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Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023).. Volume 2,. Deep learning and large language models

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023)./ edited by Kun Ma, Ajith Abraham, Anu Bajaj.
remainder title:	SoCPaR 2023
other author:	Ma, Kun.
corporate name:	International Conference on Soft Computing and Pattern Recognition
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xviii, 549 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	A Hybrid Lightweight Deep Learning Model For Edge Devices: Combining Knowledge Distillation, Pruning, and Quantization -- Exploring the Effects of Weight Initialization Methods Combined with Different Activation Functions in Feedforward Neural Networks -- Enhancing Concealment in 3D Mesh Models using Chaotic based Steganography Algorithm with Minimal Perceptual Distortion -- Improving data delivery and energy efficiency in MANETs: a stacking based SVM approach for multipath -- Optimizing CNN Architecture for Quality Control of Corneal Confocal Microscopy Images Using a Genetic Algorithm.
Contained By:	Springer Nature eBook
Subject:	Soft computing - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-81083-1
ISBN:	9783031810831

Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023).. Volume 2,. Deep learning and large language models
Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023).Volume 2,Deep learning and large language models[electronic resource] /SoCPaR 2023edited by Kun Ma, Ajith Abraham, Anu Bajaj. - Cham :Springer Nature Switzerland :2025. - xviii, 549 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in networks and systems,12452367-3389 ;. - Lecture notes in networks and systems ;1245..

A Hybrid Lightweight Deep Learning Model For Edge Devices: Combining Knowledge Distillation, Pruning, and Quantization -- Exploring the Effects of Weight Initialization Methods Combined with Different Activation Functions in Feedforward Neural Networks -- Enhancing Concealment in 3D Mesh Models using Chaotic based Steganography Algorithm with Minimal Perceptual Distortion -- Improving data delivery and energy efficiency in MANETs: a stacking based SVM approach for multipath -- Optimizing CNN Architecture for Quality Control of Corneal Confocal Microscopy Images Using a Genetic Algorithm.

This book presents 55 selected papers focused on Deep Learning and Large Language Models from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) and 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2023). SoCPaR - NaBIC 2023 was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The conference had contributions by authors from 39 countries. This Volume offers a valuable reference guide for all scientists, academicians, researchers, students and practitioners focused on advanced machine learning including deep learning methods, large language models and its real-world applications.

ISBN: 9783031810831

Standard No.: 10.1007/978-3-031-81083-1doiSubjects--Topical Terms:

606821
Soft computing
--Congresses.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023).. Volume 2,. Deep learning and large language models
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505 0 $a A Hybrid Lightweight Deep Learning Model For Edge Devices: Combining Knowledge Distillation, Pruning, and Quantization -- Exploring the Effects of Weight Initialization Methods Combined with Different Activation Functions in Feedforward Neural Networks -- Enhancing Concealment in 3D Mesh Models using Chaotic based Steganography Algorithm with Minimal Perceptual Distortion -- Improving data delivery and energy efficiency in MANETs: a stacking based SVM approach for multipath -- Optimizing CNN Architecture for Quality Control of Corneal Confocal Microscopy Images Using a Genetic Algorithm.
520 $a This book presents 55 selected papers focused on Deep Learning and Large Language Models from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) and 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2023). SoCPaR - NaBIC 2023 was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The conference had contributions by authors from 39 countries. This Volume offers a valuable reference guide for all scientists, academicians, researchers, students and practitioners focused on advanced machine learning including deep learning methods, large language models and its real-world applications.
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