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Produktbild: Advanced Transportation Systems in the Field of Engineering and Technology
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Advanced Transportation Systems in the Field of Engineering and Technology Volume 1

Fr. 362.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

14.09.2026

Herausgeber

Abraham Melkie Tedesse + weitere

Verlag

Taylor & Francis

Seitenzahl

600

Maße (L/B)

28/21 cm

Gewicht

453 g

Sprache

Englisch

ISBN

978-1-03-298369-1

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

14.09.2026

Herausgeber

Verlag

Taylor & Francis

Seitenzahl

600

Maße (L/B)

28/21 cm

Gewicht

453 g

Sprache

Englisch

ISBN

978-1-03-298369-1

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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  • Produktbild: Advanced Transportation Systems in the Field of Engineering and Technology

  • Artificial Intelligence and Machine Learning A fine grained and light weight data access control model for mobile cloud computing; A Predictive analytics approach for pregnant women's health monitoring using machine learning; A Real-Time Driver Drowsiness Detection System using Eye Aspect Ratio and machine learning; Advancements in 3D spatial intelligence for AI systems; Adversarial Machine Learning for cybersecurity threat detection; AI-Based heart disease progression predictor; AI-driven data integration for mapping and managing habitable environments; AI assistants in computer science education: Instructor perspectives; AI-based real time traffic management system using adaptive traffic light system; AI-controlled water valve based on root zone moisture; AI-driven chicken health monitoring and temperature control; AI for climate change and environmental modeling; AI-based battery thermal monitoring and anomaly detection for electric vehicles; AI-based predictive maintenance in industrial systems; AI-driven cyber risk assessment and insurance models; AI-enhanced personalized learning systems in education; AI-powered cyber attack detection in Industrial IoT using Deep Belief Networks and Convolutional Neural Networks; AI-powered threat detection systems in cybersecurity; Artificial intelligence-based chat bot for patient health care; Autonomous system to enhance urban cleanliness using AI and machine learning; Blockchain technology for supply chain transparency; Blockchain-based secure data sharing in healthcare; Blockchain-based secure voting systems; Brain tumor segmentation and classification on 3D images using deep learning approach; Brain-inspired computing for enhanced human-computer interaction; Brain-inspired computing: Enhancing human-computer interaction; CAD-LC: Deep learning framework using vision transformers and clinical data for lung cancer detection; Convolutional neural network approach for oil spill detection in SAR images; Deep learning for object detection in medical imaging; Deep learning techniques for medical image analysis; Deep learning-driven MRI analysis for accurate Alzheimer's disease detection; Deep learning-driven seizure prediction using convolutional; Deep neural network optimization for audio and image analysis; Design and development of IoT-enabled AI smart system for roof gardening; Design and testing the prediction of vehicle crash using hybrid ensemble machine learning algorithm; Detecting online payment fraud with machine learning; Developing an intelligent framework for maternal diabetes prediction via machine learning model; Efficient Lightweight Integrated Blockchain (ELIB) for IoT security and privacy; Emotion recognition systems using machine learning; Enhancing AI reasoning through modular architectures; Enhancing CKD diagnosis with machine learning: A predictive approach; Environmental monitoring system empowering users to enhance air quality using smart sensing; Ethical AI and algorithmic fairness in decision-making systems; Evaluating AI models: Towards improved measurement science; Explainable AI: Bridging the gap between models and interpretability; Exploring the role of AI assistants in computer science education; Human-centered responsible AI: Trends and future directions; Innovative approaches to food fusion using AI and machine learning; Investigation of vision transformer algorithm in classification of brain tumor using deep learning; Item enhanced diversification in recommendation systems using graph neural networks; Leveraging smart trolleys and AI for streamlined shopping and intelligent billing; Location-aware retail inventory and product discovery system; Machine learning-based chatbot for bus scheduling in unfamiliar routes; Natural language programming with AI-based no-code platforms; Optimization enabled deep learning technique for lung disease detection and classification; Optimized deep neural network model for analysis and classification of bone marrow biopsies; Optimized machine learning approach for early disease diagnosis: Enhancing precision and healthcare outcomes; Personalised learning path recommendation system using AI and collaborative filtering; Prediction of chronic renal disease using chi-squared relevance vector machine learning classification; Privacy-preserving decentralized identity management on blockchain; Quantum machine learning frameworks for data analysis; Quantum machine learning: Accelerating data processing and pattern recognition; Redefining computer science education with AI-based no-code platforms; Reinforcement-based smart irrigation system; Rice varieties classification using deep learning: A comprehensive analysis; Sales forecasting for optimized supply chain management; Scalable and energy-efficient blockchain systems; Secure authentication and key generation using device ID and blockchain-inspired cryptographic techniques; Smart solar-powered seed sprayer for sustainable framing; StrokeSage deep learning-powered CT stroke classification for clinical insight; The object detection using artificial intelligence; Wellnessworks: An AI-based reward system for employee health and productivity; Cybersecurity and Quantum Technologies Decentralized finance (DeFi) platforms: Security and scalability; Google's willow: A leap in quantum computing capabilities; Post-quantum cryptography: Preparing for the quantum era; Quantum algorithms for optimization problems in logistics; Quantum computing breakthroughs and renewed investments; Quantum computing simulations for complex system modeling; Quantum computing: Revolutionizing drug discovery and battery development; Quantum cryptography: Enhancing data security in communication networks; Quantum-inspired chaotic image encryption (QICIE) for securing IoT-based surveillance systems; Understanding quantum computing: Principles and applications; Zero trust security models in cloud computing environments; Zero-knowledge proofs: Enhancing data privacy; Healthcare and Biomedical Applications 3D MRI image segmentation using ensemble models; Advanced unmanned aerial vehicle (UAV) with lora communication for combat and tactical warfare; AgroDiagnosis: Plant disease detection and treatment advisor; Automatic testing and inspection system for cable integrity and performance; Crop scarcity risk prediction using LSTM; Efficient real-time object detection with YOLO: Innovations and future directions; Enhancing deepfake detection through hybrid mobilenet: LSTM model with real time image and video analysis; Farm tractor: A mobile application for efficient tractor service management in rural agriculture; Federated learning in healthcare: Collaborative research without data compromise; FieldPlant disease detection and classification using YOLOv8; Gas leakage detection for home and industrial safety; Grasserie disease detection in sericulture using Deeplabv3+ and Resnet-18; Home-based wearable technologies in healthcare and voice assist for stroke patients; Human-Computer Interaction (HCI) in augmented reality environments; Impact of Decentralized Autonomous Organizations (DAO) on society 5.0; Landslide and flood-detection and emergency notification system; Natural language processing for human-computer interaction; Real-time analysis of student engagement in co-curricular and extracurricular activities by proctors; Transfer learning for low-shot object recognition in remote sensing; Underwater acoustic signal denoising using Double Tunable Q-Factor Wavelet Transform (DTQWT); Voice-activated assistants for accessibility in computing; IoT and Smart Systems A multi-camera monitoring system to measuring chicken activity; A real-time road surface monitoring system using mobile sensors and image processing for urban safety; A Smart ADAS system for hazard mitigation and road safety enhancement; Adaptive resource allocation for IoT devices; Agrifreshnet: A smart agriculture E-Marketplace for direct farmer to consumer vegetable trade; Big data analytics in industrial IoT environments; Design and development of personal safety monitoring system for palm plantation workers; Design and development of smart IoT-based health monitoring system for elderly; Edge computing for enhanced web application performance; Edge-cloud collaboration for low latency mobile applications; Feasible IoT device to monitor ECG and PPG signal; Federated edge learning for intelligent IoT systems; Fog computing for real-time IoT analytics; Fog computing models for low-latency data processing; Fuzzy logic-based cluster head selection for wireless sensor networks; Implementing IoT to detect and manage drought in agricultural fields; IoT-based electricity energy monitoring meter; IoT-based energy management in smart grid; IoT-based load control in smart home via mobile app; IoT-based smart water controller for apartment; IoT-based tyre monitoring system; IoT-based smart agriculture systems for precision farming; IoT-Enabled system for smart car parking management; MediBot-IoT-driven healthcare for remote communities; Prescription dispense using smart contracts in Saudi Arabia; Real-time video analytics at the edge; Secure and reliable IoT-based smart grid systems; Smart battery management system for efficient monitoring and performance enhancement; Smart contracts for automated legal agreements; Smart home automation: A comprehensive guide to using blynk for enhanced control and connectivity; Updating point cloud layer of High Definition (Hd) map based on crowdsourcing of multiple vehicles installed lidar; Special Topics Adaptive user interfaces based on real-time user feedback; Advancements in psychophysiological user modeling for real-time adaptable systems; Asset tracking in warehouse using Blu-Fi gateway; Augmented Reality (AR) applications in educational simulations; Biglip: A pipeline for building data sets for lip-reading; Design and deployment of a long-range UAV communication system for battlefield applications; Develop a portal for alumni of college; Enhancing SAP spare parts and materials management through Component-Based Test Automation (CBTA); Fast router in convergent LTE networks using software defined networks based Dynamic Path Optimization Algorithm (DPOA) and Load-Aware Routing Algorithm (LARA); Generative Adversarial Networks (GANs) for image synthesis; Generative models for image synthesis and editing; HRM IN IT: A PHP-based solution for streamlined human resource management; Movie zone reservation system; Multi-control robot vehicle using arduino; Online car rental portal; Optimized decision making for efficient journeys; Optimized single precision floating point multiplier for area and delay efficiency; Optimizing surgery scheduling with a relational database and automated notification; Stablecoins: Financial inclusion and price stability; Vehicle to vehicle communication using image processing and RF technology; Virtual Reality (VR) systems for remote collaboration