Published: Sept. 18, 2024
Language: Английский
Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(4), P. 1502 - 1523
Published: April 26, 2024
Human trafficking is a pervasive and complex crime that affects millions of people worldwide. In recent years, there has been growing recognition the need for proactive approaches to prevention victim reintegration. Predictive analytics, data-driven technology uses algorithms analyze patterns predict future outcomes, holds great promise in this regard. This review explores application predictive analytics reintegration, highlighting its potential enhance support victims improve overall outcomes. can play crucial role by identifying trends may indicate activities. By analyzing data from various sources, such as social media, financial transactions, law enforcement records, help identify high-risk areas individuals, enabling agencies NGOs take measures prevent trafficking. For example, vulnerable populations, runaway youth or migrants, target efforts accordingly. context outcomes factors influence victim's likelihood successful reintegration into society. on education, employment, support, interventions are most likely rebuild their lives. types services, housing assistance job training, effective helping reintegrate Overall, revolutionize tailored specific needs victims. However, it important recognize not without challenges, including concerns about privacy ethical implications. Therefore, essential ensure used responsibly accordance with guidelines maximize benefits Keywords: Analytics, Trafficking, Prevention, Victim Reintegration, Systematic Review.
Language: Английский
Citations
20
Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(4), P. 1452 - 1472
Published: April 26, 2024
Virtual Private Networks (VPNs) play a crucial role in ensuring secure communication over public networks. This concept paper provides comprehensive review of security protocols used VPNs and their application modern The begins by defining explaining importance securing data transmission untrusted It then discusses the evolution VPN technology, highlighting transition from traditional IPSec SSL/TLS to more approaches such as WireGuard QUIC. also examines VPNs, including IPSec, SSL/TLS, newer like Each protocol is analyzed terms its features, performance, suitability for different use cases. Furthermore, explores networks, remote access, site-to-site connectivity, cloud-based services. challenges considerations involved deploying managing today's complex network environments. In conclusion, emphasizes highlights need organizations carefully evaluate requirements choose appropriate technologies protect Keywords: VPN, Security, Applications, Network.
Language: Английский
Citations
19
World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 22(1), P. 1250 - 1265
Published: April 26, 2024
Empowering youth through sexuality and leadership education is crucial for their holistic development well-being. This paper provides an overview of approaches outcomes related to empowering in these areas. Effective include comprehensive (CSE), youth-friendly services, peer education, training. CSE equips young people with accurate, age-appropriate information about sexuality, relationships, reproductive health, enabling them make informed decisions. Youth-friendly services provide confidential, nonjudgmental health tailored people's needs. Peer involves teaching peers sexual encouraging open dialogue. Leadership training fosters skills such as communication, decision-making, advocacy, become leaders communities. leads various positive outcomes. It improves outcomes, including reduced rates unintended pregnancies, sexually transmitted infections (STIs), HIV/AIDS. also promotes gender equality empowerment, learn rights how challenge harmful norms. Additionally, enhance self-esteem, communication skills, ability decisions, preparing future roles. essential By providing support, we can help navigate challenges, healthy choices, empowered
Language: Английский
Citations
13
World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 22(1), P. 1234 - 1249
Published: April 26, 2024
The intersection of public health and migration policy presents complex challenges in the context migrant crises. This abstract provides an overview analysis on integrated policy, focusing crafting effective responses to By examining key findings implications, it highlights critical importance addressing needs within frameworks. reveals that crises often exacerbate existing vulnerabilities, including limited access healthcare, inadequate sanitation facilities, heightened risks infectious diseases. Integrated approaches prioritize migrants are essential for mitigating these ensuring well-being both populations host communities. Key underscore adopting a comprehensive rights-based approach policy. involves recognizing migrants' right equitable healthcare services, regardless legal status or nationality. Furthermore, requires social determinants health, such as poverty, discrimination, exclusion, which disproportionately affect populations. Implications future research development include need greater collaboration coordination among stakeholders, government agencies, civil society organizations, international partners. Research gaps identified further investigation into specific groups, refugees, asylum seekers, undocumented migrants, well effectiveness different interventions meeting needs. In conclusion, is prioritizing approach, policymakers can mitigate negative impacts promote all individuals affected by urgency frameworks calls commitment equity human rights.
Language: Английский
Citations
13
Springer eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 323 - 334
Published: Jan. 1, 2025
Language: Английский
Citations
0
Advances in marketing, customer relationship management, and e-services book series, Journal Year: 2025, Volume and Issue: unknown, P. 101 - 132
Published: Jan. 24, 2025
Toward the current pace of development in Bancassurance industry, most important aspect is to understand consumers and improve their loyalty, order bear competition. The chapter discusses possibilities usage marketing analytics driven by AI transforming strategies companies towards satisfaction customers' preferences, behaviors, needs. also how such modeling consumer behavior enables providers alter offers customer engagement effectively through more predictive analytics. further presents ways which makes it easier group clients, develop appropriate strategies, provide better services ensure clients remain loyal over time. With help algorithm based databases, can formulate product logistics, manage client retention effectively, enhance loyalty aggressive even when doing business a digitalized hyper-competitive environment.
Language: Английский
Citations
0
Frontiers in Artificial Intelligence, Journal Year: 2025, Volume and Issue: 8
Published: April 9, 2025
This paper comprehensively reviews artificial intelligence (AI) applications in the insurance industry. We focus on automotive, health, and property domains. To conduct this study, we followed PRISMA guidelines for systematic reviews. rigorous methodology allowed us to examine recent academic research industry practices thoroughly. study also identifies several key challenges that must be addressed mitigate operational underwriting risks, including data quality issues could lead biased risk assessments, regulatory compliance requirements governance, ethical considerations automated decision-making, need explainable AI systems ensure transparent evaluation pricing models. review highlights important gaps by comparing studies with real-world implementations. It explores emerging areas where can improve efficiency drive innovation sector. The insights gained from work provide valuable guidance researchers, policymakers, practitioners.
Language: Английский
Citations
0
IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 505 - 530
Published: April 25, 2025
This chapter studies the impact of Artificial Intelligence (AI) technologies on customer relationships in financial industry. The opens with a subtopic intelligence-driven engagement and explains opportunity that clients have form AI to provide specific solutions for their needs. It then moves analyzing key components such as natural language processing (NLP) machine learning roles focusing interactions retrieving relevant information. effectiveness AI's potential assist designing precisely targeted promotional offers strengthen consumer relations service provision. Finally, looking ahead purpose future developments, namely considering trends enhancing client sector based much wider scope. We learned how can help become more client-centered, effective, ethically responsible.
Language: Английский
Citations
0
Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 73 - 108
Published: April 30, 2025
This study examines how Artificial Intelligence (AI) transforms insurance marketing strategies through machine learning and predictive analytics. We investigate the shift from traditional approaches to AI-enabled systems that deliver personalized solutions streamlined operations. The research develops validates AI-Powered Insurance Marketing Optimization Framework (AIMOF), integrating customer data analysis with dynamic recommendations automated workflows. Our findings demonstrate AI implementation improves cost efficiency retention while creating competitive advantages personalization faster response times. addresses challenges including quality, system complexity, regulatory compliance. provides strategic guidelines for organizations leveraging in operations maintaining ethical considerations an increasingly marketplace.
Language: Английский
Citations
0
International Journal of Advanced Economics, Journal Year: 2024, Volume and Issue: 6(8), P. 394 - 406
Published: Aug. 22, 2024
Predictive analytics has emerged as a powerful tool for businesses across various industries to build sustainable business models. This review provides insights into the significance of predictive in fostering sustainability and showcases case studies from different sectors where been effectively employed. enables anticipate future trends, identify potential risks, make data-driven decisions, thereby enhancing operational efficiency, improving customer experiences, driving growth. By leveraging historical data advanced statistical algorithms, organizations can gain valuable consumer behavior, market dynamics, processes. In retail industry, facilitates segmentation targeted marketing campaigns optimizes inventory management through demand forecasting. These initiatives result increased revenue, reduced costs, improved satisfaction. healthcare sector, aids disease prediction prevention, enabling early detection health risks proactive interventions. Additionally, models optimize hospital resource management, leading enhanced efficiency patient outcomes. Financial services leverage credit risk assessment, fraud detection, personalized financial services. accurately assessing creditworthiness, detecting fraudulent activities, offering tailored products, institutions mitigate improve regulatory compliance, enhance manufacturing is utilized maintenance supply chain optimization. reduces downtime costs by predicting equipment failures, while optimization improves sourcing, production, distribution processes, resulting streamlined operations profitability. Overall, integration fosters informed resources, meet evolving needs. highlight transformative impact building long-term success.. Keywords: Business Model, Analysis, Case Studies, Industries.
Language: Английский
Citations
3