Microstructure evolution and constitutive modeling of Cu-bearing high-strength low-alloy steel during hot deformation by Liye Kan, Qibin Ye, Shiwei Zhang, Zhaodong Wang

“…Consequently, industrial applications necessitate a thorough comprehension and modeling of this process. …”
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SPAGRM: effectively controlling for sample relatedness in large-scale genome-wide association studies of longitudinal traits by He Xu, Yuzhuo Ma, Lin-lin Xu, Yin Li, Yufei Liu, Ying Li, Xu-jie Zhou, Wei Zhou, Seunggeun Lee, Peipei Zhang, Weihua Yue, Wenjian Bi

“…Extensive simulations and real data analyses demonstrated that SPAGRM maintains well-controlled type I error rates and SPAGRM(CCT) can serve as a broadly effective method. …”
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Rapid screening and optimization of CO2 enhanced oil recovery operations in unconventional reservoirs: A case study by Shuqin Wen, Bing Wei, Junyu You, Yujiao He, Qihang Ye, Jun Lu

“…The proposed framework was validated by comparing the GA-RF predictions with simulation results under different reservoir conditions, which yielded a minimum relative error of 0.34% and an average relative error of 5.3%. …”
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Accuracy fluctuations of ICESat-2 height measurements in time series by Xu Wang, Xinlian Liang, Weishu Gong, Pasi Häkli, Yunsheng Wang

“…For the terrain, the 100 m segment shows a bias of 0.04 m, a mean absolute error (MAE) of 0.44 m, and a root mean square error (RMSE) of 0.66 m, while the 20 m segment exhibits a bias of 0.10 m, a MAE of 0.35 m, and an RMSE of 0.49 m. …”
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Automated Cattle Head and Ear Pose Estimation Using Deep Learning for Animal Welfare Research by Sueun Kim

“…The developed system holds promise for practical applications in animal welfare research and real-time farm management.…”
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Evolutionary Artificial Intelligence Algorithm for Optimizing Step Phase Detection Based on Foot-Mounted Triaxial Accelerometer Data by P. A. Khmarskiy

“…This challenge is crucial not only for objective rehabilitation and monitoring of motor activity, but also for sports analytics, ergonomics, gaming and engineering applications, as well as studies of human locomotion. …”
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Simple circuit equivalents for the constant phase element. by Sverre Holm, Thomas Holm, Ørjan Grøttem Martinsen

“…The simulation corresponds exactly to the expected response from the proposed equivalents within 0.1% error. The realization with time-varying components correlates with known time-varying properties in applications, and may lead to a better understanding of the link between CPE and applications.…”
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Electrical impedance spectroscopy for non-destructive meat freshness assessment by Shiqian Wang, Ziye Zhang, Xinyao Zhao, Xinqing Xiao

“…Electrical impedance spectroscopy (EIS), recognized for its high reproducibility, user-friendly nature, non-polluting properties, measurement stability, and controllable error rates, stands out as a cutting-edge, non-destructive technique for quality assessment in today's landscape of equipment, applications, and data analysis methodologies. …”
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Innovative graphic design by Liu Wei, Oleksandra kolisnyk

“…The authors found that Designs.ai (2.5) and Adobe Sensei (2.23) may be the most effective AI applications for creating graphic design on a website. …”
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Inferring the source of transmission with phylogenetic data. by Erik M Volz, Simon D W Frost

“…Identifying the source of transmission using pathogen genetic data is complicated by numerous biological, immunological, and behavioral factors. A large source of error arises when there is incomplete or sparse sampling of cases. …”
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Improving dependability with low power fault detection model for skinny-hash. by Sonal Arvind Barge, Gerardine Immaculate Mary

“…The increasing popularity and prevalence of Internet of Things (IoT) applications have led to the widespread use of IoT devices. …”
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Knowledge Discovery Using Clustering Methods in Medical Database: A Case Study for Reflux Disease by Fatma Rıdaouı, Yunus Doğan

“…Nowadays, artificial intelligence applications in the field of gastroenterology stand out in various sources in the literature. …”
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Estimation of PM10 and PM2.5 Using Backscatter Coefficient of Ceilometer and Machine Learning by Bu-Yo Kim, Joo Wan Cha, Yong Hee Lee

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Accuracy Assessment of RTK, PPK, and PPP-AR Techniques for Direct Georeferencing in UAV-Based Photogrammetric Mapping by M. Arkalı, M. E. Atik

“…RTK and PPK techniques achieve Root Mean Square Error (RMSE) values of less than 10 centimeters. …”
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Unlocking the structural, vibrational, electronic, optical and thermoelectric properties of K2X (X=S, Se, Te) monolayers via DFT and ML by G. Sneha, R.D. Eithiraj

“…Machine learning algorithms namely Decision Tree Regressor and Gradient Boosting Regressor out-performs the other ML models with least root mean square error (RMSE) and accurate R2 values. The K2Se monolayer shows favourable ZT value than K2S and K2Te making it a desirable one for thermoelectric applications.…”
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AGTS: Novel automated generation of smart contract test suites for Hyperledger Fabric by Lixue Liu, Qiqi Gu, Wei Ke

“…By automating the tedious and error-prone task of writing test cases, AGTS accelerates the development process and fortifies the security framework of blockchain applications. …”
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Advanced DFE, MLD, and RDE Equalization Techniques for Enhanced 5G mm-Wave A-RoF Performance at 60 GHz by Umar Farooq, Amalia Miliou

“…Conversely, MLD is utilized in applications that require great precision and dependability, including multi-input–multi-output (MIMO) systems, satellite communications, and radar technology. …”
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Compression Index Regression of Fine-Grained Soils with Machine Learning Algorithms by Mintae Kim, Muharrem A. Senturk, Liang Li

“…The algorithms are trained and evaluated using metrics such as the coefficient of determination (R²), mean absolute error (MAE), mean squared error (MSE), and root mean squared error (RMSE). …”
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Artificial Intelligence in UAV Flight Controls: Deep Reinforcement Learning Based Altitude-Hold Strategies for Fixed-Wing UAVs by Hasan Raza Khanzada, Adnan Maqsood, Abdul Basit

“…The RL controllers outperformed the baseline PID controllers, among which the unified RL controller achieved a steady-state error of 0.58 meters and a transient response time of 5 seconds, compared to the PID controller’s 1.11 meter steady-state error and transient response time of 16 seconds, thereby reducing the error by 48% and improving the response time by nearly 69%. …”
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Exploring the Capacity of Large Language Models to Assess the Chronic Pain Experience: Algorithm Development and Validation by Jacopo Amidei, Rubén Nieto, Andreas Kaltenbrunner, Jose Gregorio Ferreira De Sá, Mayte Serrat, Klara Albajes

“…GPT-4 was comparable in terms of agreement with experts (with a weighted percentage agreement higher than 0.95), correlations with standardized measurements (for example in the range of 0.43 and 0.49 between the Revised Fibromyalgia Impact Questionnaire and GTP-4 with temperatures 1), and low error rates (root mean squared error of 1.20 for severity and 1.44 for disability). …”
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