Measuring place rather than space: integrating landscape qualities for the urban–rural gradient using people’s perceptions and machine learning by Michal Switalski, Maarten Van Strien, Adrienne Grêt-Regamey

“…A representative online survey (N = 10,042) was used to calculate people’s subjective valuations through street view images. The objective measures were obtained from existing national-level data platforms. …”
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A systematic review of machine learning approaches in cochlear implant outcomes by Anu Prasad Sreenivasan Nair, Srikanta K. Mishra, Pedro Andres Alba Diaz

“…A comprehensive search identified 20 relevant studies. Imaging-based studies demonstrated high predictive accuracy for language and speech perception outcomes. …”
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Implicit neural representation for fast 4D computed tomography of multiphase flow in porous media by Henrik Friis, Håkon Nese, Giacomo Luani, Colin Pryme, Lars Rennan, Basab Chattopadhyay, Anders Kristoffersen, Ole Jakob Mengshoel, Dag Werner Breiby

“…Obtaining high-quality 4D-CT images is challenging because a high data acquisition rate must be combined with bespoke algorithms for faithful reconstruction. …”
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Kidney transplantation and hyperparathyroidism by O. N. Vetchinnikova

“…The characteristic clinical and laboratory signs of posttransplant hyperparathyroidism are bone lesions, kidney graft abnormalities, hypercalcemia, and hypophosphatemia. The diagnostic algorithm includes monitoring the markers of mineral and bone metabolism, determining the bone mineral density, and imaging of thyroid glands. …”
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Evaluation of Neural, Systemic and Extracerebral Activations During Active Walking Tasks in Older Adults Using fNIRS by Meltem Izzetoglu, Roee Holtzer

“…Such involved designs further allowed the implementation of advanced signal processing algorithms to separate and evaluate neural, systemic and extracerebral signal contributions on the overall measurements. …”
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Applications, Challenges, and Future Perspectives of Artificial Intelligence in Psychopharmacology, Psychological Disorders and Physiological Psychology: A Comprehensive Review by Mohammad Hossein Salemi, Elham Foroozandeh, Molouk Khademi Ashkzari

“…AI tools improve diagnostic accuracy by analyzing brain imaging, health records, and behavioral data, enabling precise identification of disorders like depression and schizophrenia. …”
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Features of Differential Diagnosis of Breast Implant Rupture and Breast Implant-Associated Anaplastic Large Cell Lymphoma by A. A. Nekrasov, N. P. Korableva, N. S. Romanenkov, A. G. Grigoryan, Ya. V. Cekhmistro

“…Such patients examining algorithm should include breast ultrasound, magnetic resonance imaging, puncture of the breast under sonographic navigation, cytological examination of the obtained fluid. …”
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Real-Time Waste Detection and Classification Using YOLOv12-Based Deep Learning Model by Mosharof Hossain Dipo, Fahmid Al Farid, Md. Sifti Al Mahmud, Muntasir Momtaz, Shakila Rahman, Jia Uddin, Hezerul Abdul Karim

“…To enable the recycling process to be optimized and to minimize environmental impact, waste materials must be well detected and classified. …”
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Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient management by Fang Cao, Yujie Yang, Cui Guo, Hui Zhang, Qianying Yu, Jing Guo

“…AI has various innovative applications in the diagnosis and treatment of atopic dermatitis, with particular emphasis on its significant benefits in medical diagnosis, treatment monitoring, and patient care. AI algorithms, especially those that use deep learning techniques, demonstrate strong performance in recognizing skin images and effectively distinguishing different types of skin lesions, including common AD manifestations. …”
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A Systematic Review of Sensor-Based Methods for Measurement of Eating Behavior by Delwar Hossain, J. Graham Thomas, Megan A. McCrory, Janine Higgins, Edward Sazonov

“…The review highlights the advantages and limitations of methods that measure and monitor different eating metrics using a combination of sensor modalities and machine learning algorithms. Furthermore, it emphasizes the importance of testing these methods outside of restricted laboratory conditions, and it highlights the necessity of further research to develop privacy-preserving approaches, such as filtering out non-food-related sounds or images, to ensure user confidentiality and comfort. …”
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A Data-Driven Machine Vision Framework for Quality Management in Photovoltaic Module Manufacturing by In-Bae Lee, Youngjin Kim, Sojung Kim

“…Particularly, the framework uses machine vision to analyze image data collected from an actual PV module manufacturing facility in South Korea. …”
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Detection system of multi-track intelligent inspection robot for urban rail vehicles by WU Hongbo, QIU Weiming, WANG Jing, ZHU Linsen

“…The multi-track intelligent inspection robot detection system of urban rail vehicles realized automatic detection of the bottom and both sides of subway vehicles by adopting intelligent robot technology, SLAM (Simultaneous Localization and Mapping) technology, multi-degree-of-freedom flexible cooperative manipulator control technology, high-definition optical imaging technology and AI (Artistic Intelligence) algorithm, as well as automatic early warning of abnormal situations such as deformation, looseness, missing and foreign bodies of key components of vehicle running gear. …”
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Unique temperature change patterns in calves eyes and muzzles: a non-invasive approach using infrared thermography and object detection by Sueun Kim, Norio Yamagishi, Shingo Ishikawa, Shinobu Tsuchiaka

“…A mobile thermal imaging camera was paired with the Mask R-CNN algorithm (object detection) trained on annotated datasets to detect eye and muzzle regions accurately. …”
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Development of the Model of Diagnostics of Design-Technological Thinking in Secondary School Students in the Subject of Labor (Technology) in the Module “Robotics and Automated Sys... by Yakov M. Mashukov

“…A model of the mental image of physical objects is used, in which the procedural and algorithmic component is encapsulated. …”
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Effortless Student Attendance: A Smart Human-Computer Interactive System Using Real Time Facial Recognition by Ahmad S. Lateef, Mohammed Y. Kamil

“…Objective: Recording attendance is a critical process in academic institutions due to its significant impact on student performance and engagement. …”
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SFFNet: Shallow Feature Fusion Network Based on Detection Framework for Infrared Small Target Detection by Zhihui Yu, Nian Pan, Jin Zhou

“…Infrared small target detection (IRSTD) is the process of recognizing and distinguishing small targets from infrared images that are obstructed by crowded backgrounds. …”
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Effect of Low-Dose MDCT and Iterative Reconstruction on Trabecular Bone Microstructure Assessment. by Felix K Kopp, Konstantin Holzapfel, Thomas Baum, Radin A Nasirudin, Kai Mei, Eduardo G Garcia, Rainer Burgkart, Ernst J Rummeny, Jan S Kirschke, Peter B Noël

“…We investigated the effects of low-dose multi detector computed tomography (MDCT) in combination with statistical iterative reconstruction algorithms on trabecular bone microstructure parameters. …”
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Deep Learning-Based Draw-a-Person Intelligence Quotient Screening by Shafaat Hussain, Toqeer Ehsan, Hassan Alhuzali, Ali Al-Laith

“…The primary objective of our research is to streamline the IQ screening process for psychologists by leveraging deep learning algorithms. …”
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Suppressing the Endogenous Negative Influence Through Node Intervention in Social Networks by Satoshi Furutani, Tatsuhiro Aoshima, Toshiki Shibahara, Mitsuaki Akiyama, Masaki Aida

“…However, most of them ignore the possibility of the emergence of negative opinions in the information diffusion process. In general, negative opinions are more contagious than positive ones, and ignoring them may even lead undesirable outcomes, such as a decline in brand image and a decrease in purchases. …”
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Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…Generative AI in Medical Writing Generative AI tools or “chatbots” combine the adaptive learning capabilities of deep learning algorithms and natural language processing, resulting in a virtual assistant or aide that is capable of answering queries, following commands, and improving its responses according to the vast data available on the Internet in addition to user responses.3 This has allowed the accomplishment of various complex tasks within seconds that would otherwise require hours of trial and error. …”
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