How we learn and why we don't : student survival guide using the cognitive profile inventory /

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Krause, Lois Breur
التنسيق:	كتاب
اللغة:	English
منشور في:	Ohio : Cengage learning, 2008.
الطبعة:	4th ed.
الموضوعات:	Learning. Cognitive learning. Learning ability.
Classic Catalogue:	View this record in Classic Catalogue

مواد مشابهة

Essentials of learning : the new cognitive learning for students of education /
بواسطة: Travers, Robert Morris William, 1913-

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How the special needs brain learns /
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Enjoying What We Don't Have
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Classification of peripheral blood cell images using deep learning
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Learning theories for teachers /
بواسطة: Bigge, Morris L.
منشور في: (1982)

An efficient deep learning approach to detect skin Cancer
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Prostate cancer detection using deep learning neural network with transfer learning approach
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Sentiment analysis on Bangladesh airlines review data using machine learning
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Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
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Child learning, intelligence, and personality : principles of a behavioral interaction approach /
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منشور في: (1971)

A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
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How people learn : brain, mind, experience, and school /
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Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
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An efficient deep learning approach to detect citrus leaves disease
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Enhancing underwater object detection through water artifact removal and using ensemble transfer learning
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Prediction and detection in change of cognitive load for VIP’s by a machine learning approach
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Corn leaf disease detection using deep convolution neural network
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A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
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How the brain learns /
بواسطة: Sousa, David A.
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Deep learning based arrhythmia classification on low-cost and low-compute MCU
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A deep learning approach towards soft biometrics attributes prediction using CNN
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Document template identification and data extraction using machine learning and deep learning approach
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Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
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Bang-lish sentiment classification using deep learning
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DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
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An efficient deep learning approach to detect skin cancer using image data
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RetinalNet-500: a newly developed CNN model for eye disease detection
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E-learning software in the context of Bangladesh : proposal for an interactive model according to bloom's texonomy
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Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
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A secured federated learning system leveraging confidence score to identify retinal disease
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Why Don't American Cities Burn?
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Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
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An interpretable transformer based approach to classify Malaria from blood cell images
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