Cerca risorse accademiche

Esplora cataloghi istituzionali, risorse elettroniche, riviste ad accesso aperto, collezioni disponibili e collegamenti per l’accesso accademico.

Cosa riunisce NODOVOX Discovery: Cataloghi istituzionali, risorse elettroniche, riviste ad accesso aperto, collezioni disponibili e collegamenti per l’accesso accademico.

Risultati

13 risultati trovati.

Tipi di risorsa: Libro cartaceo Libro elettronico Articolo Rivista Tesi Capitolo
Ricerca accademica
Forest fire rescue path network optimization combining multi-source remote sensing data and hierarchical analysis
Articolo
Articolo
Q. Yuan · Copernicus Publications · 2026 · ISSN 1682-1750
Forest fires have exhibited an escalating trend in both frequency and intensity globally, with major and catastrophic events causing significant damage to forest resources, human lives, and property. Timely and accurate ...
LCC TENDOlRlY2hub2xvZ3k~; LCC:Engineering (General). Civil engineering (General); TENDOkFwcGxpZWQgb3B0aWNzLiBQaG90b25pY3M~Idioma Inglés
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
An ensemble hybrid and explainable AI (XAI) framework for zero false-positive islanding detection in distribution networks
Articolo
Articolo
Samiksha K. Shahade et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract This paper proposes a novel hybrid ensemble machine learning framework integrated with Explainable AI (XAI) to overcome the fundamental trade-off between non-detection zones (NDZ) and false positives in conventi...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma Inglés
El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Material complementario
Developing a Python neural network model for potato yield forecasting with limited data
Articolo
Articolo
D. A. Moskvichev · Federal Agricultural Research Center of the North-East named N.V. Rudnitsky · 2026 · ISSN 2072-9081
This research focuses on developing a neural network model in the Python programming language to solve the technological problem of forecasting potato yields with limited agroclimatic data. The developed program is consi...
LCC LCC:AgricultureIdioma rus
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
Forecasting Aviation Carbon Emissions with Tree-Based Machine Learning: A Case Study of Turkish Airlines Operational Data
Articolo
Articolo
Demet Dağlı et al · Embry-Riddle Aeronautical University · 2025 · ISSN 2374-6793
The global aviation industry plays a critical role in economic development and international connectivity. However, it also contributes significantly to environmental challenges, particularly through fuel consumption and...
LCC LCC:Motor vehicles. Aeronautics. AstronauticsIdioma Inglés
El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Material complementario
Novel and hybrid model of pelican optimization algorithm with light gradient boosting model for smart infrastructure: A high-precision approach to occupancy and failure prediction
Articolo
Articolo
Chao Pan · KeAi Communications Co., Ltd · 2026 · ISSN 2949-7361
Prediction of building occupancy is a very important element of structural health monitoring (SHM), smart building systems, and energy management. In this study, a number of visualization tools are used to analyze the pe...
LCC TENDOkVudmlyb25tZW50YWwgZW5naW5lZXJpbmc~; TENDOkVudmlyb25tZW50YWwgc2NpZW5jZXM~Idioma Inglés
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
Prediction of mean blast fragment size based on a tri-model hybrid optimization model RF-WOA-XGBoost
Articolo
Articolo
XU Ziying et al · Emergency Management Press · 2026 · ISSN 2096-2193
Using historical data from blasting operations of open-pit mines to predict the average rock fragment size is crucial for optimizing blasting parameters. However, existing methods face 3 major challenges: interference fr...
LCC LCC:Engineering geology. Rock mechanics. Soil mechanics. Underground construction; TENDOk1pbmluZyBlbmdpbmVlcmluZy4gTWV0YIdioma Inglés
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
Study of the impact of diesel generator sites on the local climate change of the city of Mosul using geographic information systems
Articolo
Articolo
Sabah Ali et al · University of Mosul, College of Education for Pure Science · 2011 · ISSN 1812-125X
Abstract Since the mid of 1990th, Mosul city over all Iraq cities, is used widely the local power diesel generators. The generators exhaust emits a large amounts of hydrocarbon gases, including, of course, carbon dioxide...
LCC TENDOkVkdWNhdGlvbg~~; LCC:Science (General)Idioma Inglés
El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Material complementario
Algoritmos genéticos guiados para predicción de incendios forestales
Testo / risorsa
Testo / risorsa
Denham, Mónica Malén et al · SEDICI UNLP · 2007
En este trabajo se propone una metodología para mejorar las predicciones de incendios forestales. Utilizando un simulador ya desarrollado, se utiliza un algoritmo genético para realizar una búsqueda efectiva de parám...
Idioma Español
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
Nova Mehanizacija Šumarstva
Articolo
Articolo
University of Zagreb; Croatia · ISSN 1845-8815
Materie / parole chiave: forestry, engineering, forest operations, management, work safety, technology; Agriculture: Forestry
Idioma Croatian, English
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.Disponible en 2 proveedores
Open Access
Pro Ligno
Articolo
Articolo
Editura Universitatii Transilvania din Brasov; Romania · ISSN 1841-4737
Materie / parole chiave: wood engineering, wood processing, materials science, wood science, timber, forest operations; Agriculture: Forestry
Idioma English
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.Disponible en 2 proveedores
Open Access
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