Signal Processing, Telecommunication & Embedded Systems: AI and ML Applications

Forecasting Energy Production at Solar Substations Using LSTM Networks Optimized by Adaptive Metaheuristics.- Various Power Efficient Adiabatic Logics for Low Power VLSI Circuits.- Optimizing Local Storage by Implementing Hash-Based Deduplication to Reduce File Size and Improve Storage Efficiency.- An Overview of Underwater Optical, Acoustic, and Hybrid Modems: Design Challenges, Recent Developments, and Obstacles in Underwater Communication.- Memory based Parallel FFT Architecture for High Speed Applications.- Evaluating Frequency and Predication Based Word Embedding Models for Natural Language Processing.- Real Time Driver Drowsiness Detection for Safe Driving.- Implementation of SecureNet AdaptShield for Network Security using GNS3.- Deep Learning for Parkinson’s Detection Through DatScan imaging and voice Data.- A Distinctive review of Brushless Doubly Fed Reluctance Machine (BDFRM) based Wind turbine system.- Alzhiemer Disease Detection using MobileNetV2 Integrated with Vision Transformer.- ANN Based Loss Estimation of Power Networks at Different Load Variations.- Multimodal Diagnostics for Wilson’s Disease Bridging Object Detection, Large Language Model and Speech Synthesis.- A Robust Heart Disease Prediction System using SVM Classifier Deep Learning.- Hybrid Machine Learning Model for Fault Detection in Electrical Grids.- Efficient Flood Detection via Deep Ensemble Learning Methods.- Enhanced Crop Classification Using Remote Sensing and Machine Learning Techniques: A Study Leveraging Sentinel-1, Sentinel-2, and Google Earth Engine.- Dual Tuned Absorber and Linear to Cross Polarization Converter using Graphene and Vanadium Dioxide Metasurface.- Predicting Cardiovascular Syndrome Using Machine Learning Techniques: A Comparative Analysis.- Optimizing Traffic Flow in Traffic Signal Controlling System with AI ML.- Detection of Cardiovascular Disease by ECG Images Using LSTM.- DeepMango: Understanding and Analysis of Deep Models in Mango Leaf Disease Detection.- Smart Agriculture: Real-Time Plant Disease Classification with CNN and ResNet.- Enhanced CNN Model Techniques for Classification of Brain Tumor and Approaches.- A Hybrid Algorithm to Predict Parkinson's Disease Using Freezing of Gait.- Quantum Enhanced Vickrey Clarke Groves Auction for Optimal Resource Allocation in Mobile Adhoc Networks.- The Role of Artificial Intelligence in Modernizing Arbitration: Opportunities and Challenges.- Chronic Kidney Disease Prediction: A Study of Encrypted Datasets.- VisionGrip: Revolutionizing Motor Functionality in Carpal Tunnel Syndrome and Radial Nerve Palsy Patients Through EOG-Controlled Robotic Claw.- Advancing Underwater Trash Detection: A Hybrid Approach with ESRGAN and YOLOv11.- Reinforcement learning-based traffic signal control.- Lora-IoT based efficient data prediction model for agricultural applications using Deep Maxout Neural Network.- Machine Learning for Optical Network: A Survey.- Adoption Strategies and Perceptions of Data Mining Techniques Among Data Scientists: An Exploratory Study.- Assessing Public Awareness and Vulnerability to Crypto currency Scams: A Qualitative Study.- Diabetes prediction using IoT and Bagging Classifier.- Skin Disease Detection Using Resnet-50 and Machine Learning Based Enhanced Random Forest Approach.- IoT-Enhanced Predictive Models for Brain Stroke Care using Machine Learning.- Pick and Place Robotic Vehicle with Arm.- A Machine Learning Approach for Early Detection of Diabetes.- Deep learning-based hand gesture classification via sequential and ensemble EMG denoising: Devising a potential pathway for BCI-fostered motor rehabilitation system.- Comprehensive Insights into Deep Learning Techniques for Biomedical Image Processing.- Sales Prediction for Solving Food Wastage with Machine Learning Algorithms on French Bakery Shop.- A Comparative Study of Deep Learning Models for Breast Cancer Diagnosis.- Fortifying Cloud Security: A Reliable Multi-Level Encryption Framework for Safeguarding Data.- Fuzzy Logic-Based Recruitment for Software Engineering Domain: A Modified Mamdani Model.- Enhancing Efficiency and Economic Impact of Public Transportation in Malaysia through Ubiquitous Computing Integration.- Enhancing Life Quality for People Who Stutter through an AI-Driven Interactive Website - Assistance for People Who Stutter (AFPWS).- Integrating Cloud-based Crowdsourcing and Interactive Learning for Enhanced Code Smell Identification and Resolution.

• Erscheinungsdatum: 01.11.2025
• Autor/Autorin: Vikrant Bhateja
• Reihe: Engineering (R0)
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 36.1 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 500 Seiten
• ISBN: 9789819672493
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.