Results 11 to 20 of about 1,304,479 (314)

Bioeconomic-Epidemiological Model of Scomber colias Population in the Moroccan Coasts

Journal of Applied Mathematics, 2021
In this paper, we develop and study a mathematical model for the dynamics of Scomber colias and Thunnus thynnus prey-predator with parasitic helminths.
Nossaiba Baba, Imane Agmour, Yousef El Foutayeni, Naceur Achtaich   +3 more
doaj   +1 more source

Deep learning for sustainable agriculture needs ecology and human involvement

Journal of Sustainable Agriculture and Environment, 2023
Deep learning is an emerging data analytic tool that can improve predictability, efficiency and sustainability in agriculture. With a bibliometric analysis of 156 articles, we show how deep learning methods have been applied in the context of sustainable
Masahiro Ryo, Josepha Schiller, Stefan Stiller, Juan Camilo Rivera Palacio, Konlavach Mengsuwan, Anastasiia Safonova, Yuqi Wei   +6 more
doaj   +1 more source

A Fast Algorithm for Solving a Class of the Linear Complementarity Problem in a Finite Number of Steps

Abstract and Applied Analysis, 2020
The linear complementarity problem is receiving a lot of attention and has been studied extensively. Recently, El foutayeni et al. have contributed many works that aim to solve this mysterious problem.
Yamna Achik, Asmaa Idmbarek, Hajar Nafia, Imane Agmour, Youssef El foutayeni   +4 more
doaj   +1 more source

Application of quasi-Monte Carlo and importance sampling to Monte Carlo-based fault tree quantification for seismic probabilistic risk assessment of nuclear power plants

Mechanical Engineering Journal, 2023
The significance of probabilistic risk assessments (PRAs) of nuclear power plants against external events was re-recognized after the Fukushima Daiichi Nuclear Power Plant accident.
Kotaro KUBO, Yoichi TANAKA, Yuto HAKUTA, Daisuke ARAKE, Tomoaki UCHIYAMA, Ken MURAMATSU   +5 more
doaj   +1 more source

Performance, Validation and Testing with the Network Simulation Cradle [PDF]

, 2006
Much current simulation of TCP makes use of simplified models of TCP, which is a large and complex protocol with many variations possible between implementations.
Jansen, Sam, McGregor, Anthony James
core   +1 more source

Internet-of-Things Devices in Support of the Development of Echoic Skills among Children with Autism Spectrum Disorder

Sensors, 2021
A significant therapeutic challenge for people with disabilities is the development of verbal and echoic skills. Digital voice assistants (DVAs), such as Amazon’s Alexa, provide networked intelligence to billions of Internet-of-Things devices and have ...
Krzysztof J. Rechowicz, John B. Shull, Michelle M. Hascall, Saikou Y. Diallo, Kevin J. O’Brien   +4 more
doaj   +1 more source

Spatiotemporal Analysis and Multi-Scenario Prediction of Ecosystem Services Based on Land Use/Cover Change in a Mountain-Watershed Region, China

Remote Sensing, 2023
Land use/cover change (LUCC) accompanied by climate change and human activities will have unpredictable impacts on watershed ecosystems. However, the extent to which these land use changes affect the spatial and temporal distribution of ecosystem ...
Jingyi Liu, Yong Zhou, Li Wang, Qian Zuo, Qing Li, Nan He   +5 more
doaj   +1 more source

A simulation approach to PERT network analysis [PDF]

, 1991
This paper presents simulation as a useful analytical tool for project network analysis. Simulation is a powerful tool for evaluating many of the decision parameters involved in project management.
Adedeji B. Badiru
core   +1 more source

Evaluation of Ecological Environment Effect of Villages Land Use and Cover Change: A Case Study of Some Villages in Yudian Town, Guangshui City, Hubei Province

Land, 2021
Rapid economic development has a significant negative impact on the rural ecological environment. Evaluating the ecological environmental effect of land use and its change trend at the village scale has important practical significance for maintaining ...
Wei Ren, Xuesong Zhang, Yebo Shi
doaj   +1 more source

A Structured Narrative Prompt for Prompting Narratives from Large Language Models: Sentiment Assessment of ChatGPT-Generated Narratives and Real Tweets

Future Internet, 2023
Large language models (LLMs) excel in providing natural language responses that sound authoritative, reflect knowledge of the context area, and can present from a range of varied perspectives.
Christopher J. Lynch, Erik J. Jensen, Virginia Zamponi, Kevin O’Brien, Erika Frydenlund, Ross Gore   +5 more
doaj   +1 more source