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109 articles for “AI in finance”
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Performance Forecasting in Solo Sports: Leveraging Psychometrics, Economic Analysis, and Cultural Insights for Predictive Excellence
Abstract: The science of performance forecasting in solo sports has transcended traditional metrics, embracing a multidisciplinary approach. This paper explores the integration of psychometrics, economic analysis, and cultural insights to predict athletic success. By leveraging psychological profiling, economic factors, and cultural dynamics, this study aims to establish a comprehensive model for forecasting athlete performance with heightened accuracy. In the realm of solo sports, where individual prowess dictates success, traditional performance forecasting …
Published in Recent Trends in Sports · Vol. 1, Issue 1, 2024 · pp. 35–44 Read article
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Divorced Women Attitudes Towards Remarriage: A Qualitative Approach
Abstract: The current study aimed to investigate the attitudes of divorced women regarding remarriage and to comprehend the diverse factors that shape their viewpoints. The research population comprised divorced women, and a purposive sampling method was employed to select participants. Data were collected from ten divorced women through semi-structured interviews, allowing for in-depth exploration of personal experiences and viewpoints. A qualitative research design was adopted to capture the complexity of individual …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 1–14 Read article
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Cloud-driven Fraud Detection: Evaluating Decision Tree and Random Forest Classifiers for Credit Card Transaction Security
Abstract: With the alarming rise in global financial fraud, necessitating substantial annual losses, modern techniques for fraud detection are continuously evolving across various business domains. Fraud detection involves constant monitoring of user activities to estimate, perceive, or prevent undesirable behaviour. Cloud Computing emerges as a promising solution, accelerating application deployment, fostering creativity and innovation, reducing costs, and enhancing overall business acumen. This study introduces a cloud-driven approach to fraud detection, specifically …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 13–27 Read article
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Exploring Gender Differences in Mental Health: Attitudes towards Help-Seeking and Service Utilization
Abstract: Mental health is a complex topic that requires understanding of gender disparities in the use of mental health services and the behavior of seeking assistance. Development of legislation and initiatives aiming at raising awareness and availability of mental health care depends on this knowledge. Maintaining healthy relationships, limiting disease development, managing symptoms, increasing production, and fighting cultural prejudice all depend on mental health therapies. Gender expectations, socialising, stigma, and the …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 2, 2024 · pp. 10–17 Read article
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Reusing Waste Plastics to Enhance Flexible Pavement Performance
Abstract: The disposal of plastic garbage Plastic products including cold drink bottles, carry bags, chocolate and chip wrappers, and all other types of plastic produce serious environmental and financial issues. These plastic types use a lot of energy and deplete the environment in a number of ways. Plastics are non-biodegradable, resulting in long-term environmental pollution and contributing to hazards such as microplastic contamination, marine debris, and threats to wildlife. Additionally, the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 173–183 Read article
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Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
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Energy Policies and Investments Around Solar & Wind Energy in India: A Review
Abstract: India is a fast-moving economy and in this race of making our country a world power India is moving aggressively towards attaining its commitment to renewable energy goals. Our country India set an ambitious target of achieving 175 GW of renewable energy volume by 2022 and aim to achieve 500 GW by 2030. Bharat has in mind to move toward the Two Degree Celsius climate change objective under Nationally Determined …
Published in International Journal of Sustainability · Vol. 1, Issue 1, 2024 · pp. 21–29 Read article
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Analysis of the coffee market structure, conduct, and performance in the Gimbo District of the Kaffa Zone in Southwest Ethiopia
Abstract: Coffee is a vital export commodity for Ethiopia, contributing significantly to the country's GDP and rural livelihoods. In the Kaffa Zone, particularly in Gimbo District, coffee production serves as the primary source of income for smallholder farmers. Despite its economic importance, the coffee market in the study area faces several constraints, including low production capacity and inadequate market infrastructure. This study aimed to identify key actors in the coffee market …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 63–81 Read article
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Animal Detection in Farms Using Opencv
Abstract: Agriculture plays a fundamental role in sustaining the Indian economy, providing employment and livelihood to a large portion of the population. Despite advancements in farming techniques, one of the persistent challenges faced by farmers is the intrusion of wild animals into agricultural fields. Such intrusions often lead to large-scale crop damage, financial loss, and emotional distress for farmers. Traditional animal deterrent methods, such as manual patrolling, fences, or scarecrows, have …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 Read article