Application of DEO Method to Solving Fuzzy Multiobjective Optimal Control Problem by Latafat A. Gardashova

“…On the other hand, the number of the criteria is not small and most of them are integral criteria. Due to the above mentioned aspects, solving the considered problem by using convolution of criteria into one criterion would lead to loss of information and also would be counterintuitive and complex. …”
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A new approach to the room impulse response simulation by H. Łopacz, R. Marczuk

“…The most important problem of room acoustics is the evaluation of the acoustic quality of projected and modernized rooms. …”
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A Study on Energy Consumption in AI-Driven Medical Image Segmentation by R. Prajwal, S. J. Pawan, Shahin Nazarian, Nicholas Heller, Christopher J. Weight, Vinay Duddalwar, C.-C. Jay Kuo

“…While training is energy-intensive, the recurring nature of inference often results in significantly higher cumulative energy consumption over a model’s life cycle. Depthwise Convolution with Mixed Precision achieves the lowest energy consumption during training while maintaining strong performance, making it the most energy-efficient configuration among those tested. …”
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An automatic modulation recognition network based on multi-channel lightweighting by WAN Jinhua, SHANG Junna, ZHANG Huadi

“…Existing automatic modulation recognition models perform well in recognition accuracy, but most methods have difficulty in achieving an ideal balance between the number of parameters and model performance. …”
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HiCDiffusion - diffusion-enhanced, transformer-based prediction of chromatin interactions from DNA sequences by Mateusz Chiliński, Dariusz Plewczynski

“…Several solutions have been proposed, most of which are based on encoder-decoder architecture, where 1D sequence is convoluted, encoded into the latent representation, and then decoded using 2D convolutions into the Hi-C pairwise chromatin spatial proximity matrix. …”
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University proceedings. Volga region. Technical sciences by V.I. Volchikhin, A.I. Ivanov, A.V. Bezyaev, I.A. Filipov

“…Replacing classical statistical criteria with their equivalent binary neurons provides significant redundancy of the output code of the neural network, which isconvolved with error elimination. The mechanism of convolution of code redundancy can be improved if the most informative part of the neuron response is not quantized. …”

Magma flow localisation during dyke propagation produces complex magma transport pathways by C. Allgood, E. W. Llewellin, R. J. Brown, A. Loisel

“…Abstract Basaltic fissure eruptions, the most common type of eruption on Earth, are fed by dykes, which are magma-filled cracks that propagate through the crust. …”
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WSN intrusion detection method using improved spatiotemporal ResNet and GAN by Yang Jing

“…A network intrusion detection method that integrates improved spatiotemporal residual network and generative adversarial network (GAN) in a big data environment is proposed to address the issues of poor feature extraction and significant impact from data imbalance in most existing intrusion detection methods. First, GANs are used for wireless sensor network data resampling to generate new sample sets, thereby overcoming the impact of data imbalance. …”
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Semi-supervised machine learning for primary user emulation attack detection and prevention through core-based analytics for cognitive radio networks by Sundar Srinivasan, KB Shivakumar, Muazzam Mohammad

“…Selfish attacks among other attacks are the most challenging, in which a secondary user or an unauthorized user with unlicensed spectrum pretends to be a primary user by altering the signal characteristics. …”
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Load Reconstruction Technique Using D-Optimal Design and Markov Parameters by Deepak K. Gupta, Anoop K. Dhingra

“…It has been noted that the computation of inverse Markov parameters, like most other inverse problems, is ill-conditioned which causes their convolution with the measured response to become quite sensitive to errors in system modeling and response measurements. …”
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GNN for LoRa Device Fingerprint Identification by Bojun Zhang

“…It calculates the similarity between signals using the Wasserstein distance and selects the top K most similar signals for each as first-order neighbors through heap sorting, constructing phase and RSSI(Received Signal Strength Indicator) graphs and transforming the signal classification problem into a graph-based node classification problem. …”
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Stationary Underdispersed INAR(1) Models based on the Backward Approach by Emad-Eldin A. A. Aly, Nadjib Bouzar

“… Most of the stationary first-order autoregressive integer-valued (INAR(1)) models in the literature have been developed using the idea of binomial thinning. …”
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Two-stage Detection Method for Abnormal Cluster Cervical Cells by LIANG Yi-qin, ZHAO Si-qi, WANG Hai-tao, HE Yong-jun

“…In the first stage, we use YOLO-v5 target detection network. The standard convolution in the network is replaced by deformable convolution. …”
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An Approach for Detecting Tomato Under a Complicated Environment by Chen-Feng Long, Yu-Juan Yang, Hong-Mei Liu, Feng Su, Yang-Jun Deng

“…Tomato is one of the most popular and widely cultivated fruits and vegetables in the world. …”
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Cutis verticis gyrata in a patient with multiple basal cell carcinomas; case presentation and review of the literature by Simona-Roxana Georgescu, Maria Isabela Sârbu, Cristina-Iulia Mitran, Mădălina-Irina Mitran, Alice Rusu, Vasile Benea, Mircea Tampa

“…Basal cell carcinoma is the most frequent cancer in Caucasians, patients frequently presenting multiple tumors. …”
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Airport Clearance Detection Based on Vision Transformer and Multi-Scale Feature Fusion by Yutong Chen, Yufen Liu, Zhixiong Guo, Qiang Gao

“…Secondly, to improve the feature extraction ability, partial convolution is replaced with dynamic convolution, and attention is introduced to the convolution kernel from four dimensions. …”
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Collective cell migration drives morphogenesis of the kidney nephron. by Aleksandr Vasilyev, Yan Liu, Sudha Mudumana, Steve Mangos, Pui-Ying Lam, Arindam Majumdar, Jinhua Zhao, Kar-Lai Poon, Igor Kondrychyn, Vladimir Korzh, Iain A Drummond

“…Complete blockade of pronephric fluid flow prevented cell migration and proximal nephron convolution. Selective blockade of proximal, filtration-driven fluid flow shifted the position of tubule convolution distally and revealed a role for cilia-driven fluid flow in persistent migration of distal nephron cells. …”
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Historicizing National Socialism and Mehmet Genç by Ahmet Okumuş

“…National Socialism, more than just a political ideology, signifies one of the most convoluted historical events of the twentieth century. …”
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Study the effect of obesity on the liver and kidney of the white rats embryos followed by using of grape seed oil to treat it. (morphological and histological study) by Rashid Khamees Shaaban, Aziz Khalid Hameed

“…After the treatment with grape seeds oil observed most of the embryos appeared normal in size and number without any lesions in the liver and kidney tissue of embryos. …”
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Estimating Bandwidth and Analyzing Worst-Case Delay Bounds Using Network Calculus by Md Amirul Islam, Giovanni Stea

“…This paper proposes a bandwidth estimation framework for Network-on-Chip systems using network calculus, addressing the challenges due to nonlinear behavior and dynamic traffic. However, most existing approaches struggle to predict bandwidth effectively when network traffic packets are affected by possible nonlinearity in the network infrastructure. …”
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