Are vision transformers replacing convolutional neural networks in scene interpretation?: A review by N. Arockia Rosy, K. Balasubadra, K. Deepa

“…Cutting-edge computer vision technology plays a key role in enabling communication that allows individuals to understand visual scenes in the same way they do. …”
Get full text

Automated attendance management with RFID and geospatial visualization by Jilbert C. Bati-On, Kyle P. Kuizon, Krischel Ann Y. Catulpos, Johnloyd B. Bonghanoy, Jose Jr. Costillas Agoylo

“…Users reported increased convenience and efficiency, with enhanced security measures through role-based access controls and geospatial insights. …”
Get full text

AI Driven Fraud Detection Models in Financial Networks: A Comprehensive Systematic Review by Nusrat Jahan Sarna, Farzana Ahmed Rithen, Umme Salma Jui, Sayma Belal, Al Amin, Tasnim Kabir Oishee, A. K. M. Muzahidul Islam

“…In addition, it examines the role of cloud computing, edge AI, and distributed systems in enabling real-time transaction monitoring and fraud detection. …”
Get full text

Identification and analysis of neutrophil extracellular trap-related genes in periodontitis via bioinformatics and experimental verification by Miao Yu, Zhenqi Ye, Zixin Ye, Yaping Wu, Xiang Wu

“…Then, machine learning algorithms were exploited to screen hub NRGs, and a predictive model was constructed based on these hub NRGs. …”
Get full text

Decoding Depression from Different Brain Regions Using Hybrid Machine Learning Methods by Qi Sang, Chen Chen, Zeguo Shao

“…To clarify the impact of brain region segmentation on the detection accuracy of moderate-to-severe major depressive disorder (MDD) and identify the optimal brain region for detecting MDD using electroencephalography (EEG), this study compared eight traditional single-machine learning algorithms with a hybrid machine learning model based on a stacking ensemble technique. …”
Get full text

Non-differentiated connective tissue dysplasia. "Carthage should be destroyed"? by E. V. Zemtsovsky

“…Such an approach resulted in manifold publications demonstrating NDCTD role in internal disease clinical status and clinical course. …”
Get full text

University proceedings. Volga region. Technical sciences by K.A. Suminov

“…On-board computing systems (OCS) play a key role in the functioning of robotic complexes (RC), ensuring the transition from remote control to semi- andhardware and software components. …”

DPMine Graphical Language for Automation of Experiments in Process Mining by S. A. Shershakov

“…Process mining is a new direction in the field of modeling and analysis of processes, where the use of information from event logs describing the history of the system behavior plays an important role. Methods and approaches used in the process mining are often based on various heuristics, and experiments with large event logs are crucial for the study and comparison of the developed methods and algorithms. …”
Get full text

Artificial intelligence model in the cognitive and learning activities of university subjects by N. Abishev, R. Ramazanov, M. Abaideldanova, K. Chesnokova, A. Baizhumayeva

“…The authors design this model using algorithms–sets of rules that enable programs to make decisions, recognize patterns, and generate predictions based on input data relevant to the learning and cognitive processes of university subjects. …”
Get full text

Handwriting Difficulties: A Review of Recent Advances in the Identification and Intervention by Suatmi Murnani, Kazuharu Hashitsume, Tomohiko Igasaki

“…Our review underscores advances in handwriting analysis—particularly the role of technology in assessing and improving handwriting legibility and fluency—and shows how these methods address limitations of conventional assessments. …”
Get full text

Artificial Intelligence in cancer epigenomics: a review on advances in pan-cancer detection and precision medicine by Karishma Sahoo, Prakash Lingasamy, Masuma Khatun, Sajitha Lulu Sudhakaran, Andres Salumets, Vino Sundararajan, Vijayachitra Modhukur

“…Consequently, DNA methylation remains a key biomarker in cancer research, playing a vital role in diagnosis, prognosis, and tailored treatment strategies. …”
Get full text

X-ray modalities in the era of artificial intelligence: overview of self-supervised learning approach by Ivan Martinović, Shitong Mao, Mehdy Dousty, Wuqi Li, Milena Đukanović, Errol Colak, Ervin Sejdić

“…Self-supervised learning enables the creation of algorithms that outperform supervised pre-training methods in numerous computer vision tasks. …”
Get full text

Improving the Predictability of the Madden‐Julian Oscillation at Subseasonal Scales With Gaussian Process Models by Haoyuan Chen, Emil Constantinescu, Vishwas Rao, Cristiana Stan

“…Abstract The Madden–Julian Oscillation (MJO) is an influential climate phenomenon that plays a vital role in modulating global weather patterns. In spite of the improvement in MJO predictions made by machine learning algorithms, such as neural networks, most of them cannot provide the uncertainty levels in the MJO forecasts directly. …”
Get full text

Biosynthesis, applications, and mathematical modeling dynamics of lactic acid bacteria exopolysaccharides: A review by Ankit Barot, Kalyan Das, Yogesh Patel, et al.

“…White-box models, utilize comprehensive system knowledge, forecast performance, and optimize processes such as EPS biosynthesis while employing algorithms like fuzzy patterns, rule-based systems, and decision trees to increase productivity and identify bottlenecks. …”
Get full text

Modern aspects of diagnostics and treatment of <i>H. pylori</i> infection from standpoint of stomach cancer prophylaxis by A. A. Sheptulin, T. L. Lapina

“…According to conclusion of the majority of publications and data of meta-analyses, nowadays both bismuth-based and bismuth-free quadrotherapy are considered as the most effective treatment algorithms.Conclusion. …”
Get full text

Integrative analysis identifies FBXO5 as a critical mediator of CRPC progression and bone metastatic potential by Rajnikant Raut, Devesh Srivastava, Amit Kumar Chakraborty, Manish V. Bais, Parul Mishra, Ashish Misra

“…Emerging evidence suggests that E3 ubiquitin ligases play a key role in cancer progression, yet their involvement in CRPC remains poorly understood. …”
Get full text

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

“…Biosensor based technology faces numerous challenges including signal complexity, noise, data interpretation, etc. …”
Get full text

TempODEGraphNet: predicting user churn using dynamic social graphs and neural ODEs. by Minseop Lee, Jiyoung Woo

“…Experimental results reveal that the proposed model achieves a higher F1 score compared with conventional algorithms and static graph models. Dynamic graphs more accurately reflect changes in user behavior compared with static graphs, particularly in domains with active interactions such as massively multiplayer online role-playing games. …”
Get full text

Livestock Biometrics Identification Using Computer Vision Approaches: A Review by Hua Meng, Lina Zhang, Fan Yang, Lan Hai, Yuxing Wei, Lin Zhu, Jue Zhang

“…This paper aims to comprehensively survey the techniques for individual livestock identification based on computer vision methods. It begins by elucidating the uniqueness of the primary biometric features of livestock, such as facial features, and their critical role in the recognition process. …”
Get full text

AFQSeg: An Adaptive Feature Quantization Network for Instance-Level Surface Crack Segmentation by Shaoliang Fang, Lu Lu, Zhu Lin, Zhanyu Yang, Shaosheng Wang

“…Concrete surface crack detection plays a crucial role in infrastructure maintenance and safety. Deep learning-based methods have shown great potential in this task. …”
Get full text