A review of machine learning and deep learning for Parkinson’s disease detection by Hajar Rabie, Moulay A. Akhloufi

“…However, challenges like the need for large and diverse datasets, data privacy concerns, and data quality in healthcare remain. …”
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Exploring the Frontier: Generative AI Applications in Online Consumer Behavior Analytics by Takuma Kimura

“…Furthermore, the paper discusses the challenges associated with generative AI, emphasizing the need to consider ethical issues, such as bias and data privacy. This comprehensive review contributes to a deeper understanding of generative AI’s role in OCBA, outlining its applications and functionalities from a technical perspective. …”
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Federated learning-based non-intrusive load monitoring adaptive to real-world heterogeneities by Qingquan Luo, Chaofan Lan, Tao Yu, Minhang Liang, Wencong Xiao, Zhenning Pan

“…Meanwhile, adaptive model initialization is applied in local training to balance biased global knowledge with local accumulated knowledge, enhancing the learning of heterogeneous data. To further handle heterogeneous local NILM models, homogeneous proxy models are used for global-local iteration through knowledge distillation. …”
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ADF-SL: An Adaptive and Fair Scheme for Smart Learning Task Distribution by Ahmed A. Al-Saedi, Veselka Boeva

“…However, training models within SL is affected by data heterogeneity and sensitivity, and often requires more computational resources than an individual data provider can afford. …”
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Parents’ information needs and perceptions of chatbots regarding self medicating their children by Xueyi Wei, Xiuwen Chen, Liqing Yue, Peng Liao

“…Semi-structured interviews were conducted from October 2023 to December 2023. The interview data were analysed using a thematic analysis method. …”
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Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty by Yanchen Wang, Lisa Singh

“…One approach to improve trustworthiness and fairness in AI systems is to use bias mitigation algorithms. However, most bias mitigation algorithms require data sets that contain sensitive attribute values to assess the fairness of the algorithm. …”
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Analysis of Encrypted Network Traffic for Enhancing Cyber-security in Dynamic Environments by Faeiz Alserhani

“…At present, encrypted data is the cornerstone of Internet communication, providing the maximum degree of privacy and security protection for all transmitted data while shielding users against potential cyber threats and attacks. …”
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FedArtML: A Tool to Facilitate the Generation of Non-IID Datasets in a Controlled Way to Support Federated Learning Research by Daniel Mauricio Jimenez Gutierrez, Aris Anagnostopoulos, Ioannis Chatzigiannakis, Andrea Vitaletti

“…We use the 2) Jensen-Shannon and Hellinger distances for quantifying the degree of IID data. …”
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Cybercrime Regulation through Laws and Strategies: a Glimpse into the Indian Experience by Annappa Nagarathna

“…This Act underwent amendment in 2008 to accommodate provisions essential to regulate cybercrimes as well as protect data and privacy on cyber space. In addition to the law, other strategies were designed and adopted to better regulate cyber offences including announcing cyber security policies, constituting institutions to take care of certain concerns including those relating to critical infrastructure information, etc. …”
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A scaling law to model the effectiveness of identification techniques by Luc Rocher, Julien M. Hendrickx, Yves-Alexandre de Montjoye

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Extending capabilities of artificial intelligence for decision-making and healthcare education by Mohd Javaid, Abid Haleem, Ibrahim Haleem Khan, Raju Vaishya, Abhishek Vaish

“…Medical profession requires extensive knowledge and accuracy from the existing data for improved decision-making. Artificial intelligence (AI) is an appropriate technology used to improve the knowledge, skill, quality of treatment, capability, confidence, and effective decision-making process. …”
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Decentralized Biobanking Apps for Patient Tracking of Biospecimen Research: Real-World Usability and Feasibility Study by William Sanchez, Ananya Dewan, Eve Budd, M Eifler, Robert C Miller, Jeffery Kahn, Mario Macis, Marielle Gross

“…Biowallet NFTs were held within a custodial wallet, whereas the user experiences simulated token-gated access to personalized feedback about collection and use of individual and collective deidentified specimens. …”
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Impact of telemedicine on antenatal care at a teaching institution in Eastern India: An insight into the future of better India by Ipsita Mohapatra, Vikash K. Rai, Subha Ranjan Samantaray

“…Materials and Methods: Primary data were collected by means of a telephonic survey of all the antenatal patients who used telemedicine services of AIIMS, Kalyani, based on a preformed questionnaire. …”
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Algorithms weighing lives and freedoms: The case of China’s health code by Ina Virtosu, Chen Li

“…Digital contact tracing has attracted enormous interest among academics and legislators since the outbreak of COVID-19, which resulted in several policy papers and research works, discussing issues, such as the effectiveness and accuracy of virus detection, as well concerns in regard to discrimination and data privacy. However, most of the articles refers to technologies and its implications in the West, and less to the peculiarities and problems related to the use of Chinese health code. …”
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From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications by Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, Constantinos Halkiopoulos

“…Further, related ethical issues with respect to privacy, data security, and machine learning model biases need to be much more proclaimed to responsibly apply research on emotions to areas such as healthcare, human–computer interaction, and marketing. …”
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Exploring the Limitations of Federated Learning: A Novel Wasserstein Metric-Based Poisoning Attack on Traffic Sign Classification by Suzan Almutairi, Ahmed Barnawi

“…This reference model is then used to generate an adversarial local model characterized by low accuracy but minimal perturbation. …”
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Exploring the Challenges of Mobile Phone Utilization for Library Service Delivery: The Librarians’ Perspectives by Qudus Bankole

“…A self-developed questionnaire was used to collect data, which was analyzed using descriptive statistics. …”
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Current AI technologies in cancer diagnostics and treatment by Ashutosh Tiwari, Soumya Mishra, Tsung-Rong Kuo

“…Finally, we discuss important challenges such as data privacy, interpretability, and regulatory issues, and recommend future directions that involve the use of federated learning, synthetic biology, and quantum-boosted AI. …”
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Factors that affect clinical youth engagement in digital mental health research: a qualitative sub-study nested within a prospective cohort study by Amanda Bye, Emma Wilson-Lemoine, Kylee Trevillion, Ben Carter, Rina Dutta

“…Despite the relevance and support for research on the impact of digital technology use on youth mental health, concerns about data sharing and a complex process for accessing data from social media platforms complicated study engagement. …”
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