Advances in Data and Information Sciences

An Automated Early Lung Cancer Detection Using Convolution Neural Network.- DeepLeaf: A Custom CNN Approach for Mulberry Leaf Classification.- Detecting Polycystic Ovary Syndrome Through Blending Ensemble Method.- Verbatym: Empowering Seamless Communication With Authentic Voice Translation.- Facial Emotion Detection using Artificial Intelligence.- Brain Tumor Detection Using MRI and Deep Learning Techniques.- Cyberbullying Trends in Indian Sports - A Sentiment Analysis of Twitter Feeds.- Assistive Live Audio Transcription Glasses For Individuals Suffering Auditory impairment.- Graph-Based Predictive Modeling in Drug Response.- VR Phantom Haven: Phantom Limb Pain Management using Virtual Reality.- Beyond the Surface: Exploring Segmentation Techniques in DL for Early Brain Tumor Detection.- Salary Prediction Using Machine Learning Techniques.- Tax Technology as a Catalyst for Globalization of Companies and Digital Transformation.- Handwritten Signature Verification and Forgery Detection using Deep Learning.- Exploring Methodologies for Computing Sentence Similarity in Natural Language Processing.- Enhancing Real-Time Gesture Recognition Systems for Virtual Reality Applications using Deep Learning Techniques.- Machine Learning for Power Analysis: A New Paradigm in CMOS VLSI Design.- An ensemble-based lexicon dictionary coupled with annotated fine-grained emotions and sentiments.- Design and Implementation of Real Time Environment Tracking System Using Internet of Things (IoT).- Height measurement of pose bent knees by using pose estimation of MediaPipe.- A navigation tracking line algorithm for the mobile robot based on traditional vision.- A Systematic Literature Review on Lung Cancer with Ensemble Learning.- Intelligent Object Detection for Visually Impaired People using YOLO ALGORITHM.- Rash Driving Detection Using IoT and ML.

• Erscheinungsdatum: 26.04.2025
• Autor/Autorin: Shailesh Tiwari
• Reihe: Intelligent Technologies and Robotics
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 18.8 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 500 Seiten
• ISBN: 9789819796199
• 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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