Search Results - research algorithm

Dynamic Network Plasticity and Sample Efficiency in Biological Neural Cultures: A Comparative Study with Deep Reinforcement Learning by Moein Khajehnejad, Forough Habibollahi, Alon Loeffler, Aswin Paul, Adeel Razi, Brett J. Kagan

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AN APPROACH TO CELL NUCLEI COUNTING IN HISTOLOGICAL IMAGE ANALYSIS by M. M. Lukashevich, V. V. Starovoitov

“…Critical parameters defined algorithms, configurable at each stage of image analysis. …”
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CropGene: a software package for the analysis of genomic and transcriptomic data of agricultural plants by A. Yu. Pronozin, D.  I. Karetnikov, N. A. Shmakov, M. E. Bocharnikova, S. D. Afonnikova, D. A. Afonnikov, N. A. Kolchanov

“…CropGene implements new methods for analyzing long non-coding RNAs, protein domains, searching and analyzing polymorphisms, and genomewide association research. CropGene has a user-friendly interface and supports working with various types of data, which greatly simplifies its use for researchers who do not have deep knowledge in the field of bioinformatics. …”
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CLIPPERS. Three clinical cases and review by L. N. Prakhova, A. S. Parfyonova, Zh. I. Savintseva, A. G. Ilves, E. V. Bubnova, V. S. Krasnov, A. M. Tarasova, N. A. Totolyan

“…Furthermore, the necessity of further research is shown for improving the accuracy and specificity of the diagnostic criteria, as well as for defining biomarkers and developing algorithms of effective therapy.…”
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Examining Nasdaq Market Data and Presenting an Optimized Model by Extreme Gradient Boosting Regression and Artificial Bee Colony by Ali Ahmadpour

“…These outcomes underscore the effectiveness of combining machine learning with nature-inspired optimization algorithms to produce more accurate stock price forecasts. …”
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Current status and outlook of UWB radar personnel localization for mine rescue by ZHENG Xuezhao, MA Jiawen, HUANG Yuan, LI Qiang, REN Jing, LIU Yu

“…Key challenges in mine rescue scenarios are identified: ① significant localization errors and limited effective detection range in thick, heterogeneous, and discontinuous media; ② weakened radar echoes and severe clutter interference under Non-Line-of-Sight (NLOS) conditions, leading to low-precision micro-motion target detection and large real-time errors for dynamic targets; ③ signal interference and occlusion effects among multiple targets degrading localization accuracy. Future research directions of UWB radar personnel localization technology for mine rescue operations are proposed: ① optimizing the UWB radar localization system by constructing cross-modal information fusion models and developing highly adaptive signal processing methods to enhance the system's adaptability to post-mining disaster environments; ② improving the applicability of combined static and dynamic target localization by developing hybrid localization algorithms that integrate Bayesian networks or deep belief networks to fuse static and dynamic target features and establishing state-switching-based comprehensive models; ③ improving UWB radar echo processing algorithms, combining adaptive beamforming technology, Multiple Input Multiple Output (MIMO) technology, and optimized K-means++ or entropy-based hierarchical analysis algorithms, effectively distinguishing multi-target position information, and validating their adaptability and reliability in complex environments through extensive simulation experiments.…”
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STUDY OF THE INFLUENCE OF CRACKS ON THE BEARING CAPACITY OF REINFORCED CONCRETE PLATES USING THE PRINS CALCULATION COMPLEX by K. R. Aydemirov, V. P. Agapov

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INVESTIGATION OF THE CARRYING CAPACITY OF REINFORCED CONCRETE SLABS WITH CRACKS AFTER THEIR REINFORCEMENT WITH COMPOSITE FABRICS BY THE FINITE ELEMENT METHOD USING THE PRINS COMPUT... by V. P. Agapov, K. R. Aydemirov

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Rigorous and extensive accuracy assestment of automatically classified LiDAR data: a case study in the city of Milan, Italy by D. Lodigiani, V. M. Casella

“…LiDAR data filtering has been an active research area for nearly thirty years and continues to present significant challenges due to the increasing density of acquired LiDAR data. …”
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Digital transformation of modern corporation management tools: the current state and development paths by V. A. Laptev, S. Yu. Chucha, D. R. Feyzrakhmanova

“…Finally, we provide an overview of the operational characteristics of decentralized autonomous organizations.Purpose of the research. This article is devoted to the transformation of management tools for modern corporations in the digital economy. …”
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Satellite-based detection of deep-convective clouds: the sensitivity of infrared methods and implications for cloud climatology by A. Z. Kotarba, I. Wojciechowska

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A novel nomogram for survival prediction in renal cell carcinoma patients with brain metastases: an analysis of the SEER database by Fei Wang, Xihao Wang, Zhigang Feng, Jun Li, Hailiang Xu, Hengming Lu, Lianqu Wang, Zhihui Li

“…BackgroundExisting research on the development of prognostic models for renal cell carcinoma (RCC) patients with brain metastases (BM) remains limited. …”
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Competence model scheming of the graduate as an assessment tool for the quality of education by E. N. Shaforostova, A. A. Valova

“…Purpose of the research. At the present time of the society development, the task of process improvement of the quality of education is especially actual and the main tool of its decision is introduction in educational process of new federal educational standards. …”
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GASTROINTESTINAL FOOD ALLERGY IN CHILDREN by Svetlana G. Makarova, Leyla S. Namazova-Baranova, Elena A. Vishneva, Oksana A. Ereshko, Irina G. Gordeeva

“…According to different researchers, allergic lesions of the gastrointestinal tract occurs in 25–50% of patients with such common pathology as an allergy to cow's milk proteins. …”
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MODERN ARCHITECTURE BOARD INFORMATION AND CONTROL SYSTEMS OF HEAVY VEHICLES by V. V. Filinov, S. A. Mikaeva, M. S. Rodyukov, A. V. Filinova

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SCANDEM-Coast - open-source tool for UAV LiDAR point cloud classification in coastal environments by Paweł Terefenko, Kamran Tanwari, Jakub Śledziowski, Andrzej Giza, Xiaohao Shi

“…However, the utility of raw UAV LiDAR point clouds is often constrained by their unstructured format, lack of classification, presence of noise, and multiple returns, necessitating robust filtering algorithms. The complexity of pre-processing demands specialized expertise, and automated classification methods remain largely confined to specific research domains, limiting broader scientific application. …”
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Satellite Image Price Prediction Based on Machine Learning by Linhan Yang, Zugang Chen, Guoqing Li

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Experiment with the X-band radar at the Nizhny Novgorod cable car: First Results by Ponur Kirill Aleksandrovich, Titchenko Yuriy Andreevich, Karaev Vladimir, Meshkov Evgeniy Mihaylovich, Panfilova Mariya Andreevna, Krylov Andrey Vladimirovich, Lebedev I., Khakin E.

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Early Perspectives on the Planned Brazilian Program to Address Ship-Sourced Pollution by Daniel Constantino Zacharias, Angelo Teixeira Lemos

“…The system incorporates a range of technologies, such as satellite data, AI algorithms, autonomous sensors, and high-resolution modeling, to detect and respond to oil spills and maritime threats. …”
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Artificial Intelligence and Public Sector Auditing: Challenges and Opportunities for Supreme Audit Institutions by Dolores Genaro-Moya, Antonio Manuel López-Hernández, Mariia Godz

“…It also reviews the status of the audits of systems based on algorithms carried out by some SAIs.…”
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