Intelligent Systems Design and Applications

Deep Learning, Volume 2

AvAjith Abraham,Anu Bajaj

Häftad, Engelska, 2024

Del 1047 i serien Lecture Notes in Networks and Systems

2 182 kr

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Beskrivning

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

Utgivningsdatum:2024-07-25
Mått:155 x 235 x 28 mm
Vikt:774 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Networks and Systems
Antal sidor:497
Förlag:Springer International Publishing AG
ISBN:9783031648359

Utforska kategorier

Systemvetenskap och AI inom Data och IT

Innehållsförteckning

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.