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

Opis bibliograficzny
1. autor:	Krause, Lois Breur
Format:	Książka
Język:	English
Wydane:	Ohio : Cengage learning, 2008.
Wydanie:	4th ed.
Hasła przedmiotowe:	Learning. Cognitive learning. Learning ability.
Classic Catalogue:	View this record in Classic Catalogue

Podobne zapisy

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

How the special needs brain learns /
od: Sousa, David A.
Wydane: (2001)

How the special needs brain learns /
od: Sousa, David A.
Wydane: (2007)

Enjoying What We Don't Have
od: McGowan

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
od: Ghosh, Kawshik Kumar, i wsp.
Wydane: (2023)

Yoga posture recognition using the deep learning process
od: Islam, Abidul, i wsp.
Wydane: (2023)

What every teacher should know about learning, memory, and the brain /
od: Tileston, Donna Walker
Wydane: (2004)

Classification of peripheral blood cell images using deep learning
od: Aadi, Oyshik Ahmed, i wsp.
Wydane: (2024)

Learning theories for teachers /
od: Bigge, Morris L.
Wydane: (1982)

An efficient deep learning approach to detect skin Cancer
od: Islam, Ashfaqul, i wsp.
Wydane: (2022)

Prostate cancer detection using deep learning neural network with transfer learning approach
od: Badhon, Ariful Islam Mahmud, i wsp.
Wydane: (2022)

Classifying insect pests from image data using deep learning
od: Mohsin, Md. Raiyan Bin, i wsp.
Wydane: (2022)

Sentiment analysis on Bangladesh airlines review data using machine learning
od: Hasib, Khan Md.
Wydane: (2022)

A modern technique to detect potholes by Computer Vision and Deep Learning
od: Saif, Muntasir Mahmud, i wsp.
Wydane: (2023)

Damaged road detection using Image Processing and Deep Learning
od: Swadesh, Shimran Mahbub, i wsp.
Wydane: (2022)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
od: Tasnim, Anika, i wsp.
Wydane: (2022)

Child learning, intelligence, and personality : principles of a behavioral interaction approach /
od: Staats, Arthur W.
Wydane: (1971)

A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
od: Nawrin, Ishrat Nur, i wsp.
Wydane: (2023)

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

Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
od: Hossain, Prommy Sultana
Wydane: (2022)

An efficient deep learning approach to detect citrus leaves disease
od: Emon, Shaharear Hossain, i wsp.
Wydane: (2024)

Enhancing underwater object detection through water artifact removal and using ensemble transfer learning
od: Saikat, Nayem Hossain, i wsp.
Wydane: (2024)

Prediction and detection in change of cognitive load for VIP’s by a machine learning approach
od: Rahman, Fahim, i wsp.
Wydane: (2021)

Corn leaf disease detection using deep convolution neural network
od: Rabbi, Rawhatur, i wsp.
Wydane: (2023)

A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
od: Morshed, Atique, i wsp.
Wydane: (2021)

How the brain learns /
od: Sousa, David A.
Wydane: (2006)

Deep learning based arrhythmia classification on low-cost and low-compute MCU
od: Zishan, Md Abu Obaida, i wsp.
Wydane: (2023)

A deep learning approach towards soft biometrics attributes prediction using CNN
od: Kibria, Maharab, i wsp.
Wydane: (2022)

Document template identification and data extraction using machine learning and deep learning approach
od: Roy, Kaushik, i wsp.
Wydane: (2024)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
od: Hasan, M. M. Kamrul, i wsp.
Wydane: (2022)

Bang-lish sentiment classification using deep learning
od: Saleheen, Abrar, i wsp.
Wydane: (2023)

DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
od: Khan, Ibrahim
Wydane: (2023)

An efficient deep learning approach to detect skin cancer using image data
od: Chowdhury, Yaser Al Rahman, i wsp.
Wydane: (2023)

RetinalNet-500: a newly developed CNN model for eye disease detection
od: Toki, Sadikul Alim, i wsp.
Wydane: (2023)

E-learning software in the context of Bangladesh : proposal for an interactive model according to bloom's texonomy
od: Raihan, Ariful Hoque, i wsp.
Wydane: (2010)

Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
od: Biswas, Sunanda, i wsp.
Wydane: (2022)

A secured federated learning system leveraging confidence score to identify retinal disease
od: Eshan, M Sakib Osman, i wsp.
Wydane: (2023)

Why Don't American Cities Burn?
od: Katz

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
od: Ahasan, Md. Mubtasim, i wsp.
Wydane: (2022)

An interpretable transformer based approach to classify Malaria from blood cell images
od: Islam, Mehafuza, i wsp.
Wydane: (2023)