Results 301 to 310 of about 31,003,301 (345)

Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues

Knowledge-Based Systems, 2020
The massive growth of data that are transmitted through a variety of devices and communication protocols have raised serious security concerns, which have increased the importance of developing advanced intrusion detection systems (IDSs).
A. Aldweesh, A. Derhab, A. Emam
semanticscholar   +1 more source

Performance Analysis of Machine Learning Approaches in Stroke Prediction

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2020
Most of strokes will occur due to an unexpected obstruction of courses by prompting both the brain and heart. Early awareness for different warning signs of stroke can minimize the stroke.
Minhaz Uddin Emon, Maria Sultana Keya, Tamara Islam Meghla, Md Mahfujur Rahman, M. A. Al Mamun, M. Kaiser   +5 more
semanticscholar   +1 more source

Analyzing the compressive strength of green fly ash based geopolymer concrete using experiment and machine learning approaches

, 2020
In this research, two different machine learning approaches are proposed for predicting the compressive strength of fly ash based geopolymer concrete. Experimental work with a total of 335 mix proportions were conducted to produce the data for training ...
K. T. Nguyen, Quang Dang Nguyen, T. Le, Jiuk Shin, Kihak Lee   +4 more
semanticscholar   +1 more source

Deep Learning Approaches on Pedestrian Detection in Hazy Weather

IEEE transactions on industrial electronics (1982. Print), 2020
Effectively detecting pedestrians in various environments would significantly improve driving safety for autonomous vehicles. However, the degrpted visibility and blurred outline and appearance of pedestrian images captured during hazy weather strongly ...
Guo-Fa Li, Yifan Yang, Xing-Da Qu
semanticscholar   +1 more source

THE OPEN UNIVERSITY'S APPROACH TO LEARNING

European Journal of Engineering Education, 1977
(1978). The Open University's approach to learning. European Journal of Engineering Education: Vol. 3, No. 1, pp. 312-320.
openaire   +1 more source

Approaches to Learning

2021
Learning is a unique activity. There is no fixed pattern for learning as psychologists suggest different approaches to learning. For example, a section of psychologists says that learning brings changes in overt behavior and other group says that learning brings changes in thinking.
openaire   +2 more sources

Conceptions of and Approaches to Learning Mathematics

Psychological Reports, 2000
Pearson correlation coefficients indicated a different relationship between conceptions of mathematics and approaches to learning mathematics to that reported in literature. It was concluded that the 154 students (82 women and 72 men) followed a strategic approach to learning mathematics.
openaire   +2 more sources

Personalization Approaches in Learning Environments

2012
Personalization approaches in learning environments can be addressed from different and complementary perspectives. PALE workshop aimed at the following issues: pedagogic conversational agents, responsive open learning environments, and user modeling for all.
Olga C. Santos, Milos Kravcik, Diana Pérez-Marín   +2 more
openaire   +1 more source

Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches

CATENA, 2019
Nowadays, a number of machine learning prediction methods are being applied in the field of landslide susceptibility modeling of the large area especially in the difficult hilly terrain. In the present study, hybrid machine learning approaches of Reduced
B. Pham, Indra Prakash, Sushant Kumar Singh, A. Shirzadi, H. Shahabi, Thi-Thu-Huyen Tran, D. Bui   +6 more
semanticscholar   +1 more source

Students’ Learning Motivation in Mathematics Learning: It is Effects on Students’ Learning Approaches​ on Surface Approach of Learning and Deep Approach of Learning

International Journal of Research and Innovation in Social Science
This quasi-experimental study investigates the impact of learning motivation on students’ learning approaches in mathematics education, focusing on intrinsic motivation, extrinsic motivation, and task value. In the study, divided into experimental group (N = 56) and control groups (N = 47).
openaire   +1 more source