BIM-Based Trajectory Planning for Unmanned Aerial Vehicle-Enabled Box Girder Bridge Inspection by Jiangpeng Shu, Zhe Xia, Yifan Gao

“…Thus, existing studies are limited by either manual or semi-automatic control restrictions on UAV navigation settings, which is the main motivation for our work. This research developed a building information modelling (BIM)-based trajectory planning approach to enable fully autonomous UAV navigation for box girder bridge inspection, where the UAV follows a predetermined sequence to traverse the environmental space of a box girder bridge. …”
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Awareness and Perspectives on the Role of Artificial Intelligence in Primary Care: Survey of Rural and Urban Primary Care Physicians in Alberta, Canada by Jose Uriel Perez

“…Lack of human connection was the main fear that was expressed regarding the use of AI in healthcare. …”
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Prediction of soil erosion control ecosystem service using machine learning based on the ANN model in Asia by Jamil Amanollahi, Shiva Gharibi, Arman Rastkhadiv

“…This approach can highlight the potential of Machine Learning Algorithms for predicting various Ecosystem Services and acts as a future research blueprint. …”
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The Future of Employment: Evaluating the Impact of STI Foresight Exercises by Ricardo Seidl da Fonseca

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Technology for Production of MSF-fuel – Direction Providing Transition to Circular Economy by B. M. Khroustalev, A. N. Pekhota, R. N. Vostrova, E. A. Pekhota

“…Some aspects of the conducted research on the production of multicomponent solid fuels are presented in the paper. …”
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Profitability Indicators: Critical Analysis and Applicability in Modern Conditions by S. A. Bondarenko, S. V. Pupentsova

“…Many years of experience of the authors of this article in the field of business valuation allowed to systematize the techniques of calculation of the main profitability indicators, to present an updated system of their grouping, as well as to classify the factors affecting them. …”
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Investigating the Relationship Between Drought Parameters and Food Security Using Data Mining Methods (Case study: Alborz Province) by Mohammad Ansari Ghojghar

“…On the other hand, the recent droughts are one of the main reasons for the instability in food security and food production in different regions of the world. …”
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The contribution of X to youth environmental movements addressing climate change: Effective impact or distorting noise? by Ángela Alonso-Jurnet, Ainara Larrondo Ureta, Jordi Morales-i-Gras

“…Given the significant influence and central role of the social media platform X (formerly Twitter) in promoting collective struggles and actions using hashtags, this study analyses the nature of the dialogue and the effectiveness of hashtags on the platform linked to the most controversial and subversive actions of these groups. Through an algorithmic analysis of nearly 280,000 tweets, the research characterises the main communities that have shaped the digital debate surrounding these ecological protest actions. …”
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EXPERIMENTAL TRIAL OF USING THE SCIENTIFIC MULTIBEAM ECHOSOUNDER DESIGNED TO DETECT FISH IN A WILD FIELD OF VIEW by G. M. Abdurakhmanov, A. A. Teymurov, A. A. Gadzhiev, A. N. Dolgov, A. N. Kutsenko, M. A. Raskita, S. V. Tretyakov

“…Experimental trial of using the scientific multibeam echosounder installed on the research vessel “Issledovatel Kaspiya” was conducted in the Caspian Sea with the purpose to detect fish in a wild field of view.Methods. …”
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Predicting Alzheimer's Disease onset: A machine learning framework for early diagnosis using biomarker data by Shehu Mohammed, Neha Malhotra

“…In response to the formulated research problem, this study articulates a new multimodal machine-learning framework for early AD diagnosis. …”
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Organization of Expert Activity on Digital Network Platforms by V. V. Zotov

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Predictive modeling for rework detection in sustainable building projects by AbdulLateef Olanrewaju, Kafayat Shobowale

“…The systemic solution to prevent rework in sustainable buildings is to predict the occurrence of rework. This research pursues two key objectives: first, to prioritise the primary predictors of rework in sustainable buildings; second, to evaluate the most suitable machine learning algorithms for accurately modelling rework occurrences by classifying the extent of rework in the sustainable buildings. …”
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Evaluating the feasibility of automating dataset retrieval for biodiversity monitoring by Alexandre Fuster-Calvo, Sarah Valentin, William C. Tamayo, Dominique Gravel

“…Automating these tasks through advanced algorithms holds immense potential to revolutionize biodiversity monitoring. …”
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Predicting the Open Porosity of Industrial Mortar Applied on Different Substrates: A Machine Learning Approach by Rafael Travincas, Maria Paula Mendes, Isabel Torres, Inês Flores-Colen

“…This database was then used to train and test the machine learning algorithms to predict the open porosity of the mortar. …”
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Enhancing e-learning through AI: advanced techniques for optimizing student performance by Rund Mahafdah, Seifeddine Bouallegue, Ridha Bouallegue

“…This study offers a thorough examination of how AI can be utilized to enhance e-learning results by employing advanced predictive methods and performance optimization strategies. The main goals consist of creating an AI-based framework to monitor and analyze student interactions, evaluating the influence of online learning platforms on student understanding using advanced algorithms, and determining the most efficient methods for blended learning systems. …”
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Nutrient estimation in the Peruvian upwelling system based on a neural network approach by Cristhian Asto, Cristhian Asto, Anthony Bosse, Alice Pietri, Raphaëlle Sauzède, Michelle Graco, Dimitri Gutiérrez, Dimitri Gutiérrez, François Colas

“…Using a neural network approach, the model was trained using extensive biogeochemical data spanning between 2003 and 2021, collected by the Peruvian Institute of Marine Research (IMARPE). Variables representing the low-frequency variability related to ENSO were introduced in the training and significantly improved the performance of the algorithm. …”
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Ethical and social issues in prediction of risk of severe mental illness: a scoping review and thematic analysis by Ivars Neiders, Signe Mežinska, Neeltje E. M. van Haren

“…The majority of the articles (83) are theoretical studies, 35 papers report results of empirical research and 11 are review papers. Qualitative thematic analysis of the included articles revealed four main themes: 1) Potential benefits and harms; 2) Rights and responsibilities; 3) Counselling, education and communication; 4) Ethical issues in different applications. …”
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Analysis of immunogenic cell death in periodontitis based on scRNA-seq and bulk RNA-seq data by Erli Wu, Xuan Yin, Feng Liang, Xianqing Zhou, Jiamin Hu, Wanting Yuan, Feihan Gu, Jingxin Zhao, Ziyang Gao, Ming Cheng, Shouxiang Yang, Lei Zhang, Qingqing Wang, Qingqing Wang, Xiaoyu Sun, Xiaoyu Sun, Wei Shao, Wei Shao

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Laparoscopic Suture Gestures Recognition via Machine Learning: A Method for Validation of Kinematic Features Selection by Juan M. Herrera-Lopez, Alvaro Galan-Cuenca, Antonio J. Reina, Isabel Garcia-Morales, Victor F. Munoz

“…Research in this task has utilized both image data, mainly using Deep Learning and Convolutional Neural Networks, and kinematic data extracted from the surgeons’ instruments, processing kinematic sequences with Markov models, Recurrent Neural Networks and even unsupervised learning techniques. …”
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Single-Frame Infrared Target Detection Based on Fast Content-Related Modeling by Zipeng Zhang, Xidong Zhao, Wenzheng Wang, Yuqi Han, Chenwei Deng, Zhuokai Li, Linbo Tang

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