Advanced Monte Carlo for Acquisition Sampling in Bayesian Optimization by Javier Garcia-Barcos, Ruben Martinez-Cantin

“…Bayesian optimization (BO) has proved to be a suitable optimization method in these situations thanks to its sample efficiency and principled way of learning from previous data, but it typically requires that experiments are sequentially performed. …”
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Comparative Performance Evaluation of Real-Time Webcam and HOG-Based Facial Recognition Systems for Children's Screen Time Management by Fatimah Alghamdi, Abdulrahman Alghamdi

“…It highlights critical security and privacy considerations, particularly the responsible handling of facial data in environments accessible to minors. …”
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A Study of K-ISMS Fault Analysis for Constructing Secure Internet of Things Service by Hwankuk Kim, Jongin Lim, Kyungho Lee

“…Since existing studies mainly focus on simple statistical analysis of the K-ISMS assessment results, analysis on the cause of certification assessment fault based on past data analysis is insufficient. As a method of managing the certification inspection quality, in this paper, we analyze the association among the fault items of the K-ISMS certification assessment results using association rule mining which involves identifying an association rule among items in the database.…”
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A Multi-Criteria Decision-Making Framework for Evaluating Emerging Digital Technologies in Supply Chain Optimization by Nabil M. AbdelAziz, Dina Mohamed, Hasnaa Soliman

“…Ten critical attributes covering technical, economic, and environmental dimensions were identified through expert consultation and a review of relevant literature, including scalability, integration ease, performance benefit, costeffectiveness, environmental and social sustainability, data privacy, and supply chain resilience. The evaluation framework combines the Entropy method for determining objective attribute weights with the TOPSIS method for ranking alternatives. …”
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Performance Evaluation of Decentralized Federated Learning: Impact of Fully and K-Connected Topologies, Heterogeneous Computing Resources, and Communication Bandwidth by Vo van Truong, Pham Khanh Quan, Dong-Hwan Park, Taehong Kim

“…Decentralized federated learning (DFL) enables collaborative model training across distributed devices while preserving data privacy. Despite this, the performance of DFL in real-world scenarios, characterized by varying network topologies, heterogeneous client resources, and communication bandwidth, remains underexplored. …”
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A Systematic Literature Review on Sustainability Integration and Marketing Intelligence in the Era of Artificial Intelligence by Md Mehedi Hasan Emon, Tahsina Khan

“…The conversation delves into the difficulties and moral aspects involved in using AI in marketing, such as issues related to data privacy, algorithmic bias, and the importance of a strategic framework that focuses on sustainable development goals. …”
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Asynchronous blockchain‐based federated learning for tokenized smart power contract of heterogeneous networked microgrid system by Desh Deepak Sharma

“…For simulation purposes, MATLAB and python programming have been used with real‐time data of microgrids.…”
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A Survey on the Effectiveness of Existing Smart Home Cyber Attacks Detection Solution: A Broadband Service Providers’ Perspective by Md Mizanur Rahman, Faycal Bouhafs, Frank den Hartog

“…We also discuss future research directions, emphasising scalable and data-efficient methods to reduce storage requirements, costs, and privacy concerns, which will enable BSPs to manage millions of customer networks more effectively.…”
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Toward a Domain-Overarching Metadata Schema for Making Health Research Studies FAIR (Findable, Accessible, Interoperable, and Reusable): Development of the NFDI4Health Metadata Sch... by Haitham Abaza, Aliaksandra Shutsko, Sophie A I Klopfenstein, Carina N Vorisek, Carsten Oliver Schmidt, Claudia Brünings-Kuppe, Vera Clemens, Johannes Darms, Sabine Hanß, Timm Intemann, Franziska Jannasch, Elisa Kasbohm, Birte Lindstädt, Matthias Löbe, Katharina Nimptsch, Ute Nöthlings, Marisabel Gonzalez Ocanto, Tracy Bonsu Osei, Ines Perrar, Manuela Peters, Tobias Pischon, Ulrich Sax, Matthias B Schulze, Florian Schwarz, Carolina Schwedhelm, Sylvia Thun, Dagmar Waltemath, Hannes Wünsche, Atinkut A Zeleke, Wolfgang Müller, Martin Golebiewski

“…The National Research Data Infrastructure for Personal Health Data (NFDI4Health) seeks to optimize data sharing among the clinical, epidemiological, and public health research communities while preserving privacy and ethical regulations. …”
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The Effect of Viral Promotional Advergames on the Behavioral Reactions by Mostafa Heidari Haratemeh

“…This research used data from pre-measure and post-measure assessments within a real viral marketing campaign. …”
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Arabic speaking women’s experience of postpartum contraceptive counselling in Sweden by Sofia Berglundh, Khadija Abunnaja, Sibylle Herzig van Wees, Elin C. Larsson, Helena Kilander

“…The FGDs were conducted in Arabic and translated to English. Data was analysed using reflexive thematic analysis. …”
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Enhancing technological sustainability in academia: leveraging ChatGPT for teaching, learning and evaluation by Labaran Isiaku, Abubakar Sadiq Muhammad, Hyelda Ibrahim Kefas, Fitzgerald Chidozie Ukaegbu

“…However, it also sheds light on the ethical issues and challenges associated with its use, including privacy and data protection, transparency and alignment with educational principles. …”
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Advancing sustainability: The impact of emerging technologies in agriculture by Ashoka Gamage, Ruchira Gangahagedara, Shyamantha Subasinghe, Jeewan Gamage, Chamini Guruge, Sera Senaratne, Thevin Randika, Chamila Rathnayake, Zammil Hameed, Terrence Madhujith, Othmane Merah

“…However, it is important to carefully address ethical and socio-economic considerations, including accessibility and data privacy, to manage these effects effectively. …”
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Exploring unsupervised feature extraction algorithms: tackling high dimensionality in small datasets by Hongqi Niu, Gabrielle B. McCallum, Anne B. Chang, Khalid Khan, Sami Azam

“…Abstract Small datasets are common in many fields due to factors such as limited data collection opportunities or privacy concerns. …”
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Establishing a Collaborative Genomic Repository for Adult Burn Survivors: A Burn Model System Feasibility Study by Stephen Sibbett, Jamie Oh, Gretchen Carrougher, Lara Muffley, Nathaniel Ashford, Maiya Pacleb, Samuel Mandell, Jeffrey Schneider, Steven Wolf, Barclay Stewart, Nicole S. Gibran

“…We set out two primary objectives, namely (1) to develop standard operating procedures for genetic sample collection and storage, DNA isolation, and data integration into an existing multicenter database; and (2) to demonstrate the feasibility of correlating genetic variation to functional outcomes in a pilot study, using the catechol-O-methyltransferase (COMT) gene. …”
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Effects of Virtual Care on Patient and Provider Experience of the Clinical Encounter: Qualitative Hermeneutic Study by Graham McCaffrey, Erin Wilson, Lela V Zimmer, Anurag Singh, Steinunn Jonatansdottir, Peter Zimmer, David Snadden, Ian D Graham, Martha MacLeod

“…A total of 17 patients and 10 providers from various disciplines were interviewed by phone as part of a study on health care implementation in the context of a kidney care service in northern British Columbia, Canada. The interview data were analyzed using a hermeneutic approach, which emphasizes careful attention to reported experiences in relation to the relationships and contexts of care. …”
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Hybrid Convolutional Neural Network-Based Intrusion Detection System for Secure IoT Networks by Sami Qawasmeh, Ahmad Habboush, Bassam Elzaghmouri, Qasem Kharma, Da'ad Albalawneh

“…The training model defines the convolutional layer's structure, sliding window size, neuron connection weights, and outputs using the improved data. The training period is used for attack detection, and the weights are calculated from trained and real-time data. …”
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A Novel Crowdsourcing-Assisted 5G Wireless Signal Ranging Technique in MEC Architecture by Rui Lu, Lei Shi, Yinlong Liu, Zhongkai Dang

“…This study designs a progressive solution by (1) building a crowdsourced data collection network, using mobile terminals equipped with GPS technology to automatically collect device signal features, replacing inefficient manual drive tests; (2) developing a progressive signal update algorithm that integrates real-time crowdsourced data and historical signals to optimize the signal fingerprint database in dynamic environments; (3) establishing an edge service architecture to offload signal matching and trajectory estimation tasks to MEC nodes, using lightweight computing engines to reduce the load on the core network. …”
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Retracted: An Enhanced Hybrid Glowworm Swarm Optimization Algorithm for Traffic-Aware Vehicular Networks by Pratima Upadhyay, Venkatadri Marriboina, Shiv Kumar, Sunil Kumar, Mohd Asif Shah

“…Also, the safety messages are modified or discarded by the attacker or any other node and it may lead to the loss of privacy, integrity, confidentiality, and authentication of the data.So to enhance the security of VANETs, it is very much essential to invent a secure communication protocol, to protect the infrastructure of the network and the confidentiality of the data. …”
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Advancing the Sensitivity Frontier in digital contact tracing: Comparative analysis of proposed methods toward maximized utility by Junko Ami, Yanbo Pang, Hiroshi Masui, Takashi Okumura, Yoshihide Sekimoto

“…During the COVID-19 pandemic, many countries adopted Digital Contact Tracing (DCT) technology to control infections. However, the widely-used Bluetooth Low Energy (BLE)-based DCT requires both the infected individual and the contact to have the application activated to detect exposure. …”
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