A promising high-sensitive 1D photonic crystal magnetic field sensor based on the coupling of Fano\Tamm resonance in far IR region by Hussein A. Elsayed, Mai Medhat, Ali Hajjiah, Haifa E. Alfassam, Mostafa R. Abukhadra, Ahmed Mehaney

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Transmittance Spectrum Analysis of a (SiO₂/TiO₂) One-dimensional Defective Photonic Crystal Structure for some Human Blood Compound Sensing by Ahlam AOUACHIR, Khalfallah BENBELGACEM, Kamal Eddine AIADI, Omar BENTOUILA, Anfal BENREZKALLAH

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Optimization of Fiber Ring Resonator Transmission Spectrum Based on Multi-Beam Interference Theory and Transfer Matrix Theory by Wenya Liu, Jiubin Tan, Jiwen Cui

“…Furthermore, different construction methods of TPMF-FRR were studied through theoretical analysis and experimental verification based on the transfer matrix theory, provide guidance for further optimizing the transmission spectrum. …”
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A Forecasting Method for COVID-19 Epidemic Trends Using VMD and TSMixer-BiKSA Network by Yuhong Li, Guihong Bi, Taonan Tong, Shirui Li

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Performance Evaluation of Three-Ply Multi-Oriented Laminate Composite Fabricated via Vacuum Assisted Resin Transfer Molding Method under Tensile Loading by Shafi Ullah, Muhammad Waseem, Babar Ashfaq, Muhmmad Bilal Khan, Muhammad Uzair Shah

“…These composites are typically manufactured using the Vacuum Assisted Resin Transfer Molding (VARTM) method. In laminated composites, properties are highly dependent on the orientation of the laminates and their proper adhesion with the epoxy matrix. …”
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Analysis of heat and mass transfer rates in conducting Casson fluid flow over an expanding surface considering Ohmic heating and Darcy dissipation effects by Rupa Baithalu, S.R. Mishra, P.K. Pattnaik, Subhajit Panda

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Launch dynamics modeling and simulation of box-type multiple launch rocket system considering plane clearance contact by Jinxin Tang, Guoping Wang, Genyang Wu, Yutian Sun, Lilin Gu, Xiaoting Rui

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Central composite design in predicting heat transfer rate on the time-dependent flow of Williamson nanofluid with chemical reaction: A response surface methodology by B.C. Rout, Subhajit Panda, S.R. Mishra, Rupa Baithalu

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An Accurate Representation of Incoherent Layers Within One-Dimensional Thin-Film Multilayer Structures With Equivalent Propagation Matrices by J. Puhan, B. Lipovsek, A. Burmen, I. Fajfar

“…We verify the proposed EMM against the general transfer-matrix method (GTMM) and the combined ray optics/wave optics model (CROWM) using two cases: an arbitrary multilayer structure with four incoherent glass layers, and a thin-film hydrogenated amorphous silicon solar cell. …”
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Effect of Γ – X band crossover on resonant tunneling properties of electrons in double-barrier triangular heterostructures by L. Bruno Chandrasekar, Lalitha Gnanasekaran, Madhappan Santhamoorthy, E. Priyadharshini, M. Karunakaran, Manikandan Ayyar, P. Shunmuga Sundaram

“…The transfer matrix method is employed to study the electron tunneling in GaAs/GaAlAs triangular double-barrier heterostructure. …”
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Influence of PNM-0.38PT Defect on Transmission of Multilayer Periodic Phononic Structure by S. Garus, M. Kuczyński, A. Kysiak, J. Garus, W. Sochacki

“…Transmission as a function of frequency was determined using the Transfer Matrix Method algorithm. The work showed the presence of band gaps in the analyzed structures. …”
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Interpretable Machine‐Learning and Big Data Mining to Predict the CO2 Separation in Polymer‐MOF Mixed Matrix Membranes by Hao Wan, Yue Fang, Min Hu, Shuya Guo, Zhiqiang Sui, Xiaoshan Huang, Zili Liu, Yue Zhao, Hong Liang, Yufang Wu, Hanyu Gao, Zhiwei Qiao

“…Furthermore, by utilizing Shapley Additive Explanations and data segmentation, it is identified that the pore limit diameter and largest cavity diameter in MOF features and the fractional free volume and density in polymer features are of paramount importance. Two extrapolation methods are compared and found that transfer learning is better for predicting CO2 separation performance in MMMs and designing new materials with large datasets. …”
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Comprehensive Style Transfer for Facial Images Using Enhanced Feature Attribution in Generative Adversarial Nets by Yongseon Yoo, Seonggyu Kim, Jong-Min Lee

“…Our method introduces two key innovations for enhanced feature attribution: 1) dual Gram matrix-based loss functions (G1 and G2), which operate at different stages of the generation process to capture richer style information by establishing deeper correlations between feature maps, and 2) a balanced training objective that integrates perceptual loss with cycle-consistency loss to maintain content fidelity during style transfer. …”
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A construction of heterogeneous transfer learning model based on associative fusion of image feature data by Wen-Fei Tian, Ming Chen, Zhong Shu, Xue-jun Tian

“…Finally, the regularization of the transfer mapping matrix is carried out to create the loss function to consistently train the image features to construct the heterogeneous transfer learning module. …”
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Comparative Analysis of Modulation Strategies for Indirect Matrix Converter Based on RMS Value of Common-mode Voltage by HUANG Linfeng, BAI Huan, YOU Shuai, WEN Liang, ZHANG Cheng, ZHANG Yanlei

“…Following this, an evaluation was performed on the suppression capability of different modulation methods on common-mode voltages. The comparative analysis results indicated that the space vector modulation method of synthesizing reference voltage using adjacent four effective voltage vectors at the inverter stage exhibited the best suppression effect on the rms value of common-mode voltages in IMCs. …”
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Singular-Value-Based Cluster Number Detection Method by Yating Li, Jianghui Cai, Haifeng Yang, Jie Wang, Chenhui Shi, Bo Liang, Xujun Zhao, Yaling Xun

“…Based on this, a singular-value-based cluster number detection method is proposed. First, the transferred K-nearest neighbors (TKNN) density formula is proposed to address the limitation of the DPC algorithm in failing to identify centroids in sparse clusters of unbalanced datasets. …”
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Applying deep learning for style transfer in digital art: enhancing creative expression through neural networks by Shijun Zhang, Yanling Qi, Jingqi Wu

“…Abstract Neural style transfer (NST) has opened new possibilities for digital art by enabling the blending of distinct artistic styles with content from various images. …”
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Parallel Jacobian Computation Based on Distance-2 Algorithm and Its Application in Coupling Problems by LIU Lixun, ZHANG Han, PENG Xinru, DOU Qinrong, WU Yingjie, GUO Jiong, LI Fu

“…Recently, the Newton-Krylov method with an explicit Jacobian matrix has become popular. …”

Innovative methods lined up for qualification of waste elastomer fillers by Lilla Simon-Stőger, Márton Szigeti, Csilla Varga

“…One of the practically useful outcomes have been the extension of LVE range of blends with the whole fraction of EPDM particles (0.00–1.25 mm) compared to larger particle domains, such as 0.40–0.63 mm; 0.63–1.00 mm and 1.00–1.25 mm; since the smaller particles increase the interfacial area favourable for stress transfer. The most influenced mechanical property was the elongation at break followed by the impact strength in w-EPDM blends but no other statistical correlation between the particle size distribution and the sample preparation method and the measured mechanical properties has been found for the other type filler containing blends. …”
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Application of Electrical Impedance Measurements’ Method for Studies of Bubble Flows by I. A. Konovalov, A. A. Chesnokov, A. A. Barinov, S. M. Dmitriev, A. E. Khrobostov, M. A. Makarov

“…In this regard the aim of this work is the use of extended methods of using matrix conductometric systems which are widespread in research practice for study of gas-liquid flows.The work uses a method of primary processing of experimental data aimed at eliminating of excess conductivity in the cells of the developed wire mesh sensor which makes it possible to obtain the values of the true volumetric gas content in the investigated area.Subsequent analysis of the possibilities to estimate the volumes of registered gas bubbles by the gradient method as well as the size of the interface in the sensor cells which plays a key role in modeling the interfacial heat and mass transfer.Comparison of readings values with the control instruments cues showed a good agreement. …”
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