Innovations in bioethanol production: A comprehensive review of feedstock generations and technology advances by Abeer Kazmi, Tahira Sultana, Amir Ali, Aneela Nijabat, Gaojie Li, Hongwei Hou

“…Batch, fed-batch, and continuous fermentation techniques are used, with advances such as immobilized cell reactors and genetic engineering improving output and efficiency. Furthermore, combining enzymatic hydrolysis with fermentation (simultaneous saccharification and fermentation) enhances the conversion of complex carbohydrates to ethanol. …”
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Remaining Useful Life Prediction of Rolling Bearings Based on Policy Gradient Informer Model by Jiahao XIONG, Feng LI, Baoping TANG, Yongchao WANG, Ling LUO

“…These advantages enable the proposed rolling-bearing RUL-prediction method to obtain higher prediction accuracy, better robustness, and higher computational efficiency. …”
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LiDAR Sensor Parameter Augmentation and Data-Driven Influence Analysis on Deep-Learning-Based People Detection by Lukas Haas, Florian Sanne, Johann Zedelmeier, Subir Das, Thomas Zeh, Matthias Kuba, Florian Bindges, Martin Jakobi, Alexander W. Koch

“…However, to design these systems cost- and energy-efficiently, the relationship between the measurement data and final object detection output with deep neural networks (DNNs) has to be elaborated. …”
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Predictive Beamforming With Active Inference Under Continuous Time-Varying Channels by Naoki Nishio, Tatsuya Otoshi, Masayuki Murata

“…In dynamic communication environments, where channel conditions change continuously over time, beamforming employing massive multiple-input multiple-output (MIMO) in the millimeter wave (mmWave) band requires frequent beam re-alignment. …”
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Development and clinical validation of deep learning-based immunohistochemistry prediction models for subtyping and staging of gastrointestinal cancers by Junxiao Wang, Shiying Zhang, Jia Li, Mei Deng, Zhi Zeng, Zehua Dong, Fangfang Chen, Wen Liu, Lianlian Wu, Honggang Yu

“…Recently, deep learning-based IHC biomarker prediction models have been widely developed, but few investigations have explored their clinical application effectiveness. Methods In this study, we aimed to create an automatic pipeline for the construction of deep learning models to generate AI-IHC (Artificial Intelligence) output using H&E whole slide images (WSIs) and compared the pathology reports by pathologists on AI-IHC versus conventional IHC. …”
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SOCIO-ECONOMIC ASSESSMENT OF HUMAN RESOURCE MANAGEMENT EFFECTIVENESS UNDER UNCERTAINTY by Mykhailo Dreichuk, Yosyf Sytnyk

“…By addressing the limitations of traditional HRM evaluation methods, which often prioritize efficiency and cost control, the article proposes a more balanced and resilient approach suited for volatile environments. …”
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Identification and Analysis of Plastic Microparticles in the Inlet and Outlet of the Wastewater Treatment Plant and Investigation of the Relationship between Different Seasons of t... by Gholamreza Darvishi, Majid Ehteshami, Naser Mehrdadi, Reza Abedini

“…In the present study, an optimized method is introduced to efficiently detect and extract microplastics from the input effluent and output waste streams of the wastewater treatment plants. …”
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PIV-inspired triboelectric nanogenerator for airflow velocity sensing by Sijie Li, Hongyang Ning, Rui Lei, Fujian Zhang, Zhen Liu, Zhongqiang Zhang

“…By optimizing structural parameters, the stability and consistency of the electrical output can be significantly enhanced. Moreover, the average deviation between theoretical predictions and experimental measurements remained within 20%, validating the reliability of the proposed method. …”
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An ISAC-Assisted Beam Alignment Design for HAP-Based 6G Flying Ad-Hoc Networks by Muhammet Kirik, Liza Afeef, Huseyin Arslan

“…Utilizing an antenna activation controller, the proposed method efficiently uses a single antenna array for dual-purpose signals across different frequency bands, reducing deployment costs and enhancing system efficiency. …”
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Thermodynamic analysis and energy balance for environmental sustainability of simple gas turbine inlet cooling system in AFAM power plant by Aniekan Ikpe, Imoh Ekanem, Enefiok Usungurua

“…Gas turbine inlet cooling systems are used to lower the inlet air temperature, thereby increasing the power output and efficiency of gas turbines. In this study, a thermodynamic analysis was conducted on a gas turbine currently in use at the Afam power plant in Nigeria. …”
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Antenna Optimization Design Based on Deep Gaussian Process Model by Xin-Yu Zhang, Yu-Bo Tian, Xie Zheng

“…When using Gaussian process (GP) machine learning as a surrogate model combined with the global optimization method for rapid optimization design of electromagnetic problems, a large number of covariance calculations are required, resulting in a calculation volume which is cube of the number of samples and low efficiency. …”
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A Novel Fuzzy Model Predictive Control of a Gas Turbine in the Combined Cycle Unit by Guolian Hou, Linjuan Gong, Xiaoyan Dai, Mengyi Wang, Congzhi Huang

“…Furthermore, on account of the rapidity of the control process, the SHTS algorithm is used to solve the optimization problem rather than the traditional quadratic programming method. The validity of the proposed method is confirmed through simulation experiments of the gas turbine in a combined power plant. …”
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Adapted Speed Control of Two-Stroke Engine with Propeller for Small UAVs Based on Scavenging Measurement and Modeling by Yifang Feng, Tao Chen, Qinwang Liu, Heng Zhao

“…The feed-forward control strategy was built by a simplified crankcase–scavenging–cylinder model with CFD results under different air pressures, demonstrating a 1% error compared with CFD simulation. An iterative method of feed-forwarding was suggested for computing efficiency. …”
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Characteristic Mode-Based Neutralization Line Design for MIMO Antenna by Yitian Sun, Minmin Tian, G. S. Cheng

“…Compared with the traditional NL design method, the proposed approach simplifies the optimization process and saves lots of optimal design time. …”
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A cognitive transmission and deployment strategy for UAV-assisted hybrid RIS relay network by Min Zhang, Hao Cheng, Ruoyu Su, Yin Lu, Shangao Wang, Lu Zhang

“…Simulation results demonstrate that our method outperforms conventional UAV relay and static RIS schemes in terms of spectral efficiency, energy efficiency, and deployment flexibility. …”
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Considerations of Physical Design and Implementation for 5 MHz-100 W LLC Resonant DC-DC Converters by Akinori Hariya, Ken Matsuura, Hiroshige Yanagi, Satoshi Tomioka, Yoichi Ishizuka, Tamotsu Ninomiya

“…Also, the physical parameters and the size of the planar transformer are optimized by using derived equations and finite element method (FEM) with Maxwell 3D. Some experiments are done with prototype LLC resonant DC-DC converter using gallium nitride high electron mobility transistors (GaN-HEMTs); the input voltage is 42–53 V, the reference output voltage is 12 V, the load current is 8 A, the maximum switching frequency is about 5 MHz, the total volume of the circuit is 4.1 cm3, and the power density of the prototype converter is 24.4 W/cc.…”
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Deep learning-based semantic segmentation with novel navigation line extraction for autonomous agricultural robots by Chijioke Leonard Nkwocha, Ning Wang

“…Then, we proposed a novel navigation line extraction algorithm based on the Douglas–Peucker algorithm which uses the output mask from the semantic segmentation to extract the centre navigation line for robot guidance. …”
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Mine pressure prediction based on empirical mode decomposition linear model by Yuwei ZHU, Pengfei WANG, Huixian WANG, Qiangqiang NIU, Liang XIN

“…To ensure the safe and efficient extraction of coal mines and reduce sudden roof accidents, this study proposes a novel multivariate long-term sequence mine pressure prediction model—the Empirical Mode Decomposition Linear Model (EMD–Mixer). …”
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Safety Prediction Using Vehicle Safety Evaluation Model Passing on Long-Span Bridge with Fully Connected Neural Network by Yang Yang, Lin Yang, Bo Wu, Gang Yao, Hang Li, Soltys Robert

“…In particular, the input and output variables of the vehicle safety evaluation model are determined, and simultaneously training, validation, and testing data are achieved. …”
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A New Semisupervised-Entropy Framework of Hyperspectral Image Classification Based on Random Forest by Mengmeng Sun, Chunyang Wang, Shuangting Wang, Zongze Zhao, Xiao Li

“…Classification accuracy is obviously improved and efficiency is greatly improved, compared with the minimum distance and the SVM classifier and the CART classifier.…”
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