Geological foundations for determination of anisotropic directions in geostatistical modeling on the example of Verkhnee orebody of the Mnogovershinnoe gold deposit by R. A. Skruybite, Sh. I. Fakhrutdinov

“…The search ellipsoid defines the main directions of mineralization anisotropy, thus comprising a key element in the process of interpolating grades into a block model. …”
Get full text

Distributed Sensing Enabled Embodied Intelligence for Soft Finger Manipulation by Chukwuemeka Ochieze, Zhen Liu, Ye Sun

“…Inspired by animals, embodied intelligence utilizes physical bodies as an intelligent resource for information processing and task completion and offloads the computational cost of central control, which provides a unique approach to understanding and modeling soft robotics. …”
Get full text

Investigation of Proprioceptive Responses to Passive Lower Limb Movements Based on Corticokinematic Coherence by Shuai Zhao, Zihan Bao, Xiaokai Shou

“…Ten healthy participants were recruited to evaluate how stimulation parameters influence CKC, computed from coherence between electroencephalography (EEG) and limb acceleration (Acc) signals. …”
Get full text

Steel surface defect detection method based on improved YOLOv9 by Cong Chen, Hoileong Lee, Ming Chen

“…First, introducing Depthwise Separable Convolution (DSConv) can effectively reduce the computational complexity of the model, thereby enhancing its operational efficiency. …”
Get full text

Image-Based Laser-Beam Diagnostics Using Statistical Analysis and Machine Learning Regression by Tayyab Imran, Muddasir Naeem

“…This study is a comprehensive experimental and computational investigation into high-resolution laser beam diagnostics, combining classical statistical techniques, numerical image processing, and machine learning-based predictive modeling. …”
Get full text

Preliminary Development of a Novel Salvage Catamaran and Evaluation of Hydrodynamic Performance by Wenzheng Sun, Yongjun Gong, Kang Zhang

“…A hydrodynamic performance evaluation indicator system was established, integrating resistance and seakeeping criteria. Computational fluid dynamics (CFDs) simulations with overset grids were employed to calculate the resistance characteristics. …”
Get full text

Morphological diversity of the leaves and occurrence forecast of similar forms in natural hazel plantings by S. G. Biganova, Y. I. Sukhorukikh, E. K. Pchikhachev, T. A. Isuscheva

“…The forecast of the possible availability of forms has been carried out according to the law of parallelism. Statistical data processing has been performed using «Stadia» and «Microsoft Excel» computer programs. …”
Get full text

Edge AI for Real-Time Anomaly Detection in Smart Homes by Manuel J. C. S. Reis, Carlos Serôdio

“…Experimental results show that LSTM-AE achieves higher detection accuracy (up to 93.6%) and recall but requires more computational resources. In contrast, IF offers faster inference and lower power consumption, making it suitable for constrained environments. …”
Get full text

Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations by Constantinos Halkiopoulos, Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou

“…It further evaluates deep learning architectures, including neural networks, CNNs, and GANs, in terms of their roles in classifying emotions from various domains: human-computer interaction, mental health, marketing, and more. …”
Get full text

Enhancing Online Learning Through Multi-Agent Debates for CS University Students by Jing Du, Guangtao Xu, Wenhao Liu, Dibin Zhou, Fuchang Liu

“…To address these issues, we introduce a novel approach that integrates multi-agent debates into a lecture video Q&A system, aiming to assist computer science (CS) university students in self-learning by using LLMs to simulate debates between affirmative and negative debaters and a judge to reach a final answer and presenting the entire process to users for review. …”
Get full text

Integrating AutoGluon for Real-Time Monitoring and Classification of Dental Equipment Performance by Muxiu Yang, Fengzhou Li, Wenfeng Qiu

“…The intent is to enable predictive maintenance through data processing automation, model selection and performance classification. …”
Get full text

Enhancing Digital Twin Fidelity Through Low-Discrepancy Sequence and Hilbert Curve-Driven Point Cloud Down-Sampling by Yuening Ma, Liang Guo, Min Li

“…The method achieves these improvements without requiring feature-specific calculations, extensive pre-processing, or task-specific training data, making it a practical advance for enhancing digital twin fidelity across diverse application domains.…”
Get full text

Evaluation of Postoperative Pain and Discomfort in Patients Undergoing Surgical Exposure of Impacted Maxillary Canines by Gryte Zabielskaite, Mariam Varoneckaite, Dalia Smailiene

“…Material and Methods: Pre-treatment cone-beam computed tomography (CBCT) data and discomfort evaluation questionnaire of 25 patients (17 female, 8 male), treated with combined surgical-orthodontic approach was analysed. …”
Get full text

Improving the Reliability of DC-DC Power Supply by Reserving Feedback Signals by V. A. Shpenst, E. A. Orel

“…The validity of the proposed method is confirmed by the results of computer simulation with the use of MatLab-Simulink environment. …”
Get full text

Quantifying and Reducing the Operator Effect in LSPIV Discharge Measurements by G. Bodart, J. Le Coz, M. Jodeau, A. Hauet

“…Abstract Operator choices, both in acquiring the video and data and in processing them, can be a prominent source of error in image‐based velocimetry methods applied to river discharge measurements. …”
Get full text

Binary conceptual opposition “WE – THEY” in modern English political discourse by A. G. Chabannaya, M. V. Kamensky

“…The novelty is also characterized by the statistical data provided, obtained using automated text processing and the creation of an electronic corpus, which can be further expanded by speeches of other political figures. …”
Get full text

Video dual-domain watermarking algorithm based on hybrid DWT-DCT and frame grouping by LIANG Yucheng, NIU Ke, LI Jun, MENG Yifei

“…The hidden frames were processed using a hybrid DWT-DCT approach to generate the watermark embedding domain. …”
Get full text

INTELLIGENT MEANS IN THE SYSTEM OF MANAGING A MANUFACTURING AGENT by Igor Nevliudov, Oleksandr Tsymbal, Artem Bronnikov

“…The following problems are solved in the work: current tendencies of developing and implementing the intelligent systems for production management are considered; the demands for developing simulation models of decision support systems for solving flexible integrated production systems are formulated; the logical model of a decision support system for an intelligent manufacturing agent is developed, this model describes the decision-making process in the form of the functioning strategy formation on the basis of the knowledge of the current state of the integrated system, the system of knowledge describing probable actions of the robotic equipment, the objectives of the production system, and adapts the strategy if the working space of the integrated system or its individual goals change;  the system of knowledge of a flexible integrated system is presented as a set of standard description of probable actions for robotic equipment; the distributed workspace of integrated systems is considered and described; separate objects are identified using the means of computer vision. …”
Get full text

Secure internet of medical things based electronic health records scheme in trust decentralized loop federated learning consensus blockchain by Megha Kuliha, Sunita Verma

“…The obtained raw data is pre-processed by using handling missing values and adaptive min-max normalization. …”
Get full text

Research on Prediction and Optimization of Airport Express Passenger Flow Based on Fusion Intelligence Network Model by Jin He, Yinzhen Li, Yuhong Chao

“…Finally, gated recurrent units are introduced to simplify the computational complexity while maintaining high prediction accuracy and training efficiency. …”
Get full text