Brain-based teaching :) in the digital age / / Marilee Sprenger

• Record Nr.: UNINA9910808206503321
• Autore: Sprenger Marilee <1949->
• Pubbl/distr/stampa: Alexandria, VA, : ASCD, c2010; Alexandria, Va. : , : Association for Supervision and Curriculum Development, , 2010
• ISBN: 1-4166-1245-9; 1-282-52540-9; 9786612525407; 1-4166-1032-4; 1-4166-1034-0; 1-4166-1035-9
• Descrizione fisica: 1 online resource (xiv, 177 pages) : illustrations
• Collana: Gale eBooks
• Disciplina: 370.15/23
• Soggetti: Learning, Psychology of; Brain; Computer-assisted instruction; Classroom environment
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based on print version record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover; Title Page; Copyright; Dedication; Table of Contents; Acknowledgments; Introduction; Part 1: Digital Technology and the Brain; Chapter 1: iPod + iPhone + iVideo +Internet = iBrain; Chapter 2: Recent Research on the Brain: We Need Low Tech, Too; Chapter 3: Do Brain-Based Principles Apply in the Digital Age?; Part 2: Desk Space, MySpace, My Style; Chapter 4: Environments for Learning; Chapter 5: Social Networking Through Teams; Chapter 6: Understanding Learning Styles; Chapter 7: The Digital Native and Intelligence; Part 3: Music, Mind Maps, and Memory; Chapter 8: The Digital Brain and MusicChapter 9: Visual Tools; Chapter 10: Flashbulbs and Flash Drives: Understanding How Memory Works; Part 4: Balancing Digital Desires with Digital Natives' Needs; Chapter 11: The Balancing Act; Chapter 12: The Present and the Future of Learning; Appendix A: How the Brain Works; Appendix B: How Tech ; Savvy Are You?; Appendix C: Glossary of Digital Terms; References; Index; About the Author; Related ASCD Resources
• Sommario/riassunto: The author of How to Teach So Students Remember returns with a look at how teachers can apply brain-based principles in the age of cell phones, MySpace, and podcasts.

Computer Vision and Image Processing : 8th International Conference, CVIP 2023, Jammu, India, November 3–5, 2023, Revised Selected Papers, Part I / / edited by Harkeerat Kaur, Vinit Jakhetiya, Puneet Goyal, Pritee Khanna, Balasubramanian Raman, Sanjeev Kumar

• Record Nr.: UNINA9910869174503321
• Autore: Kaur Harkeerat
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• ISBN: 9783031581816; 3031581814
• Edizione: [1st ed. 2024.]
• Descrizione fisica: 1 online resource (635 pages)
• Collana: Communications in Computer and Information Science, , 1865-0937 ; ; 2009
• Altri autori (Persone): JakhetiyaVinit; GoyalPuneet; KhannaPritee; RamanBalasubramanian; Sanjeev Kumar
• Disciplina: 006
• Soggetti: Image processing - Digital techniques; Computer vision; Computer Imaging, Vision, Pattern Recognition and Graphics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: -- WSD: Wild Selfie Dataset for Face Recognition in Selfie Images. -- PoseWatch: Advancing Real Time Human Pose Tracking and Juxtaposition with Deep Learning. -- Diabetic Retinopathy Detection using Novel Loss Function in Deep Learning. -- A Novel Dual Watermarking for ECG Signals with Improved Payload. -- Near-Infrared Image Colorization using Unsupervised Contrastive Learning. -- ; CoreDeep: Improving Crack Detection Algorithms Using Width Stochasticity. -- A Blockchain and Steganography Based Approach for Storing and Accessing Medical Images. -- Enhanced on-Device Video Summarization using Audio and Visual Features. -- Fractal-Based Approach to Secure Key Generation from Fingerprint and Iris Biometrics. -- Cross View and Cross Walking Gait Recognition Using a Convolutional Neural Network. -- Is Grad-CAM Explainable in Medical Images?. -- Histogram Matching based Data-Augmentation and Its Impact on CNN model for Covid-19 and Pneumonia Detection from Radiology Images. -- DHFormer: A Vision Transformer-Based Attention Module for Image Dehazing. -- Swift Convergence: Federated Learning Enhanced with GMMs for Image Classification. -- Enhancing Video Surveillance with Deep Learning-Based Real-Time Handgun Detection and Tracking. -- YOLORe-IDNet: An Efficient Multi-Camera System for Person-Tracking. -- Robust and Secure dual watermarking for improved protection and preservation of sensitive health-care data. -- A Simplified 3D Ultrasound Freehand Imaging Framework Using 1D Linear Probe and Low-Cost Mechanical Track. -- ExtSwap: Leveraging Extended Latent Mapper for Generating High Quality Face Swapping. -- Dish Detection in Indian Food Platters: A Computational Framework for Diet Management. -- A Deep Learning Approach to Enhance Semantic Segmentation of Bacteria and Pus Cells from Microscopic Urine Smear Images using Synthetic Data. -- Bit Plane Segmentation and LBP-based Coverless Video Steganography for Secure Data Transmission. -- A Deep Face Antispoofing System With Hardware Implementation for Real-time Applications. -- Experimental Evaluation of Needle Tip Prediction using Kalman Filtering Approach. -- Coping with Increased Levels of Label Noise in Facial Expression Recognition. -- Efficient Seizure Prediction from Images of EEG Signals using Convolutional Neural Network. -- Adjust Your Focus: Defocus Deblurring From Dual-Pixel Images Using Explicit Multi-Scale Cross-Correlation. -- A Gradient-based Approach to Interpreting Visual Encoding Models. -- Isolated Sign Language Recognition using Deep Learning. -- Identity Preserved Expressive Talking Faces with Synchrony. -- An Integrated Approach: Combining GrabCut and Contour-Matching for Hand Gesture Segmentation in Indian Sign Language. -- Improved metric space for shape correspondence. -- Reinforcement Algorithm-guided ROI Extraction of Fingerprint Biometric Data. -- Cartilage Segmentation from MRI Images Towards Prediction of Osteoarthritis. -- Image Captioning with Visual Positional Embedding and Bi-Linear Pooling. -- Automated Cricket Commentary Generation For Videos. -- Driver Drowsiness Detection using Vision Transformer. -- ConvMTL: Multi-Task Learning via Self-Supervised Learning for Simultaneous Dense Predictions. -- Payload length and location identification using a novel CNN and re-embedding strategy in stego images created by Content adaptive steganographic algorithms. -- Feature Fusion and Multi-head Attention based Hindi Captioner. -- MCCNet: A Multi-Scale Cross Connection Network for Low-Light Image Enhancement. -- A Novel Framework for Cognitive Load Estimation from Electroencephalogram Signals Utilizing Sparse Representation of Brain Connectivity. -- Automatic Bharatanatyam Dance Video Annotation Tool Using CNN. -- Enhancing Face Emotion Recognition with FACS-Based Synthetic Dataset using Deep Learning Models. -- Fusion of LSTM and RNN for Abnormal Activity Detection From CCTV Camera Feeds. -- Interval Valued Data Representation for Gender Classification of Celebrity Cartoon faces. -- Polyphonic Sound Event Detection using Modified Recurrent Temporal Pyramid Neural Network. -- Egocentric action prediction via knowledge distillation and subject-; action relevance. -- Enhancement of Screening Mammograms using Dual-Tree Complex Wavelet Transform. -- Actor-Centric Spatio-Temporal Feature Extraction for Action Recognition.
• Sommario/riassunto: The three-volume set CCIS 2009, 2010 and 2011 constitutes the refereed post-conference proceedings of the 8th International Conference on Computer Vision and Image Processing, CVIP 2023, held in Jammu, India, during November 3–5, 2023. The 140 revised full papers presented in these proceedings were carefully reviewed and selected from 461 submissions. The papers focus on various important and emerging topics in image processing, computer vision applications, deep learning, and machine learning techniques in the domain.