Enhancing AES image encryption with a three-dimensional hyperchaotic system for increased security and efficiency. by Mingyi Huo, Yanpei Zheng, Jun Huang

“…In the digital era, the security of images, as critical carriers of information, is paramount for national security, military strategy, and personal privacy protection. Therefore, developing efficient and cost-effective image encryption technologies to ensure the security of image data during transmission has become an urgent necessity. …”
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Optimising TinyML with quantization and distillation of transformer and mamba models for indoor localisation on edge devices by Thanaphon Suwannaphong, Ferdian Jovan, Ian Craddock, Ryan McConville

“…The application of these TinyML models in healthcare has the potential to revolutionize patient monitoring by providing accurate, real-time location data while minimising power consumption, increasing data privacy, improving latency and reducing infrastructure costs.…”
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PENGAJARAN MISI BAGI JEMAAT KRISTEN DI ERA DIGITAL by Sandy Ariawan

“…The main challenges identified include the limitations of personal interactions that often lack depth in online contexts, as well as security and privacy issues relating to the protection of congregational data and the authenticity of information. …”
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Comprehensive review of dimensionality reduction algorithms: challenges, limitations, and innovative solutions by Aasim Ayaz Wani

“…Yet widely used methods like principal component analysis, t-distributed stochastic neighbor embedding, uniform manifold approximation and projection, and autoencoders are often applied as “black boxes,” neglecting interpretability, fairness, stability, and privacy. …”
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Harnessing real-world evidence in pharmacoeconomics: A comprehensive review by Bhatia Nitish

“…Regulatory perspectives from agencies like the Food and Drug Administration and European Medicines Agency, as well as ethical and privacy considerations are also reviewed. Emerging trends, such as the integration of artificial intelligence and patient-generated data, offer new opportunities for enhancing the use of RWE in healthcare. …”
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Exploring artificial intelligence for healthcare from the health professionals’ perspective: The case of limited resource settings by Mulugeta Desalegn Kasaye, Amare Gebrie Getahun, Mulugeta Hayelom Kalayou

“…Conclusions Our study revealed that positive attitude, good knowledge, and formal training are crucial to advance healthcare using AI technologies. In addition, this study identified self-reported AI concerns of the participants such as; privacy and security of data, ethical issues, and accuracy of AI systems. …”
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Problems and Prospects of Mobile Technologies in the Digital Space of Scientific Knowledge in Libraries by A. Yu. Gerasimenko

“…They are: financial constraints, inefficiency of the IT infrastructure, violation of the privacy and leakage of personal data, lack of qualified personnel, apathy of users. …”
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Elements of a Digital Urbanisation Strategy for Türkiye: Evidence from Psychometric Testing by Fatih Eren, Kübra Çay

“…The research indicates that an ideal grassroots-based digital urbanism strategy for Türkiye should focus on people, use technology to ease everyday activities, maintain personal data privacy, be adaptable, encourage diversity, provide freedom and opportunities, protect the city’s heritage, and strive for sustainability. …”
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An Unscented Kalman Filter-Based Method for Reconstructing Vehicle Trajectories at Signalized Intersections by Jiantao Mu, Yin Han, Cheng Zhang, Jiao Yao, Jing Zhao

“…Unfortunately, due to limitations of technology and privacy issues, the sampling frequency of the detected vehicle data is low and the coverage is also limited. …”
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Biometrics and the metaphysics of personal identity by Amy Kind

“…Philosophical scrutiny has already been devoted to many of the relevant ethical and political issues, especially ones arising from matters of privacy, bias, and security in data collection. But philosophers have devoted surprisingly little attention to the relevant metaphysical issues, in particular, ones concerning matters of personal identity. …”
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Money Laundering Practices and Singapore’s Steps Against Indonesian Tax Amnesty by Septyanto Galan Prakoso, Royce Kharisma Agung Wibowo, Nadia Dian Ardita, Ferdian Ahya Al Putra, Retnaningtyas Puspitasari

“…Eitemen and Money Laundering Concept itself. This paper uses an explanative qualitative method, and a literature study to obtain the data to strengthen this paper. …”
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Teachers and Learners’ Perceptions about Implementation of AI Tools in Elementary Mathematics Classes by Xuejing Song, Joonkong Mak, Haowei Chen

“…Apart from several advantages, the findings highlighted few reservations about technological issues and ethical privacy concerns. However, the data analysis concludes AI tools implementation visibly enhance elementary mathematics classroom performance with the help of appropriate technology training and reasonable resources. …”
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Patient-Centric Approach to Personalized Electronic Medical Records via QR Code in Japan by Yoshihiko Izumida, Takashi Omura, Masahiro Fujiwara, Shoko Nukaya, Akio Yoneyama, Sow Boubacar, Shinichiro Yabe, Rika Noguchi, Shima Nakayama, Wataru Muraoka, Yuki Okuno, Sho Miyashita, Yurika Ishihara, Yuto Moriwaki, Ryoji Otani, Junichiro Adachi, Kenichiro Tanabe, Yoshihisa Yamano, Yasushi Takai, Masaru Honjo

“… Government policies in the United States and the European Union promote standardization and value creation in the use of FAIR (findability, accessibility, interoperability, and reusability) data, which can enhance trust in digital health systems and is crucial for their success. …”
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Multimodal and Temporal Graph Fusion Framework for Advanced Phishing Website Detection by S. Kavya, D. Sumathi

“…FGCL-Net ensures privacy-preserving learning across decentralized datasets through federated contrastive learning, achieving 93-95% accuracy while safeguarding data privacy. …”
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DAMPAK PEMANFAATAN ARTIFICIAL INTELLIGENCE (AI) DALAM PERILAKU PENGAMBILAN KEPUTUSAN TERHADAP ETIKA BISNIS DAN KEBERLANJUTAN ORGANISASI by Putu Ayu Diah Widari Putri, Nyoman Yudha Astriayu Widyari, Ida Ayu Komang Tiara Pratistha Sari

“…In an increasingly complex and competitive business era, AI has become a strategic tool that can increase the speed, accuracy, and objectivity of data-based decision-making. However, its use also poses significant ethical challenges, such as issues of transparency, algorithmic bias, accountability, and data privacy. …”
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Transformation of Dependent Rights In The Digital Era A Study In Electronic Implementation by Waradatun Nafi’ah, Arofa, Andianita Nur Ilahiyah, Moh Basri, Ahmad Musadad

“…However, in its implementation, there are still various obstacles, such as limited technological infrastructure, low public digital literacy, and challenges in maintaining data security and user privacy. This study uses normative juridical methods, utilizing legal and conceptual approaches to examine the effectiveness of regulations regarding electronic liens. …”
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Integrating health equity in artificial intelligence for public health in Canada: a rapid narrative review by Samantha Ghanem, Marielle Moraleja, Danielle Gravesande, Jennifer Rooney

“…After conducting title/abstract and full-text screening of articles, and consensus decision on study inclusion, the data extraction process proceeded using an extraction template. …”
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Hybrid pre trained model based feature extraction for enhanced indoor scene classification in federated learning environments by Monica Dutta, Deepali Gupta, Vikas Khullar, Sapna Juneja, Roobaea Alroobaea, Pooja Sapra

“…This study proposes and implements a novel MultiData model, which integrates DL with Linear Discriminant Analysis (LDA) and Federated Learning (FL) to enhance classification performance while preserving data privacy. …”
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FedRecSys: A Federated Learning-Based Recommender System for Concept Drift Adaptation by Anagha Chaudhari, A. A. Hitham Seddig, Roshani Raut, Aliza Sarlan

“…A new field called deep learning can be used to handle large amounts of multidimensional data in different e-commerce platforms. …”
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Internet of Things on Banking Processes in South Africa: A Systematic Reflection on Innovations, Opportunities and Challenges by Paul Kariuki, Lizzy Oluwatoyin Ofusori, Maria Lauda Joel Goyayi

“…The study found that while the use of IoT in banking processes is still in its infancy, most banks have enhanced their customer experiences through IoT innovations, enhanced their security systems, and enhanced their data access ecosystem to improve their operational efficiency.Moreover, the banking sector is still experiencing some challenges regarding the use of IoT in its processes, such as a lack of privacy and proper storage of customer information, limited workflow management processes, and a lack of policy framework to guide the sector as far as adoption of IoT is concerned. …”
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