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

Xehetasun bibliografikoak
Egile nagusia:	Krause, Lois Breur
Formatua:	Liburua
Hizkuntza:	English
Argitaratua:	Ohio : Cengage learning, 2008.
Edizioa:	4th ed.
Gaiak:	Learning. Cognitive learning. Learning ability.
Classic Catalogue:	View this record in Classic Catalogue

Antzeko izenburuak

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

How the special needs brain learns /
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How the special needs brain learns /
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Enjoying What We Don't Have
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Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
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Yoga posture recognition using the deep learning process
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What every teacher should know about learning, memory, and the brain /
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Classification of peripheral blood cell images using deep learning
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Learning theories for teachers /
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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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Classifying insect pests from image data using deep learning
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Sentiment analysis on Bangladesh airlines review data using machine learning
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A modern technique to detect potholes by Computer Vision and Deep Learning
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Damaged road detection using Image Processing and Deep 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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A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
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Argitaratua: (2023)

How people learn : brain, mind, experience, and school /
Argitaratua: (2000)

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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Argitaratua: (2024)

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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Argitaratua: (2021)

Corn leaf disease detection using deep convolution neural network
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Argitaratua: (2023)

A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
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Argitaratua: (2021)

How the brain learns /
nork: Sousa, David A.
Argitaratua: (2006)

Deep learning based arrhythmia classification on low-cost and low-compute MCU
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Argitaratua: (2023)

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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Argitaratua: (2010)

Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
nork: Biswas, Sunanda, et al.
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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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Argitaratua: (2023)