USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

“…Moreover, federated learning systems present a promising solution for ensuring privacy and security when dealing with sensitive financial data. …”
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Real-Time Tracking of Diagnostic Discrepancies in Electronic Health Records for Improved Predictive Modeling by Elizabeth A. Trader, Varadraj P. Gurupur

“…By addressing the current lack of accessible diagnostic discrepancy data, the schema lays a foundation for more effective analysis, better patient outcomes, and improved use of machine learning in healthcare. …”
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Using Digital Phenotyping to Discriminate Unipolar Depression and Bipolar Disorder: Systematic Review by Rongrong Zhong, XiaoHui Wu, Jun Chen, Yiru Fang

“…Digital phenotyping, which involves using data from smartphones or other digital devices to assess mental health, has emerged as a promising tool for distinguishing between these two disorders. …”
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Multi-Modal Comparative Analysis on Audio Dub Detection Using Artificial Intelligence by Divya Jennifer Dsouza, Anisha P. Rodrigues, Roshan Fernandes

“…The audio files are segmented using libROSA, the Python package for analysis of music and audio files. …”
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Insights Gained from Using AI to Produce Cases for Problem-Based Learning by Enjy Abouzeid, Patricia Harris

“…ChatGPT respects patient data privacy and confidentiality by abstaining from providing scanned images, and while AI can generate discussion questions for tutorials, it may require modification to enhance specificity and provoke critical thought. …”
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Generative AI on professional development: a narrative inquiry using TPACK framework by Buddhi Laxmi Lakhe Shrestha, Niroj Dahal, Md. Kamrul Hasan, Santosh Paudel, Hiralal Kapar

“…However, challenges such as technical skill gaps, ethical concerns about data privacy, and the risk of over-reliance on AI, which may hinder critical thinking and teacher-student rapport, were identified. …”
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An Insight on the Timely Diagnosis of Diabetic Retinopathy Using Traditional and AI-Driven Approaches by Malaika Asif, Fasih Ur Rehman, Zoya Rashid, Altaf Hussain, Alina Mirza, Waqar Shahid Qureshi

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Artificial Intelligence in Education: Analysis and Assessment of Legal Knowledge Using AI Tools by Anvar J. Khurramov, Mavluda A. Axmedshaeva, Fiyuza A. Mukhitdinova, Gulnora A. Xudayberdiyeva, Shahnoza S. Almosova, Makhmud M. Makhamatov, Sherzod R. Khayitov

“…The study examined ethical concerns such as algorithmic bias, transparency, and student privacy, as well as legal dimensions related to consent, data protection, and institutional responsibility. …”
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Data Confidentiality in Artificial Intelligence-Assisted Medicine: The Main Ethical Issue by Raluca DUMACHE, Camelia MURESAN, Marina Adriana MERCIONI, Alin IONESCU, Nina IVANOVIC, Alexandra ENACHE

“…Although there are many potential advantages of using AI to enhance medical care, they must be weighed against potential risks to patient privacy and data security. …”
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Securing gait recognition with homomorphic encryption by Marina Banov, Domagoj Pinčić, Diego Sušanj, Kristijan Lenac

“…At the same time, they raise significant privacy concerns because compromised biometric data cannot be revoked. …”
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Balancing public safety and civil rights: Successes and challenges of AI-based video surveillance systems by S.S. Vaddiparti, F. Babaiev

“…AI-powered video analytics has had a profound impact on the right to privacy, particularly due to the mass collection of biometric data and automated profiling, sparking debate over compliance with international standards such as the General Data Protection Regulation and the Convention for the Protection of Human Rights. …”
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Assessing the Guidelines on the Use of Generative Artificial Intelligence Tools in Universities: A Survey of the World’s Top 50 Universities by Midrar Ullah, Salman Bin Naeem, Maged N. Kamel Boulos

“…These instructions encompassed securing instructor consent before utilization, identifying appropriate and inappropriate instances for deployment, employing suitable strategies in classroom settings and assessment, appropriately integrating results, acknowledging and crediting GenAI tools, and adhering to data privacy and security measures. However, our study found that only a small number of the retrieved guidelines offered instructions on the AI algorithm (understanding how it works), the documentation of prompts and outputs, AI detection tools, and mechanisms for reporting misconduct. …”
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OPPORTUNITIES AND RISKS OF USING AI-BASED APPLICATIONS IN RESEARCH:  THE CASE OF UKRAINIAN UNIVERSITIES by Oleksandra Borodiyenko, Iryna Drach, Nataliia Bazeliuk, Olha Petroye, Iryna Reheilo, Oleksandr Bazeliuk, Olena Slobodianiuk

“…However, respondents did not express major concerns regarding ethical issues like data privacy, ghost authorship, or dishonesty and irresponsibility in the use of AI systems. …”
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Facebook as a Surveillance Tool: From the Perspective of the User by Ekaterina Petrovna Netchitailova

“…With the increasing use of online social networks such as Facebook in recent years, a lot of research has been focussing on the privacy issue of the network. …”
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From Tweets to Threats: A Survey of Cybersecurity Threat Detection Challenges, AI-Based Solutions and Potential Opportunities in X by Omar Alsodi, Xujuan Zhou, Raj Gururajan, Anup Shrestha, Eyad Btoush

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A Digital Twin Comprehensive Monitoring System for Ship Equipment by Miao Zhe, Zhao Yong, Su Shaojuan, Song Nanzhe

“…In this study, a comprehensive digital twin monitoring system for ship equipment was designed and implemented, including the system architecture, key technologies, and applications. Through data-driven models and operational monitoring system analysis, our PSO-SVM-based time series prediction method demonstrated excellent predictive capabilities for catamaran equipment, achieving efficient fault warnings using a threshold method. …”
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The impact of artificial intelligence on behavioral intentions to use mobile banking in the post-COVID-19 era by Johannes Schrank, Johannes Schrank

“…Data has been collected from 412 respondents in Thailand, and structural equation modeling has been employed for the data analysis.ResultsThe findings reveal significant positive effects of performance expectancy, effort expectancy, social influence, facilitating conditions, trust, perceived privacy, perceived intelligence and anthropomorphism of AI on users’ behavioral intentions to use mobile banking. …”
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PRE-SERVICE TEACHERS' PERCEPTIONS OF THE USE OF GENAI AND TRADITIONAL GRAMMAR-CHECKING TOOLS FOR ENGLISH WRITING by Tiara Putri, Rahmah Fithriani

“…Ethical concerns, particularly regarding data privacy and originality, are also identified. …”
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HP_FLAP: homomorphic and polymorphic federated learning aggregation of parameters framework by Mohammad Moshawrab, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim, Ali Raad

“…Abstract Protecting user privacy is essential in machine learning research, especially in the context of data collection. …”
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Political Factors in Global Communication Platforms: Pavel Durov’s Case by Choi Keunwon, Zotova Tatyana Andreevna

“…The French authorities applied institutional pressure by using institutional advantages to achieve control over the private data of Telegram users. …”
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