Results 61 to 70 of about 162,788 (289)

Marine Tourism and Social Responsibility of Destinations: An Analysis for the Formulation of Public Policies

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study analyses the commitment of marine tourism companies to Corporate Social Responsibility (CSR) and the factors that affect it (economics, pressures from interest groups, barriers, innovative capacity, relationships of the company with its environment and characteristics of the businesses).
Olga González‐Morales   +2 more
wiley   +1 more source

Mudanças temporais na utilização da baleia-franca, Eubalaena, Australis, pelas comunidades locais dos municípios de Imbituba e Garopaba, litoral sul de Santa Catarina, Brasil [PDF]

open access: yes, 2012
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Ciências Biológicas. Programa de Pós-Graduação em EcologiaA baleia-franca austral, Eubalaena australis, foi uma das espécies mais predadas pela caça baleeira em todo o mundo.
Bueloni, Fernanda Soares
core  

Photo Vignette - Whale Watching, Salish Style [PDF]

open access: yes, 2019
Photo Vignette - Whale Watching, Salish ...
Maracle, Lee
core   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

open access: yesDeep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li   +4 more
wiley   +1 more source

Interactions Between Tourism Vessels and Humpback Whales in the Gulf of Tribugá, Colombia

open access: yesOceans
Whale-watching is a growing ecotourism activity in Colombia that offers economic benefits but may pose behavioral risks to humpback whales (Megaptera novaeangliae) if not properly managed.
Laura Valentina Girón-Castaño   +3 more
doaj   +1 more source

Recent Advances in Whale-Watching Research: 2017–2018

open access: yes, 2018
Whale-watching research encompasses a wide variety of disciplines and fields of study, from monitoring the biological impacts of whale-watching activities on cetaceans and assessments of the effectiveness of whale-watching management and regulations, to ...
E. C. M. Parsons, Courtney E. Smith
core   +1 more source

Uniaxial compressive strength prediction and ratio parameter optimization of titanium tailings composite backfill materials using intelligent hybrid models

open access: yesDeep Underground Science and Engineering, EarlyView.
Based on the 90 datasets, ERT and four optimization algorithms were used to build four hybrid models to predict the UCS of the backfill body. The SMA‐ERT model was the most effective model, and it can reliably guide the design of the backfill ratio parameters. Abstract This study analyzed the feasibility of using titanium (Ti) tailings as a backfilling
Weijun Liu, Zida Liu, Zhixiang Liu
wiley   +1 more source

Whale Watching on Boat

open access: yes, 2022
A crowd watching from the back of a boat as a whale surfaces nearbyhttps://digitalcommons.csumb.edu/csumb-photos/1329/thumbnail ...

core   +1 more source

Recent Advances in Whale-Watching Research: 2016–2017

open access: yes, 2018
Whale-watching research encompasses a wide variety of disciplines and fields of study, from monitoring the biological impacts of whale-watching activities on cetaceans and assessments of the effectiveness of whale-watching management and regulations, to ...
E. C. M. Parsons, D. M. Brown
core   +1 more source

Explainable hybrid stacking ensemble method for hard rock pillar stability prediction and engineering applications

open access: yesDeep Underground Science and Engineering, EarlyView.
This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang   +3 more
wiley   +1 more source

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