Del 1047 - Lecture Notes in Networks and Systems

Intelligent Systems Design and Applications

Deep Learning, Volume 2

Häftad, Engelska, 2024

AvAjith Abraham,Anu Bajaj,Thomas Hanne,Tzung-Pei Hong

2 779 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

This book highlights recent research on intelligent systems and nature-inspired computing. The ISDA is a premier conference in the field of artificial intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry.

Produktinformation

Utgivningsdatum2024-07-25
Mått155 x 235 x 28 mm
Vikt774 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Networks and Systems
Antal sidor497
FörlagSpringer International Publishing AG
ISBN9783031648359

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT

Deep Learning Approach for Autonomous Spacecraft Landing.- Deep Learning Approach for Flood Mapping Using Satellite Images Dataset.- Large Language Models for Named Entity Recognition NER of Skills in Job Postings in German.- Machine Learning Approaches for Investing Strategies in Stock Market.- OP FedELM One pass Privacy-preserving Federated Classification via Evolving Clustering Method and Extreme Learning Machine hybrid.- Gamma Corrected Pyramid Pix2pix – Breast Cancer HE to IHC Image Generation.- Unveiling Deepfakes Customized Convolutional Neural Networks for Detection.- The Nasdaq Composite Index Prediction Using LSTM and Bi LSTM Multivariate Deep Learning Approaches.- PlastOcean Detecting Floating Marine Macro Litter FMML using Deep Learning Models.- Data Augmentation Using Generative Neural Networks Based on Fourier Feature Mapping.- Delay Risk Detection in Road Construction Projects Utilizing Large Language Model.- Unlocking The Potential of Novel LSTM in Airline Recommendation Prediction.- Pylung a supporting tool for comparative study of ViT and CNN based models used for lung nodules classification.- Deep Learning model for predicting rice plant disease identification and classification for improving the yield.