Parameter Identification and Linear Model of Giant Magnetostrictive Vibrator by Anming Wang, Jianjun Meng, Ruxun Xu, Decang Li

“…Therefore, the immune genetic algorithm (IGA) is applied in the identification of the five parameters of the Jiles–Atherton model and it showed a higher stability compared with the identification result of the differential evolution algorithm (DEA). …”
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Computer‐aided biochemical programming of synthetic microreactors as diagnostic devices by Alexis Courbet, Patrick Amar, François Fages, Eric Renard, Franck Molina

“…We show that proof‐of‐concept protosensors integrating diagnostic algorithms detect specific patterns of biomarkers in human clinical samples. …”
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Enhanced Spring Wheat Soil Plant Analysis Development (SPAD) Estimation in Hetao Irrigation District: Integrating Leaf Area Index (LAI) Under Variable Irrigation Conditions by Qiang Wu, Dingyi Hou, Min Xie, Qi Gao, Mengyuan Li, Shuiyuan Hao, Chao Cui, Keke Fan, Yu Zhang, Yongping Zhang

“…This study evaluated three machine learning algorithms (Random Forest, Support Vector Regression, and Multi-Layer Perceptron) for SPAD estimation in spring wheat cultivated in the Hetao Irrigation District. …”
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PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces. by Gursimran Singh, Aviral Chharia, Rahul Upadhyay, Vinay Kumar, Luca Longo

“…For advanced users, it facilitates the seamless integration of custom functionalities and novel algorithms with minimal coding, ensuring adaptability at each design stage. …”
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Optimal Zero-Defect Solution for Multiple Inspection Items in Incoming Quality Control by Wenqing Zhou, Yufeng Chen

“…Furthermore, we conduct experiments under scenarios with varying numbers of parts and inspection items across different batches to achieve zero-defect inspection, which ensures all non-conforming parts are identified and eliminated through systematic quality control procedures. Algorithms and programs are developed to implement the reported approach. …”
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A Survey on the Deep Learning-Based Mismatch Removal: Principles and Methods by Shiyu Chen, Cailong Deng, Yong Zhang, Yong Wang, Qixin Zhang, Zhimin Zhou

“…Due to the inherent limitations of matching algorithms and the complexities associated with image contents, mismatches are inevitable and can have detrimental effects on downstream tasks in computer vision and remote sensing. …”
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Planning Crop Production with the Use of Digital Technologies by V. V. Alt, S. P. Isakova

“…Agricultural production is shown to be associated with land distribution, variety of agricultural technologies, climatic variability, information diversity, complex algorithms for strategic and tactical decision making. …”
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METHODOLOGICAL APPROACH TO CONSTRUCTION OF A SYSTEM FOR DETECTION AND PREVENTION OF DESTRUCTION OF THE ACTIVITIES OF CONSTRUCTION PARTICIPANTS by Mykhailo Malykhin, Denys Dubinin, Olha Bielienkova

“…The present study is dedicated to establishing a systematic approach to safeguard the activities of developers, contractors, and project stakeholders against destructive impacts, including reputational, financial, and operational disruptions. …”
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Assessing uncertainties in parton showers at double logarithmic accuracy for jet quenching studies by Carlota Andres, Liliana Apolinário, Néstor Armesto, André Cordeiro, Fabio Dominguez, José Guilherme Milhano

“…Abstract We present a systematic study of how different choices of ordering and phase-space constraints in parton showers affect the space-time structure of vacuum parton cascades and their interface with jet quenching models. …”
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Decoding circRNA translation: challenges and advances in computational method development by Jingjing Zhang, Jingjing Zhang, Rui Zhou, Rui Zhou, Huiling Zhang, Yin Peng, Jintao Meng, Wenhui Xi, Yanjie Wei

“…Subsequently, we provide a systematic introduction to existing circRNA translation analysis tools and their underlying algorithms, with emphasis on benchmarking the performance of sequence-based methods using a unified dataset. …”
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A Comparison Between the Use of an Infrared Contact Mat and an IMU During Kinematic Analysis of Horizontal Jumps by Bjørn Johansen, Jono Neville, Roland van den Tillaar

“…These findings provide valuable insights for coaches and researchers in selecting appropriate measurement tools, highlighting the systematic differences between IR mats and IMUs in horizontal jump analysis.…”
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Multi-Fidelity Machine Learning for Identifying Thermal Insulation Integrity of Liquefied Natural Gas Storage Tanks by Wei Lin, Meitao Zou, Mingrui Zhao, Jiaqi Chang, Xiongyao Xie

“…Low-fidelity data are readily available but contain systematic errors, while high-fidelity data are accurate but limited in accessibility. …”
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Using Digital Intelligence in Promoting Mechanism for Medical Care Insurance for Rare Diseases: Concepts and Applications by YANG Xinyu, ZHANG Yuzheng, WANG Shengfeng, GUO Wudong

“…The machine learning algorithms improve the dynamic evaluation of drug safety and cost-effectiveness. …”
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Automating nested watershed delineation over the world considering endorheic basins and islands by Junzhi Liu, Bin Zhang, Yefeng Que, Shaoyi Tian, Wanhong Yang, Wei Hou

“…However, their construction is not yet fully automated, making the process labor-intensive and time-consuming, primarily due to the lack of algorithms capable of encoding endorheic watersheds and islands. …”
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A Methodological Study on Expanding the Microarchitectural Design Space of Melt Electrowriting by Kai Cao, Yi He, Anni Wang, Yunpeng Wang, Junyi Song, Jun Zhong, Qisheng Chen, Rongwu Wang

“…While previous studies have proposed various micropatterns for specific applications, a systematic methodology for microarchitectural design is still lacking, limiting MEW's capabilities. …”
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Detecting Post-Midnight Plasma Depletions Through Plasma Density and Electric Field Measurements in the Low-Latitude Ionosphere by Giulia D’Angelo, Emanuele Papini, Alessio Pignalberi, Dario Recchiuti, Piero Diego

“…To test the robustness and reliability of our algorithms, we also applied them to well-established Swarm B satellite observations. …”
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Application of artificial intelligence technologies for the detection of early childhood caries by Priyanka A, Rishi Sreekumar, S Namasivaya Naveen

“…In this review, we systematically surveyed previous studies on applying ML and DL algorithms for caries prediction. …”
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A statistical study on factors influencing piezoelectric properties of upside-down composites towards machine learning-driven development for recycling by Sivagnana Sundaram Anandakrishnan, Suhas Yadav, Mohadeseh Tabeshfar, Mikko Nelo, Jani Peräntie, Yang Bai

“…Previous works have identified obstacles to developing reliable models that can provide a systematic understanding of the contributors to the properties of the recycled materials. …”
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Metrological evaluation and classification of porosity in metal additive manufacturing using X-ray computed tomography by Ibon Holgado, Naiara Ortega, José A. Yagüe-Fabra, Soraya Plaza, Herminso Villarraga-Gómez

“…The VGDefX algorithm, which incorporates a probability-based and iterative approach, demonstrates superior repeatability, achieving subvoxel systematic errors and measurement uncertainties for dimensions exceeding five times the voxel size. …”
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Structure and Antibiotic Resistance of the Main Causative agents of Infections Associated with the Provision of Medical care by N. M. Voropaeva, U. M. Nemchenko, E. V. Grigorova, N. L. Bel'kova, N. N. Chemezova, E. D. Savilov

“…Bacteriological identification of selected strains was performed using standardized bacteriological algorithms and MALDI-TOF direct protein profiling of non-spore-forming microorganisms. …”
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