Effects of Covid-19 Pandemic on School Dropout in Selected Primry Schools in Nyarusiza Sub-County Kisoro District. by Sibo, Dusabe Chris Jackson

“…Innovative approaches could be used such as applications of artificial intelligence in high-risk/high-traffic sites to enhance COVID-19 detection efficiency while protecting medical staff and the general public from cross-infections The government should establish a physical and automated platform for coordination and resource mobilization for support to the poor pupils and the most vulnerable groups affected by COVID-19-related lockdown.…”
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Pengembangan Deep Learning untuk Sistem Deteksi Dini Komplikasi Kaki Diabetik Menggunakan Citra Termogram by Medycha Emhandyksa, Indah Soesanti, Rina Susilowati

“…In addition, the research conducted can be an opening or preliminary research on the design of an early detection system for diabetic foot complications using deep learning artificial intelligence-based thermography in Indonesia. …”
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Development and validation of a prognostic prediction model for elderly gastric cancer patients based on oxidative stress biochemical markers by Xing-Qi Zhang, Ze-Ning Huang, Ju Wu, Chang-Yue Zheng, Xiao-Dong Liu, Ying-Qi Huang, Qi-Yue Chen, Ping Li, Jian-Wei Xie, Chao-Hui Zheng, Jian-Xian Lin, Yan-Bing Zhou, Chang-Ming Huang

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Minimal Diagnosis and Diagnosability of Discrete-Event Systems Modeled by Automata by Xiangfu Zhao, Gianfranco Lamperti, Dantong Ouyang, Xiangrong Tong

“…In the last several decades, the model-based diagnosis of discrete-event systems (DESs) has increasingly become an active research topic in both control engineering and artificial intelligence. However, in contrast with the widely applied minimal diagnosis of static systems, in most approaches to the diagnosis of DESs, all possible candidate diagnoses are computed, including nonminimal candidates, which may cause intractable complexity when the number of nonminimal diagnoses is very large. …”
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La prochaine génération de téléphonie mobile (5G) et ses implications (Infrastructure, Réglementation) by Edward M. Roche, Benjamin H. Dickens-Jr., Walker Townes

“…Software Defined Networks (SDN) will be set up and torn down, grown and lessened according to demand.Complex network management will be done by Machine Learning (ML) and Artificial Intelligence (AI). But for all of this to work properly, major carriers will need to accept international standards and open up their interfaces to outsiders, even to competitors. …”
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A Modified Fully Convolutional Network for Crack Damage Identification Compared with Conventional Methods by Meng Meng, Kun Zhu, Keqin Chen, Hang Qu

“…With the development of artificial intelligence especially the combination of deep learning and computer vision, greater advantages have been brought to the concrete crack detection based on convolutional neural network (CNN) over the traditional methods. …”
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Estimation of Bearing Capacity of Strip Footing Rested on Bilayered Soil Profile Using FEM-AI-Coupled Techniques by Ahmed M. Ebid, Kennedy C. Onyelowe, M. Salah

“…Multiple numerical data were generated for the case under study and artificial intelligence (AI)-based techniques; generalized reduced gradient (GRG), genetic programming (GP), artificial neural network (ANN), and evolutionary polynomial regression (EPR) were used to predict the UBC. …”
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Integrated Simulation Environment for Unmanned Autonomous Systems—Towards a Conceptual Framework by M. G. Perhinschi, M. R. Napolitano, S. Tamayo

“…The conceptual framework for the simulation environment is formulated with flexibility, modularity, generality, and portability as key objectives. The development of the conceptual framework for the UAS simulation reveals important aspects related to the mechanisms and interactions that determine specific UAS characteristics including complexity, adaptability, synergy, and high impact of artificial and human intelligence on system performance and effectiveness.…”
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Enhancing Brain Tumor Detection: A Comparative Study of CNN Architectures Using MRI Data by Zhu Zhimeng

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A review on techno-economic analysis of lignocellulosic biorefinery producing biofuels and high-value products by Ronak Patel, T.S. Rajaraman, Paresh H. Rana, Nikita J. Ambegaonkar, Sanjay Patel

“…Key issues and opportunities for LCB-based biorefineries, in general, for CBE have also been addressed. Finally, the role of policy mechanisms, Artificial Intelligence (AI) and other data-driven technologies are also discussed in the biorefinery context.…”
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Pursuit on the plane by objects moving away from the trajectory of defending object, with simulation of detection area by A. А. Dubanov, T. V. Ausheev

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User and Developer Views on Using AI Technologies to Facilitate the Early Detection of Skin Cancers in Primary Care Settings: Qualitative Semistructured Interview Study by Owain Tudor Jones, Natalia Calanzani, Suzanne E Scott, Rubeta N Matin, Jon Emery, Fiona M Walter

“…Earlier detection of skin cancer leads to better outcomes for patients. Artificial intelligence (AI) technologies have been applied to skin cancer diagnosis, but many technologies lack clinical evidence and/or the appropriate regulatory approvals. …”
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A Comprehensive Survey of Deep Learning Approaches in Image Processing by Maria Trigka, Elias Dritsas

“…Additionally, it highlights the potential of combining DL with emerging technologies such as edge computing and explainable artificial intelligence (AI) to address scalability and interpretability challenges. …”
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Vietnamese Sentiment Analysis under Limited Training Data Based on Deep Neural Networks by Huu-Thanh Duong, Tram-Anh Nguyen-Thi, Vinh Truong Hoang

“…The annotated dataset is an essential requirement to develop an artificial intelligence (AI) system effectively and expect the generalization of the predictive models and to avoid overfitting. …”
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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

“…IoT technologies provide smart things with the ability to make decisions in the management of physical objects using intelligence and consensus. 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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Modelo de aprendizaje para la selección de un proyecto diseño-construcción (llave en mano) en el sector público A learning model for design-build project selection in the public se... by Alfonso Bastias, Keith R Molenaar

“…This model adjusts parameters and functions using artificial intelligence as the main knowledge engine. …”
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Key n-Gram Extractions and Analyses of Different Registers Based on Attention Network by Haiyan Wu, Ying Liu, Shaoyun Shi, Qingfeng Wu, Yunlong Huang

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Reinforcement learning for deep portfolio optimization by Ruyu Yan, Jiafei Jin, Kun Han

“…Portfolio optimization is an important financial task that has received widespread attention in the field of artificial intelligence. In this paper, a novel deep portfolio optimization (DPO) framework was proposed, combining deep learning and reinforcement learning with modern portfolio theory. …”
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Health and Experiences During the COVID-19 Pandemic Among Children and Young People: Analysis of Free-Text Responses From the Children and Young People With Long COVID Study by Natalia K Rojas, Sam Martin, Mario Cortina-Borja, Roz Shafran, Lana Fox-Smith, Terence Stephenson, Brian C F Ching, Anaïs d'Oelsnitz, Tom Norris, Yue Xu, Kelsey McOwat, Emma Dalrymple, Isobel Heyman, Tamsin Ford, Trudie Chalder, Ruth Simmons, Snehal M Pinto Pereira

“…MethodsA total of 8224 free-text responses from children and young people were analyzed using InfraNodus, an artificial intelligence–powered text network analysis tool, to determine the most prevalent topics. …”
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Do you think medicines can be prescribed in a more eco-directed, greener way? A qualitative study based on public and prescriber focus groups on the impact of pharmaceuticals in Sc... by Claire Anderson, Lydia Niemi, Naoko Arakawa, Mark Taggart, Stuart Gibb, Sharon Pfleger

“…Focus groups were digitally recorded and transcribed verbatim using an artificial intelligence system, then anonymised and thematically analysed using NVivo software. …”
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