Application of artificial intelligence in electrochemical diagnostics for human health by Koushlesh Ranjan, Basanti Barar, Minakshi Prasad, Gaya Prasad

“…Abstract Electrochemical sensors, detecting biochemical changes through electrical signals, play a pivotal role in point-of-care diagnostics, especially for detecting specific biomarkers for diseases including cancer, diabetes, obesity, cardiovascular conditions, etc. …”
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High-sensitivity cardiac troponins: circadian rhythms by A. M. Chaulin, D. V. Duplyakov

“…High-sensitivity cardiac troponins (hs-cTnI and hs-cTnT) contribute to a progression in the diagnosis and treatment of cardiovascular diseases: acceleration of diagnosis of acute myocardial infarction (early diagnostic algorithms: 0-1 h, 0-3 h), and earlier initiation of optimal treatment, expansion of diagnostic and prognostic potential (earlier detection of myocardial damage during chemotherapy, endocarditis, myocarditis and other diseases). …”
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Artificial intelligence applications in pediatric ophthalmology: A comprehensive review by Anupama Janardhanan, Meenakshi Ravindran, Allapitchai Fathima, Neelam Pawar

“…The future of AI in pediatric ophthalmology appears bright, with ongoing research aimed at optimizing algorithms, personalizing treatment, and expanding telemedicine capabilities. …”
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Novel Condition Monitoring Method for Wind Turbines Based on the Adaptive Multivariate Control Charts and SCADA Data by Qinkai Han, Zhentang Wang, Tao Hu

“…After comparing the regression accuracy of several popular algorithms in the MRA, the random forest is adopted for feature selection and regression prediction. …”
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Decision Fusion System for Bolted Joint Monitoring by Dong Liang, Shen-fang Yuan

“…Finally, three fusion algorithms, which consist of majority voting, Bayesian belief, and multiagent method, are adopted for comparison in a real-world monitoring experiment for the large aviation aluminum plate. …”
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Computational intelligence investigations on evaluation of salicylic acid solubility in various solvents at different temperatures by Adel Alhowyan, Wael A. Mahdi, Ahmad J. Obaidullah

“…Abstract This research shows the utilization of various tree-based machine learning algorithms with a specific focus on predicting Salicylic acid solubility values in 13 solvents. …”
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Introduction pages, Nova Geodesia 5(3), 2025 by Paul SESTRAS

“…Among the exciting articles, we invite readers to find news about: Leveraging carbon financing technologies for enhancing rural livelihood resilience in climate-vulnerable communities: A global perspective; An investigation into particulate soil quality materials and the relationship with selected aggregate stability in four contrasting soils; Current status and integrated restoration approaches in Haramaya Lake Watershed development; Multi-Resolution analysis of gravity anomalies: A comparative study of modern and spherical approximation techniques; Integration of UAV-Derived Digital Elevation Model and GNSS for Orthometric Height Determination in Urban Mapping; Multi-decadal change detection of coastal dune landscapes using different supervised image classification algorithms; SBAS-InSAR analysis for deformation monitoring in landslide-prone areas: A case study of Murang’a and Nyeri Counties in Kenya. …”
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The Role of Three Plasma Proteins in the Diagnosis of Ovarian Tumors by Valeria Racheva, Adelaida Ruseva, Svetlana Mateva, Ivan Malkodanski

“…Numerous such panels of biomarkers and algorithms have been developed for the early diagnosis and differentiation of OC from other benign ovarian diseases. …”
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Paraneoplastic Leser-Trélat Syndrome: Clinical Manifestations, Diagnosis and Treatment by T. A. Gaydina, A. S. Dvornikov, P. A. Skripkina

“…Dermatological paraneoplastic syndromes require further in-depth study to understand the pathogenesis, create a clear classification and develop algorithms for the doctor’s actions in case of their detection.…”
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Analysis of Generalization Ability for Different AdaBoost Variants Based on Classification and Regression Trees by Shuqiong Wu, Hiroshi Nagahashi

“…As a machine learning method, AdaBoost is widely applied to data classification and object detection because of its robustness and efficiency. …”
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Dual-stage gated segmented multimodal emotion recognition method by MA Fei, LI Shuzhi, YANG Feixia, XU Guangxian

“…Multimodal emotion recognition has broad applications in mental health detection and affective computing. However, most existing methods rely on either global or local features, neglecting the joint modeling of both, which limits emotion recognition performance. …”
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AI IN CYBER DEFENSE: PRIVACY RISKS, PUBLIC TRUST, AND POLICY CHALLENGES by Abdullah Azizi, Mohammad Qias Mohammadi, Abdul Wahid Samadzai

“…The results reveal that while AI-based systems improve threat detection and response times, they also raise significant concerns about data privacy, surveillance, and the potential for algorithmic bias. …”
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Generation of Genuine Multipartite Entangled States via Indistinguishability of Identical Particles by Kobra Mahdavipour, Farzam Nosrati, Stefania Sciara, Roberto Morandotti, Rosario Lo Franco

“…The presented theoretical approach, while already implementable with current linear optics architectures, has the potential to bring clear advantages over existing technologies, such as in quantum computing search algorithms and in the design of new experiments in quantum optics or other platforms.…”
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Fault Type Determination on Distribution Networks Lines within Functions of Microprocessor Current Protections by F. A. Romaniuk, A. A, Tishechkin, E. V. Buloichyk

“…The noted disadvantages can be eliminated by changing the current settings of steps in concordance with detected two-phase fault modes. Asymmetrical fault mode detection can be carried out through checking of a relative asymmetry of currents in the line phases. …”
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Delineating the Spatial Boundaries of Megaregions in China: A City Network Perspective by Wei Chen

“…In this study, on the basis of highway traffic flow data between cities, we integrate the community detection and core-periphery profile algorithms to characterize the city networks in China and identify the city groups and delineate the core structures of city groups, which are the underlying megaregional structures in China. …”
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A Comprehensive Review of the Diagnostics for Pediatric Tuberculosis Based on Assay Time, Ease of Operation, and Performance by Soumya Basu, Subhra Chakraborty

“…Gaps in the existing diagnostic methods, algorithms, and operational costs were also reviewed. …”
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Retinal revelations: Seeing beyond the eye with artificial intelligence by John Davis Akkara

“…This field, known as oculomics, leverages AI and deep learning algorithms to process vast amounts of data from imaging techniques such as fundus photography, optical coherence tomography (OCT), OCT angiography, infrared iris imaging, slit-lamp photography, and external eye photography. …”
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Radar system for unmanned aerial vehicles by Vladislav R. Skrynskij

“…Development of radar complex for detection of air, sea, and ground objects, as well as determination of their distance, speed and geometric parameters with automated processing. …”
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Marine Mammals Classification using Acoustic Binary Patterns by Maheen NADIR, Syed Muhammad ADNAN, Sumair AZIZ, Muhammad Umar KHAN

“…Prior methods for classification focused on spectral features which result in increasing bias for contour base classifiers in automatic detection algorithms. In this study, acoustic marine mammal classification is performed through the fusion of 1D Local Binary Pattern (1D-LBP) and Mel Frequency Cepstral Coefficient (MFCC) based features. …”
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Integrating Generative AI and Large Language Models in Financial Sector Risk Management: Regulatory Frameworks and Practical Applications by Valentina Lagasio, Danilo Mercuri, Jasmine Pirillo, Michele Belloli

“…We provide a comprehensive analysis of how generative AI and LLMs can revolutionize risk assessment, fraud detection, market analysis, and regulatory compliance. …”
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