Two-Criteria Technique for the Resource-Saving Computing in the Fog and Edge Network Tiers by A. B. Klimenko

“…Based on the proposed model of the two-criteria optimization problem, a method was proposed for resource saving in the edge and foggy layers of the network. …”
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Variations in Bedrock and Vegetation Cover Modulate Subsurface Water Flow Dynamics of a Mountainous Hillslope by S. Uhlemann, L. Peruzzo, C. Chou, K. H. Williams, S. Wielandt, C. Wang, N. Falco, Y. Wu, B. Carr, P. Meldrum, J. Chambers, B. Dafflon

“…Combined with a simplified hydrological model, we show that the thin soil layer of the steep slope acts as a preferential flow path, leading to mostly shallow lateral flow, interrupted by vertical flow, mostly at tree locations, and likely facilitated by flow along fractures and roots. …”
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High-Temperature Superconducting Cable Design Based on Individual Insulated Conductors by Peter Cheetham, Jose Viquez, WooJin Kim, Lukas Graber, Chul H. Kim, Sastry V. Pamidi

“…Dielectric characteristics of tapes with a single layer of thicker insulation were compared with those insulated using multiple layers of thinner insulation to evaluate the relative merits of each method. …”
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A New Approach of Disaster Forecasting Based on Least Square Optimized Neural Network by Fanbao Meng, Suolin Jing, Xizhen Sun, Changxiang Wang, Yanbo Liang, Da Pang

“…Aiming at the problem that dynamic disasters caused by many factors and heterogeneity of coal and rock are difficult to predict in the process of coal mining, in this paper, the general law and the risk control factors of the rock burst are studied, a mathematical model based on the BP neural network was built according to the different actual mining conditions in the mining area, and the output layer has obtained the prediction result. …”
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An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

“…Figure (6) shows the TANSIG and PURLIN transfer functions which were considered from layers one to two and from layers two to three. In order to measure the reliability of the neural network model, the mean square error performance function was used. …”
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A Hierarchical ViT With Dynamic Window Shift Unit and Curriculum Learning for Remote Sensing Image Scene Classification by Yi Liu, Xiang Wu, Jihuan Ren, Jiacun Wang, Yuming Bo, Yuanhao Wang

“…Furthermore, we design a curriculum transfer learning framework to alleviate the problems of lacking well-labeled training samples, intraclass variation, and interclass imbalance during the training process of the improved vision transformer. This framework employs a dual-criteria difficulty evaluator to evaluate training samples and provides supplementary supervision to the model by generating training task schedules. …”
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The Research on Path Planning Method for Detecting Automotive Steering Knuckles Based on Phased Array Ultrasound Point Cloud by Yihao Mao, Jun Tu, Huizhen Wang, Yangfan Zhou, Qiao Wu, Xu Zhang, Xiaochun Song

“…By utilizing the normal vectors, water layer thickness during detection, and the incident angle of the sound beam, the probe pose information corresponding to the detection point was precisely calculated, ensuring the stability of the sound beam incident angle during the detection process. …”
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Effect of cellular protein kinases blockade on the s100 retina expression in experimental diabetic retinopathy by K. O. Usenko, S. O. Rykov, O. O. Dyadyk, S. V. Ziablitsev

“…With the development of experimental DR, the expression of S100 protein significantly increased in the bodies and processes of astrocytes and Müller cells. The latter were mainly located in the inner nuclear layer, significantly increased in size and had a process-like shape (reactive gliosis). …”
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Mathematical simulation of railway track and trackside contamination with silt by V. M. Belkov, M. A. Zhuravlyova

“…To expedite the process and to reduce the costs of measuring the contamination of the track wayside a simulation model for turbulent areas was developed on the grounds of fluctuation theory; depending on the coordinates from the rail head, one sample allows to obtain the full pollution curve for the wayside. …”
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Enhanced photovoltaic efficiency through 3D-Printed COC/Al₂O₃ anti-reflective coversheets by Naif Almakayeel, Gobinath Velu Kaliyannan, Raja Gunasekaran, Rajasekar Rathanasamy

“…An optical loss is a crucial factor that impacts the performance of the photovoltaic conversion process. This loss occurs when incoming sunlight is reflected back on the outer layer of the photovoltaic cells. …”
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Comparison of Fuzzy-AHP and ANP Decision Making Methods to Assess the Ecological Capability of Ecotourism Application (Case study: Dehloran National Natural Monuments) by Mohsen Tavakoli

“…The weights obtained from both methods were applied to the fuzzy layers. Then, to combine the layers, the model of overlapping index or linear weight composition was used. 3-Results and Discussion Using the GIS on the slope of the linear reduction subscription function, the trajectory linear membership function layer and the temperature layer, an incremental linear membership function was applied. …”
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Optimized DenseNet Architectures for Precise Classification of Edible and Poisonous Mushrooms by Jay Prakash Singh, Debolina Ghosh, Jagannath Singh, Anurag Bhattacharjee, Mahendra Kumar Gourisaria

“…This is done through the implementation of more sophisticated model regularization techniques and automating the hyperparameter optimization process. …”
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Structural Optimization and Experimental Validation of a Composite Engine Mount Designed for VTOL UAV by Milica Milić, Jelena Svorcan, Toni Ivanov, Ivana Atanasovska, Dejan Momčilović, Željko Flajs, Boško Rašuo

“…This paper presents the optimization of one of the vital aircraft parts, the composite engine mount, based on the genetic algorithm (GA) combined with the defined finite element (FE) parameterized model. The mount structure is assumed as a layered carbon composite whose lay-up sequence, defined by layer thicknesses and orientations, is being optimized with the goal of achieving its minimal mass with respect to different structural constraints (failure criteria or maximal strain). …”
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Ocean Internal Wave Detection in SAR Images Based on Improved YOLOv7 by Limei Cai, Guozhen Zha, Mingsen Lin, Xiao Wang, Honghua Zhang

“…In addition, large separable kernel attention (LSKA) is introduced in Conv_BN_SiLU (CBS) of the two downsampling modules in the neck network to capture a wider range of contextual information and enhance the feature fusion process of ocean internal waves. The experimental results show that the F1, (mean average precision) mAP50, and mAP50:95 of the improved YOLOv7 network model are 91.3%, 94.3%, and 59.1%, respectively, which are 5.3%, 2.7%, and 2.8% higher compared to the baseline model.…”
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A Two-Tier Genetic Algorithm for Real-Time Virtual–Physical Fusion in Unmanned Carrier Aircraft Scheduling by Jian Yin, Bo Sun, Yunsheng Fan, Liran Shen, Zhan Shi

“…Three key innovations are presented: (1) a two-tier genetic algorithm (GA)-based scheduling model is proposed to coordinate global planning and dynamic execution optimization for carrier-based aircraft operations; (2) a systematic constraint integration framework incorporating aircraft taxiing dynamics, deck spatial constraints, and safety clearance requirements into the scheduling system, significantly enhancing tactical feasibility compared to conventional approaches that oversimplify multidimensional operational rules; (3) an integrated virtual–physical simulation architecture merging virtual reality interaction with HIL verification, establishing a collaborative digital twin–physical device platform for immersive visualization of full-process operations and dynamic spatiotemporal evolution characterization. …”
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UAV-based estimation of post-sowing rice plant density using RGB imagery and deep learning across multiple altitudes by Trong Hieu Luu, Thanh Tam Nguyen, Quang Hieu Ngo, Huu Cuong Nguyen, Phan Nguyen Ky Phuc

“…Second, a tailored three-layer convolutional neural network (CNN) accurately classifies vegetative situations. …”
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Study on remaining life of the contact terminal of high⁃speed circuit breakers in a subway vehicles by DANG Haitao, ZHAI Haojing, YANG Dazhang, XIANG Nan, AO Ni

“…Moreover, the test results show that the coating thickness of the moving contact terminal decreases with the increase of test cycles, yet the reducing thickness is mainly due to the wear caused by the grinding process such as bias grinding. Based on the linear prediction model, the remaining life of the moving contact terminal was evaluated, and the calculation results show that when the coating thickness of the moving contact terminal reduced from the initial 3.003 mm to the limit of 1.5 mm, the circuit breaker contact can be used for 19 313 cycles, corresponding to the natural year about 36.2, which is about 2.4 times of design service life. …”
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Heat transfer analysis of mixed convective hybrid nanofluid flow with variable permeability by Manimegalai C., Peri K. Kameswaran, P. Sibanda

“…In addition, mixed convection, variable permeability, and hybrid nanofluids are utilized to model the present boundary layer problem. A combination of hybrid nanofluids is chosen as carbon nanotubes, due to its temperature resistant property. …”
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Performance Guarantees of Recurrent Neural Networks for the Subset Sum Problem by Zengkai Wang, Weizhi Liao, Youzhen Jin, Zijia Wang

“…A construction method for RNNs is developed to compute both exact and approximate solutions of subset sum problems, and the mathematical model of each hidden layer in RNNs is rigorously defined. …”
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Microenvironments on individual sand grains enhance nitrogen loss in coastal sediments by Farooq Moin Jalaluddin, Soeren Ahmerkamp, Hannah K. Marchant, Volker Meyer, Klaus Koren, Marcel M. M. Kuypers

“…Yet, in sands, denitrification also occurs in the centimeters thick well-oxygenated surface layer, which leads to additional and substantial N-loss. …”
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