A self-configuration framework for balancing services in the fog of things by Edson Mota, Jurandir Barbosa, Gustavo B. Figueiredo, Maycon Peixoto, Cássio Prazeres

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Artificial intelligence in breast cancer survival prediction: a comprehensive systematic review and meta-analysis by Zohreh Javanmard, Saba Zarean Shahraki, Kosar Safari, Abbas Omidi, Sadaf Raoufi, Mahsa Rajabi, Mohammad Esmaeil Akbari, Mehrad Aria

“…Notably, 81.25% of studies relied on internal validation, primarily using K-fold cross-validation and train/test split strategies.ConclusionThe findings underscore the significant potential of AI-based algorithms in enhancing the accuracy of BC survival predictions. …”
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A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions by Oumayma Jouini, Kaouthar Sethom, Abdallah Namoun, Nasser Aljohani, Meshari Huwaytim Alanazi, Mohammad N. Alanazi

“…Prominent IoT devices tailored to integrate edge intelligence include Raspberry Pi, NVIDIA’s Jetson, Arduino Nano 33 BLE Sense, STM32 Microcontrollers, SparkFun Edge, Google Coral Dev Board, and Beaglebone AI. These devices are boosted with custom AI frameworks, such as TensorFlow Lite, OpenEI, Core ML, Caffe2, and MXNet, to empower ML and DL tasks (e.g., object detection and gesture recognition). …”
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Advanced automated machine learning framework for photovoltaic power output prediction using environmental parameters and SHAP interpretability by Muhammad Paend Bakht, Mohd Norzali Haji Mohd, Babul Salam KSM Kader Ibrahim, Nuzhat Khan, Usman Ullah Sheikh, Ab Al-Hadi Ab Rahman

“…This study establishes an advanced and powerful framework combining Auto-ML and explainable AI for predictive modeling of PV power output. It sets new standards for significantly improved operational decisions and a broader integration of AI in renewable energy forecasting for data-driven optimization in power systems.…”
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Reducing transition costs towards carbon neutrality of China’s coal power plants by Rui Wang, Wenjia Cai, Ryna Yiyun Cui, Lin Huang, Weidong Ma, Binbin Qi, Jia Zhang, Jiang Bian, Haoran Li, Shihui Zhang, Jianxiang Shen, Xian Zhang, Jiutian Zhang, Wei Li, Le Yu, Ning Zhang, Can Wang

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Artificial intelligence for biodiversity: Exploring the potential of recurrent neural networks in forecasting arthropod dynamics based on time series by Sébastien Lhoumeau, João Pinelo, Paulo A.V. Borges

“…In the current biodiversity crisis, the increasing demand for effective conservation tools aligns with significant advancements in artificial intelligence (AI). There is the need for the development of more robust and accurate forecasting methods, ultimately enhancing our understanding of ecological dynamics and supporting the formulation of effective conservation strategies. …”
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Physics-Based SPICE-Compatible Compact Model of FLASH Memory With Poly-Si Channel for Computing-in-Memory Applications by Jung Rae Cho, Donghyun Ryu, Donguk Kim, Wonjung Kim, Yeonwoo Kim, Changwook Kim, Yoon Kim, Myounggon Kang, Jiyong Woo, Dae Hwan Kim

“…Recently, three-dimensional FLASH memory with multi-level cell characteristics has attracted increasing attention to enhance the capabilities of artificial intelligence (AI) by leveraging computingin-memory (CIM) systems. …”
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A BERT-Based Classification Model: The Case of Russian Fairy Tales by Валерий Дмитриевич Соловьев, Марина Ивановна Солнышкина, Andrey Ten, Николай Аркадиевич Прокопьев

“…Thus, the achieved by AI classification accuracy is so high that it can compete with that of human expertise.    …”
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Inhibition of Corneal Neovascularization by Subconjunctival Injection of Fc-Endostatin, a Novel Inhibitor of Angiogenesis by Junko Yoshida, Robert T. Wicks, Andrea I. Zambrano, Betty M. Tyler, Kashi Javaherian, Rachel Grossman, Yassine J. Daoud, Peter Gehlbach, Henry Brem, Walter J. Stark

“…An angiogenesis index (AI) was calculated (vessel length (mm) × vessel number score) for each observation. …”
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Pengembangan Knowledge Management System Ukiran Kayu Khas Bali Berbasis Artificial Intelligence by I Putu Restu Indrawan Prabawa, Ariq Cahya Wardhana

“…Metode KMSLC diterapkan pada pengembangan KMS berhasil mengembangkan chatbot AI berbasis NLP dengan presentase kebenaran knowledge yang dihasillkan sebesar 75%.   …”
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Challenges and Technology Trends in Implementing a Human Resource Management System: A Systematic Literature Review by Rahma Destriani, Raihansyah Yoga Adhitama, Dana Indra Sensuse, Deden Sumirat Hidayat, Erisva Hakiki Purwaningsih

“…Exciting technology trends offer promise for next-generation HRMS solutions, including artificial intelligence (AI), machine learning, predictive analytics, and mobile accessibility. …”
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Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks by Mohammed Almehdhar, Abdullatif Albaseer, Muhammad Asif Khan, Mohamed Abdallah, Hamid Menouar, Saif Al-Kuwari, Ala Al-Fuqaha

“…We highlight the transition from traditional signature-based to anomaly-based detection methods, emphasizing the significant advantages of AI-driven approaches in identifying novel and sophisticated intrusions. …”
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L’importanza del “parametro energetico” temperatura per la caratterizzazione dinamica dei materiali by A. Risitano, G. Risitano

“…Le esperienze maturate nel campo dell’analisi termica di materiali utilizzati nelle costruzioni meccaniche [1,2,3] hanno permesso di evidenziare come il rilievo della temperatura (terzo parametro) in prove statiche e dinamiche costituisca un indicatore molto importante ai fini della caratterizzazione dinamica del materiale. …”
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A two-tier optimization strategy for feature selection in robust adversarial attack mitigation on internet of things network security by Kashi Sai Prasad, P Udayakumar, E. Laxmi Lydia, Mohammed Altaf Ahmed, Mohamad Khairi Ishak, Faten Khalid Karim, Samih M. Mostafa

“…Abstract Adversarial attacks were commonly considered in computer vision (CV), but their effect on network security apps rests in the field of open investigation. As IoT, AI, and 5G endure to unite and understand the potential of Industry 4.0, security events and incidents on IoT systems have been enlarged. …”
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Diagnostics and Treatment of Peptic Ulcer in Adults (Clinical Guidelines of the Russian Gastroenterological Association, the Russian Society of Colorectal Surgeons, the Russian End... by V. Т. Ivashkin, I. V. Mayev, Р. V. Tsarkov, М. Р. Korolev, D. N. Andreev, Е. К. Baranskaya, D. S. Bordin, S. G. Burkov, А. А. Derinov, S. К. Efetov, Т. L. Lapina, Р. V. Pavlov, S. S. Pirogov, Е. А. Poluektova, А. V. Tkachev, А. S. Trukhmanov, А. I. Uljanin, Е. D. Fedorov, А. А. Sheptulin

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Construction and application of full-process intelligent venous thromboembolism prevention and control platform (全流程智能化静脉血栓栓塞症防控平台构建与应用) by LIU Qian (刘倩), LIU Wei (刘维), GUO Mengjie (郭梦洁), GUO Fangsu (郭芳素), LI Yunge (李昀阁), FENG Yifan (冯依凡), WANG Wuhua (王武化)

“…本研究阐述全流程智能化VTE防控平台构建过程中关于风险评估智能填充、AI预测模型构建、质控管理、专病数据库建立、随访小程序实施等的成效与经验, 以期为医院构建完善的VTE防治管理方案提供参考。)…”
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Scoring of swine lung images: a comparison between a computer vision system and human evaluators by Robert Valeris-Chacin, Beatriz Garcia-Morante, Marina Sibila, Albert Canturri, Isaac Ballarà Rodriguez, Ignacio Bernal Orozco, Ramon Jordà Casadevall, Pedro Muñoz, Maria Pieters

“…Therefore, this study aimed to compare CVPC scores provided by a computer vision system (CVS; AI DIAGNOS) from lung images obtained at slaughter, with scores assigned by human evaluators. …”
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In vitro study of resveratrol as an antioxidant for boar semen preservation: A systematic review by Ragil Angga Prastiya, Trilas Sardjito, Amung Logam Saputro, Sari Yanti Hayanti, Nining Haryuni, Samira Musa Sasi

“…Background and Aim: In the global pig farming industry, artificial insemination (AI) is widely used to propagate high-quality genetics using processed semen that can be stored for extended periods. …”
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Health profession students’ perceptions of ChatGPT in healthcare and education: insights from a mixed-methods study by Lior Moskovich, Violetta Rozani

“…These insights not only deepen our understanding of student perceptions of ChatGPT in healthcare education but also have significant implications for the future integration of AI in health profession practice. The study emphasizes the importance of a careful balance between leveraging the benefits of AI tools and addressing ethical and pedagogical concerns.…”
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Le pratiche turistiche dell’infanzia: una prospettiva rinnovata ? by Fiorella Dallari, Alessia Mariotti

“…Le pratiche turistiche dell’infanzia e dell’adolescenza costituiscono un tema trascurato nella ricerca turistica, sebbene la traiettoria di vita sino ai 17/18 anni sia da considerarsi importante per l’impatto psicologico e sociale nella formazione della soggettività. …”
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