{"product_id":"artificial-intelligence-based-smart-secured-applications-9783031862953","title":"Artificial Intelligence based Smart  Secured Applications","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Artificial Intelligence \u0026amp; Machine Learning.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Performance Evaluation of Machine Learning Algorithms for DDoS Attack Detection: A                           Comparative Study.\u003c\/p\u003e\u003cp\u003e.- GeoVigilance Labs: An AI-Enabled System for Automated Land Use Monitoring.\u003c\/p\u003e\u003cp\u003e.- Underwater Image Classification with Sloth-Enhanced Contrast Limited Adaptive Histogram Equalization (S-CLAHE) and Deep Learning Algorithms.\u003c\/p\u003e\u003cp\u003e.- A Review of Deep-Learning-Based Models for Afaan Oromo Fake News Detection on Social Media Networks.\u003c\/p\u003e\u003cp\u003e.- Integrating AI and Block chain for Enhanced Food Traceability and Safety in Restaurants: A Transformative Approach.\u003c\/p\u003e\u003cp\u003e.- PIRNet:Two-step Deep Neural Network for Segmentation of Brain MRI with Efficient Loss Functions.\u003c\/p\u003e\u003cp\u003e.- Neural Networks Approach for Liver Cancer Classification.\u003c\/p\u003e\u003cp\u003e.- Optimizing Tomato Leaf Disease Identification Using a Hybrid Spatial-Temporal Model and Attention Mechanism.\u003c\/p\u003e\u003cp\u003e.- Machine Learning Strategies for Proactive Malware Detection.\u003c\/p\u003e\u003cp\u003e.- Generative AI tool in learning an Introductory Programming: A Research  Perspective.\u003c\/p\u003e\u003cp\u003e.- Evaluating the effectiveness of machine learning algorithms in predicting plant diseases:A comparative analysis.\u003c\/p\u003e\u003cp\u003e.- FLEATM:fuzzy Logic – Based energy-Aware Trust Based Routing In MANETS.\u003c\/p\u003e\u003cp\u003e.- Smart Road Sensing: A Machine Learning Approach for Pothole Detection and Classification.\u003c\/p\u003e\u003cp\u003e.- From Threads to Algorithms: AI Innovations in Textile Production.\u003c\/p\u003e\u003cp\u003e.- Robust Dataset of Digital Handwritten Devanagari Script.\u003c\/p\u003e\u003cp\u003e.- Racism detecting in Twitter comments using metaheuristics optimized text mining and classification.\u003c\/p\u003e\u003cp\u003e.- Lower Limb Prosthetics Activity Recognition using Optimized CNN-LSTM Model.\u003c\/p\u003e\u003cp\u003e.- A Hybrid Approach to Cardiovascular Disease Detection: The Synergy of YOLOv9, CapsNet, and XGBoost.\u003c\/p\u003e\u003cp\u003e.- Event detection and analysis from social media data using N-gram and Distil-BERT model.\u003c\/p\u003e\u003cp\u003e.- Predictive Modeling of Genetic Diseases: A Comparison of Various Machine Learning Approaches.\u003c\/p\u003e\u003cp\u003e.- Extracting the Pneumonia Signature: A Deep Learning Framework for Definitive Diagnosis.\u003c\/p\u003e\u003cp\u003e.- Leveraging Cloud Resources for Machine Learning-Based Spam Detection API.\u003c\/p\u003e\u003cp\u003e.- From Pen to Pixel: Understanding Learning Shifts with Student Insights in E-Education.\u003c\/p\u003e\u003cp\u003e.- Navigating the Path: Exploring Career Choice Dynamics Among Secondary and Higher Secondary School Students.\u003c\/p\u003e\u003cp\u003e.- Harassment Detection in Online Discourse Using Modified Metaheuristic Natural.\u003c\/p\u003e\u003cp\u003e.- Analyzing Extractive Summarization methods for Kannada using Sentence Ranking and K-Means Algorithm.\u003c\/p\u003e\u003cp\u003e.- Real-Time Facial Emotion Recognition Through Neural Networks.\u003c\/p\u003e\u003cp\u003e.- Deepfake Detection using ResNet50: Performance Analysis on Celeb-DF Dataset.\u003c\/p\u003e\u003cp\u003e.- Performance of Linear and Polynomial Kernels of SVM towards Kidney Cyst Detection.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195457397079,"sku":"9783031862953","price":74.5,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/artificial-intelligence-based-smart-secured-applications-9783031862953","provider":"Book Curl","version":"1.0","type":"link"}