Validation Framework for Analyzing Complex Anatomical Structures: Application of L-System Models by Katarzyna Heryan, Jacek Tarasiuk, Janusz Skrzat

“…It also highlights the value of synthetic models in verifying algorithm integrity, offering a solid foundation for future research on the analysis of complex anatomical structures.…”
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Restoration of Hardware Function of Spectral Colorimeters Using Regularization Methods by M. A. Radjabova, B. I. Eshmatova, N. K. Babanazarova

“…The estimation of the matrix operator of the hardware function is proposed to be obtained on the basis of explicit least squares estimation algorithms. The expediency of choosing a value of the regularization parameter that minimizes the accepted characteristic of the accuracy of the solution is indicated.…”
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EdgeGuard: Decentralized Medical Resource Orchestration via Blockchain-Secured Federated Learning in IoMT Networks by Sakshi Patni, Joohyung Lee

“…EdgeGuard outperforms existing solutions in terms of computational performance, data value, and privacy protection across a wide range of real-world medical datasets. …”
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Using the proximal policy optimization and prospect theory to train a decision-making model for managing personal finances by Vladyslav Didkivskyi, Dmytro Antoniuk, Tetiana Vakaliuk, Yevhen Ohinskyi

“…This article employs reinforcement learning techniques and behavioral economics to achieve this objective, thereby contributing to the advancement of practical algorithms and approaches for financial decision-making. …”
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Heat Transfer by Transmission in a Zone with a Thermally Activated Building System: An Extension of the ISO 11855 Hourly Calculation Method. Measurement and Simulation by Piotr Michalak

“…The total heat transfer coefficient by transmission was measured and compared with the theoretical design value. Both proposed simulation algorithms provided results with very good accuracy. …”
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In the New Multimedia Era, “Post-90s” Counselors Do a Good Job of Adaptive Education Path Research for “Post-00s” Freshmen by Ting Wang

“…The decision at this stage is particularly important for freshmen to successfully complete their studies and discover their own value. Therefore, in view of the situation that freshmen cannot adapt to the new environment as soon as possible after being separated from the familiar environment, we should guide students to establish a positive learning and life attitude in the university from multiple angles, all-round and multiple ways, and integrate into the new life as soon as possible. …”
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DOPPLER SPECTRUM MATHEMATICAL MODEL OF SIGNAL SCATTERING FROM SEA SURFACE AT LOW GRAZING ANGLES by Mikhail A. Borodin, Vyacheslav N. Mikhaylov, Polina A. Filippova

“…The developed mathematical model is offered to use for the design of algorithm sea surface condition estimation and pollutant detection using the signal which received by radar.…”
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Dual-branch graph Transformer for node classification by Yong Zhang, Jingjing Song, Eric C.C. Tsang, Yingxing Yu

“…Meanwhile, we designed a hybrid feature mechanism that integrated original features with GNN outputs and separately optimized the construction of the query ($ Q $), key ($ K $), and value ($ V $) matrices of the intracluster and intercluster Transformers in order to adapt to the different modeling requirements of two branches. …”
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Real-time multi-level trust-based secure routing for improved QoS in WSN using blockchain by S. Ramachandra, M. Baskar

“…The source node is involved in measuring LTF whereas an intermediate node would measure GTF value. Further, the method adapts the Adaptive Blockchain Security Algorithm for secure transmission of data between the nodes of the network. …”
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Complexity-Constrained Quantum Thermodynamics by Anthony Munson, Naga Bhavya Teja Kothakonda, Jonas Haferkamp, Nicole Yunger Halpern, Jens Eisert, Philippe Faist

“…Overall, our framework extends the resource-theoretic approach to thermodynamics to integrate a notion of time, as quantified by complexity.…”
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Steel surface defect detection method based on improved YOLOv9 by Cong Chen, Hoileong Lee, Ming Chen

“…The findings of this study hold significant practical value for improving the quality and efficiency of industrial products in the field of steel surface defect detection.…”
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DESIGN AND FIELD TEST OF FUZZY PID CONTROL SYSTEM OF ACTIVE SUSPENSION FOR BLUEBERRY HARVESTER by Cun Chu, Haibin Wang, Ruiqing Zhang, Zhiyong Chu

“…Subsequently, the virtual prototype model of the blueberry harvester (BH) was built in ADAMS with the nonlinear properties of the passive suspension. A fuzzy proportion integral differential (PID) control algorithm and decoupled control strategy were employed to design the AS control system. …”
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INSTRUMENTAL AND BIOPHYSICAL METHOD OF EVALUATION TEST OF SEEDS OF GREEN VEGETABLE CULTURES by F. B. Musayev, V. A. Kharchenko, M. S. Antoshkina

“…The prospects of development of a method are specified. It is the integrated automatic analysis of quality of seeds. The algorithm of automatic computer X-ray analysis of quality of vegetable seeds is so far developed, the first version of the program is approved.…”
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Topology Knapsack Problem for Geometry Optimization by Hsiao-Hui Li, Po-Chun Chang, Yuan-Hsun Liao

“…Moreover, the experiments compared the topology knapsack problem and the Louvain community detection algorithm using both datasets. The topology knapsack problem achieved better conductance values for each graph. …”
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Intelligent Perturb and Observe Based MPPT Approach Using Multilevel DC-DC Converter to Improve PV Production System by Imane Ait Ayad, Elmostafa Elwarraki, Mohamed Baghdadi

“…Based on the provided voltage and current, the P&O algorithm generates the optimal duty cycle of the TLB converter to perfectly track the MPP of the PV generator for different values of cell temperature and sunlight irradiance. …”
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Interrelationships Between Inflammatory Score, Delayed Cerebral Ischemia and Unfavorable Outcome in Patients with aSAH: A Four-Way Decomposition by Zhang P, Zhu H, Li X, Qian Y, Zhu Y, Zhang W, Yan Z, Ni H, Lin Z, Lin X, Li Z, Zhuge Q, Zeng B

“…Finally, the additive value of inflammatory score was measured using the area under the curve (AUC), net reclassification improvement (NRI) and integrated discrimination improvement (IDI).Results: In total, 368 aSAH patients were included. …”
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An improved deep learning approach for automated detection of multiclass eye diseases by Feudjio Ghislain, Saha Tchinda Beaudelaire, Romain Atangana, Tchiotsop Daniel

“…The overall average accuracy of the model reached 0.9621. Conclusion: The integration of biorthogonal wavelet transforms into our CNN model has proven effective, surpassing the performance of several similar algorithms reported in the literature. …”
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Universal Vector Calibration for Orientation-Invariant 3D Sensor Data by Wonjoon Son, Lynn Choi

“…The algorithm works in two stages. First, it transforms vector values in local coordinates to those in global coordinates by calibrating device tilting using pitch and roll angles computed from the initial vector values. …”
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Leveraging petrophysical and geological constraints for AI-driven predictions of total organic carbon (TOC) and hardness in unconventional reservoir prospects by Nandito Davy, Ammar El-Husseiny, Umair bin Waheed, Korhan Ayranci, Manzar Fawad, Mohamed Mahmoud, Nicholas B. Harris

“…Our optimized models achieved R2 (coefficient of determination) of 0.89 and RMSE (root-mean-square error) of 0.47 for TOC predictions and 0.90 and 34.8 for hardness predictions, reducing RMSE by up to 13.52% compared to the unconstrained model. The XGB algorithm emerged as the best choice, and integrating domain knowledge transforms a data-driven method into a scientifically driven one, enhancing prediction accuracy and aligning model predictions with petrophysical and geological intricacies.…”
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Development and Validation of Predictive Models for Differentiating Resectable Stage III Peripheral SCLC from NSCLC Using Radiomic Features and Clinical Parameters by Junjie Zhang MD, Ligang Hao MD, Qiuxu Zhang MD, Lina Zheng MD, Qian Xu PhD, Fengxiao Gao MD

“…Radiomic feature selection was performed using the LASSO algorithm, and nine machine learning models were evaluated. …”
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