Application of Artificial Intelligence for Better Investment in Human Capital

Article Green & Sustainable Science & Technology

Our New Artificial Intelligence Infrastructure: Becoming Locked into an Unsustainable Future

Scott Robbins et al.

Summary: Artificial intelligence is becoming an increasingly important infrastructure for various sectors, but the potential environmental consequences and the risk of lock-in should be carefully considered.

SUSTAINABILITY (2022)

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Article Computer Science, Information Systems

Developing Cybersecurity Systems Based on Machine Learning and Deep Learning Algorithms for Protecting Food Security Systems: Industrial Control Systems

Hasan Alkahtani et al.

Summary: This research proposes an anomaly detection method for detecting cyberattacks in industrial control systems (ICSs) using artificial intelligence algorithms. The methodology incorporates various machine learning algorithms and deep learning networks, and was tested on real ICS datasets. The results demonstrate that the KNN and DT algorithms outperformed existing systems with high accuracy in binary classification and multiclass classification.

ELECTRONICS (2022)

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Article Green & Sustainable Science & Technology

Drivers of Artificial Intelligence and Their Effects on Supply Chain Resilience and Performance: An Empirical Analysis on an Emerging Market

Mengmeng Wang et al.

Summary: Based on survey data collected from Chinese firms, this study finds that the relative advantages of enterprise artificial intelligence technology, supply chain collaboration, and environmental uncertainty are the three major factors affecting the adoption of artificial intelligence technology, which subsequently have a positive impact on supply chain resilience and supply chain performance.

SUSTAINABILITY (2022)

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Article Chemistry, Multidisciplinary

Users' Information Disclosure Behaviors during Interactions with Chatbots: The Effect of Information Disclosure Nudges

Laurie Carmichael et al.

Summary: This study explores the impact of question sensitivity and sensitivity signal on users' information disclosure behavior during user-chatbot interaction. The findings indicate that both question sensitivity and the presence of a sensitivity signal affect users' information disclosure behavior.

APPLIED SCIENCES-BASEL (2022)

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Article Chemistry, Analytical

Artificial Intelligence Algorithm-Based Economic Denial of Sustainability Attack Detection Systems: Cloud Computing Environments

Theyazn H. H. Aldhyani et al.

Summary: Cloud computing is the most cost-effective means of providing online IT services, but it is also prone to new flaws such as economic denial of sustainability attacks (EDoS), which exploit the pay-per-use paradigm to generate unanticipated usage charges. To mitigate EDoS attacks, this research presents an effective approach using machine and deep learning algorithms. The proposed algorithms outperformed existing systems in terms of accuracy and are essential for improving cloud computing service provider security.

SENSORS (2022)

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Article Green & Sustainable Science & Technology

Do Strategic Human Resources and Artificial Intelligence Help to Make Organisations More Sustainable? Evidence from Non-Governmental Organisations

Amal Alnamrouti et al.

Summary: This study examines the impact of organizational learning and corporate social responsibility on the sustainability of non-governmental organizations' performance using strategic resource management practices and artificial intelligence. The findings demonstrate that organizational learning, artificial intelligence, strategic human resource management practices, and corporate social responsibility contribute positively to the long-term viability of non-governmental organizations.

SUSTAINABILITY (2022)

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Article Environmental Sciences

Human Personality Is Associated with Geographical Environment in Mainland China

Liang Xu et al.

Summary: Recent psychological research has shown that the places where we live are linked to our personality traits. This study investigates the relationship between the Big Five personality traits and mountainousness indicators in Mainland China. The results reveal significant associations between mountainousness indicators and personality traits, highlighting cultural differences in personality expression.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2022)

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Article Green & Sustainable Science & Technology

The Role of Big Five Personality Traits in Explaining Pedestrian Anger Expression

Kayvan Aghabayk et al.

Summary: The current study evaluated pedestrian anger expression and its contributing factors, including demographics, travel habits, and the big five personality traits. The results revealed the impact of different variables on anger expression among pedestrians, providing insights into the relationship between pedestrian behavior and personality characteristics.

SUSTAINABILITY (2022)

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Article Computer Science, Information Systems

User OCEAN Personality Model Construction Method Using a BP Neural Network

Xiaomei Qin et al.

Summary: In the era of big data, analyzing user behavior patterns on social networking sites can predict their personality models and improve the accuracy and efficiency of predictions.

ELECTRONICS (2022)

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Article Computer Science, Information Systems

Performance Investigation of Principal Component Analysis for Intrusion Detection System Using Different Support Vector Machine Kernels

Mohammed Amin Almaiah et al.

Summary: This paper presents a research model for an intrusion detection system based on Principal Component Analysis feature selection technique and different Support Vector Machine kernel classifiers. The impact of various kernel functions in SVM is investigated, and the performance of the investigation model is evaluated using multiple metrics. The results show that the Gaussian radial basis function kernel outperforms other kernels in terms of accuracy, sensitivity, and F-measure on both datasets.

ELECTRONICS (2022)

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Article Computer Science, Information Systems

Bitcoin Price Forecasting and Trading: Data Analytics Approaches

Abdullah H. Al-Nefaie et al.

Summary: This paper introduces prediction models that utilize artificial intelligence and deep learning to forecast bitcoin prices, with the MLP model demonstrating highly efficient regression. The findings are important for evaluating asset pricing of digital currencies and establishing stability in cryptocurrency markets.

ELECTRONICS (2022)

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Article Health Care Sciences & Services

Occupational Stress and Personality in Medical Doctors from Romania

Lorena Mihaela Muntean et al.

Summary: Occupational stress among doctors has been studied in relation to personality dimensions, particularly agreeableness and emotional stability. This study found statistically significant associations between these personality dimensions and various stress factors at work.

HEALTHCARE (2022)

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Article Environmental Sciences

Big Five Personality Traits, Coping Strategies and Compulsive Buying in Spanish University Students

Jose Manuel Otero-Lopez et al.

Summary: Personality traits and coping strategies play important roles in compulsive buying behavior among university students. Findings indicate that factors such as being female, neuroticism, problem avoidance, and wishful thinking increase the risk of compulsive buying, while active coping strategies and conscientiousness decrease the likelihood of developing compulsive buying tendencies. Possible guidelines are provided for prevention and intervention in compulsive buying behaviors among young adults.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2021)

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Article Engineering, Multidisciplinary

Internet plus Artificial Intelligence Human Resource Information Management System Construction Innovation and Research

Zhen Zeng et al.

Summary: Human resources are crucial for operational success and optimizing human resource information management is essential for improving business efficiency. Utilizing Internet and artificial intelligence technology can effectively enhance human resource allocation efficiency, leading to increased operational efficiency and economic returns for enterprises.

MATHEMATICAL PROBLEMS IN ENGINEERING (2021)

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Article Imaging Science & Photographic Technology

Feature Selection Using Correlation Analysis and Principal Component Analysis for Accurate Breast Cancer Diagnosis

Sara Ibrahim et al.

Summary: This research aims to improve breast cancer classification by selecting features using correlation analysis and principal component analysis, enhancing performance through ensemble methods, and evaluating and tuning classifiers with high precision and recall values. The proposed approach outperformed existing methods with an accuracy of 98.24% and demonstrated the importance of advanced diagnostic techniques in personalized cancer care.

JOURNAL OF IMAGING (2021)

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Review Computer Science, Information Systems