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Optimal Travel Route Recommendation Mechanism Based on Neural Networks and Particle Swarm Optimization for Efficient Tourism Using Tourist Vehicular Data

Malik, Kim
2019 Sustainability  
In this work, we propose an optimal route recommendation mechanism for the prediction of the next tourist attraction and optimal route recommendation to the predicted tourist attraction.  ...  The data used is the tourism data of Jeju Island from December 2016 to December 2017.  ...  Recommendations are made based on a weighted tree that takes into account the time to drive, distance, velocity, and the attractiveness of the destination from an uncrowded to crowded hot spot for the  ... 
doi:10.3390/su11123357 fatcat:hs7b772hdbgm3ieakjqzdwfqxa

An Effective Hybrid Approach for Forecasting Currency Exchange Rates

Mei-Li Shen, Cheng-Feng Lee, Hsiou-Hsiang Liu, Po-Yin Chang, Cheng-Hong Yang
2021 Sustainability  
In this study, we develop a new forecasting approach referred to as FSPSOSVR, which is able to accurately predict exchange rates by combining particle swarm optimization (PSO), random forest feature selection  ...  PSO is used to obtain the optimal SVR parameters for predicting exchange rates.  ...  Materials and Methods Overview of Techniques In order to accurately predict the exchange rate, a hybrid model named FSPSOSVR is proposed, which consists of random forest (RF), PSO, and SVR.  ... 
doi:10.3390/su13052761 fatcat:qznkidldfzavvh4sa4atlegz7i

The Vessel Schedule Recovery Problem (VSRP) – A MIP model for handling disruptions in liner shipping

Berit D. Brouer, Jakob Dirksen, David Pisinger, Christian E.M. Plum, Bo Vaaben
2013 European Journal of Operational Research  
in number of services for taxis.  ...  for the optimization of plants and entire supply chains that are involved in EWO problems.  ...  Finally, a recommended solutions are presented and analyzed based on the strategic plan and can provide valuable insights for tourism administrators and academics in international tourism market.  ... 
doi:10.1016/j.ejor.2012.08.016 fatcat:c27kagfnxnhjfbil2rydhjhomm

Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases [chapter]

Rajesh Singh, Anita Gehlot, Dharam Buddhi
2022 Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases  
Precise diagnosis of these diseases on time is very significant for maintaining a healthy life.  ...  A comparative study of different machine learning classifiers for chronic disease prediction viz Heart Disease & Diabetes Disease is done in this paper.  ...  The Solar-Stirling engine systems can be the better option for off-grid power generation.  ... 
doi:10.13052/rp-9788770227667 fatcat:da47mjbbyzfwnbpde7rgbrlppe

Comparison Four Different Probability Sampling Methods based on Differential Evolution Algorithm

Qingbo Lu, Xueliang Zhang, Shuhua Wen, Guosheng Lan
2012 Journal of Advances in Information Technology  
In this paper, segmentation problems in medical imaging modalities especially for lung CT as well as for thyroid ultrasound (US) are discussed along with their comparative results are shown using automatic  ...  The current studies almost are based on the simple random sampling method, and so this paper investigates other probability sampling methods, and proposed three novel differential evolution algorithms.  ...  ACKNOWLEDGMENT The authors wish to thank management of Goel Group of Institutions, Lucknow for providing sponsorship in this endeavor.  ... 
doi:10.4304/jait.3.4.206-214 fatcat:lt35ulkqwfbbbikn6xtlfhcoty


2022 2022 International Conference on Decision Aid Sciences and Applications (DASA)  
., SVM, Decision tree and Random forest for estimating the match outcome on different match scenarios.  ...  The implemented classifiers are the K Nearest Neighbor (KNN), Random Forest and Logistic Regression.  ...  This study accounts for the problems in grade assessment of heritage buildings through the Weighted Sum Method (WSM) for ranking attributes based on multiple criteria, which in the current research are  ... 
doi:10.1109/dasa54658.2022.9765271 fatcat:ttqppf4j3navnaxe653mrzmezi

Engineering, Technology & Applied Science Research (ETASR), Vol. 12, No. 2, pp. 8228-8481

2022 Zenodo  
The table of contents for this issue can be found at: For more info visit the journal's site at:  ...  Engineering, Technology & Applied Science Research (ETASR) is an international bimonthly wide scope, peer-reviewed open access journal for the publication of original articles concerned with diverse aspects  ...  ACKNOWLEDGMENT The authors acknowledge Pan African University's Institute for Basic Sciences, Technology, and Innovation for funding this research.  ... 
doi:10.5281/zenodo.6509470 fatcat:nn7pi5ec35gzplz6ewln2lbbrm

Farmers Perceptions about Climate Change Vulnerabilities and their Adaptation Measures in District Swat

Muhammad Suleman Bacha, Mohammad Nafees, Syed Adnan
2018 Sarhad Journal of Agriculture  
Team members also visited Muzzafarghar and Multan districts in Punjab, and Badin district in Sindh for spot-checking and validation.  ...  Deforestation is highest in the Indus Delta mangroves, with an annual rate of 2.3 percent, compared with a rate of 1.99 percent for coniferous forests and 0.23 percent for riverine forests.  ...  For the petroleum sector, oil supplies to some power generation facilities and public retail outlets were suspended but are 8.  ... 
doi:10.17582/journal.sja/2018/34.2.311.326 fatcat:msmfjdeoqre5fco6y5roabh23i

Paradigms for Algorithms and Interactions [chapter]

Andrea Zanella, Michele Zorzi, Elena Fasolo, Anibal Ollero, Ivan Maza, Antidio Viguria, Marcelo Pias, George Coulouri, Chiara Petrioli
2010 Cooperating Embedded Systems and Wireless Sensor Networks  
Embedded WiSeNts Paradigms for algorithms and interactions  ...  An alternative method for selecting clusterheads for the LEACH-like model is presented in [94] . Particle swarm optimization (PSO) is used for dividing the network into clusters.  ...  Finally, a random topology is obtained when nodes are scattered in the area without any plan, as in the case of airplane dissemination of sensors over a forest or a contaminated area.  ... 
doi:10.1002/9780470610817.ch3 fatcat:y6rg4ciutvelxkwt72fhwzdyd4

Full Issue PDF

Dwayne Lepitzki
2020 Canadian field-naturalist  
natural history and to diffuse information on these fields as widely as possible; to support and cooperate with organizations engaged in preserving, maintaining, or restoring environments of high quality for  ...  The Canadian Centre for DNA Barcoding performed our predator DNA analysis for which we thank Sean Prosser for primary com munications. We would like to thank E.  ...  Hance Ellington for critical evaluation and valuable editing of the manuscript, Christina Prokopenko for reviewing and giving commentary, Manuelle Landry-Cuerrier for assisting with project logistics,  ... 
doi:10.22621/cfn.v134i1.2771 fatcat:2z6iqkxmpnhkxg7cnvln3cfsmm

The Security-Development nexus: expressions of sovereignty and securitization in Southern Africa

2007 ChoiceReviews  
StEffEN JENSEN is senior researcher at the rehabilitation and research Centre for torture Survivors and teaches at the international Development Studies Centre at roskilde university.  ...  This is the so-called "oil-spot" strategy.  ...  However, in 1999 the government did, despite the vagueness of the recommendations, present its policies on South African participation in pSos in the white paper on peace missions. foreign Minister Zuma  ... 
doi:10.5860/choice.45-1700 fatcat:y22caqne5fd3fpdnpokbww3n5u

Blockchain Service Network - a Digital Extension of the Belt and Road Initiative

Nenad Tomić
2021 Proceedings of the International Scientific Conference - Sinteza 2021   unpublished
First is a constant [4] or random inertia weight [7] , in which the value of inertia weight is constant or random.  ...  Forest ensembles learning methods.  ...  This type of chatbot is ideal for creating an assistant for WhatsApp, plain text messages or another messaging platform with a limited user interface). 2.  ... 
doi:10.15308/sinteza-2021-207-213 fatcat:wz426avhbjb75eqcvq5jy53xum

National Marine Fisheries Service Endangered Species Act Section 7 Biological Opinion on the Lamont-Doherty Earth Observatory's Marine Geophysical Survey by the R/V Marcus G.Langseth off Western Mexico in the Eastern Tropical Pacific Ocean and National Marine Fisheries Service Permits and Conservation Division's Issuance of an Incidental Harassment Authorization pursuant to Section 101(a)(5)(D) of the Marine Mammal Protection Act

database that can be queried to aggregate data across PSO reports.  ...  We recommend the NSF use the Marine Mammal Commission's recommended method for estimating the number of cetaceans in the vicinity of seismic surveys based on the number of groups detected for post-seismic  ...  The subscript associated with cumulative sound exposure level thresholds indicates the designated marine mammal auditory weighting function and that the recommended accumulation period is 24 hours.  ... 
doi:10.25923/wetp-dt20 fatcat:xu2rzk45l5cita3zlyltafos5u

Sustainable Drainage Systems [chapter]

Neil Berwick
2016 Sustainable Surface Water Management  
Any opinions, findings, and conclusions or recommendations expressed are those of the authors and do not necessarily reflect the views of the Utah Agricultural Experiment Station and the National Science  ...  We thank the utility companies Aarhus Vand and HOFOR for their collaboration, and numerous reviewers for improving the manuscript.  ...  Table 3 . 3 Weights for ecosystem service variables(Table 1).  ... 
doi:10.1002/9781118897690.ch4 fatcat:3gizoj2cffdnjjekbemzydv7um

CFE-CMStatistics 2017 PROGRAMME AND ABSTRACTS 11th International Conference on Computational and Methodological Statistics (CMStatistics 2017) CMStatistics 2017 Co-chairs: CMStatistics 2017 Programme Committee

Ana Colubi, Erricos Kontoghiorghes, Marc Levene, Bernard Rachet, Herman Van, Dijk, Veronika Czellar, Hashem Pesaran, Mike Pitt, Stefan Sperlich, Knut Aastveit, Alessandra Amendola (+81 others)
forests.  ...  and regression problems, but one must choose between methods that are interpretable (such as CART) and those with high accuracy (random forests or boosting).  ...  Monte Carlo studies show that the in fill asymptotic theory performs better than the long-span asymptotic theory for cases where the long span theory is available and performs very well for cases where  ... 
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