Hybrid Macroprogramming Wireless Networks of Embedded Systems with Declarative Naming by Chalermek Intanagonwiwat

“…Our result indicates that DRN enables programmers to develop energy-efficient applications with the desired flexibility and quality.…”
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Capturing the extent of climate's dynamic effects on runoff and nutrient yields across short- and long-term scales by Di Chang, Shuo Li

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Metabolomics for origin traceability of lamb: An ensemble learning approach based on random forest recursive feature elimination by Chongxin Liu, Simona Grasso, Nigel Patrick Brunton, Qi Yang, Shaobo Li, Li Chen, Dequan Zhang

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Capability-driven framework to automate discovery of bounded contexts in large-scale requirements engineering by Shohreh Ajoudanian, Maryam Nooraei Abadeh

“…We also provide the applicability of the approach from various points of view including quality and stability of bounded contexts, average precision, and query assessment. …”
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TSHD: Topic Segmentation Based on Headings Detection (Case Study: Resumes) by Majd E. Tannous, Wassim H. Ramadan, Mohanad A. Rajab

“…This can improve the quality of many NLP applications such as information extraction, information retrieval, summarization, and question answering. …”
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Improving the accuracy of calculating the speed of movement at the time of an accident in collisions with incomplete overlap of a part of the car by E. V. Golov

“…The proposed methodology regulates the use of the coefficient of variation as a criterion for the admissibility of the use of source data to determine the quality of the final result of the calculation. This mathematical device is applicable to all collisions, but is especially relevant when studying collisions with incomplete overlap of any part of the car body.…”
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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

“…We hypothesize that this better conspicuity leads to high-quality annotation (HAQ), enhancing deep learning (DL) algorithm detection of BMs on MPRAGE images. …”
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Permission clustering-based attribute value optimization by Wenchao WU, Zhiyu REN, Xuehui DU

“…In new large-scale computing environment, the attributes of entities were massive and they had complex sources and uneven quality, which were great obstacles to the application of ABAC (attribute-based access control).The attributes were also hard to be corrected manually, making it difficult to be applied in access control system straightly.To solve the optimization problem of nominal attributes, a novel algorithm of attribute value optimization based on permission clustering was designed, in which entities were presented by the privilege set related to them.So that the entities were tagged by density-based clustering method with distances of their privilege set presentations.Then the attribute values were reduced and corrected based on rough set theory.Finally, the algorithm was verified on UCI data sets, which proved that after applying it, ABAC policy mining was improved in the evaluation criteria, such as the true positive rate and F1-score.…”
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Quadratic interpolation optimization-based 2DoF-PID controller design for highly nonlinear continuous stirred-tank heater process by Serdar Ekinci, Davut Izci, Veysel Gider, Mohit Bajaj, Vojtech Blazek, Lukas Prokop

“…This work introduces a pioneering application of the QIO algorithm in industrial temperature control, offering a scalable and cost-efficient solution for complex nonlinear systems.…”
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Underwater image dehazing using a hybrid GAN with bottleneck attention and improved Retinex-based optimization by Amandeep Kaur, Shalli Rani, Mohammad Shabaz

“…This study presents exceptional quantitative performance across various evaluation metrics: a UIQM score of 3.71 (indicating image quality), a PSNR of 28.4 dB (reflecting signal fidelity), an SSIM of 0.88 (representing structural similarity), and a perceptual LPIPS score of 0.082. …”
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A New Gradient Based Surface Defect Detection Method for the Ceramic Tile by Murat Alparslan Güngör

“…Performance of the proposed method was evaluated with quality metric and subjective evaluation. …”
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Illumination-adaptative granularity progressive multimodal image fusion method by Chuanyun WANG, Dongdong SUN, Mingqi ZHOU, Tian WANG, Qian GAO, Zhaokui LI

“…Extensive experiments across several benchmark datasets—including MSRS and LLVIP for dark-light scenarios, TNO for mixed lighting conditions, RoadScene for continuous scenes, and M3FD for hazy conditions—show that the proposed method outperforms 11 state-of-the-art algorithms in qualitative and quantitative evaluations. …”
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Principal component analysis of time delay in large IP network by Xuan WEI, Xiaoying HUANG

“…Network time delay is one of the key indexes to evaluate network performance.Principal component analysis (PCA) is a kind of multivariable analysis and declination algorithm commonly used in the field of data mining.Based on PCA analysis of time delay in large IP networks, aiming to find out the deep reason of time delay and the interdependencies among nodes of the network, a scientific and reasonable network time delay evaluation system was built, and effective suggestions for IP network construction and optimization were finally got.The off-line analysis of the historical network delay is only a preliminary application of the PCA.In the future, PCA can be applied to the real-time on-line monitoring and analysis of the network performance, such as network traffic, network delay, network packet loss, etc., in combination with the network topology, current network traffic direction, routing, distance and other related factors, thus the efficiency and quality of network operations can be further improved.…”
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ON ESTIMATED ACCURACY OF PART CUTTING UNDER MACHINE INTELLIGENT CONTROL by Alexey Fedorovich Lysenko, Andrey Igorevich Izyumov, Oleg Valentinovich Goncharov

“…The novelty of the approach is in analyzing the effect of the combined characteristics that is more informative versus the effect estimate of each of them. An algorithm for the function calculation program of distributing the cutterpath coordinates used to evaluate entering the acceptable range is presented. …”
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Prediction of Total Soluble Solids in Apricot Using Adaptive Boosting Ensemble Model Combined with NIR and High-Frequency UVE-Selected Variables by Feng Gao, Yage Xing, Jialong Li, Lin Guo, Yiye Sun, Wen Shi, Leiming Yuan

“…The proposed framework enables the rapid, non-destructive detection of apricot TSSs and provides a reference for the quality evaluation of other fruits in agricultural applications.…”
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A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching by Jose Moises Araya-Martinez, Jose Moises Araya-Martinez, Vinicius Soares Matthiesen, Vinicius Soares Matthiesen, Simon Bøgh, Jens Lambrecht, Rui Pimentel de Figueiredo

“…Object pose estimation is essential for computer vision applications such as quality inspection, robotic bin picking, and warehouse logistics. …”
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A Large-Scale Building Unsupervised Extraction Method Leveraging Airborne LiDAR Point Clouds and Remote Sensing Images Based on a Dual P-Snake Model by Zeyu Tian, Yong Fang, Xiaohui Fang, Yan Ma, Han Li

“…The experimental results show that our PBEA achieves an area-based quality evaluation metric of 90.0% on the Vaihingen dataset and achieves the area-based quality evaluation metric of 92.4% on the Toronto dataset. …”
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Adaptive neuro-fuzzy inference systems for improved mastitis classification and diagnosis by Javad Shirani Shamsabadi, Saeid Ansari Mahyari, Mostafa Ghaderi-Zefrehei

“…However, due to the interplay of multiple evaluation criteria and the closely clustered fitted values, determining a definitive best model almost remained challenging In addition to improving udder health, milk quality, and economic viability, this research can contribute to ongoing soft computing efforts to improve mastitis detection and management in dairy cattle. …”
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Development of wireless electronic nose and using of remote monitoring by HU Ying, WANG Jun

“…The software introduces the structure of Z-Stack plate on the transplant, CC2530 data acquisition, AD (Analog to digital) conversion process and the development of the applications for the eight channel data acquisition and transmission, to ensure the accuracy of data transmission.Secondly, the communication quality of the system was evaluated and applied to detect the plum fruits. …”
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Key Technologies in Intelligent O&M System Construction for Urban Rail Transit Communication by WANG Xianlei

“…An equipment health index algorithm model and a big data architecture are proposed, and a tracking and evaluation platform encompassing ′cloud-data-intelligence′ is built. …”
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