Self‐Driving Lab for Solid‐Phase Extraction Process Optimization and Application to Nucleic Acid Purification by Sebastian Putz, Jonathan Döttling, Tim Ballweg, Andre Tschöpe, Vitaly Biniyaminov, Matthias Franzreb

“…The study highlights the SDL's capability to autonomously refine process parameters, achieving significant enhancements in yield and purity of the product. …”
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Predicting the mechanical behavior in FDM printing of biopolymers through boosting artificial neural networks by M. Laurenti, I. Bavasso, E. Palazzi, J. Tirillò, F. Sarasini, F. Berto

“…However, the mechanical behavior of FDM-produced specimens is intricately dependent on a range of printing parameters and testing conditions. In this study, a novel machine learning framework designed to map these process parameters to the resultant mechanical properties of specimens fabricated using polylactic acid (PLA), both in its neat form and when reinforced with natural fibers (flax and wood flour) is presented. …”
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Self-Supervised Neural Networks for Precoding in MIMO Rate Splitting Multiple Access Systems by Dheeraj Raja Kumar, Carles Anton-Haro, Xavier Mestre

“…The use of machine learning (ML) tools to address the challenges posed in next generation of wireless communication systems has been gaining significant momentum. …”
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Combustion Analysis of the Renewable Fuel HVO and RME with Hydrogen Addition in a Reciprocating Internal Combustion Engine by Stanislaw Szwaja, Saugirdas Pukalskas, Romualdas Juknelevicius, Alfredas Rimkus

“…In the era of depletion of fossil fuels, there is an intensive search for renewable fuels for the internal combustion engine, which is the most efficient thermal machine in the power range of several kW to several MW. …”
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AI for Predicting Pavement Roughness in Road Monitoring and Maintenance by Christina Plati, Angeliki Armeni, Charis Kyriakou, Dimitra Asoniti

“…In recent decades, numerous studies have investigated the application of Artificial Intelligence (AI), and more precisely of Artificial Neural Networks (ANNs), in the prediction of complex technical parameters, particularly in the field of road infrastructure management. …”
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A state evaluation and fault diagnosis strategy for substation relay protection system integrating multiple intelligent algorithms by Jiajun Wang, Shiyi Jing, Yu Yao, Kunlun Wang, Bo Li

“…Improved particle swarm optimization optimizes key SVM parameters to improve accuracy. In order to effectively classify defect categories, the K‐means clustering algorithm is implemented. …”
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Prospects for Adding Drugs with Known Anti-tuberculosis Activity to the Composition of Bone Cement for Treatment of Tuberculous Arthritis by E. O. Peretsmanas, V. S. Zubikov, A. E. Panova, A. N. Gracheva, A. A. Kazyulina, I. A. Gerasimov

“…The strength characteristics were determined using LFM-50 electromechanical testing machine.Results. The obtained results demonstrated satisfactory elution and antimycobacterial parameters for linezolid and amikacin, thus they can be mixed with bone cement, and the cement retained its strength characteristics. …”
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A high-efficiency modeling method for analog integrated circuits by Dongdong Chen, Yunqi Yang, Xianglong Wang, Di Li, Guoqing Xin, Yintang Yang

“…Due to the nonideal factors in analog ICs, the nonlinear relationship between design parameters and performance metrics cannot be well described by the deduced approximation equations. …”
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Feasibility of Conoscopic Holography Measurement in the Stereolithography (SLA) Process with Alumina by Lorenzo Meana, Víctor Meana, Eduardo Cuesta, Pedro Fernández, Gonzalo Valiño, Braulio J. Álvarez

“…Spherical artifacts in alumina were chosen as mathematically well-defined reference elements, and a representative series was produced with the best values for the printing, debinding, and sintering parameters. These spheres were first measured via contact with a coordinate measuring machine (CMM) to establish dimensional (diameter) and geometrical (form error) reference values. …”
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Development and evaluation of punching mechanism for de-seeding of ber fruit by Bharath Kumar Komatineni, B. Manjula, Sanwal Singh Meena, V. Kavan Kumar, Utkarsh Dwivedi, Akuleti Saikumar, Seelam Jaya Krishna, Sumit Kumar Vishwakarma

“…Its high efficiency and less pulp wastage make the machine preferable for progressive farmers. Graphical Abstract…”
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A model for Managing the Competitive Activitiesof Top-Level Teams Based on Computer Vision Online by Sergei L. Goldstein, Andrey A. Polozov, Natalia V. Papulovskaya, Natalya A. Maltseva, Maxim V. Kraev

“…The use of modern computer vision and machine learning methods has made it possible to create interactive data visualization.…”
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Modeling operation modes of hydraulic drives with frequency-throttle regulation of mobile transport and overloading ropes complexes by Lagerev A.V., Tarichko V.I., Lagerev I.A.

“…In relation to a specific version of the mobile rope complex, the calculations of the indicated hydrodynamic, kinematic and power parameters were carried out, as well as the analysis of the results obtained. …”
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Design and Development of Gorilla Optimized Deep Resilient Architecture for Prediction of Agro-Climatic Changes to Increase the Crop–Yield Production by Deepa Devarashetti, S. S. Aravinth

“…Abstract Predicting climatic changes is considered one of the most important economic parameters as it remains a catalyst for the agricultural system of any country. …”
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Evaluating effect of manufacturing process on design in metal binder jetting by Urs Hofmann, Julian Ferchow, Mirko Meboldt

“…The deformations are demonstrated, the impact of key design parameters is quantified and their significance is proven based on suitable statistical methods. …”
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Visual Detection on Aircraft Wing Icing Process Using a Lightweight Deep Learning Model by Yang Yan, Chao Tang, Jirong Huang, Zhixiong Cen, Zonghong Xie

“…Ghost Convolution and Atrous Spatial Pyramid Pooling modules are incorporated to reduce model parameters and computational complexity. The model is optimized using the transfer learning method, where pre-trained weights are utilized to accelerate convergence and enhance performance. …”
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“The hard problem” of consciousness in the light of phenomenology of аrtificial intelligence by Oleksandr Bilokobylskyi

“…However, it is precisely the features of the flow of intelligent machine processes that, both from the point of view of intermediate goals, and in the sense of final results, can pose serious threats. …”
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Research into the Production of Tungsten Heavy Alloys with Specific Mechanical Properties by Paweł SKOCZYLAS, Zbigniew GULBINOWICZ, Olgierd GOROCH, Katarzyna BARCZ, Mieczysław KACZOROWSKI

“…The analysis of the test results resulted in a proposal of manufacturing process parameters to have the alloys tested develop specified mechanical properties. …”
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Power flow analysis and volt/var control strategy of the active distribution network based on data-driven method by Chen Hui, Zhu Weiping, Liu Liguo, Shi Mingming, Xie Wenqiang, Zhang Chenyu

“…The traditional Power Flow Calculation (PLF) method of the distribution network is affected by the accuracy of model parameters, the convergence of the solution method, and other factors. …”
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Usage of the dwarf mongoose optimization-based ANFIS on the static strength of seasonally frozen soils by Bowen Liu, Junbin Chen, Xiaoguang Zhang, Zhenwei Wang

“…To find hyper-parameters of models as ideally as possible, the dwarf mongoose optimization algorithm (DMOA) was employed (ANF DW, and SVR DW). …”
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Kinematic analysis, methods and experimental studies of robot navigator movements on mecanum wheels by Sladkova L.A., Pshibiev A.M.

“…Machine learning and artificial intelligence, capable of making decisions on their own, have become indispensable tools for optimizing warehouse operations. …”