Computed Tomography-Driven Design and Fused Filament Fabrication of Graded Density Bone Scaffolds by Luca Grigolato, Gianpaolo Savio

“…The lattice structure is designed and generated within the computer-aided manufacturing (CAM) software, ensuring consistent machine toolpaths. The 3D scalar field, representing a relative density map derived from CT Hounsfield units, drives the variation of the extrusion parameters generated by the CAM, achieving a graded-density lattice. …”
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AutoPVPrimer: A comprehensive AI-Enhanced pipeline for efficient plant virus primer design and assessment. by Abozar Ghorbani, Mahsa Rostami, Elham Ashrafi-Dehkordi, Pietro Hiram Guzzi

“…We present AutoPVPrimer, an innovative pipeline that integrates artificial intelligence (AI) and machine learning to accelerate the development of plant virus primers. …”
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Revolutionizing Automotive Technology: Unveiling the State of Vehicular Sensors and Biosensors by Raparthi Yaswanth, M. Rajasekhara Babu

“…Future research will focus on enhancing sensor performance and integration, incorporating machine learning and AI to refine data analysis and decision-making. …”
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Quantum kernel t-distributed stochastic neighbor embedding by Yoshiaki Kawase, Kosuke Mitarai, Keisuke Fujii

“…However, this visualization depends on the variational parameters of a quantum circuit rather than quantum states, which makes it difficult to understand the mechanism of the optimization process through the property of quantum states. …”
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Role of -SF₅ Groups in Modulating the Stability and Energy Characteristics of Fluorinated Molecules by Jelena Tamuliene, Jonas Sarlauskas

“…The widely applied DFT B3LYP/cc-pVTZ approach was employed to evaluate the HOMO–LUMO gap, cohesive energy, chemical hardness, and electronegativity. Based on these parameters, we predict the changes in chemical and thermal stability resulting from the inclusion of -SF₅ instead of -CF₃ or -OCF₃. …”
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Energy Supply System for Industrial Poultry Houses by Sit M.L., Juravliov A.A., Doroshenko A.V., Goncharenko V.A.

“…The heat pump produces heat of the required parameters of the input air and water for watering of poultry, space heating, etc. …”
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Virtual Modelling Framework-Based Inverse Study for the Mechanical Metamaterials with Material Nonlinearity by Yuhang Tian, Yuan Feng, Wei Gao

“…By employing an extended support vector regression (X-SVR), a powerful machine learning algorithm model, this study explores the uncertainty and sensitivity analysis and inverse study of re-entrant honeycombs under quasi-static compressive loads. …”
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Rail Corrugation Detection of High-Speed Railway Using Wheel Dynamic Responses by Jianbo Li, Hongmei Shi

“…Secondly, the estimation algorithm of wavelength is studied by analyzing the main frequency with EEMD. The optimal parameters of EEMD are selected according to the orthogonal coefficient of decomposition results and the distribution of the extreme points of signal. …”
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Research on Dynamic Energy Consumption of Front Warehouse Assembly Cold Storage and Analysis of Influencing Factors by Gu Han, Zhang Hua, Chen Xi, Zhao Ju

“…From an economic point of view, optimizing the relevant parameters of the air curtain to extend the optimum operating range of equipment could further reduce the load of cold storage and achieve energy saving.…”
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Power quality validation in micro off-grid daily load using modular differential, LSTM deep, and probability statistics models processing NWP-data by Ladislav Zjavka

“…The DfL models were compared with recent deep and machine learning techniques. Prediction models were formed after an initial detection of adequate daily training intervals. …”
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A Fault Identification Method of Mechanical Element Action Unit Based on CWT-2DCNN by Hongyu Ge, Yujiao Guo, Tianyu Luo, Manzhi Yang, Chuanwei Zhang

“…By collecting the vibration signals of four kinds of fault states and normal states of the worm rotation unit of the CNC machine tool, the data are preprocessed and identified. …”
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Exploring Price Patterns of Vegetables with Recurrence Quantification Analysis by Sofia Karakasidou, Athanasios Fragkou, Loukas Zachilas, Theodoros Karakasidis

“…The study applies RP visual inspection classification, a clustering based on RQA parameters, and a classification based on the RQA analysis graphs with epochs for the first time. …”
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ECONOMIC EFFICIENCY OF THE MECHANISATION TECHNOLOGY IN MAIZE by Anișoara DUMA COPCEA, Casiana MIHUȚ, Teodor MATEOC SÎRB

“…Agricultural aggregates, while moving on the ground, consume a large amount of energy, which is why the problem arises of determining, on a scientific basis, some constructive and operating parameters at which the energy consumption is minimal. …”
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Optimized window functions for spectral analysis based on digital filters by R.V. Petrosian

“…The proposed approach also shows promising potential for further development through the integration of machine learning techniques and heuristic algorithms, enabling automatic tuning of window parameters depending on analysis conditions.…”
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Unveiling the Power of Large Language Models: A Comparative Study of Retrieval-Augmented Generation, Fine-Tuning, and Their Synergistic Fusion for Enhanced Performance by Gulsum Budakoglu, Hakan Emekci

“…Fine-tuning updates the model parameters to improve the contextual accuracy. Our hybrid model balances the accuracy and efficiency of the two techniques. …”
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ON NECESSITY FOR CREATION OF TECHNOLOGICAL MACHINERY SYSTEM IN CONSTRUCTION COMPLEX by A. V. Vavilov

“…Such approach permits to create multi-functional technical facilities having not only similar basic machines but key equipment as well that differs only in design of finite element of working tool. …”
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Modernization of Kuban Economy in Late 1920s — 1930s by D. A. Salfetnikov

“…The study presents the results of a comparative analysis of the industrial potential of the Kuban districts, and raises questions about their identification parameters, including directions of development, reconstruction processes, and outcomes. …”
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A Combined Capacity Planning and Simulation Approach for the Optimization of AGV Systems in Complex Production Logistics Environments by Péter Kováts, Róbert Skapinyecz

“…Additionally, the main advantage of the method is that it provides a standardized framework for the simulation-based optimization of AGV systems starting out from the comprehensive production capacity parameters.…”
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3D Digital Tomography Image Reconstruction to Determine the Dimensions of Discontinuities in the Material Using MATLAB by Muhammad Farid Azri, Iwan Istanto, Ismail Ismail, Yuli Astriani

“…The tomographic image reconstruction was constructed from 90 images irradiated by an x-ray machine using digital radiography with constant irradiation parameters and a 2° rotational angle increment interval from 0°-180°. …”
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TFHE Gets Real: an Efficient and Flexible Homomorphic Floating-Point Arithmetic by Loris Bergerat, Ilaria Chillotti, Damien Ligier, Jean-Baptiste Orfila, Samuel Tap

“…One notable application is in machine learning, where Fully Homomorphic Encryption (FHE) can play a crucial role in safeguarding user privacy. …”
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