Results 91 to 100 of about 27,121 (188)

Probabilistic Multi‐Objective Energy Management System Model for an Energy Hub With PtG Technology for Cost Reduction and System Flexibility Improvement

open access: yesEnergy Science &Engineering, Volume 14, Issue 4, Page 1749-1764, April 2026.
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi   +3 more
wiley   +1 more source

An Assessment of Avian Populations Within the FAP 431 Project Area, Cook, Dupage, and Will Counties, Illinois [PDF]

open access: yes, 1989
Final Report, issued June, 1989Report issued on: June 1989INHS Technical Report prepared for Ilinois Department of Transportation, Bureau of Location and ...
Malmborg, Patti L., Vanderah, Glendy C.
core  

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

open access: yesEnergy Science &Engineering, Volume 14, Issue 4, Page 2318-2344, April 2026.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan   +4 more
wiley   +1 more source

Egg Spots Are Important Cues for Egg Recognition in Barn Swallows

open access: yesEcology and Evolution
Egg recognition is one of the most common strategies utilized by host birds to combat brood parasitism. Eggshell surface features (e.g., eggshell color and spots) are important cues for host egg recognition, enabling avian hosts to recognize and reject ...
Kui Yan   +3 more
doaj   +1 more source

Discard Survival of Thornback Ray (Raja clavata), Undulate Ray (Raja undulata) and Small‐Eyed Ray (Raja microocellata) in Northeast Atlantic Inshore Fisheries

open access: yesFisheries Management and Ecology, Volume 33, Issue 2, Page 355-367, April 2026.
ABSTRACT Quantifying discard survival of species is crucial for effective fishery management. Electronic tags and visual health assessments were used to estimate postrelease survival of commercially caught thornback ray (Raja clavata), undulate ray (Raja undulata) and small‐eyed ray (Raja microocellata) from Northeast Atlantic inshore fisheries ...
Serena R. Wright   +6 more
wiley   +1 more source

Game Changers in the Treatment of and Engagement With Persons Living With Mental Health and Substance Use Disorders: The Role of the Nurse

open access: yesInternational Journal of Mental Health Nursing, Volume 35, Issue 2, April 2026.
ABSTRACT The game changers in mental health and substance use disorder treatment have been shaped by historical sea changes marked by transformative advancements that have significantly enhanced patient care. Breakthroughs in psychotherapy, psychosurgery and psychopharmacology have each contributed to reshaping clinical practices, especially the ...
Arlene Kent‐Wilkinson   +2 more
wiley   +1 more source

Reviewer Integration and Performance Measurement for Malware Detection

open access: yes, 2016
We present and evaluate a large-scale malware detection system integrating machine learning with expert reviewers, treating reviewers as a limited labeling resource.
Afroz, Sadia   +11 more
core   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

open access: yesJournal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen   +4 more
wiley   +1 more source

Climate change is associated with asynchrony in arrival between two sympatric cuckoos and both host arrival and prey emergence

open access: yesRoyal Society Open Science
Matching the timing of spring arrival to the breeding grounds with hosts and prey is crucial for migratory brood parasites such as cuckoos. Previous studies have focused mostly on phenological mismatch between a single cuckoo species and its hosts but ...
Peter Mikula   +6 more
doaj   +1 more source

Geometric Multi-Model Fitting by Deep Reinforcement Learning

open access: yes, 2018
This paper deals with the geometric multi-model fitting from noisy, unstructured point set data (e.g., laser scanned point clouds). We formulate multi-model fitting problem as a sequential decision making process.
Chen, Yiping   +5 more
core   +1 more source

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