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Geoscience Frontiers 2024年第3期15卷 259-271页

作者： Suleman Sarwar Ghazala Aziz Aviral Kumar Tiwari department of Finance and Economics College of BusinessUniversity of JeddahJeddahSaudi Arabia department of business Administration College of Administrative and Financial SciencesSaudi Electronic UniversityJeddahSaudi Arabia Indian Institute of management BodhgayaIndia

The current study examines the significant determinants of electricity consumption and identifies an appropriate model to forecast the electricity price *** main contribution is focused on eastern region of Saudi Arabia,a relatively hottest geographical area full of energy resources but with different electricity consumption *** relative irrelevance of temperature as predicting factor of electricity consumption is quite surprising and contradicts the previous *** the eastern region,electricity price has negative association with electricity *** comparing traditional and machine learning,it is found that machine learning techniques offer better *** the machine learning techniques,the support vector machine has the lowest errors in forecasting the electricity ***,the support vector machine approach is used to forecast the trend of carbon emissions caused by electricity *** findings have policy implications and offer valuable suggestions to policymakers while addressing the determinants of electricity consumption and forecasting electricity prices.

关键词： Electricity consumption Carbon emission Artificial neural network Support vector machine Saudi Arabia

Intercultural Trust in Global Contexts:Synthesizing a Western Nomological Approach with a Chinese Systems Approach

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Journal of Systems Science and Systems Engineering 2024年第2期33卷 162-186页

作者： Rong Du Mingqian Li Shizhong Ai Cathal MacSwiney Brugha Uirike Reisach School of Economics and management Xidian UniversityXi'an 710071China UCD School of business University College DublinDublinIreland Information management department Neu-Ulm University of Applied SciencesBavariaGermany

Intercultural trust in global contexts plays a central role in helping people from different cultures to communicate comfortably,which is essential for *** to construct a framework that might foster international cooperation,and thus be helpful for coping with global emergencies,we relate a Western nomological approach to an Eastern systems approach to analyse intercultural trust in global *** cultural impacts on intercultural trust and the nomological framework of cultural differences,we propose an intercultural trust model to interpret how cultural differences influence trust.A qualitative study of Chinese-Irish interactions was conducted to interpret this *** organized 10 seminars on intercultural trust,and interviewed 16 people to further explore the respondents'deeper feelings and experiences about intercultural trust in global *** this study,we have identified factors impacting on intercultural trust,and found that intercultural trust can be developed and improved in various *** llustrate these ways,we have provided tactics and methods for building intercultural trust in global *** are highlighted for organizations to avoid cultural clashes and relevant political or economic risks.

关键词： Intercultural trust global contexts systems approach Western approach Chinese approach

Applicability of denoising-based artificial intelligence to forecast the environmental externalities

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Geoscience Frontiers 2024年第3期15卷 469-483页

作者： Dongsheng Cai Ghazala Aziz Suleman Sarwar Majid Ibrahim Alsaggaf Avik Sinha The college of Nuclear Technology and Automation Engineering Chengdu University of TechnologySichuan Province 610059China department of business Administration College of Administrative and Financial SciencesSaudi Electronic UniversityJeddahSaudi Arabia department of Finance and Economics College of BusinessUniversity of JeddahJeddahSaudi Arabia management Development Institute Gurgaon India

The current study attempts to compare the hybrid artificial intelligence models to forecast the environmental externalities in Saudi *** have used the denoising based artificial intelligence models to construct hybrid *** comparing the denoising techniques,the CSD-based denoising has ***,we have used the CSD-based hybrid ***-ANN and CSD-RNN are used for denoising-based artificial intelligence models,whereas CSD-ARIMA is used for denoising-based traditional *** these models are used to check and compare their performance in terms of level and direction of prediction for PM_(10).The results show that the CSD-based ANN model has a higher predictability for PM_(10) levels in Saudi Arabia due to low error values and higher Dstat *** comparing original and forecasted data,the superiority of CSD-ANN is evident in predicting the PM_(10) in Saudi ***,this hybrid model can predict the environmental externalities for non-linear and highly noised ***,the findings can be useful in achieving the sustainable development goal.

关键词： Hybrid artificial intelligence Forecasting Saudi Arabia Environment PM_(10)

Recent Developments in Authentication Schemes Used in Machine-Type Communication Devices in Machine-to-Machine Communication: Issues and Challenges

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Computers, Materials & Continua 2024年第4期79卷 93-115页

作者： Shafi Ullah Sibghat Ullah Bazai Mohammad Imran Qazi Mudassar Ilyas Abid Mehmood Muhammad Asim Saleem Muhmmad Aasim Rafique Arsalan Haider Ilyas Khan Sajid Iqbal Yonis Gulzar Kauser Hameed department of Computer Engineering Balochistan University of Information TechnologyEngineering and Management SciencesQuetta87300Pakistan department of Information Technology Balochistan University of Information TechnologyEngineeringand Management SciencesQuetta87300Pakistan department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia department of management Information Systems College of Business AdministrationKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia department of Software Engineering College of ComputingRiphah International UniversityFaisalabad44000Pakistan department of Electrical Engineering Balochistan University of Information Technology Engineeringand Management SciencesQuetta87300Pakistan department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia

Machine-to-machine (M2M) communication plays a fundamental role in autonomous IoT (Internet of Things)-based infrastructure, a vital part of the fourth industrial revolution. Machine-type communication devices(MTCDs) regularly share extensive data without human intervention while making all types of decisions. Thesedecisions may involve controlling sensitive ventilation systems maintaining uniform temperature, live heartbeatmonitoring, and several different alert systems. Many of these devices simultaneously share data to form anautomated system. The data shared between machine-type communication devices (MTCDs) is prone to risk dueto limited computational power, internal memory, and energy capacity. Therefore, securing the data and devicesbecomes challenging due to factors such as dynamic operational environments, remoteness, harsh conditions,and areas where human physical access is difficult. One of the crucial parts of securing MTCDs and data isauthentication, where each devicemust be verified before data transmission. SeveralM2Mauthentication schemeshave been proposed in the literature, however, the literature lacks a comprehensive overview of current M2Mauthentication techniques and the challenges associated with them. To utilize a suitable authentication schemefor specific scenarios, it is important to understand the challenges associated with it. Therefore, this article fillsthis gap by reviewing the state-of-the-art research on authentication schemes in MTCDs specifically concerningapplication categories, security provisions, and performance efficiency.

关键词： Authentication cyber security internet of things machine-type communication devices machine-to-machine communication

Relevance of hybrid artificial intelligence for improving the forecasting accuracy of natural resource prices

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Geoscience Frontiers 2024年第3期15卷 431-446页

作者： Mei Li Rida Waheed Dervis Kirikkaleli Ghazala Aziz School of management and Economics and Shenzhen Finance Institute The Chinese University of Hong KongShenzhen(CUHK-Shenzhen)China department of Finance and Economics College of BusinessUniversity of JeddahJeddahSaudi Arabia European University of Lefke Faculty of Economic and Administrative ScienceDepartment of Banking and FinanceLefkeTurkey department of business Administration College of Administrative and Financial SciencesSaudi Electronic UniversityJeddahSaudi Arabia

The prediction performance of traditional forecasting methods is low due to the high level of complexity in a series of energy *** present study attempts to compare the traditional regression,machine learning tools and hybrid models to conclude the outperforming *** first step is to propose the effective denoising technique for Tadawul energy index,which has confirmed the superiority of CSD based ***,we use the CSD-ARIMA,CSD-ANN,and CSD-RNN as hybrid *** a result,CSD-RNN outperforms both other models in terms of MSE,MAPE,RMSE and *** findings are useful for policy makers,investors and portfolio managers to forecast the energy trends,and hedge the portfolio risk accordingly.

关键词： Hybrid artificial intelligence CSD denoising technique Forecasting Energy prices Saudi Arabia

Phishing Attacks Detection Using EnsembleMachine Learning Algorithms

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Computers, Materials & Continua 2024年第7期80卷 1325-1345页

作者： Nisreen Innab Ahmed Abdelgader Fadol Osman Mohammed Awad Mohammed Ataelfadiel Marwan Abu-Zanona Bassam Mohammad Elzaghmouri Farah H.Zawaideh Mouiad Fadeil Alawneh department of Computer Science and Information Systems College of Applied SciencesAlmaarefa UniversityDiriyahRiyadh13713Saudi Arabia Applied college King Faisal UniversityAl-Ahsa31982Saudi Arabia department of management Information Systems College of Business AdministrationKing Faisal UniversityAl-Ahsa31982Saudi Arabia department of Computer Science Faculty of Computer Science and Information TechnologyJerash UniversityJerash26110Jordan department of business Intelligence and Data Analysis Faculty of Financial Sciences and BusinessIrbid National UniversityIrbid21110Jordan Faculty of Information Technology Ajloun National UniversityAjloun26767Jordan

Phishing,an Internet fraudwhere individuals are deceived into revealing critical personal and account information,poses a significant risk to both consumers and web-based *** indicates a persistent rise in phishing ***,these fraudulent schemes are progressively becoming more intricate,thereby rendering them more challenging to ***,it is imperative to utilize sophisticated algorithms to address this *** learning is a highly effective approach for identifying and uncovering these harmful *** learning(ML)approaches can identify common characteristics in most phishing *** this paper,we propose an ensemble approach and compare it with six machine learning techniques to determine the type of website and whether it is normal or not based on two phishing *** that,we used the normalization technique on the dataset to transform the range of all the features into the same *** findings of this paper for all algorithms are as follows in the first dataset based on accuracy,precision,recall,and F1-score,respectively:Decision Tree(DT)(0.964,0.961,0.976,0.968),Random Forest(RF)(0.970,0.964,0.984,0.974),Gradient Boosting(GB)(0.960,0.959,0.971,0.965),XGBoost(XGB)(0.973,0.976,0.976,0.976),AdaBoost(0.934,0.934,0.950,0.942),Multi Layer Perceptron(MLP)(0.970,0.971,0.976,0.974)and Voting(0.978,0.975,0.987,0.981).So,the Voting classifier gave the best *** in the second dataset,all the algorithms gave the same results in four evaluation metrics,which indicates that each of them can effectively accomplish the prediction ***,this approach outperformed the previous work in detecting phishing websites with high accuracy,a lower false negative rate,a shorter prediction time,and a lower false positive rate.

关键词： Social engineering attacks phishing attacks machine learning security artificial intelligence

Integrating HPWS and Organisational Memory for Enhanced Employee Performance

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Fudan Journal of the Humanities and Social sciences 2024年第3期17卷 479-506页

作者： Moaz Gharib Kamaal Allil department of management College of Commerce and Business AdministrationDhofar UniversitySalalahOman Hertfordshire business School University of HertfordshireHatfieldHertfordshireUK

This research paper investigates the relationship between high-performance work systems(HPWS),organisational memory,and employee in-role performance,focus-ing on the direct impact of HPWS on different dimensions of organisational memory and employee in-role performance,as well as the mediating role of organisational memory in this *** a sample of employees working in the tele-communications industry,the study employed structural equation modelling to ana-lyse the relationships among HPWS,organisational memory,and employee in-role *** findings revealed that HPWS positively influence all three dimen-sions of organisational memory and employee in-role performance,with organisa-tional memory partially mediating the relationship between HPWS and employee in-role ***,the study was limited to the telecommunications industry and Dhofar region and did not examine the potential moderating effects of individual-level or contextual factors on the relationships among HPWS,organisa-tional memory,and employee in-role *** study offers practical impli-cations for organizations seeking to improve employee performance and overall effectiveness by highlighting the importance of implementing high-performance work systems and managing organisational memory *** study contrib-utes to the literature on the relationships among HPWS,organisational memory,and employee in-role performance,providing valuable insights into the dynamics of organisational effectiveness.

关键词： High-performance work systems Employee in-role performance Managerial memory Technical memory Cultural memory

Global export flow of Chilean copper:The role of environmental innovation and renewable energy transition

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Geoscience Frontiers 2024年第3期15卷 336-345页

作者： Shujaat Abbas Najia Saqib Umer Shahzad Graduate School of Economics and management Ural Federal UniversityRussian Federation Brandenburg University of Technology Chair of Energy EconomicsGermany Adnan Kassar School of business Lebanese American UniversityBeirutLebanon MEU Research Unit Middle East UniversityAmmanJordan department of Finance College of Business AdministrationPrince Sultan UniversityRiyadhSaudi Arabia department of Trade and Finance Faculty of Economics and ManagementCzech University of Life Sciences Prague

Copper is one of the most important minerals that has extensive use in environment-friendly technologies and renewable energy *** global urgency for environmental and ecological conservation through renewable energy transition has considerably enhanced the importance of copper and articles *** is a major producer of *** contributes more than one-third to global ***,this study explores the export flow of Chilean copper in response to increasing demand side conditions in major 24 trading partners from 2002 to *** objective is realized by constructing an augmented model for import demand that incorporates bilateral real exchange rate along with real GDP,environmental innovation,and renewable energy transition in major import *** estimated results of panel quantiles via moments techniques reveal a significant positive impact with increasing coefficients at higher quantiles,while environmental innovation and renewable energy transition in trading partners show significant positive impact with decreasing values of coefficients at higher *** findings urge Chile to enhance production capacity of copper and other critical mineral and improve participation in global value chain to meet sharply increasing copper demand from environmental innovation and renewable energy transition.

关键词： Copper Export flow Renewable energy Environmental innovation Panel data Quantiles via moments

The Lambert-G Family:Properties,Inference,and Applications

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Computer Modeling in Engineering & sciences 2024年第7期140卷 513-536页

作者： Jamal N.Al Abbasi Ahmed Z.Afify Badr Alnssyan Mustafa S.Shama Accounting department Ashur UniversityBaghdad10011Iraq department of Statistics Mathematics and InsuranceBenha UniversityBenha13511Egypt department of management Information Systems and Production management College of Business and EconomicsQassim UniversityBuraydah51452Saudi Arabia department of Basic sciences Common First Year(CFY)King Saud UniversityRiyadh11362Saudi Arabia department of Mathematics and Statistics Osim Higher Institute of Administrative ScienceOsim12961Egypt

This study proposes a new flexible family of distributions called the Lambert-G *** Lambert family is very flexible and exhibits desirable *** three-parameter special sub-models provide all significantmonotonic and non-monotonic failure rates.A special sub-model of the Lambert family called the Lambert-Lomax(LL)distribution is *** expressions for the LL statistical properties are *** of the LL distribution are addressed mathematically based on its hazard *** estimation of the LL parameters is discussed using six estimation *** performance of this estimation method is explored through simulation *** usefulness and flexibility of the LL distribution are demonstrated empirically using two real-life data *** LL model better fits the exponentiated Lomax,inverse power Lomax,Lomax-Rayleigh,power Lomax,and Lomax distributions.

关键词： Lambert function Lomax distribution maximum likelihood hazard function statistical model simulation

An Integrated Bipolar Picture Fuzzy Decision Driven System to Scrutinize Food Waste Treatment Technology through Assorted Factor Analysis

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Computer Modeling in Engineering & sciences 2024年第9期140卷 2665-2687页

作者： Navaneethakrishnan Suganthi Keerthana Devi Samayan Narayanamoorthy Thirumalai Nallasivan Parthasarathy Chakkarapani Sumathi Thilagasree Dragan Pamucar Vladimir Simic Hasan Dinçer Serhat Yüksel department of Mathematics Bharathiar UniversityCoimbatore641046India department of Mathematics Sri Ramakrishna Mission Vidyalaya College of Arts and ScienceCoimbatore641020India department of Operations Research and Statistics Faculty of Organizational SciencesUniversity of BelgradeBelgrade11000Serbia college of Engineering Department of Industrial Engineering and ManagementYuan Ze UniversityTaoyuan City320315TaiwanChina Faculty of Transport and Traffic Engineering University of BelgradeVojvode Stepe 305Belgrade11000Serbia department of Computer Science and Engineering College of InformaticsKorea UniversitySeoul02841Republic of Korea School of business Istanbul Medipol UniversityIstanbul34083Turkey department of Economics and management Khazar UniversityBakuAzerbaijan

Food Waste(FW)is a pressing environmental concern that affects every country *** one-third of the food that is produced ends up as waste,contributing to the carbon ***,the FW must be properly treated to reduce environmental *** study evaluates a few available Food Waste Treatment(FWT)technologies,such as anaerobic digestion,composting,landfill,and incineration,which are widely used.A Bipolar Picture Fuzzy Set(BPFS)is proposed to deal with the ambiguity and uncertainty that arise when converting a real-world problem to a mathematical model.A novel Criteria Importance Through Intercriteria Correlation-Stable Preference Ordering Towards Ideal Solution(CRITIC-SPOTIS)approach is developed to objectively analyze FWT selection based on thirteen criteria covering the industry’s technical,environmental,and entrepreneurial *** CRITIC method is used for the objective analysis of the importance of each criterion in FWT *** SPOTIS method is adopted to rank the alternative hassle-free,following the *** proposed model offers a rank reversal-free model,i.e.,the rank of the alternatives remains unaffected even after the addition or removal of an *** addition,comparative and sensitivity analyses are performed to ensure the reliability and robustness of the proposed model and to validate the proposed result.

关键词： Fuzzy food waste treatment selection bipolar picture fuzzy set and decision-making