Efficient GPT-4V level multimodal large language model for deployment on edge devices by Yuan Yao, Tianyu Yu, Ao Zhang, Chongyi Wang, Junbo Cui, Hongji Zhu, Tianchi Cai, Chi Chen, Haoyu Li, Weilin Zhao, Zhihui He, Qianyu Chen, Ronghua Zhou, Zhensheng Zou, Haoye Zhang, Shengding Hu, Zhi Zheng, Jie Zhou, Jie Cai, Xu Han, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun

“…However, their large sizes and high computational costs restrict deployment to cloud servers, limiting use in mobile, offline, energy-sensitive, or privacy-critical scenarios. …”
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Internet and female victimization by Žunić Natalija, Vilić Vida

“…The data indicates that in the digital world, the privacy of women is significantly compromised and associated with new and terrifying forms of on-line violence. …”
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A Structural equation modeling analysis of generative AI chatbots adoption among students and educators in higher education by Afef Saihi, Mohamed Ben-Daya, Moncer Hariga, Rami As'ad

“…Employing a Structural Equation Modeling (SEM) approach, the research focuses on developing and validating a comprehensive model to understand the multifaceted factors impacting the acceptance and use of these chatbots. The methodology integrates an extensive literature review, construction of a theoretical model, administration of a detailed questionnaire to a representative sample from the higher education sector, coupled with advanced SEM techniques for data analysis and interpretation. …”
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A CAE model-based secure deduplication method by Chunbo Wang, Guoying Zhang, Hui Qi, Bin Chen

“…Abstract Cloud storage services are widely used due to their convenience and flexibility. However, the presence of a large amount of duplicate data in the cloud imposes a significant storage burden and increases the risk of privacy breaches. …”
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Alternatives to continuous positive airway pressure treatment in sleep apnoeas and hypopnoeas syndrome related to myofunctional and postural reeducation therapy: protocol for a sys... by Montserrat Solera-Martínez, Blanca Notario-Pacheco, Rocio Palomo-Carrión, Marta Maria Guijarro-Herráiz, Natalia María Arias-Palencia, Lidia Lucas- de la Cruz, Beatriz Guijarro-Herráiz, Jose Luis García-Klepzig

“…Finally, several patient-related outcomes, namely sleep quality, quality of life and sleep Apnoeas and Hypoapnoeas Index, will be examined.Ethics and dissemination In this case, ethical approval is not necessary. The data used in the review will be exclusively obtained from published studies, implying there are no privacy concerns. …”
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Platform framework for blockchain-enhanced healthcare AIoT systems by Minhee Jun

“…Theoretical analysis demonstrates that the use of a sharding blockchain significantly enhances memory efficiency and reduces data retrieval time in healthcare AIoT applications. …”
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GenAI and effective reading among university students: Prospects, challenges, and future directions by George Matto, Jaffar Msafiri Ponera, Valeria Kyumana

“…The system can also lead to breach of data privacy and it is resources intensive.  Most of the limitations are, however, manageable. …”
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Human Behavior Analysis: A Comprehensive Survey on Techniques, Applications, Challenges, and Future Directions by Siham Essahraui, Ismail Lamaakal, Yassine Maleh, Khalid El Makkaoui, Mouncef Filali Bouami, Ibrahim Ouahbi, Ahmed A. Abd El-Latif, May Almousa, Joel J. P. C. Rodrigues

“…The survey also delves into data sources and methodologies used in HBA, such as sensor data, social media data, physiological signals, and multimodal analysis. …”
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Application of Artificial Intelligence in the Tourism Sector: Benefits and Challenges of AI-Based Digital Tools in Tourism Organizations of Lithuania, Latvia, and Sweden by Gita Šakytė-Statnickė, Laurencija Budrytė-Ausiejienė

“…Tourism organizations implementing or already using artificial intelligence in their activities are usually faced with the challenge of ensuring data privacy and security, the high costs of implementing artificial intelligence systems, etc.…”
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Blockchain Enabled Federated Learning for Detection of Malicious Internet of Things Nodes by Rachid Alami, Anjanava Biswas, Varun Shinde, Ahmad Almogren, Ateeq Ur Rehman, Tahseen Shaikh

“…This will not only enhance the accuracy of the unified federated learning model but also preserve the privacy of each cluster because no actual data is sent to fog layer for central model training. …”
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"If my husband was in the labor ward with me, my baby wouldn't have died"; experiences on birth companionship from a tertiary health facility, Tanzania. by Michael Obed Mwakyusa, Ali Said, Shekha Selemani, Musa Kakiziba, Judica Christopher, Nathanael Shauri Sirili, Fadhlun M Alwy Al-Beity

“…Braun and Clarke's six-step thematic analysis approach was used to analyze the data.<h4>Results</h4>Three major themes emerged: "Bonding and Learning with Spouse/Partner," "Assurance of Maternal Safety," and "Fear of Blame and Breach of Confidentiality." …”
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Federated learning for crop yield prediction: A comprehensive review of techniques and applications by Vani Hiremani, Raghavendra M. Devadas, Preethi, R. Sapna, T. Sowmya, Praveen Gujjar, N. Shobha Rani, K.R. Bhavya

“…This paper offers a systematic overview of the recent knowledge on the application of FL towards the prediction of crop yield and other agricultural uses. We discussed the mathematical basis of FL, the variety of machine learning models used, the types of used agricultural data, and the major performance metrics. …”
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Progress in the integration of ChatGPT in Higher Education: an examination of applications, advantages, and challenges by Leopoldo Vinicio Venegas Loor, Paola v Moreira Aguayo, Alberto Rodríguez Rodríguez

“…Nonetheless, the deployment of ChatGPT has obstacles, including maintaining objectivity in automated assessments and safeguarding student data privacy. Addressing these difficulties necessitates stringent validation of model performance and the establishment of explicit data privacy regulations. …”
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Multiparty Homomorphic Encryption for IoV Based on Span Program and Conjugate Search Problem by Bo Mi, Siyuan Zeng, Ran Zeng, Fuyuan Wang, Qi Zhou

“…The scheme ensures efficient computation of data while preserving the privacy of each party’s data. …”
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Advancements of Deep Learning Model-Based Rehabilitation Training System by Xu Chiyu

“…The experimental results show that there is still room for the development of rehabilitation training assessment systems in terms of privacy, interpretation ability, and application scenarios, and that researchers can address the above issues by using federated learning, developing an expert system, and using transfer learning domain adaptation, respectively.…”
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Assessment of The Potential Interference and Conflict of Artificial Intelligence With Human Rights and Citizenship: Challenges and Solutions by Hossein Khazaei, Mojtaba Hemmati

“…Therefore, it is necessary to devise solutions to address these challenges, which may include diversifying data, ensuring operational transparency, establishing legal and ethical frameworks, government commitments to balance the use of artificial intelligence with the fulfillment and enforcement of the right to work, data protection, respect for privacy, reducing discrimination, collaborating with stakeholders, establishing international legal standards, and fostering international cooperation for the safe development of artificial intelligence. …”
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SortAlign: a score-based aggregation technique for neural networks in one-round federated learning by Antonio Nappa, Oihan Joyot, Izar Azpiroz, Juan Luis Ferrando Chacón, Mikel Sáez de Buruaga

“…In recent years, the growth of data generated on a daily basis in critical domains, such as industrial processes, where data privacy plays a key role, has led to the strong development of Federated Learning. …”
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Digital Health Interventions for Depression and Anxiety in Low- and Middle-Income Countries: Rapid Scoping Review by Leena W Chau, Raymond W Lam, Harry Minas, Kanna Hayashi, Vu Cong Nguyen, John O'Neil

“…Challenges pertained to the technological system, engagement issues, structural barriers, and concerns regarding privacy and confidentiality. Facilitators included widespread mobile phone use, built-in supervision and training features, and convenience. …”
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VANET Vulnerabilities Classification and Countermeasures: A Review by Vamshi Krishna K, Ganesh Reddy K

“…Many protocols, techniques, and approaches have been developed to secure and protect data. To enhance current security and privacy measures and develop and model new ones, the ideas of machine learning (ML), deep learning (DL), and artificial intelligence are being applied. …”
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A Trusted Federated Learning Method Based on Consortium Blockchain by Xiaojun Yin, Xijun Wu, Xinming Zhang

“…Federated learning (FL) has gained significant attention in distributed machine learning due to its ability to protect data privacy while enabling model training across decentralized data sources. …”
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