The Use of Wearable Sensors and Machine Learning Methods to Estimate Biomechanical Characteristics During Standing Posture or Locomotion: A Systematic Review by Isabelle J. Museck, Daniel L. Brinton, Jesse C. Dean

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Artificial intelligence derived grading of mustard gas induced corneal injury and opacity by Rajnish Kumar, Devansh M. Sinha, Nishant R. Sinha, Ratnakar Tripathi, Nathan Hesemann, Suneel Gupta, Anil Tiwari, Rajiv R. Mohan

“…Mask-RCNN was employed for precise corneal segmentation and extraction, followed by classification using baseline convolutional neural network and transfer learning algorithms, including VGG16, ResNet101, DenseNet121, InceptionV3, and ResNet50. …”
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Evaluating visitor perception and spatial preferences of various museums based on machine learning from 2016 to 2024. by Yuandi Jiang, Kalyna Pashkevych, Shibo Bi

“…Based on the comprehensive perspective of typology and spatio-temporal dynamic evolution, this study not only provides empirical support for museum space optimization, but also provides new ideas and strategies for functional research and methodological insights of public spaces.…”
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Barriers, Drivers, and Social Considerations for AI Adoption in Supply Chain Management: A Tertiary Study by Johannes Hangl, Viktoria Joy Behrens, Simon Krause

“…<i>Results</i>: As a summary of the results, the main areas of AI in SCM were algorithms, followed by the Internet of Things (IoT). …”
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A Theoretical Study of Structural, Electronic, and Vibration Properties of Acetylcholine Chloride and Bromide by Kirill A. Gordienko, Aleksei B. Gordienko, Yurii N. Zhuravlev

“…The ever-growing capabilities of computing systems and algorithms make the first-principle methods extremely important in such research fields as biologically active compounds and complex biological systems. …”
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Exosomal microRNA signatures in youth at clinical high risk for bipolar disorder by Xinyu Meng, Shengmin Zhang, Yingzhen Xu, Zaohui Ma, Shuzhe Zhou, Yantao Ma, Hong Ma, Xin Yu, Lili Guan

“…Using machine-learning algorithms, target miRNAs were selected from differentially expressed candidates. …”
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Convolutional Neural Network-Based Approach for Cobb Angle Measurement Using Mask R-CNN by Marcos Villar García, José-Benito Bouza-Rodríguez, Alberto Comesaña-Campos

“…<b>Objectives:</b> The objective of this study was to address three key research questions regarding automated Cobb angle quantification: “Where is the spine in this radiograph?”…”
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Constitutional-Legal Aspect of Creating Large Language Models: the Problem of Digital Inequality and Linguistic Discrimination by I. G. Ilin

“…While direct forms of discrimination can be detected in predictive algorithms, generative models create more subtle but no less significant cumulative effects. …”
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Ion channel classification through machine learning and protein language model embeddings by Ghazikhani Hamed, Butler Gregory

“…We employ a comprehensive array of machine learning algorithms, including k-Nearest Neighbors, Random Forest, Support Vector Machines, and Feed-Forward Neural Networks, alongside a novel Convolutional Neural Network (CNN) approach. …”
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Estimating river water level using satellite altimetry and water surface temperature data in a regulated subtropical river by Qi Wang, Hailong Wang

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Planning Crop Production with the Use of Digital Technologies by V. V. Alt, S. P. Isakova

“…Agricultural production is shown to be associated with land distribution, variety of agricultural technologies, climatic variability, information diversity, complex algorithms for strategic and tactical decision making. …”
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Temporal causal inference with stochastic audiovisual sequences. by Shannon M Locke, Michael S Landy

“…Integration of sensory information across multiple senses is most likely to occur when signals are spatiotemporally coupled. Yet, recent research on audiovisual rate discrimination indicates that random sequences of light flashes and auditory clicks are integrated optimally regardless of temporal correlation. …”
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AI based natural inhibitor targeting RPS20 for colorectal cancer treatment using integrated computational approaches by Nouman Ali, Roman Akbar, Amna Saleem, Adeeba Ali, Aamir Ali

“…Abstract The increasing global incidence of cancer emphasizes the vital role of machine learning algorithms and artificial intelligence (AI) in identifying novel anticancer targets and developing new drugs. …”
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Evaluation and optimization of adaptive cruise control in autonomous vehicles using the car learning to act simulator: A performance evaluation under various weather conditions by Roza Al-Hindawi, Taqwa Alhadidi

“…Therefore, this study used the Hill Climb (HC) and Tabu Machine Learning (ML) algorithms to optimize the speed of the ego vehicle to maintain a safe spacing distance between it and the leading vehicle by training and developing CARLA using a Bayesian Network (BN).…”
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A comparative analysis of emotion recognition from EEG signals using temporal features and hyperparameter-tuned machine learning techniques by Rabita Hasan, Sheikh Md. Rabiul Islam

“…These results emphasize the effectiveness of combining advanced feature extraction methods with boosting algorithms for EEG-based emotion recognition, offering promising directions for the development of real-world emotion-aware systems. …”
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Freedom of Speech and Expression in the Digital Age: Philosophical Analysis and Social Security Challenges by Tatiana Yu. Lifanova, Sergey A. Lifanov, Alexey V. Verevkin

“…The materials are based on contemporary research in philosophy, media education and digital technologies. …”
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A Systematic Survey of Machine Learning and Deep Learning Models Used in Industrial Internet of Things Security by Ersin Enes Eryılmaz, Erdal Kılıç, Yankı Ertek, Sedat Akleylek

“…The primary objective of this systematic survey is to address research questions by discussing the advantages and disadvantages of DL and ML algorithms used in IoT security. …”
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Innovations of Contemporary Artificial Intelligence: Value-Based Approach by R. I. Mamina, A. V. Ilina

“…The sources used in the article are scientific research of domestic and foreign authors, documents, publications and websites devoted to the current state of AI and its problems.Results and discussion. …”
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Understanding user experience for mobile applications: a systematic literature review by Guoying Lu, Siyuan Qu, Yining Chen

“…Additionally, the integration of complex algorithms has enhanced MAUX’s theoretical framework and methodological approaches. …”
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A Study on Staging Cystic Echinococcosis Using Machine Learning Methods by Tuvshinsaikhan Tegshee, Temuulen Dorjsuren, Sungju Lee, Dolgorsuren Batjargal

“…Specifically, CNN+ResNet, selected as the best model, achieved 97.55% accuracy on CT images, 93.99% accuracy on US images, and 100% accuracy on MRI images. This research underscores the potential of hybrid and pre-trained models in advancing medical image classification, providing a promising approach to improving the differential diagnosis of CE disease.…”
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