Fourth International Conference on Image Processing and Capsule Networks ICIPCN 2023 /

Bibliografiska uppgifter
Institutionell upphovsman: SpringerLink (Online service)
Övriga upphovsmän: Shakya, Subarna (Utgivare, redaktör, sammanställare), Tavares, João Manuel R. S. (Utgivare, redaktör, sammanställare), Fernández-Caballero, Antonio (Utgivare, redaktör, sammanställare), Papakostas, George (Utgivare, redaktör, sammanställare)
Sammanfattning:XXVI, 737 p. 369 illus., 317 illus. in color.
text
Språk:engelska
Publicerad: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Upplaga:1st ed. 2023.
Serie:Lecture Notes in Networks and Systems, 798
Ämnen:
Länkar:https://doi.org/10.1007/978-981-99-7093-3
Materialtyp: Elektronisk Bok
Innehållsförteckning:
  • Modern Challenges & Limitations in Medical Science using Capsule Networks: A Comprehensive Review
  • Studies on movie soundtracks over the last five years
  • Blind Source Separation of EEG Signals using Wavelet and EMD Decomposition
  • Image Extraction Approaches for Density Count Measurement in Obstruction Renography Using Radiotracer 99mTc-DTPA
  • Deep Short-Term Long Memory Technique For Respiratory Lung Disease Prediction
  • Utilizing Satellite Imagery For Flood Monitoring In Urban Regions
  • Optimizing Permutations in Biclustering Algorithms
  • Extracting Graphs from Plant Leaf Venations using Image Processing
  • Multispectral fusion of multi-sensor image data using PCNN for performance evaluation in sensor networks
  • U-Net based segmentation of coronary arteries in invasive coronary angiography
  • Change Detection for Multispectral Remote Sensing Images Using Deep Learning
  • Explainable AI for Black Sigatoka Detection
  • ModifiedU-Net and CRF for image segmentation of crop images
  • Securing Data in the Cloud: The Application of Fuzzy Identity Biometric Encryption for Enhanced Privacy and Authentication
  • Quantum Convolutional Neural Network for Agricultural Mechanization and Plant Disease Detection
  • Innovative Method for Alzheimer's Disease Detection Using Convolutional Neural Networks
  • Segmentation of White Matter Lesions in MRI Images using Optimization-based Deep Neural Network
  • A New Multi-Level Hazy Image and Video Dataset for Benchmark of Dehazing Methods
  • Creative AI using DeepDream
  • Tuberculosis Bacteria Detection Using Deep Learning Techniques
  • An enhanced real-time system for wrong-way and over speed violation detection using deep learning
  • U-Net based Denoising Autoencoder Network for de-speckling in fetal ultrasound images
  • Galo Lexical Tone Recognition Using Machine Learning Approach.