تصفح Academic حسب العنوان
السجلات المعروضة 13041 -- 13060 من 26977
-
Learn-pads: A mathematical exergaming system for children's physical and mental well-being
( IEEE , 2011 , Conference Paper)Child obesity is one of the major challenges facing modern societies, especially in developed countries. Exergaming tools are considered as effective means to reduce obesity among kids because they require the children to ... -
Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Aquatic macroinvertebrate biomonitoring is an efficient way of assessment of slow and subtle anthropogenic changes and their effect on water quality. It is imperative to have reliable identification and counts of the various ... -
Learned vs. hand-designed features for ECG beat classification: A comprehensive study
( Springer Verlag , 2017 , Conference Paper)In this study, in order to find out the best ECG classification performance we realized comparative evaluations among the state-of-the-art classifiers such as Convolutional Neural Networks (CNNs), multi-layer perceptrons ... -
Learning : the treasure within
( Qatar University , 1998 , Article) -
Learning from their experiences: Strategies used by youth and young adult ex-vapers
( Elsevier , 2023 , Article)IntroductionThe prevalence of vaping among youth and young adults (YYAs; 16–18 and 19–24 years old, respectively) is moderate worldwide. Existing vaping cessation evidence lacks input from ex-vapers with a history of regular ... -
Learning games for children with intellectual challenges
( IEEE , 2012 , Conference Paper)This paper discuss the design of the current educational tutorials and games which are developed for children with intellectual challenges who are resident in the Shafallah center for children with special needs in Doha, ... -
Learning graph affinities for spectral graph-based salient object detection
( Elsevier Ltd , 2017 , Article)In this paper, we propose a novel method for learning graph affinities for salient object detection. First, we assume that a graph representation of an image is given with a predetermined connectivity rule and representative ... -
Learning in lockdown: Exploring the impact of COVID-19 on interprofessional education
( Mark Allen Publishing Ltd. , 2021 , Article)The COVID-19 pandemic has had a significant impact on the learning experiences of students undertaking health and social care programmes across the globe. In the UK, the Nursing and Midwifery Council introduced emergency ... -
Learning needs assessments in continuing professional development: A scoping review
( Taylor and Francis Group , 2022 , Article)Background: A rigorous learning needs assessment (LNA) is a crucial initial step in the Continuing Professional Development (CPD) process. This scoping review aimed to collate, summarize, and categorize the reported LNA ... -
Learning predictive autoscaling policies for cloud-hosted microservices using trace-driven modeling
( IEEE Computer Society , 2019 , Conference Paper)Autoscaling methods are important to ensure response time guarantees for cloud-hosted microservices. Most of the existing state-of-the-art autoscaling methods use rule-based reactive policies with static thresholds defined ... -
Learning Priniciples Essential for effective computer assisted instruction (cai)
( Qatar University , 1990 , Article)Guidelines and recommendations for effective computer assisted instruction are presented based on a review of the current theories and research relating to cognitive conceptions of learning and instructional design which ... -
LEARNING SUPPLY CHAIN MANAGEMENT DYNAMICS THROUGH USE OF AN INTERACTIVE ONLINE GAME
(2018 , Professional Masters Project)Supply chains consist of a multitude of processes related to procurement, manufacturing, inventory, transportation, logistics, distribution, and so on. These processes are subject to various sources of variability and ... -
Learning to rank salient segments extracted by multispectral Quantum Cuts
( Elsevier B.V. , 2016 , Article)and third, multispectral approach is followed to generate multiple proposals instead of a single proposal as in Quantum Cuts. The proposed learn-to-rank algorithm is then applied to these multiple proposals in order to ... -
LEARNING-BASED CONTROL OF CANCER CHEMOTHERAPY TREATMENT
( Elsevier B.V. , 2017 , Article)The increasing threat of cancer to human life and the improvement in survival rate of this disease due to effective treatment has promoted research in various related fields. This research has shaped clinical trials and ... -
Learning-free handwritten word spotting method for historical handwritten documents
( John Wiley and Sons Inc , 2021 , Article)Word spotting on degraded and noisy historical documents can become a challenging task considering the computational time and memory usage required to scan the entire document image. This paper proposes a new effective ... -
Least-squares spectral methods for ODE eigenvalue problems
( Society for Industrial and Applied Mathematics , 2022 , Article)We develop spectral methods for ODEs and operator eigenvalue problems that are based on a least-squares formulation of the problem. The key tool is a method for rectangular generalized eigenvalue problems, which we extend ... -
Lebanese Pre-service Teachers' Dispositions and Efficacy Beliefs in an Early Years Mathematics Methods Course
( Mathematics Education Research Group of Australasia (MERGA). , 2022 , Article)With the growing emphasis on early mathematics education, it is imperative to explore the preparedness of early years mathematics pre-service teachers in relation to content knowledge, beliefs, and dispositions. Therefore, ... -
Lecturing skills as predictors of tutoring skills in a problem-based medical curriculum
( Dove Press , 2016 , Article)Purpose: Recruitment of tutors to work in problem-based learning (PBL) programs is challenging, especially in that most of them are graduated from discipline-based programs. Therefore, this study aims at examining whether ... -
Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Echocardiogram (echo) is the earliest and the primary tool for identifying regional wall motion abnormalities (RWMA) in order to diagnose myocardial infarction (MI) or commonly known as heart attack. This paper proposes a ... -
Legacies of state-building and political fragility in conflict-ridden Yemen: Understanding civil service change and contemporary challenges
( Cogent OA , 2020 , Article)Constitutional, economic and administrative reforms have generated debates about their unintended consequences in poor and developing countries, and the best way to steer them towards better outcomes. In-depth case study ...
