Results 71 to 80 of about 8,751,520 (309)

Balancing Flood Risk and Water Supply in California: Policy Search Integrating Short‐Term Forecast Ensembles With Conjunctive Use

open access: yesWater Resources Research, 2018
Short‐term weather forecasts have the potential to improve reservoir operations for both flood control and water supply objectives, especially in regions currently relying on fixed seasonal flood pools to mitigate risk.
M. Nayak, J. Herman, S. Steinschneider
semanticscholar   +1 more source

Understanding bio‐based polymers: A study of origins, properties, biodegradation and their impact on health and the environment

open access: yesFEBS Open Bio, EarlyView.
This review provides an overview of bio‐based polymer sources, their unique functional properties and their environmental impact, and addresses their role as sustainable alternatives. It discusses end‐of‐life options, including composting and anaerobic digestion for renewable energy.
Sabina Kolbl Repinc   +8 more
wiley   +1 more source

Improving operational use of post-disaster damage assessment for Urban Search and Rescue by integrated graph-based multimodal remote sensing data analysis

open access: yesProgress in Disaster Science
This work investigates the application of remote sensing technologies within the specific operational context of emergency urban search and rescue (USAR) efforts post-disaster. We thoroughly investigate two innovative methodologies, each tailored to meet
Sivasakthy Selvakumaran   +10 more
doaj   +1 more source

In Search for a Pronatalist Population Policy for Turkey

open access: yesGaziantep Üniversitesi Sosyal Bilimler Dergisi, 2015
Turkey has witnessed high fertility rates and low mortality rates until 2000s. Young population structure, need for infrastructure for growing population and reproductive health issues were always on the agenda of policy makers throughout the history of ...
Yusuf YÜKSEL
doaj   +1 more source

Tracking and Mining the COVID-19 Research Literature

open access: yesFrontiers in Research Metrics and Analytics, 2020
The unprecedented, explosive growth of the COVID-19 domain presents challenges to researchers to keep up with research knowledge within the domain. This article profiles this research to help make that knowledge more accessible via overviews and novel ...
Alan L. Porter   +5 more
doaj   +1 more source

Enhancing Oncological Care for India's Aging Population: Addressing the Complex Needs of Older Adults With Cancer

open access: yesAging and Cancer, EarlyView.
Aging‐associated physiological and molecular alterations pose significant challenges in cancer management among India's elderly. Limited geriatric oncology expertise, financial constraints, and inadequate specialized care exacerbate disparities. Strategic expansion of insurance coverage, integration of palliative care, and infrastructural advancements ...
Nihanthy D. Sreenath   +3 more
wiley   +1 more source

Local Policy Search in a Convex Space and Conservative Policy Iteration as Boosted Policy Search [PDF]

open access: yes, 2014
Local Policy Search is a popular reinforcement learning approach for handling large state spaces. Formally, it searches locally in a parameterized policy space in order to maximize the associated value function averaged over some pre-defined distribution. The best one can hope in general from such an approach is to get a local optimum of this criterion.
Scherrer, Bruno, Geist, Matthieu
openaire   +1 more source

Re‐Awakening Public Attention to the Silent Pandemic of Cancer Among Older Adults in Low‐ and Middle‐Income Countries

open access: yesAging and Cancer, EarlyView.
ABSTRACT As global populations age, cancer is increasingly becoming a leading cause of morbidity and mortality among older adults, particularly in low‐ and middle‐income countries (LMICs). Despite accounting for the majority of new cancer cases and deaths, older individuals remain underrepresented in cancer research, clinical guidelines, and health ...
Ibrahim Bidemi Abdullateef   +2 more
wiley   +1 more source

Hierarchical Relative Entropy Policy Search [PDF]

open access: yes, 2016
Many reinforcement learning (RL) tasks, especially in robotics, consist of multiple sub-tasks that are strongly structured. Such task structures can be exploited by incorporating hierarchical policies that consist of gating networks and sub-policies.
C. Daniel   +3 more
openaire   +1 more source

Policy Search via the Signed Derivative [PDF]

open access: yesRobotics: Science and Systems V, 2009
We consider policy search for reinforcement learning: learning policy parameters, for some fixed policy class, that optimize performance of a system. In this paper, we propose a novel policy gradient method based on an approximation we call the Signed Derivative; the approximation is based on the intuition that it is often very easy to guess the ...
J. Z. Kolter, A. Y. Ng
openaire   +1 more source

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