
Teil der Reihe: Springer Nature Proceedings excluding Computer Science
Proceedings of the Third Congress on Control, Robotics, and Mechatronics
Inhaltsangabe
MVP A Mapping Video and Pathfinding System.- Real Time Low Cost Sewage Gas Detection and Alerting System using Arduino ESP and Telegram Bot Integration.- Patient Care Automation A Line Following Robot for Efficient Medicine Delivery.- Sustainable Adoption and Continued Use of Voice Based AI Examining the Environmental Impact through the Lens of the Technology Acceptance Model.- Optimized Vehicular Energy Network Energy Path Design and Power Loss Minimization for Smart Cities.- Adaptive Reading Therapy using Deep Reinforcement Learning Models.-IoT Based Real Time Fire Detection and Auto Shutoff System.- Kidney Condition Classification using Deep Learning and KNN.- Smart Health Tracker with GPS and Emergency Alert with Predictive Analysis.- WINIPL Winning Insights and Predictions for IPL Matches Using Machine Learning.- IoT Enabled Wearable System for Real Time ECG Monitoring with Machine Learning Based Heart Disease Detection.- Smart Farming Methods using IOT and Machine Learning to Protect Agricultural Crops from Wild Animals.- Computer Aided Design and Experimental Manu facturing of Complex Technological Machines for Agricultural Purposes.- Enhancing Factual Consistency in Large Language Models An Integrative Paradigm of Grounding and Self Prompting Methods for Hallucination Minimization.- Parallel Pancake Sorting using MPI and CUDA.- Enhancing Fashion Product Recommendations through CNN Based Ensemble Learning.- A Software Centric Approach to Heart Disease Monitor ing and Early Detection.- A study on Prognostic Condition of Plant Contagions in Grape and Tomato Leaves using EfficientNet.- Effective Methods for Predicting the Compressive Strength of UltraHighPerformance FiberReinforced Concrete.- Detection of Faults by Optimization Driven Methodology A Comprehensive Study on the Heath of Bearings.- Bi Objective based Secretary Bird Optimization Algorithm for Protein Multiple Sequence Alignment.- Modelling and Analysis of a Two Phalange Robotic Manipulator for Dexterous Grasping.- ML Driven Inclusive Education for Children with Disabilities.- Local Spatial Swarm Guided Evolutionary Algorithm and Bayesian Optimized Deep Learning for Disease Prediction using Multi omics.- PM25 Prediction Models A Systematic and Comparative Review.- Real Time Accident Detection and Alert System Using Accelerometer and GPS Module.- Investigation of Electrochemical Assisted Spark Machining of Margining Steel and Optimization of Process Parameters.- Empirical Analysis of Mechanical Properties and Residual Stress in Friction StirWelded 6061T6 and 6063T6 Aluminum Alloys.- Revolutionizing Plant Leaf Disease Classification using Convolutional Neural Networks.- Hybrid Approach to Digital Image Watermarking.- Post Quantum Secure LatticeBased Byzantine FaultTolerant Aggregate Signatures for Truck Platooning Networking System.- Security Challenges in 5G Networks Intrusion Detection and Prevention.- Speechtotext Conversion using Seq2seq Models.- Optimizing Breast Cancer Detection using Ensemble Method with Histopathological Images.- Speech Driven Cleft Palate Severity Classification using Deep Learning.- Enhanced Weed Detection for Cotton Crop using YOLO11 and Soft NMS.- Network Slicing in 5G and next Generation Networks with Energy Aware Allocation for HighMobility Scenarios.- Enhancing Fast Charging of Lithium-Ion Batteries in Electric Vehicles A Comparative Analysis of Cathode and Electrolyte Materials.- Aging Effects and Performance Analysis of Natural Fiber Reinforced Composites.
Produktdetails
- Erscheinungsdatum: 09.02.2026
- Autor/Autorin: Pradeep Kumar Jha
- Reihe: Lecture Notes in Networks and Systems
- Format: E-Book
- Dateiformat: PDF
- Kopierschutz: Wasserzeichen
- Dateigröße: 32.3 MB
- Verlag: SPRINGER
- Sprache: Englisch
- Umfang: 483 Seiten
- ISBN: 9789819697717
- Lieferung: Sofort per Download
- Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
- Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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