Browsing by Title
Now showing items 20695-20714 of 38339
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Leadership, Coordination, and Power in Three Public Administrations: Halifax, Edmonton, and Vancouver
(2015-12-09)Coordinating transportation and land use planning is a growing challenge, especially as planning documents proliferate. Good leadership could effectively address the problem; however, the context can disempower leaders and ... -
Leading Change: Student Engagement in Sustainability Leadership
(2017-04-24)Why do students engage in Sustainability Leadership (SL)? To answer this research question, an exploratory study using mixed methodology was conducted. For the purposes of this study, SL was defined as inspiring, supporting, ... -
Leaf-Burning Ritual
(1970) -
The League and Abyssinia
(1936) -
Leakage of Gases from Inoculated and Sterile Grass Roots
(Balaban Publishers, 1990) -
Leap and Fall
(2019) -
A LEAP TOWARDS ENVIRONMENTALLY FRIENDLY, EFFICIENT, AND STABLE PEROVSKITE PHOTODETECTORS
(2024-03-05)Metal halide perovskite (ABX3) is a material with the potential to revolutionize the photodetector industry because of its low cost, easy fabrication, and excellent optoelectronic properties. However, its toxicity, ... -
Learning Adaptive Deep Representations for Few-to-Medium Shot Image Classification
(2021-02-22)In real-world applications, the environment in which a machine learning system is deployed tends to change due to many factors, such as sample selection bias, prior probability mismatch, and domain shift. This makes it ... -
Learning dynamic stereotypes for effective autonomous agents.
(Dalhousie University, 2004) -
Learning Embeddings for Text and Images from Structure of the Data
(2019-06-25)In the big data era, most of the data generated every day are high dimensional such as text and image data. Learning compact representations from the input data can help in dealing with the high dimensionality and visualization ... -
Learning from Eelgrass: A Transformative Spa Experience to Restore Balance Between Humans and Nature
(2023-08-15)While the use of natural materials has proven to reduce embodied carbon emissions, the success of sustainable interventions ultimately depends on shifting the environmental ethos of humans. Here lies an important role for ... -
Learning from Land: Interweaving Traditions of Making along the Blue Nile
(2023-07-16)In Sudan, practices of agroforestry once created closed-loop cycles of production that harmoniously linked landscape, agriculture, craft, and architecture. However, these practices have largely been wiped out by past ... -
Learning from Literature
(1997) -
LEARNING FROM NATURE: AN ECO-INDUSTRIAL DEVELOPMENT OPPORTUNITY FOR IMPROVED FOOD AND ENERGY SELF-SUFFICIENCY IN THE PROVINCE OF SANTIAGO DE CUBA
(2013-11-20)Recently, one of the more significant measures on the part of the Cuban government to enhance resiliency of the existing economy was the announcement of a series of economic and social policy proposals referred to as ... -
Learning in Non-Stationary Environments
(2013-08-26)Real-world decision making is challenging due, in part, to changes in the underlying reward structure: the best option last week may be less rewarding today. Determining the best response is even more challenging when ... -
LEARNING LESSONS THROUGH EXPERIENCES WITH DISASTERS: Exploring Institutional Memory-Building and the Informing of Disaster Relief in Nova Scotia and Beyond
(2020-12-16)This thesis explores the central research question: how are lessons learned from experiences with disasters? Based on three case studies detailing Nova Scotia Emergency Management Office’s experiences responding to the ... -
Learning Optical Flow with Auxiliary Cost Aggregation
(2023-11-30)Optical flow represents motions for each pixel between two adjacent frames in a video sequence. Deep learning-based estimation approaches for optical flow have overshadowed the variational approaches over the past few ... -
Learning Stochastic Weight Masking to Resist Adversarial Attacks
(2019-12-02)Adding small perturbations to test images can drastically change the classification accuracy of machine learning models. These perturbed examples are called adversarial examples (Szegedy et al., 2013). Studying these ... -
Learning to Let Go
(1977)