Development of IIOT-Based Pd-Maas Using RNN-LSTM Model with Jelly Fish Optimization in the Indian Ship Building Industry by PNV Srinivasa Rao, PVY Jayasree

“…The selected data set is pre-processed and feature selection for the optimization for the improvement in accuracy, and automation decision making the framework of the convolution neural network along with the ensemble boosted tree classifier developed is optimized using the jellyfish optimization and Recurrent Neural Network and Long Short-Term Memory (RNN-LSTM) model for the recognition of patterns and numerical vectors in the real-world data after processing of output then it is sent back as the input for the recurrent network to make the decision in the shipbuilding process. …”
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DTI-MHAPR: optimized drug-target interaction prediction via PCA-enhanced features and heterogeneous graph attention networks by Guang Yang, Yinbo Liu, Sijian Wen, Wenxi Chen, Xiaolei Zhu, Yongmei Wang

“…Abstract Drug-target interactions (DTIs) are pivotal in drug discovery and development, and their accurate identification can significantly expedite the process. Numerous DTI prediction methods have emerged, yet many fail to fully harness the feature information of drugs and targets or address the issue of feature redundancy. …”
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Structural characterization and epitope mapping of the AAVX affinity purification ligand by Mario Mietzsch, Manasi Kamat, Kari Basso, Paul Chipman, Juha T. Huiskonen, Robert McKenna

“…For the AAV production process, often scalable affinity chromatography columns are utilized, such as the POROS CaptureSelect AAVX affinity resin, during downstream processing to ensure highly purified AAV vectors. …”
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Pansharpening via Multiscale Embedding and Dual Attention Transformers by Wensheng Fan, Fan Liu, Jingzhi Li

“…Specifically, a multiscale embedding block is proposed to embed multiscale information of the images into vectors. Thus, transformers only need to process a multispectral embedding sequence and a panchromatic embedding sequence to efficiently use multiscale information. …”
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Combined formаtion of a cryptographic key using synchronized artificial neural networks by M. L. Radziukevich, V. F. Golikov

“…The analysis of the influence of network parameters on the process of eliminating the bit mismatch at the second stage is carried out. …”
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DEREGULATED EXPRESSIONS OF MYC ALTER THE EXPRESSIONS OF tRNAS IN BREAST CANCER CELLS by Pervin Elvan Tokgün, Onur Tokgün

“…Objective: The protein synthesis process is started with DNA being transcribed into mRNA in the nucleus, then mRNA is transported to the cytoplasm and attaches to a ribosome in order to be translated into a protein. …”
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Efficient network attack path optimization method based on prior knowledge-based PPO algorithm by Qiuxiang Li, Jianping Wu

“…We model the problem as a Markov decision process and theoretically analyze the selection of the discount factor to ensure the consistency between the goal of the MDP and the optimization objective. …”
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The complex rupture evolution of the long and slow, tsunamigenic 2021 South Sandwich Islands earthquake by Ryo Yamaguchi, Yuji Yagi, Ryo Okuwaki, Bogdan Enescu

“…To robustly analyse the detailed seismic source process of this long-source duration (over 200 s) event occurring in a convexly shaped subduction zone, we applied the Potency Density Tensor Inversion with a non-rectangular and non-planar source surface to the broadband teleseismic P-waves. …”
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Phylogeny and divergence time estimation of the subfamily Amphipsyllinae based on the Frontopsylla diqingensis mitogenome by Ju Pu, Xiaoxia Lin, Wenge Dong

“…Fleas are primarily parasites of small mammals and serve as essential vectors of the transmission of plague. The subfamily Amphipsyllinae (Siphonaptera: Leptopsyllidae) consists of 182 species across 13 genera, widely distributed worldwide. …”
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Coordinated surveillance system under the One Health approach for cross‐border pathogens that threaten the Union – options for sustainable surveillance strategies for priority path... by European Food Safety Authority (EFSA), John Berezowski, Katinka De Balogh, Fernanda C Dórea, Simon Ruegg, Alessandro Broglia, Gabriele Zancanaro, Andrea Gervelmeyer

“…Finally, there is a roadmap providing an overall description of the steps in the process of developing a surveillance system in order to apply for the grant.…”
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Fatty acid oxidation participates in resistance to nutrient-depleted environments in the insect stages of Trypanosoma cruzi. by Rodolpho Ornitz Oliveira Souza, Flávia Silva Damasceno, Sabrina Marsiccobetre, Marc Biran, Gilson Murata, Rui Curi, Frédéric Bringaud, Ariel Mariano Silber

“…Also established has been the capability of T. cruzi to use glucose and amino acids to support the differentiation process occurring in the insect, from replicative non-infective epimastigotes to non-replicative infective metacyclic trypomastigotes. …”
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ORGANIZING, STRUCTURING AND UNIFICATION OF CREDIT RISK ESTIMATE PROBLEMS WITHINTHE COMMERCIAL LENDING OF AGRICULTURAL ENTERPRISES by Zotov V.P., Chernichenko S.G., Chernysheva N.M.

“…The risk management process is based on the evaluation procedure that encourages authors to concentrate on the study of evaluation problems as the fundamental components of the risk management system. …”
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Graph Isomorphism and Hybrid-Order Residual Gated Graph Neural Network for Session-Based Recommendation by WANG Yonggui, YU Qi

“…Secondly, hybrid-order gated graph neural network is used to process the position embedding to capture the user intention reflected by the user􀆳s re-interaction after a long time, and the residual module is added to solve the degradation problem of deep network. …”
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Experimental Observation and Validation of EV Model for Real Driving Behavior by Antonio Covello, Andrea Di Martino, Michela Longo

“…Efforts are oriented to progressively dismiss old and outdated Internal Combustion Engines, replacing oil energy sources with electricity vectors. An important switch is involving transportation sector, responsible for 16% of global emissions produced, where the electrification process is converting the private mobility to the use of more sustainable electric vehicles. …”
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A data augmentation approach to enhance breast cancer detection using generative adversarial and artificial neural networks by Alawee Wissam H., Al-Haddad Luttfi A., Basem Ali, Al-Haddad Abdullah A.

“…Prior to analysis, the images were subjected to a sophisticated data augmentation process that leveraged data denoising, contrast enhancement, and the application of a generative adversarial network (GAN). …”
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THE RESEARCH ACTIVITY OF THE UNIVERSITY TEACHERS: DIRECTIONS, RESULTS, AND PROSPECTS. SOCIOLOGICAL CONTENT by I. A. Vasilyev

“…Scientific and theoretical analysis of publications on the researched topic are used as basic methods; sociological and diagnostic data collection methods; the method of statistical processing and classification of documentary and empirical data; the methods of content analysis and quantification of documentary and sociological information.Scientific novelty. …”
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Cluster Networking and Cooperative Localization Based on Biogeography Optimization and Improved Super-Multidimensional Scaling for Multi-Unmanned Aerial Vehicles by Shuhao Zhang, Huimin Zhang, Ying Zhan, Xiaokai Wei, Yang Liu

“…Subsequently, an improved adaptive sampling Nystrom super-multidimensional scaling algorithm is employed to dynamically select the kernel matrix row vectors. This selection process not only reduces data processing requirements but also enhances the accuracy of the similarity matrix approximation, thus diminishing computational complexity and achieving precise relative positioning of UAVs. …”
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A New Dynamic Path Planning Approach for Unmanned Aerial Vehicles by Chenxi Huang, Yisha Lan, Yuchen Liu, Wen Zhou, Hongbin Pei, Longzhi Yang, Yongqiang Cheng, Yongtao Hao, Yonghong Peng

“…Cost functions are established to represent the dynamically changing threats, and the cost value is considered as a scalar value of mobile threats which are vectors actually. In the process of searching for an optimal moving direction for UAV, the cost values of path, mobile threats, and total cost are optimized using ant optimization algorithm. …”
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Subspace Projection Attention Network for GPR Heterogeneous Clutter Removal by Yanjie Cao, Xiaopeng Yang, Conglong Guo, Dong Li, Peng Yin, Tian Lan

“…First, a heterogeneous concrete dataset based on a numerical model with randomly placed aggregates is constructed, which incorporates the complex electromagnetic propagation process accurately to improve the effectiveness for heterogeneous clutter removal. …”
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CircuitHD: Brain-Inspired Hyperdimensional Computing for Circuit Recognition by Paul R. Genssler, Lilas Alrahis, Ozgur Sinanoglu, Hussam Amrouch

“…., gate-level netlists) necessitate the encoding into fixed formats like vectors. For machine learning-based tasks, such vectors are the expected format. …”
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