Dialysis machine alarm recognition based on convolutional neural network by Huile Xie, Xiongjie Deng, Bin Dong, Liting Chen, Mingyang Song, Zidong Ying, Zhaoxin Fan, Xukai Wang, Liang Peng

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Enhanced Metal Surface Processing Through the No-Stray-Corrosion Controllable Electrolyte DistributionElectrochemical Machining Method Utilizing a Water-Absorbent Porous Ball by Jiankang Wang, Qiyuan Cao, Ye Chen, Wataru Natsu, Jianshu Cao

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LLM-Driven APT Detection for 6G Wireless Networks: A Systematic Review and Taxonomy by Muhammed Golec, Yaser Khamayseh, Suhib Bani Melhem, Abdulmalik Alwarafy

“…Sixth Generation (6G) wireless networks, which are expected to be deployed in the 2030s, have already created great excitement in academia and the private sector with their extremely high communication speed and low latency rates. …”
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Leveraging BERT, DistilBERT, and TinyBERT for Rumor Detection by Aijazahamed Qazi, R. H. Goudar, Rudragoud Patil, Geetabai S. Hukkeri, Dhanashree Kulkarni

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Data-driven microstructural optimization of Ag-Bi-I perovskite-inspired materials by Kshithij Mysore Nandishwara, Shuan Cheng, Pengjun Liu, Huimin Zhu, Xiaoyu Guo, Fabien C.-P. Massabuau, Robert L. Z. Hoye, Shijing Sun

“…Abstract Microstructural design is crucial yet challenging for thin-film semiconductors, creating barriers for new materials to achieve practical applications in photovoltaics and optoelectronics. …”
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Fusion of Visual Attention and Scene Descriptions With Deep Reinforcement Learning for AAV Indoor Autonomous Navigation by Hussein Samma, Ahmed Abubaker, Mubarak Badamasi Aremu, Mohammed Abdel-Nasser, Sami El-Ferik

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Advancing psychosocial disability and psychosocial rehabilitation research through large language models and computational text mining by Soheyla Amirian, Ashutosh Kekre, Boby John Loganathan, Vedraj Chavan, Punith Kandula, Nickolas Littlefield, Joseph R. Franco, Ahmad P. Tafti, Ikenna D. Ebuenyi

“…It aims to significantly enhance the scientific community’s knowledge by creating an extensive textual dataset and advanced computational text mining strategies to explore current trends in psychosocial rehabilitation and psychosocial disability research.…”
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Crossing the Andes: Challenges and opportunities for digital pathology in Latin America by Renata A. Coudry, Emilio A.C.P. Assis, Fernando Pereira Frassetto, Angela Marie Jansen, Leonard Medeiros da Silva, Rafael Parra-Medina, Mauro Saieg

“…In Latin America, DP has the potential to reshape healthcare by enhancing diagnostic capabilities through artificial intelligence (AI) and standardizing pathology reports. …”
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Indian Classical Dance Action Identification and Classification with Convolutional Neural Networks by P. V. V. Kishore, K. V. V. Kumar, E. Kiran Kumar, A. S. C. S. Sastry, M. Teja Kiran, D. Anil Kumar, M. V. D. Prasad

“…This paper proposes the classification of Indian classical dance actions using a powerful artificial intelligence tool: convolutional neural networks (CNN). …”
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AMT-Net: Adversarial Motion Transfer Network With Disentangled Shape and Pose for Realistic Image Animation by Nega Asebe Teka, Kumie Gedamu Alemu, Maregu Assefa, Feidu Akmel, Zhenting Zhou, Weijie Wu, Jianwen Chen

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New Fuzzy Implication Model Consisting Only of Basic Logical Fuzzy Connectives by Stefanos Makariadis, Eleftherios Makariadis, Avrilia Konguetsof, Basil Papadopoulos

“…The importance of the mentioned models increases due to the fact that there is a need for new fuzzy implications for use in artificial intelligence and other applications. So, this paper aims to resolve this problem by creating a new model. …”
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Designing Development Readiness Indicators and Roadmap for Petaflops Scale Supercomputers by Davood Maleki, Mohammad Reza Ahmadi, Alireza Mansouri, Ehsan Arianyan

“…Recently, supercomputers and high-performance computing (HPC) have caused significant progress in many fields, including industrial and research fields of artificial intelligence, data science, big data, Internet of Things, as well as large scale web applications. …”
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A machine learning model with crude estimation of property strategy for performance prediction of perovskite solar cells based on process optimization by Dan Li, Ernie Che Mid, Shafriza Nisha Basah, Xiaochun Liu, Jian Tang, Hongyan Cui, Huilong Su, Qianliang Xiao, Shiyin Gong

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Training in Co-Creation as a Methodological Approach to Improve AI Fairness by Ian Slesinger, Evren Yalaz, Stavroula Rizou, Marta Gibin, Emmanouil Krasanakis, Symeon Papadopoulos

“…Participatory design (PD) and co-creation (Co-C) approaches to building Artificial Intelligence (AI) systems have become increasingly popular exercises for ensuring greater social inclusion and fairness in technological transformation by accounting for the experiences of vulnerable or disadvantaged social groups; however, such design work is challenging in practice, partly because of the inaccessible domain of technical expertise inherent to AI design. …”
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Plantonome: A Cross-Platform Application for Precision Agriculture by Deroussi Anass, Ait Madi Abdessalam, Alihamidi Imam, Chabou Zakaria, Addaim Adnane

“…In recent years, there has been growing interest in leveraging the Internet of Things (IoT) and Artificial Intelligence (AI) technologies for agriculture. A significant challenge for developers in this field is creating applications that provide precise data about plants, facilitating the smart automation of plant management. …”
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Improved Interconnected MRAS Parameter Identification for Speed Sensorless Control of Linear Induction Motor by Hailin Hu, Shiyan Yu, Liangjie Ren, Mingda Zhai, Yuhui Chen

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THE ROLE OF MANAGEMENT INFORMATION SYSTEMS IN IMPROVING PRODUCT QUALITY IN THE PUBLIC-PRIVATE PARTNERSHIP PROJECTS IN THE AI ECONOMY by Mirlan A. Asanov, Aidarbek T. Gyiazov, Tologon T. Omoshev, Aydin S. Kernebaev, Elena S. Akopova

“…We proved the top-priority role of the private sector in mastering the modern technologies of artificial intelligence, which ensure product quality. The objective of this research was to identify the direction of the influence of management information systems on the improvement of the quality of products which are created in public-private partnership projects in the AI economy. …”
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How can we make robot dance expressive and responsive? A survey of methods and future directions by Benedikte Wallace, Benedikte Wallace, Kyrre Glette, Kyrre Glette, Alex Szorkovszky

“…This article reviews recent advances in robotics, artificial intelligence, and human-robot interaction toward enabling various aspects of realistic dance, and examines potential paths toward a fully embodied dancing agent. …”
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Digital Technology in Cultural Heritage: Construction and Evaluation Methods of AI-Based Ethnic Music Dataset by Dayang Chen, Na Sun, Jong-Hoon Lee, Changman Zou, Wang-Su Jeon

“…This study focuses on the construction and evaluation of a high-quality Chinese Manchu music dataset designed to facilitate Artificial Intelligence (AI) research and applications within cultural heritage and ethnomusicology. …”
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Transforming Monochromatic Images into 3D Holographic Stereograms Through Depth-Map Extraction by Oybek Mirzaevich Narzulloev, Jinwon Choi, Jumamurod Farhod Ugli Aralov, Leehwan Hwang, Philippe Gentet, Seunghyun Lee

“…Therefore, this paper proposes a new artificial-intelligence-based process for generating digital holographic stereograms from a single black-and-white photograph. …”
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