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Soft Computing and Its Engineering Applications 4th International Conference, icSoftComp 2022, Changa, Anand, India, December 9–10, 2022, Proceedings

Aus der Reihe Communications in Computer and Information Science
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83,99 € UVP 96,29 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

08.03.2023

Abbildungen

XVIII, 478 p. 250 illus., 154 illus. in color.

Herausgeber

Kanubhai K. Patel + weitere

Verlag

Springer

Seitenzahl

478

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

744 g

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-3-031-27608-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

08.03.2023

Abbildungen

XVIII, 478 p. 250 illus., 154 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

478

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

744 g

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-3-031-27608-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Soft Computing and Its Engineering Applications
  • Produktbild: Soft Computing and Its Engineering Applications
  • Theory and methods .- NAARPreC: A Novel Approach for Adaptive Resource Prediction in Cloud.- One True Pairing: Evaluating Effective Language Pairings for Fake News Detection Employing Zero-Shot Cross Lingual Transfer.- FedCLUS: Federated Clustering from Distributed Homogeneous Data.- On Language Clustering: Non-parametric Statistical Approach.- Method Agnostic Model Class Reliance (MAMCR) Explanation of Multiple Machine Learning Models.- Association Rules based Feature Extraction for Deep Learning Classification.- Global Thresholding Technique for Basal Ganglia Segmentation from Positron Emission Tomography Images.- Oversampling Methods to Handle the Class Imbalance Problem: A Review.- Analog Implementation of Neural Network.- Designing Fog Device Network for Digitization of University Campus.- Word Sense Disambiguation from English to Indic language: Approaches and Opportunities.- Explainable AI for Predictive Analytics on Employee Attrition.- Graph Convolutional Neural Networks for Nuclei Segmentation from Histopathology Images.- Performance Analysis of Cache Memory in CPU.- Extraction of Single Chemical Structure from Handwritten Complex Chemical Structure with Junction Point Based Segmentation.- Automatic Mapping of Deciduous and Evergreen Forest by Using Machine Learning and Satellite Imagery.-  Systems and Applications .- RIN: Towards A Semantic Rigorous Interpretable Artificial Immune System for Intrusion Detection.- SVRCI: An Approach for Semantically Driven Video Recommendation Incorporating Collective Intelligence.- Deep Learning based Model for Fundus Retinal Image Classification.- Reliable Network-Packet Binary Classification.- SemKnowNews: A Semantically Inclined Knowledge Driven Approach for Multi-Source Aggregation and Recommendation of News with a focus on Personalization.- Extraction and Analysis of Speech Emotion Features using Hybrid Punjabi Audio Dataset.- Human Activity Recognition in Videos using Deep Learning.- Brain Tumor Classification using VGG-16 and MobileNetV2 Deep Learning Techniques on Magnetic Resonance Images (MRI).- Five-Year Life Expectancy Prediction of Prostate Cancer Patients Using Machine Learning Algorithms.- An Ensemble MultiLabel Classifier for Intra-Cranial Haemorrhage Detection from Large, Heterogeneous and Imbalanced Database.- A Method for Workflow Segmentation and action prediction from video data - AR Content.- Convolutional Neural Network Approach for Iris Segmentation.- Reinforcement Learning Algorithms for Effective Resource Management in Cloud Computing.- Corpus Building for Hate Speech Detection of Gujarati Language.- Intrinsic use of Genetic Optimizer in CNN Towards Efficient Image Classification.- A Software System for Smart Course Planning.- Meetei Mayek Natural Scene Character Recognition using CNN.- Utilization of Data Mining Classification Technique to Predict the Food Security Status of Wheat.-  Hybrid Techniques .- QoS-Aware Service Placement for Fog Integrated Cloud using Modified Neuro-Fuzzy Approach.- Optimizing Public Grievance Detection Accuracy through Hyperparameter Tuning of Random Forest and Hybrid Model.