and Big Data Analytics I: ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30(441 Springer Proceedings in Mathematics & Statistics)
Springer International Publishing AG -
Advances in Machine Learning and Big Data Analytics I: ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30(441 Springer Proceedings in Mathematics & Statistics)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Advances in Machine Learning and Big Data Analytics I: ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30(441 Springer Proceedings in Mathematics & Statistics)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book
    Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!
    ASK VIDYA