{"product_id":"brajendra-sengar-singh-computer-vision-pattern-recognition-image-processing-and-graphics-9783032085078","title":"Computer Vision, Pattern Recognition, Image Processing, and Graphics","description":".- Facial Action Unit Analysis for Indian Classical Dance Forms: A Micro-Emotion Sequencing Framework Approach.\n\u003cbr\u003e\n.- Semi-Supervised Approach for Disease Severity.\n\u003cbr\u003e\n.- A Vision-Guided Autonomous Weeding Robot using Image-Based Weed Classification for Sustainable Agriculture.\n\u003cbr\u003e\n.- Towards Realistic Synthetic Palmprint Data: A Smartphone Video Dataset with Diverse Variations.\n\u003cbr\u003e\n.- HybridMorph: Towards usage of synthetic with real data for medical MR images registration.\n\u003cbr\u003e\n.- Glaucoma Detection in Retinal Images via Attention-Based Hybrid Deep Model with Fibonacci-Inspired Ring Features.\n\u003cbr\u003e\n.- A comparative analysis of deep learning models for crop price forecasting.\n\u003cbr\u003e\n.- Whirling Triangle-Based Geometric and Texture Feature Extraction with Attention-Driven Hybrid Models for Multiclass Osteoporosis Classification from Knee X-rays.\n\u003cbr\u003e\n.- Leveraging DeepLabV3+ with Explainable AI for Brain Tumor Segmentation in 2D MRI.\n\u003cbr\u003e\n.- Impact of Age and Gender on the Accuracy of Computational Model-Based Heart Disease Prediction.\n\u003cbr\u003e\n.- SAPxAI: Deep Features with Explainable Artificial Intelligence Techniques for Prediction of Saffron Adulteration.\n\u003cbr\u003e\n.- A Secure Collaborative Approach for Autism Spectrum Disorder Detection Using Decentralized Deep Learning.\n\u003cbr\u003e\n.- Precision Soil Monitoring via UAV-Captured RGB Imaging and Spectral Band Regression Using Deep Learning.\n\u003cbr\u003e\n.- Emotion Recognition with EEG Signals using Transformer-based Trainable Adjacency Matrix and Graph Convolutional Network.\n\u003cbr\u003e\n.- A Review on AI-Based Cognitive Systems for Digital Wellbeing.\n\u003cbr\u003e\n.- AI-Driven Dermatology: Enhancing Melanoma Detection with XAI and Deep Learning.\n\u003cbr\u003e\n.- Explainable Skin cancer Detection via Hybrid CNN and Adaptive Post-Hoc Explanations.\n\u003cbr\u003e\n.- Vegetation region localization for plant in field having specular reflection.\n\u003cbr\u003e\n.- Quantifying Plant Structural Complexity Using an Image-Based Structural Complexity Index (SCI).\n\u003cbr\u003e\n.- Enhancing UPI Transactions Fraud Detection with Machine Learning and Biometric Authentication.\n\u003cbr\u003e\n.- Detect Before Decay: Early Diagnosis of Dental Caries via Intraoral Scans.\n\u003cbr\u003e\n.- An Explainable Deep Learning Framework for Banana Leaf Disease Detection and Analysis.\n\u003cbr\u003e\n.- Explainability-Driven Multimodal Glioma Segmentation Using a Hybrid CNN-Transformer Architecture and IoU-Based Attribution Analysis.\n\u003cbr\u003e\n.- Graph-Based Classification of Lung Cancer Histopathology Using SimCLR Feature Extraction and Graph Attention Networks.\n\u003cbr\u003e\n.- Deep Liveness: Face Liveness Detection Using a Lightweight U-Net-Based Deep Architecture.\n\u003cbr\u003e\n.- Enhancing Latent Fingerprint Quality Assessment Using a Deep Learning Pipeline.\n\u003cbr\u003e\n.- A Proximal Approach to Image Deconvolution under Mixed Poisson-Gaussian Noise.\n\u003cbr\u003e\n.- Adversarial Representation Learning for Presentation Attack Detection on Face Recognition Systems.\n\u003cbr\u003e\n.- A Classifier for Spinal Tumors using Novel Data Augmentation.\n\u003cbr\u003e\n.- Brain Tumor Extraction using Adaptive Non convex and Superpixel Motion Detection.\n\u003cbr\u003e\n.- SRSegFormer: Joint Super-Resolution and Segmentation Framework for Fine-Scale Root Phenotyping.\n\u003cbr\u003e\n.- Robust Spatial Enhancement of ASL-MRI based on 3DFSRCNN Framework.\n\u003cbr\u003e\n.- Sign Language Translation Using Multi-Modal Transformer Network.\n\u003cbr\u003e\n.- Sensei: Assistive Real-Time Perception for Visually Impaired Users with Depth-Aware Object and Face Recognition.\n\u003cbr\u003e\n.- Stacked Ensemble Learning for Global Crop Yield Prediction: A Comparative Study of Machine Learning Techniques.\n\u003cbr\u003e\n.- Protein Methylation Site Prediction based on spatial feature of Amino Acids using SMOTE and Stratified Cross-Validation.","brand":"Springer","offers":[{"title":"Default Title","offer_id":53822965023062,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0925\/5829\/5382\/files\/product_image_9783032085078_1_445636b5-36ab-48fb-b7f6-34bf6faca9c0.jpg?v=1790963997","url":"https:\/\/www.momoxbooks.com\/products\/brajendra-sengar-singh-computer-vision-pattern-recognition-image-processing-and-graphics-9783032085078","provider":"momox","version":"1.0","type":"link"}