A Propagation Model for Subsurface and Through-Wall Imaging Applications under the Frequency Dispersion Perspective by Ana Vazquez Alejos, Muhammad Dawood

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Wideband characterization of ultrasound transducers and materials using time delay spectrometry by P. A. LEWIN, M. A. SCHAFER

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Advancing Taxonomic Classification Through Deep Learning: A Robust Artificial Intelligence Framework for Species Identification Using Natural Images by Shaheer Habib, Mubashir Ahmad, Yasin Ul Haq, Rabia Sana, Asia Muneer, Muhammad Waseem, Muhammad Salman Pathan, Soumyabrata Dev

“…The dataset was pre-processed and augmented to enhance training, ensuring robustness against variations in lighting, occlusion, and background clutter. Featuring 4 million trainable parameters, our modified ResNet-50 model demonstrated superior computational efficiency and accuracy. …”
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Low-Power Branch CNN Hardware Accelerator with Early Exit for UAV Disaster Detection Using 16 nm CMOS Technology by Yu-Pei Liang, Wen-Chin Chao, Ching-Che Chung

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SATELLITE ALTIMETER DATA FILTERING AND SMOOTHING IN THE COURSE OF GROUND-BASED RETRACKING by D. S. Borovitsky, A. E. Zhesterev, V. P. Ipatov, R. M. Mamchur

“…However, at the stage of ground-based retracking it seems more appropriate to use the Kalman filter, which possesses a number of theoretical optimal features and is efficient as for utilization of the available computational resource.Results and conclusions. …”
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Optimal Constructions of Low-Hit Zone Frequency-Hopping Sequence Set Based on <i>m</i>-Sequence by Changyuan Wang, Yi Zhang, Wanan Yang, Chunhua Ren

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Predicting global educational inequality with a hierarchical belief rule base model by Aosen Gong, Wei He, Gaixia Ge, Cuiping Yang, Shaohua Li

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Led source of light with high light circuit by R. R. Shiriev, A. N. Borisov, A. A. Valeev

“…When solving the tasks set, the method of retrospective-prospective meta-analysis was used, computer programs of automatic design systems and direct determination of technical parameters using measuring instruments were used.RESULTS. …”
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LCDDN-YOLO: Lightweight Cotton Disease Detection in Natural Environment, Based on Improved YOLOv8 by Haoran Feng, Xiqu Chen, Zhaoyan Duan

“…To address the challenges of detecting cotton pests and diseases in natural environments, as well as the similarities in the features exhibited by cotton pests and diseases, a Lightweight Cotton Disease Detection in Natural Environment (LCDDN-YOLO) algorithm is proposed. …”
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Bifurcation analysis of multistability and hysteresis in a model of HIV infection by I. V. Mironov, M. Yu. Khristichenk, Yu. M. Nechepurenko, D. S. Grebennikov, G. A. Bocharov

“…The macrophage activation rate constant is considered as a bifurcation parameter. The regions in the model parameter space, in particular, for the rate of activation of innate immune cells (macrophages), in which the properties of bi-, multistability and hysteresis are expressed, have been identified, and the features cha rac terizing transition kinetics between stable equilibrium states have been explored. …”
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Diverse behavior clustering of students on campus with macroscopic attention by Wanghu Chen, Zongjuan Wu, Siqi Zeng, Hongle Guo, Jing Li

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Comparing Geodesic Filtering to State-of-the-Art Algorithms: A Comprehensive Study and CUDA Implementation by Pierre Boulanger, Sadid Bin Hasan

“…We developed an automatic parameter optimization methodology that eliminates manual tuning by identifying optimal filtering parameters based on image characteristics. …”
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Predictors of evacuation behavior: dataset on respondents’ route choice and web interaction by Dajana Snopková, Martin Tancoš, Lukáš Herman, Vojtěch Juřík

“…We provide a dataset on human decision-making during evacuations from virtual buildings, captured using experimental methods that controlled specific building layout parameters. An online experiment assigned participants a random subset of tasks featuring T-intersections. …”
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Neural network distillation of orbital dependent density functional theory by Matija Medvidović, Jaylyn C. Umana, Iman Ahmadabadi, Domenico Di Sante, Johannes Flick, Angel Rubio

“…Its central component, the exchange-correlation energy functional, has been approximated with increasing levels of complexity ranging from strictly local approximations to nonlocal and orbital dependent expressions with many tuned parameters. In this paper, we formulate a general way of rewriting complex density functionals using deep neural networks in a way that allows for simplified computation of Kohn-Sham potentials as well as higher functional derivatives through automatic differentiation, enabling access to highly nonlinear response functions and forces. …”
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Applying the Least Squares Approach to Solve Fredholm Fuzzy Fractional Integro-Differential Equations by Saif Aldeen M. Jameel, Sharmila karim, Ali Fareed Jameel

“…A new form of LSM is changed to FLSM includes an extra feature known as the convergence control points parameters, regarded as one of its most powerful tools that constructed from the use of some concepts of fuzzy set theory and fractional calculus. …”
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Full spectrum of novelties in time-dependent urn models by Alessandro Bellina, Giordano De Marzo, Vittorio Loreto

“…We highlight how the TUMT features a “critical” region where both Heaps' and Zipf's laws coexist, for which we compute the exponents.…”
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IEDSFAN: information enhancement and dynamic-static fusion attention network for traffic flow forecasting by Lianfei Yu, Ziling Wang, Wenxi Yang, Zhijian Qu, Chongguang Ren

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Mechanical Properties of Shale-Reservoir Rocks Based on Stress–Strain Curves and Mineral Content by Wen-Tie Sun, Zhong-Hui Li, Yi-Shan Lou, Liang Zhu, Hui-Mei Wu, Arnaud Regis Kamgue Lenwoue, Qin Liu

“…The results showed that (1) the difference in mineral composition leads to easier fracturing of sand shale reservoirs compared with pure shale reservoir. (2) Under uniaxial conditions, the rock mechanical parameters along the vertical bedding direction of sand shale reservoirs are better than pure shale reservoir parameters. …”
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24 Hours Ahead Forecasting of the Power Consumption in an Industrial Pig Farm Using Deep Learning by Boris Evstatiev, Nikolay Valov, Katerina Gabrovska-Evstatieva, Irena Valova, Tsvetelina Kaneva, Nicolay Mihailov

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Traffic safety and dynamic properties of the bridge deck of high-speed railway lines by V. Yu. Polyakov, Dang Ngoc Thanh

“…The urgent task is to ensure the sustainable motion of the wheel along the rail over the bridges in high-speed traffic. A feature of high-speed lines (HS lines) is the practical achievement of critical speeds that cause resonance of bridge deck structures. …”
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