Privacy attack in federated learning is not easy: an experimental study by Hangyu Zhu, Liyuan Huang, Zhenping Xie

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A Federated Learning Model for Detecting Cyberattacks in Internet of Medical Things Networks by Abdallah Ghourabi, Adel Alkhalil

“…In this paper, we propose a novel approach based on Federated Learning (FL), enabling medical devices to collaboratively detect cyberattacks without directly sharing sensitive data. …”
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A new statistic to evaluate imputation reliability. by Peng Lin, Sarah M Hartz, Zhehao Zhang, Scott F Saccone, Jia Wang, Jay A Tischfield, Howard J Edenberg, John R Kramer, Alison M Goate, Laura J Bierut, John P Rice, COGA Collaborators COGEND Collaborators, GENEVA

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CytoAnalyst web platform facilitates comprehensive single cell RNA sequencing analysis by Phi Bya, Duy Tran, Khoi Nguyen, Sorin Draghici, Tin Nguyen

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Exploring why and how commercial organizations contribute to OpenStreetMap by Héctor Ochoa-Ortiz, Barbara Re

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Survey of Artificial Intelligence Model Marketplace by Mian Qian, Abubakar Ahmad Musa, Milon Biswas, Yifan Guo, Weixian Liao, Wei Yu

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Examining the landscape of proctoring in upholding academic integrity: a bibliometric review of online examination practices by Manit Malhotra, Indu Chhabra, Salil Bharany, Ateeq Ur Rehman, Seada Hussen

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Advancements and trends in mangrove species mapping based on remote sensing: A comprehensive review and knowledge visualization by Yuqi Wu, Chunyan Lu, Kexin Wu, Wenna Gao, Nuocheng Yang, Jingwen Lin

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An NLP-Based Framework to Spot Extremist Networks in Social Media by Andrés Zapata Rozo, Daniel Díaz-López, Javier Pastor-Galindo, Félix Gómez Mármol, Umit Karabiyik

“…Knowledge graphs achieved in our use case allow us to identify how nodes that promote HSM are interconnected and work collaboratively. Finally, the computational costs of our proposal are quite favorable as memory consumption of similarity and polarity models is proportional to the number of processed tweets, confirming the feasibility of the solution in a real context.…”
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A point cloud segmentation network with hybrid convolution and differential channels by Xiaoyan Zhang, Yantao Bu

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Comprehensive evaluation framework for synthetic tabular data in health: fidelity, utility and privacy analysis of generative models with and without privacy guarantees by Mikel Hernandez, Mikel Hernandez, Mikel Hernandez, Pablo A. Osorio-Marulanda, Pablo A. Osorio-Marulanda, Mikel Catalina, Lorea Loinaz, Lorea Loinaz, Gorka Epelde, Gorka Epelde, Naiara Aginako

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Tracing the evolution of accounting systems: a societal and human frameworks bibliometric study by Rana Airout

“…From the evidence, we find that studies increase each year by 4.94% with the highest contribution being from the USA and the spread of international collaborations. Seven thematic categories suggest areas like predictive accounting, allocation of resources, managerial conduct, environmental concerns, and human–computer interaction. …”
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Peran Layanan Disabilitas Dalam Meningkatkan Aksesibilitas Informasi Di Perpustakaan Nasional Republik Indonesia by Fachri Rahmady, Fransiska Timoria Samosir, Lailatus Sadiyah

“…Recommendations include enhancing librarians' skills through continuous training, improving physical and technological infrastructure, and fostering strategic collaborations with disability communities and organizations. …”
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Escalation of Terrorism in the Sahel Region and Information and Communication Technology, 2018-2023: Treading an e-Counterterrorism Path by JoshuaJones Oguadinma

“…[Findings]The study revealed that the ICT applications were a major contributor to the escalation of terrorism in Sahel region and deemphasized the sole reliance on internal military actions; while encouraging international collaborations among the states to embrace an aspect of artificial intelligence (AI) branded e-counterterrorism, to tackle the menace. …”
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Artificial Intelligence in Placental Pathology: New Diagnostic Imaging Tools in Evolution and in Perspective by Antonio d’Amati, Giorgio Maria Baldini, Tommaso Difonzo, Angela Santoro, Miriam Dellino, Gerardo Cazzato, Antonio Malvasi, Antonella Vimercati, Leonardo Resta, Gian Franco Zannoni, Eliano Cascardi

“…We critically address these limitations by proposing targeted solutions, such as augmenting training datasets with annotated artifacts, promoting explainable AI methods, and enhancing cross-institutional collaborations. Finally, we outline future research directions, emphasizing the refinement of AI algorithms for routine clinical integration and fostering interdisciplinary cooperation among pathologists, computational researchers, and clinical specialists.…”
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ChromatinHD connects single-cell DNA accessibility and conformation to gene expression through scale-adaptive machine learning by Wouter Saelens, Olga Pushkarev, Bart Deplancke

“…Furthermore, ChromatinHD can delineate collaborating regulatory regions, including their preferential genomic conformations, that drive gene expression. …”
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Federated Learning With Automated Dual-Level Hyperparameter Tuning by Rakib Ul Haque, Panagiotis Markopoulos

“…Federated Learning (FL) is a decentralized machine learning (ML) approach where multiple clients collaboratively train a shared model over several update rounds without exchanging local data. …”
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Applications of artificial intelligence in drug discovery for neurological diseases by Sean Ekins, Thomas R. Lane

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Rethinking Exploration and Experience Exploitation in Value-Based Multi-Agent Reinforcement Learning by Anatolii Borzilov, Alexey Skrynnik, Aleksandr Panov

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Implementing operational strategy of closed-loop supply chain considering data intelligence level with an online platform by Xigang Yuan, Xiaoqing Zhang, Fei Tang, Qiang Wei, Dalin Zhang

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