Atnaujinkite slapukų nuostatas

El. knyga: Applied Machine Learning and Data Analytics: 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22-23, 2022, Revised Selected Papers

Edited by , Edited by , Edited by , Edited by
Kitos knygos pagal šią temą:
Applied Machine Learning and Data Analytics: 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22-23, 2022, Revised Selected PapersDidesnis paveikslėlis
Kitos knygos pagal šią temą:

DRM apribojimai

  • Kopijuoti:

    neleidžiama

  • Spausdinti:

    neleidžiama

  • El. knygos naudojimas:

    Skaitmeninių teisių valdymas (DRM)
    Leidykla pateikė šią knygą šifruota forma, o tai reiškia, kad norint ją atrakinti ir perskaityti reikia įdiegti nemokamą programinę įrangą. Norint skaityti šią el. knygą, turite susikurti Adobe ID . Daugiau informacijos  čia. El. knygą galima atsisiųsti į 6 įrenginius (vienas vartotojas su tuo pačiu Adobe ID).

    Reikalinga programinė įranga
    Norint skaityti šią el. knygą mobiliajame įrenginyje (telefone ar planšetiniame kompiuteryje), turite įdiegti šią nemokamą programėlę: PocketBook Reader (iOS / Android)

    Norint skaityti šią el. knygą asmeniniame arba „Mac“ kompiuteryje, Jums reikalinga  Adobe Digital Editions “ (tai nemokama programa, specialiai sukurta el. knygoms. Tai nėra tas pats, kas „Adobe Reader“, kurią tikriausiai jau turite savo kompiuteryje.)

    Negalite skaityti šios el. knygos naudodami „Amazon Kindle“.

This book constitutes the refereed proceedings of the 5th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2022, held in Reynosa, Tamaulipas, Mexico, during December 22–23, 2022. 
The 16 full papers and 4 short papers included in this book were carefully reviewed and selected from 89 submissions. They were organized in topical sections as follows: Machine learning, Healthcare and medical imaging informatics; biometrics; forensics; precision agriculture; risk management; robotics and satellite imaging.
Deep Learning Methods to Automate Embryo Classification and
Evaluation.- Univariate feature fitness measures for classification problems:
An empirical assessment.- Securing Advanced Metering Infrastructure using
Blockchain for Effective Energy Trading.- Keratoconus Classification using
Feature Selection and Machine Learning Approach.- Semantic Segmentation of
The Lung to Examine the Effect of COVID-19 using UNET Model.- SMDKGG: A
Socially Aware Meta Data Driven Knowledge Graph Generation for Disaster
Tweets.- Brain MRI Image Classification using Deep Learning.- A Real Time
Face Recognition Attendance using Machine Learning.- Towards abalone
differentiation through machine learning.- Better Qualitative Searching for
Effecting the Performance of Machine Translation.- RU-Net: A Novel Approach
for Gastro-Intestinal Tract Image Segmentation using Convolutional Neural
Network.- A credit card fraud detection model using machine learning methods
with a hybrid of undersampling and oversampling for handling imbalanced
datasets for high scores.-  Implementation of YOLOv7 Model for Pest
Detection.- Online Grocery Shopping: - Key Factors to Understand Shopping
Behavior from Data Analytics Perspective.- A novel approach: Semantic web
enabled subject searching for Union Catalogue.- How People in South America
is Facing Monkeypox Outbreak?.- Multi-level Classification of Satellite
Images using Pre-trained AlexNet Architecture.- Handwriting Recognition for
Predicting Gender and Handedness using Deep Learning.- Handwriting
Recognition for Predicting Gender and Handedness using Deep
Learning.- Performance evaluation of Smart Flower Optimization Algorithm over
Industrial Non-Convex Constrained Optimization Problems.
Daugiau apie elektronines knygas Daugiau apie elektronines knygas
Pastovi nuoroda: https://www.kriso.lt/db/97830313422262e.html
Raktažodžiai: