Smart Healthy Schools: An IoT-enabled concept for multi-room dynamic air quality control by Alessandro Zivelonghi, Alessandro Giuseppi

“…Smart Healthy Schools (SHS) are a new paradigm in building engineering and infection risk control in school buildings where the disciplines of Indoor Air Quality (IAQ), IoT (Internet of Things) and Artificial Intelligence (AI) merge together. In the post-pandemic era, equipping schools with a network of smart IoT sensors has become critical to aspire for the optimal control of the IAQ and lowering the airborne infection risk of several pathogens, indirectly related to cumulated human emitted CO2 levels over time. …”
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Machine Learning-Based Relative Performance Analysis of Monocrystalline and Polycrystalline Grid-Tied PV Systems by Asfand Yar, Muhammad Yousaf Arshad, Faran Asghar, Waseem Amjad, Furqan Asghar, Muhammad Imtiaz Hussain, Gwi Hyun Lee, Faisal Mahmood

“…In this research study, the design and performance evaluation of grid-tied photovoltaic systems has been carried out through experimentation, HelioScope simulation, and black-box machine learning methods for data-driven artificial intelligence system performance assessment and validation. …”
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ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research by Michael R Ruta, Tony Gaidici, Chase Irwin, Jonathan Lifshitz

“… BackgroundChatGPT, a conversational artificial intelligence developed by OpenAI, has rapidly become an invaluable tool for researchers. …”
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Registered Nurses' Experience of Person‐Centred Care Through Digital Aids in Primary Care Setting During the COVID‐19 Pandemic by Annika Kjällman Alm, Ove Hellzen, Malin Rising‐Holmström

“…This meant implementing innovative digital tools or artificial intelligence and developing a mental frame of mind that embraces new ways and activities to perform primary care through technology. …”
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Problematic internet use and its relationship with eating disorders by Claudia Ruiz-Centeno, Raquel Cueto-Galán, Raquel Cueto-Galán, Raquel Cueto-Galán, Jose Miguel Pena-Andreu, Andrés Fontalba-Navas, Andrés Fontalba-Navas, Andrés Fontalba-Navas

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Advancing skeleton-based human behavior recognition: multi-stream fusion spatiotemporal graph convolutional networks by Fenglin Liu, Chenyu Wang, Zhiqiang Tian, Shaoyi Du, Wei Zeng

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Bilateral lower limb symmetry during sit-to-stand and stand-to-sit tasks in stroke patients with hemiplegia by Meijin Hou, Meijin Hou, Jian He, Dongwei Liu, Chenyi Guo, Ye Ma, Xiaobo Luo

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Letter and Person Recognition in Freeform Air-Writing Using Machine Learning Algorithms by Huseyin Kunt, Zeki Yetgin, Furkan Gozukara, Turgay Celik

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Accelerating AI-Based Battery Management System’s SOC and SOH on FPGA by Satyashil D. Nagarale, B. P. Patil

“…This article presents an experimental study for the artificial intelligence (AI)-based data-driven prediction of lithium battery parameters SOC and SOH with the help of deep learning algorithms such as Long Short-Term Memory (LSTM) and bidirectional LSTM (BiLSTM). …”
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Habitat Distributions and Abundance of Four Wild Herbivores on the Qinghai–Tibetan Plateau: A Review by Tian Qiao, Chiwei Xiao, Zhiming Feng, Junzhi Ye

“…Additionally, with the advancement of large models, AI (artificial intelligence) should be utilized for precise and rapid wildlife conservation. …”
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Assessment of ChatGPT-generated medical Arabic responses for patients with metabolic dysfunction-associated steatotic liver disease. by Saleh A Alqahtani, Reem S AlAhmed, Waleed S AlOmaim, Saad Alghamdi, Waleed Al-Hamoudi, Khalid Ibrahim Bzeizi, Ali Albenmousa, Alessio Aghemo, Nicola Pugliese, Cesare Hassan, Faisal A Abaalkhail

“…<h4>Background and aim</h4>Artificial intelligence (AI)-powered chatbots, such as Chat Generative Pretrained Transformer (ChatGPT), have shown promising results in healthcare settings. …”
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Prediction of Future Terrorist Activities Using Deep Neural Networks by M. Irfan Uddin, Nazir Zada, Furqan Aziz, Yousaf Saeed, Asim Zeb, Syed Atif Ali Shah, Mahmoud Ahmad Al-Khasawneh, Marwan Mahmoud

“…Machine learning methods have been recently explored to develop techniques for counterterrorism based on artificial intelligence (AI). Since deep learning has recently gained more popularity in machine learning domain, in this paper, these techniques are explored to understand the behavior of terrorist activities. …”
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Hybrid intelligence framework for optimizing shear capacity of lightweight FRP-reinforced concrete beams by Iman Faridmehr, Moncef L. Nehdi, Mohammad Ali Sahraei, Kiyanets Aleksandr Valerievich, Chiara Bedon

“…Incorporating artificial intelligence, sophisticated optimization methodologies, and thorough statistical evaluations establishes a holistic approach for the structural examination of FRP-RC beams, providing improved precision and valuable viewpoints for the refinement of future designs.…”
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Applications and Challenges of High-Throughput Phenotyping of Crops at Ground and Aviation Scales by Longyue CHEN, Dandan DUAN, Weibing XU, Zuolin LI, Chong ZHAO, Yi JIANG, Yonggang GAO, Wenqing ZUO

“…However, with the increasing development of cutting-edge technologies such as cloud big data processing platforms and artificial intelligence, which have great advantages in processing large-volume and high-complexity data, combined with biotechnology and genomics research methods, HTP of crops will play a pivotal role in combating food shortages caused by global environmental changes and population increase.…”
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Legal aspects of functional security standardisation of the Internet of Things by P. S. Klimushyn, V. Ye. Roh, T. P. Kolisnyk

“…To support the Internet of Things, technologies such as built-in devices, cloud and fog computing, big data processing, machine learning, and artificial intelligence are used to produce intelligent physical objects. …”
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A Novel Telerehabilitation System for Physical Exercise Monitoring in Elderly Healthcare by Muhammad Abrar Ashraf, Shaheryar Najam, Touseef Sadiq, Shabbab Algamdi, Hanan Aljuaid, Hameedur Rahman, Ahmad Jalal

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Type and physical intensity of occupations at pulmonary TB diagnosis by M. Saroufim, C. Geric, A. Majidulla, A. Abjani, G. Tavaziva, S. Saeed, A.J. Khan, F. Ahmad Khan

“…DESIGN/METHODS: We did a secondary analysis of data from a study evaluating the diagnostic accuracy of artificial intelligence-based chest X-ray (CXR) analysis software, where individuals had been evaluated for active PTB using sputum cultures and had provided information on occupation. …”
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Oncological challenges in GFAP-positive anaplastic meningioma: a case report and literature review by Minh Huu Nhat Le, Nghia Minh Tran, Thinh Linh Ho, Ky Vo Pham, Quynh-Nhu Le Vo, Duy T. K. Huynh, Huynh Phuong Thao Do, Phat Tuan Nguyen, Michael J. Diaz, Nhi Huu Hanh Le, Han Hong Huynh, Dang Nguyen, Minh Phuong Tang, Nguyen Quoc Khanh Le

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Development and Evaluation of the Immunogenic Potential of an Unmodified Nucleoside mRNA Vaccine for Herpes Zoster by Shun Zhang, Xiaojie Wang, Tongyi Zhao, Chen Yang, Lulu Huang

“…Methods: We utilized artificial intelligence (AI) to design several unmodified gE mRNA sequences for VZV, considering factors such as codon preference and secondary structure. …”
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Forecasting Foreign Exchange Volatility Using Deep Learning Autoencoder-LSTM Techniques by Gunho Jung, Sun-Yong Choi

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