Current Diagnosis and Management of Thyroid Nodules by Tjokorda Gde Dalem Pemayun

“…This article provide an up-date review of diagnostic approach and management of thyroid nodules, focusing on current algorithm in lights of the most recent published American Thyroid Association thyroid nodule and differentiated thyroid cancer management guidelines.…”
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Methodology for Assessing the Level of Digitalization of the Construction Industry by A. S. Mishchenko

“…The methodology is based on the current algorithm for introducing digital tools into the work of construction companies, which simultaneously reflects all stages of the life cycle of construction projects and the trend towards increasing the degree of digital interaction. …”
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Risks of transmission blood-borne viral infections via blood transfusion, organ and tissue transplantation by M. Sh. Khubutiya, S. A. Solonin, A. I. Bazhenov, E. N. Kobzeva, Yu. V. Smirnova, M. A. Godkov

“…We have shown that the current algorithm of screening for BBVI in organ donors does not detect these infections duringa "window period", nor their occult forms. …”
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Cost Index Predictions for Construction Engineering Based on LSTM Neural Networks by Jiacheng Dong, Yuan Chen, Gang Guan

“…This research extended current algorithm tools that can be used to forecast cost indexes and evaluated the optimization mechanism of the algorithm in order to improve the efficiency and accuracy of prediction, which have not been explored in current research knowledge.…”
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Predicting the Remaining Useful Life of an Aircraft Engine Using a Stacked Sparse Autoencoder with Multilayer Self-Learning by Jian Ma, Hua Su, Wan-lin Zhao, Bin Liu

“…The choice of such features is highly significant, but there are some weaknesses in the current algorithm for RUL prediction, notably, the inability to obtain tendencies from the data. …”
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Human–Computer Vision Collaborative Measurement of Surgical Exposure and Length in Endonasal Endoscopic Skull Base Surgery by Chia-En Wong, Yu-Chen Kuo, Da-Wei Huang, Pei-Wen Chen, Heng-Jui Hsu, Wei-Ting Lee, Shang-Yu Hung, Jung-Shun Lee, Sheng-Fu Liang

“…The measured length and area were calibrated by training the current algorithm using EEA videos. A total of 50 EEA operative videos were analyzed, with 95.1%, 95.8%, and 96.2% accuracies in the training, test-1 and test-2 datasets, respectively. …”
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Symmetry-driven embedding of networks in hyperbolic space by Simon Lizotte, Jean-Gabriel Young, Antoine Allard

“…We show that the samples are consistent with current algorithms while providing added credible intervals for the coordinates and all network properties. …”
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Generative Target Tracking Method with Improved Generative Adversarial Network by Yongping Yang, Hongshun Chen

“…The experimental results under OTB2015 and IVOT2018 datasets demonstrate that the proposed multitarget tracking algorithm has high accuracy and robustness, with 65% less jumps and 0.25% more accuracy than the current algorithms with minimal identity exchange and jumps.…”
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A Gray Predictive Evolutionary Algorithm with Adaptive Threshold Adjustment Strategy for Photovoltaic Model Parameter Estimation by Wencong Wang, Baoduo Su, Quan Zhou, Qinghua Su

“…Meta-heuristic algorithms are the dominant techniques for parameter estimating for solar photovoltaic (PV) models. Current algorithms are primarily designed with a focus on search performance and convergence speed, but they fail to account for the significant difference in the lengths of the feasible regions for each decision variable in the solar parameter estimation problem. …”
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MCCA-VNet: A Vit-Based Deep Learning Approach for Micro-Expression Recognition Based on Facial Coding by Dehao Zhang, Tao Zhang, Haijiang Sun, Yanhui Tang, Qiaoyuan Liu

“…In the past few years, deep learning methods based on optical flow and Transformer have achieved excellent results in this field, but most of the current algorithms are mainly concentrated on establishing a serialized token through the self-attention model, and they do not take into account the spatial relationship between facial landmarks. …”
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Studying the performance of YOLOv11 incorporating DHSA BRA and PPA modules in railway track fasteners defect detection by Chengwei Zhang, Jiawei Zhu, Yihao Ma, Qingmei Huang

“…Abstract With the development of railway transportation and the advancement of deep learning, object detection algorithms are increasingly replacing manual inspection of track fasteners. However, current algorithms struggle with low accuracy in complex weather conditions or low-contrast backgrounds. …”
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Weld seam location with adaptive fracture repair on minor-caliber pipe by Yong Yan, Jingyu Zhang, Lingjiang Guo, Heming Zhao, Fan Zhang

“…High-precision weld positioning is crucial for enhancing welding quality and structural reliability. Current algorithms are challenged by uneven laser reflectivity, complex surface curvature, and noise interference. …”
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Postoperative Neurocognitive Disorders: the Legacy of Almost 400 Years of History (Review) by L. B. Berikashvili, K. K. Kadantseva, N. V. Ermokhina, M. Ya. Yadgarov, D. G. Makarevich, A.  V. Smirnova, V. V. Likhvantsev

“…The paper also delves into current viewpoints concerning the etiology of particular postoperative neurocognitive disorders, and PND potential relevance for postoperative outcomes.Conclusion. Current algorithms and modalities used for PND diagnosis, are novel but yet not ultimate for IMC in the context of continuous progress in medical practice. …”
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Near Miss Detection Using Distancing Monitoring and Distance-Based Proximal Indicators by Lek Ming Lim, Lu Yang, Wen Zhu, Ahmad Sufril Azlan Mohamed, Majid Khan Majahar Ali

“…YOLOv7+CNeB significantly reduces the time required to collect evidence from specific roads, provides visual reports, and addresses technical limitations in current algorithms. Future research should explore additional factors contributing to near-miss events, such as road environment, lane changes, and driver behaviours.…”
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LE-YOLO: A Lightweight and Enhanced Algorithm for Detecting Surface Defects on Particleboard by Chao He, Yongkang Kang, Anning Ding, Wei Jia, Huaqiong Duo

“…Current algorithms for surface defect detection in particleboard often encounter limitations such as high computational complexity and excessive parameter scale. …”
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CHDPL-Net: a lightweight network for Chinese herbal decoction pieces detection by Chuhe Lin, Zhijun Xie, Xing Jin, Hangjuan Lin, Renguang Shan

“…However, the performance of current algorithms remains unsatisfactory. To address this, we have constructed a diverse CHDP dataset and proposed a lightweight network for CHDP detection, named CHDPL-Net. …”
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Using de novo assembly to identify structural variation of eight complex immune system gene regions. by Jia-Yuan Zhang, Hannah Roberts, David S C Flores, Antony J Cutler, Andrew C Brown, Justin P Whalley, Olga Mielczarek, David Buck, Helen Lockstone, Barbara Xella, Karen Oliver, Craig Corton, Emma Betteridge, Rachael Bashford-Rogers, Julian C Knight, John A Todd, Gavin Band

“…Several of these variants are not accurately callable using current algorithms, implying that further methodological improvements are needed. …”
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