Minima-YOLO: A Lightweight Identification Method for Lithium Mineral Components Under a Microscope Based on YOLOv8 by Zeyang Qiu, Xueyu Huang, Xiangyu Xu

“…Next, we redesigned a new lightweight feature extraction module, Faster-EMA, using PConv and the EMA attention mechanism, replacing the original C2f module. …”
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An optimization-inspired intrusion detection model for software-defined networking by Hui Xu, Longtan Bai, Wei Huang

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Resource-Efficient Personalization in Federated Learning With Closed-Form Classifiers by Eros Fani, Raffaello Camoriano, Barbara Caputo, Marco Ciccone

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Automated analysis of retinal microcirculation in type 1 diabetes mellitus by Yu. N. Yusef, M. H. Durzhinskaya, V. G. Pavlov, D. V. Petrachkov, I. B. Gurevich, V. V. Yashina, A. T. Tleubaev, V. V. Fadeyev, I. V. Poluboyarinova, A. E. Goldsmid, R. А. Karamullina, D. V. Lipatov, M. V. Budzinskaya

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Applications of density functional theory to corrosion and corrosion prevention of metals: A review by Dihao Chen, Wenjie Zhou, Yucheng Ji, Chaofang Dong

“…The paper also reviews the correlations between DFT‐computed descriptors and the micro/macro physiochemical parameters of corrosion. …”
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Estimating root zone soil moisture in farmland by integrating multi-source remote sensing data based on the water balance equation by Xuqian Bai, Shuailong Fan, Ruiqi Li, Tianjin Dai, Wangye Li, Sumeng Ye, Long Qian, Lu Liu, Zhitao Zhang, Haorui Chen, Haiying Chen, Youzhen Xiang, Junying Chen, Shikun Sun

“…Existing remote sensing approaches for estimating root zone soil moisture are limited by their dependence on initial conditions, sensitivity to model parameters, and high computational costs. This study proposes a lightweight model for predicting root zone soil moisture at the irrigation district scale. …”
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Formulation of low temperature mixed mode crack propagation behavior of crumb rubber modified HMA using artificial intelligence by Sepehr Ghafari, Mehrdad Ehsani, Sajad Ranjbar, Mohammad Nabi Nazari, Fereidoon Moghadas Nejad

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Strength Prediction of Geopolymer Concrete With Wide-Ranged Binders and Properties Using Artificial Neural Network by Md Merajul Islam, Md Al-Mamun Provath, G. M. Sadiqul Islam, Md Tariqul Islam

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Optimising the Selection of Input Variables to Increase the Predicting Accuracy of Shear Strength for Deep Beams by Mohammed Majeed Hameed, Faidhalrahman Khaleel, Mohamed Khalid AlOmar, Siti Fatin Mohd Razali, Mohammed Abdulhakim AlSaadi

“…Thus, the inclusion of the LWLR model with GAITH has demonstrated a reliable and applicable computer aid for modelling shear strength in deep beams.…”
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Comparative study of evolution of structured flows at boundary of the regime change “diffusion — concentration convection” in isothermal multicomponent mixing in gases by technique... by В.Н. Косов, С.А. Красиков, С.М. Белов, O.В. Федоренко, М. Жанели

“…These include occurrence of convective instability with subsequent formation of structured flows. The feature of this type of mixing is that convection is realized under conditions of decrease in density of mixture with height. …”
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STRUCTURAL SYNTHESIS OF NAVIGATION SUPPORT OF TRIAD INTEGRATED NAVIGATION SYSTEM ON THE BASIS OF INERTIAL AND SATELLITE TECHNOLOGIES by V. S. Maryukhnenko, V. V. Erokhin

“…Based on optimal filtering theory methods the integrated navigation data processing algorithm, which is an extended Kalman filter, is synthesized. A distinctive feature of the algorithm is that the variables of the state vector which are to be measured, are the errors in the determination of appropriate navigation and timing parameters. …”
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Progressive Conditional Diffusion Model for Multistage Spectral Restoration of Remote Sensing Image by Jinfeng Gao, Gangqiang Li, Ruxian Yao, Qiang Liu, Junming Zhang

“…However, most of these methods compute loss only at the final stage of the network, neglecting the intermediate generative processes, which leads to considerable spectral distortion in the reconstructed images. …”
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FINITE-ELEMENT MODELLING OF PIEZOELECTRIC ENERGY STORAGE DEVICE BASED ON CANTILEVER by Arkady Nikolayevich Solovyev, Duong Le Van

“…The output potentia l dependences at the free electrodes of the piezoelectric elements on the resonant freque ncies and in the low - frequency region on the same parameters are investigated. These results are also presented graphically that allows a des igner to select reasonable feature sizes and the mix of ma terials to optimize the device.…”
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Analysis of the fractional relativistic isothermal gas sphere with application to neutron stars by Nouh Mohamed I., Abdel-Salam Emad A-B., Hassaballa Abaker A., Jazmati Mohamed S.

“…The analytical solution of the FTOVI equation is tackled using an accelerated series expansion. We computed models for various relativistic (σ) and fractional (α) parameters. …”
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Prediction of Omicron Virus Using Combined Extended Convolutional and Recurrent Neural Networks Technique on CT-Scan Images by Anand Kumar Gupta, Asadi Srinivasulu, Kamal Kant Hiran, Goddindla Sreenivasulu, Sivaram Rajeyyagari, Madhusudhana Subramanyam

“…To overcome the drawbacks of the existing system, this research proposes a combined research model that is ECNN-ERNN, where ECNN is used for the extraction of deep features and ERNN is used for exploration using extracted features. …”
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A Dual-channel Progressive Graph Convolutional Network via subgraph sampling by Wenrui Guan, Xun Wang

“…Independent subgraph sampling effectively limits the neighbor aggregation in convolutional computations, and it has become a popular method to improve the efficiency of training GCNs. …”
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Assessment of Knot-Induced Degradation in Timber Beams: Probabilistic Modeling and Data-Driven Prediction of Load Capacity Loss by Peixuan Wang, Guoming Liu, Fanrong Li, Shengcai Li, Gabriele Milani, Donato Abruzzese

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Uncertainty and Stochasticity in Modelling of Microstructure Evolution During Hot Rolling of Steels Uncertainty and Stochasticity in Modelling of Microstructure Evolution During Ho... by D. Szeliga, J. Foryś, J. Kusiak, R. Kuziak, R. Nadolski, M. Pietrzyk, Ł. Rauch

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Dual-Ascent-Inspired Transformer for Compressed Sensing by Rui Lin, Yue Shen, Yu Chen

“…DAT’s design incorporates the mathematical properties of the dual ascent method (DAM), leading to accelerated training convergence. The architecture features an innovative asymmetric primal–dual space at each iteration layer, enabling dimension-specific operations that balance reconstruction quality with computational efficiency. …”
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Enhanced glaucoma detection using U-Net and U-Net+ architectures using deep learning techniques by B.P. Pradeep kumar, Pramod K.B. Rangaiah, Robin Augustine

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