{"product_id":"eunika-laurent-mercier-computational-intelligence-in-data-science-9783031983559","title":"Computational Intelligence in Data Science","description":".- Computer Vision for Real World Applications.\n\u003cbr\u003e\n.- AI-Enhanced breast cancer diagnosis (BCD) using machine learning models with GA-SA Hybrid.\n\u003cbr\u003e\n.- Efficient Medicinal Plant Leaf Classification Using MobileNet Architecture: A Deep Learning Approach.\n\u003cbr\u003e\n.- SAVER: A Cost-Effective Drone-Based Object Detection and Thermal Mapping System for Enhanced Emergency Response.\n\u003cbr\u003e\n.- Anchors as Building Blocks: A Detailed survey of Scene Graph Decomposition and Captioning.\n\u003cbr\u003e\n.- Signxv8 For Realtime Sign Language Translation.\n\u003cbr\u003e\n.- Advanced Multi-Class Brain Tumor Segmentation Using Deep Learning Architectures.\n\u003cbr\u003e\n.- EduVid: Transforming Educational Text into Engaging Videos.\n\u003cbr\u003e\n.- Optimizing the Hyperparameters for Classification of Lung Diseases from Chest X-ray Images.\n\u003cbr\u003e\n.- ResUNet-AttnASPP – A novel ResUNet architecture with Atrous Spatial Pyramid Pooling (ASPP) and attention gates for efficient brain tumor segmentation.\n\u003cbr\u003e\n.- Leveraging Convolutional Neural Networks for Gait Recognition and Individual Identification for improved neurological care.\n\u003cbr\u003e\n.- Deep Learning for Enhanced Delineation and Classification in Brain MRI Images.\n\u003cbr\u003e\n.- EfficientNetB1-Based Model for Brain Tumor Classification in MRI.\n\u003cbr\u003e\n.- FoodWise: Diabetes-Friendly Nutrition Guide for Traditional Indian Dishes.\n\u003cbr\u003e\n.- The Amphibian and Reptiles Classification from Camera Trap Images Using Deep Learning.\n\u003cbr\u003e\n.- Deciphering the Intricacies of Pancreatic Malignancy Through Advanced Deep Learning Methodologies.\n\u003cbr\u003e\n.- Beam Light Detection and Intensity Analysis using Computer Vision.\n\u003cbr\u003e\n.- Deep CNN Based Image Classifier for Home CCTV Monitoring System to Detect Intruders.\n\u003cbr\u003e\n.- Optimizing Terrain Classification with Multi-Spectral Imaging Using Machine Learning Models.\n\u003cbr\u003e\n.- Empirical Analysis of Deep Learning Models for Multinational Currency Detection.\n\u003cbr\u003e\n.- Real-Time Sign Language Recognition and Multilingual Translation Using Ensemble Deep Neural Networks and TensorFlow’s MoveNe.\n\u003cbr\u003e\n.- Automated Melanoma Detection using integrated Neural network architectures.\n\u003cbr\u003e\n.- A Hybrid Deep Learning Framework for Image Deblurring and Colorization using CNNs and GANs.\n\u003cbr\u003e\n.- PawsitivelyYours: A Comprehensive Approach to Detect Canine Atopic Dermatitis.\n\u003cbr\u003e\n.- Attention Integrated DenseNet121 based U-Net Model for Efficient Segmentation using LGG Tumor data.\n\u003cbr\u003e\n.- Deep Convolutional Neural Network Model For Predicting Alzheimer’s Disease.\n\u003cbr\u003e\n.- Automatic Comic Converter From Videos.\n\u003cbr\u003e\n.- Efficient Channel Attention Based CNN For Skin Disease Classification.\n\u003cbr\u003e\n.- Satellite Image Analysis Using Convolution Neural Networks For Environmental Monitoring.\n\u003cbr\u003e\n.- Backend Optimization and Face Recognition in Real-Time Surveillance using DeepFace.","brand":"Springer","offers":[{"title":"Default Title","offer_id":53765055152470,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"url":"https:\/\/www.momoxbooks.com\/products\/eunika-laurent-mercier-computational-intelligence-in-data-science-9783031983559","provider":"momoxbooks","version":"1.0","type":"link"}