Classification analysis of modern bioreactor systems (review). Part 1. Classification of bioreactors by design parameters by A. A. Dosaev, R. R. Safarov, N. V. Menshutina

“…It is worth noting that the information collected will be used by the authors in the future when conducting a system analysis to develop an information and analytical complex in the field of biotechnological processes using bioreactors.…”
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WDRIV-Net: a weighted ensemble transfer learning to improve automatic type stratification of lumbar intervertebral disc bulge, prolapse, and herniation by Ichiro Nakamoto, Hua Chen, Rui Wang, Yan Guo, Wei Chen, Jie Feng, Jianfeng Wu

“…WDRIV-Net can serve as a guide in the initial and efficient type screening of complex degeneration of lumbar intervertebral discs (LID) and assist in the early-stage selection of clinically differentiated treatment options.…”
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MICROSERVICE ARCHITECTURE FOR BUILDING HIGH-AVAILABILITY DISTRIBUTED AUTOMATED COMPUTING SYSTEM IN A CLOUD INFRASTRUCTURE by Denis Zolotariov

“…In the course of the research, methods of system analysis were used to decompose a complex system into elements and each element into functional components, and tools: information technologies Apache Kafka, Kafkacat, Wolfram Mathematica, nginx, Lumen, Telegram, Dropbox, and MySQL. …”
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The Linear Diophantine Fuzzy Z-Numbers Set: Development and Application to Decision Making in Textile Engineering Using the Bonferroni Mean Operator by Muhammad Umar Mirza, Rukhshanda Anjum, Hong Min, Badr S. Alkahtani, Mohd Anjum

“…Our method handles these complexities efficiently to allow decision-makers to compare fabrics in an uncertain environment while taking trade-offs between different criteria into account. …”
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Comparative Study of Algorithms for the Conversion From Surface Mesh Models to Volume Mesh Models by Youxi Wang, Qi Pang, Meng Li, Yang Liu

“…The results showed that the Frontal algorithm performed the best in the conversion of simple models with a CPU runtime of 0.001 s, while the Delaunay algorithm took relatively longer. For complex models, the Initial mesh, Delaunay, and Frontal algorithms were all successful in completing the conversion, but the HXT algorithm failed, highlighting the importance of algorithm selection. …”
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Comparing Nanofiltration and Ion Exchange for Reverse Osmosis Pretreatment in Industrial Water Treatment: A Techno-Economic Analysis by Harwin Harwin

“…Water softening is a crucial process in various industrial applications, and the selection of an appropriate system involves balancing technical efficiency, environmental impact, and economic considerations. …”
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Sugarcane Phenology Retrieval in Heterogeneous Agricultural Landscapes Based on Spatiotemporal Fusion Remote Sensing Data by Yingpin Yang, Zhifeng Wu, Dakang Wang, Cong Wang, Xiankun Yang, Yibo Wang, Jinnian Wang, Qiting Huang, Lu Hou, Zongbin Wang, Xu Chang

“…Remote sensing offers an efficient approach for large-scale phenology retrieval, but most studies have primarily focused on staple crops. …”
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Hybrid neural network method for damage localization in structural health monitoring by Fatahlla Moreh, Yusuf Hasan, Zarghaam Haider Rizvi, Sven Tomforde, Frank Wuttke

“…This design choice results in a more streamlined and efficient architecture. Our experimental results reveal an accuracy of 78.9%, which, while slightly lower than the performance of conventional CNN models, underscores the potential of RNN layers in crack detection tasks. …”
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YOLOv9-AAG: Distinguishing Birds and Drones in Infrared and Visible Light Scenarios by Peichun Suo, Jincan Zhu, Qingyang Zhou, Weili Kou, Xiuyan Wang, Wen Suo

“…However, achieving high precision in recognition under complex and dynamic conditions remains a significant hurdle. …”
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Novel ecofriendly spectrophotometric methods for the determination of six dihydropyridines calcium channel blockers through derivatization with sulfophtalein dye: application to ta... by Mariana Horyn, Liubomyr Kryskiw, Tetyana Kucher, Nadiya Zarivna, Olha Poliak, Liliya Logoyda

“…The optimal parameters for CCBs spectrophotometric analysis via complex formation using BPB were as follows: detection wavelength—596 nm, reaction time—5 min, ratio of reacting components—1:1, operating temperature—25 ± 2 °C. …”
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Solid-Phase Extraction and Large-Volume Sample Stacking-Capillary Electrophoresis for Determination of Tetracycline Residues in Milk by Gabriela Islas, Jose A. Rodriguez, Irma Perez-Silva, Jose M. Miranda, Israel S. Ibarra

“…SPE-LVSS-CE is a robust, easy, and efficient strategy for online preconcentration of tetracycline residues in complex matrices.…”
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Performance Comparison Between Deep Learning Models for Fault Classification in Transmission Lines Using Time Series Data by Nadeem Ahmed Tunio, Mohsin Ali Tunio, Muhammad Amir Raza, Muhammad Faheem, Ashfaque Ahmed Hashmani, Rumaisa Nadeem

“…ABSTRACT Deep learning has become a vital tool for addressing complex challenges in power systems, particularly fault detection and classification in transmission lines. …”
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Complete Coverage Path Planning for Wind Turbine Blade Wall-Climbing Robots Based on Bio-Inspired Neural Networks and Energy Consumption Model by Da Chen, Gang Yu, Shuchen Huang

“…Wind turbine blades, being the most expensive and failure-prone components, directly affect operational stability and energy efficiency. The efficient and precise inspection of these blades is therefore essential to ensuring the sustainability and reliability of wind energy production. …”
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A Tuning Method for Speed Tracking Controller Parameters of Autonomous Vehicles by Jianqiao Chen, Guofu Tian

“…While significant progress has been made in areas such as path planning, obstacle detection, and navigation, relatively less focus has been placed on vehicle speed control, which plays a critical role in ensuring safe and efficient operation, especially in complex and dynamic road environments. …”
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A Deep Learning Model for Spectral Reconstruction of Arrayed Micro-Resonators by Xinyi Zhou, Cheng Zhang, Zhenyu Zheng, Hongbin Li, Chao Peng

“…Nevertheless, achieving an optimal balance among spectral resolution, detection range, and device compactness remains challenging, particularly when complex nonlinear mappings, inter-pattern correlations, and noise interference are involved. …”
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Surface-Modified Carbon Dots for Cancer Therapy: Integrating Diagnostic and Therapeutic Applications by González M, Romero MP

“…Gene therapy applications take advantage of the ability of CDs to condense and protect genetic material from degradation, thereby facilitating efficient cellular uptake. Furthermore, metal-doped CDs can function as fluorophores and enhance imaging capabilities for tumor detection through fluorescence and MRI. …”
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An online multi-camera multi-vehicle tracking using lightweight YOLO11 and improved association strategies by Feijiang Huang, Jialong Yao, Chengyue Su, Sheng Xu

“…To overcome these issues, this paper proposes an efficient online MCMVT method that improves tracking accuracy in complex environments and is suitable for edge devices. …”
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Multi-Modal Fusion and Longitudinal Analysis for Alzheimer’s Disease Classification Using Deep Learning by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young Im Cho

“…<b>Background:</b> Addressing the complex diagnostic challenges of Alzheimer’s disease (AD), this study introduces FusionNet, a groundbreaking framework designed to enhance AD classification through the integration of multi-modal and longitudinal imaging data. …”
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Unsupervised Deep Clustering on Spatiotemporal Objects Extracted from 4D Point Clouds for Automatic Identification of Topographic Processes in Natural Environments by J. Wang, K. Anders

“…However, the automatic characterization and identification of these processes remain challenging due to the complex spatiotemporal data and unpredictable types of topographic processes in natural environments. …”
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CMOS-integrated organic neuromorphic imagers for high-resolution dual-modal imaging by Salihuojia Talanti, Kerui Fu, Xiaolong Zheng, Youzhi Shi, Yimei Tan, Chenxi Liu, Yanfei Liu, Ge Mu, Qun Hao, Kangkang Weng, Xin Tang

“…Abstract Simultaneously capturing static images and processing dynamic visual information within a single sensor enables a more comprehensive and efficient acquisition of scene information, thereby enhancing the understanding and processing of complex scenes. …”
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