Machine learning and facial recognition for down syndrome detection: A comprehensive review by Khosro Rezaee

“…Traditionally diagnosed through clinical assessments, Down syndrome, a genetic disorder characterized by distinctive facial features, has benefited from recent advancements in computer vision and artificial intelligence (AI). This paper explores various facial analysis techniques, including deep convolutional neural networks (DCNNs) and hybrid models combining traditional image processing with deep learning. …”
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Enhancing Energy Efficiency in Photovoltaic Systems through Smart Technology Integration: Innovations and Future Perspectives by Lin Caiwei

“…As demand for renewable energy rises, innovations in smart artificial intelligence (AI), the Internet of Things (IoT), and big data analytics are being utilized to enhance the efficiency and reliability of PV systems. …”
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APPLIED AI IN NEOM CONSTRUCTION PROJECTS: THE POTENTIAL IMPACT OF AI IN ENHANCING PROJECTS SUCCESS by Mohammad Allouzi, Mohammad Aljaafreh

“…The contemporary construction industry is experiencing a profound paradigm shift characterized by the widespread integration of Artificial Intelligence (AI), a technological innovation that is significantly redefining the landscape of project management and execution. …”
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Handwriting Digital Image Generation based on GAN: A Comparative Study of Basic GAN and CGAN Models by Zeng Hongzhi

“…The vast application of artificial intelligence in numerous fields—image generation being one of them—has been made possible by the quick development of deep learning. …”
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The benefits of being between (many) fields: Mapping the high-dimensional space of AI research by Glen Berman, Kate Williams, Eliel Cohen

“…This article considers how the emerging Artificial Intelligence (AI) research field is constructed, primarily in university settings. …”
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Long Memory of Pathfinding Aesthetics by Ron Coleman

“…The results we report are important firstly because the artificial intelligence literature has given relatively little attention to aesthetic considerations in pathfinding. …”
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GTrust: Group Extension for Trust Models in Distributed Systems by Robson de Oliveira Albuquerque, Luis Javier García Villalba, Tai-Hoon Kim

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Are robots coming to take the jobs of dental support staff? Ai applications in business management of dental practices by Alessandro Quaranta, Wang Lai Hui

“…The integration of artificial intelligence (AI) in dental practices is transforming traditional business management roles. …”
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Embracing Change in the Modern Working Environment: Exploring the Role of Trust, Experimentation, and Adaptability in the Acceptance of New Technologies by Eva Gößwein, Magnus Liebherr

“…Based on the Technology Acceptance Model (TAM) and the Artificial Intelligence Acceptance Model (AIAM), this study examines if individual adaptability, trust in technology, as well as openness and willingness to experiment influence technology acceptance in the working environment. …”
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An Approach of Lebesgue Integral in Fuzzy Cone Metric Spaces via Unique Coupled Fixed Point Theorems by Muhammad Talha Waheed, Saif Ur Rehman, Naeem Jan, Abdu Gumaei, Mabrook Al-Rakhami

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Challenges and opportunities for digital twins in precision medicine from a complex systems perspective by Manlio De Domenico, Luca Allegri, Guido Caldarelli, Valeria d’Andrea, Barbara Di Camillo, Luis M. Rocha, Jordan Rozum, Riccardo Sbarbati, Francesco Zambelli

“…Abstract Digital twins (DTs) in precision medicine are increasingly viable, propelled by extensive data collection and advancements in artificial intelligence (AI), alongside traditional biomedical methodologies. …”
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Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends by Lina Elmoiz Alatabani, Elmustafa Sayed Ali, Rania A. Mokhtar, Rashid A. Saeed, Hesham Alhumyani, Mohammad Kamrul Hasan

“…Recently, artificial intelligence (AI) technology has great attention in transportation systems, which led to the emergence of a new concept known as Internet of Vehicles (IoV). …”
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Chimera State in the Network of Fractional-Order FitzHugh–Nagumo Neurons by Janarthanan Ramadoss, Sajedeh Aghababaei, Fatemeh Parastesh, Karthikeyan Rajagopal, Sajad Jafari, Iqtadar Hussain

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Neurotourism Insights: Eye Tracking and Galvanic Analysis of Tourism Destination Brand Logos and AI Visuals by Víctor Calderón-Fajardo, Rafael Anaya-Sánchez, Francisco Rejón-Guardia, Sebastian Molinillo

“…It analyses how tourism destination brand logos/combination marks and images generated by artificial intelligence (AI) influence consumer attention and emotional response. …”
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Telemedicine in Diabetic Retinal Screening: Pre- and Post-COVID-19 Challenges a New Perspective by Arshi Baig, Azhar Zafar

“…Before the pandemic, there have been studies illustrating the use of artificial intelligence (AI) to analyse images obtained from patients screened for monitoring of their diabetic retinopathy. …”
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Original scientific paper optimization of ventilation using IIOT methodology in Serbian coal mines by Ilić Aleksandra, Petrović Dejan

“…Some global mining companies have already implemented numerous technical solutions in the field of robotics, artificial intelligence and the Internet of Things (IoT). …”
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Compass, oceans and world politics. Book review of the collective monograph ‘International relations: Facets of the present and the future’ by A. V. Belinsky

“…These new factors include artificial intelligence, education, digital security, the climate crisis, ‘soft power’, etc. …”
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5G urban rail traffic scenario classification and channel modeling by Ruisi HE, Bo AI, Zhangdui ZHONG, Mi YANG, Chen HUANG, Zhangfeng MA, Guiqi Sun, Hang MI, Chengyi ZHOU, Ruifeng CHEN

“…Urban rail traffic is an important part of modern transportation infrastructure.As a new generation of mobile communication technology, 5G can provide high data rate and low latency wireless transmission, which helps to improve the efficiency and service quality of urban rail traffic system.Due to the complexity of urban rail traffic scenarios, accurate communication scenario classification, channel characterization and channel models are required to provide theoretical support for the design of urban rail traffic 5G communication systems.The classification of 5G urban rail traffic radio propagation scenarios to support channel measurements and modeling was proposed.Current status of urban rail traffic channel measurements and modeling was shown, and the current challenges were analyzed.The applications of artificial intelligence in channel feature extraction and channel modeling were discussed, and the 5G urban rail traffic channels by considering reconfigurable intelligent surface and unmanned aerial vehicle were analyzed.Finally, the research on 5G urban rail traffic channel modeling at millimeter wave frequency band was described.…”
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An Overview of Application of Machine Learning Models in Urban Flood Simulation and Forecasting by CHEN Zeming, FANG Xuhong, LI Jiaye, WANG Mengyao, CHEN Aifang, YIN Ling

“…The rapidly developed artificial intelligence technology gradually shows great potential and value in urban flood simulation and forecasting. …”
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An Overview of Application of Machine Learning Models in Urban Flood Simulation and Forecasting by CHEN Zeming, FANG Xuhong, LI Jiaye, WANG Mengyao, CHEN Aifang, YIN Ling

“…The rapidly developed artificial intelligence technology gradually shows great potential and value in urban flood simulation and forecasting. …”
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