Various scenarios of measurements using a smartphone with a LiDAR sensor in the context of integration with the TLS point cloud by Janicka Joanna, Błaszczak-Bąk Wioleta

“…Smartphones with Light Detection and Ranging (LiDAR) sensors are increasingly used for engineering measurements. …”
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A DNN-based 5G MIMO system adopting a mix of tactics by Md. Matiqul Islam, Md. Ashraful Islam, Md. Firoz Ahmed

“…The proposed system employs a linear minimum mean square error (LMMSE) equalizer to ensure effective signal detection. …”
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Disruptive colouration and perceptual grouping. by Irene Espinosa, Innes C Cuthill

“…As predicted, error rates for targets matching what appeared to be different background objects were higher than for targets which had otherwise identical local contrast to the background but appeared to belong to single background objects. …”
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Temperature and Frequency Dependence of Human Cerebrospinal Fluid Dielectric Parameters by Weice Wang, Mingxu Zhu, Benyuan Liu, Weichen Li, Yu Wang, Junyao Li, Qingdong Guo, Fang Du, Canhua Xu, Xuetao Shi

“…The final established formula can calculate the complex impedivity of CSF with a maximum fitting error of 3.79%. Furthermore, the ROC based on the real part of impedivity at 10 Hz and 17 °C yielded an area under the curve (AUC) of 0.898 with a specificity of 0.889 and a sensitivity of 0.944. …”
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Brain Imaging and Ultrastructural Studies of the Effect of Electroacupuncture on Improving Learning and Memory Impairments in the Focal Cerebral Isch-emia Rats by Ruhui LIN, Kunqiang YU, Xiaojie LI, Congkuai ZHAO, Chunyan LI

“…The learning and memory ability of the rats was evaluated by Morris water maze, the cerebral infarction volume was detected by the small animal MRI and TTC staining, the brain ultrastructure was observed by transmission electron microscopic (TEM).Results:The time finding the plat and the error rate significantly reduced in the EA group in comparison with that in the IC group, while the cerebral infarction volume significantly decreased and the brain ultrastructure(mitochondria, nuclear membrane, etc.)of the rats was improved significantly, which showed that there was a statistically significant difference between the groups(<italic>P</italic>&lt;0.05).Conclusion:Electroacupuncture at <italic>Baihui</italic> and <italic>Shenting</italic> could improve the ability of learning and memory after MCAO by reducing the cerebral infarction volume and protecting the brain ultrastructure in rats.…”
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A comparative study on quantitative precipitation estimation based on GPM satellite and X-band phased-array weather radar by Yongyan Su, Yongyan Su, Yongyan Su, Di Wang, Wenyu Kong, Bo Zhao, Yan Liu, Xuejiao Chen, Debin Su

“…Furthermore, the root mean square error (RMSE) and mean absolute error (MAE) for XPAR against ground observations were 1.2g mm and 0.64 mm, respectively, while for GPM, these values were significantly higher at 6.98 mm and 1.91 mm. findings highlight the superior capability of XPAR in accurately estimating precipitation, which is crucial for enhancing the detection and early warning of heavy rainfall events.…”
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Methodology for plotting the flight planned route change of the aircraft in flight by M. A. Kiselev, Y. S. Kalyuzhny, A. V. Karpov, S. F. Borodkin

“…During the determination of alternative routes to circumvent the encountered obstacle, as well as during the implementation process of the chosen rerouted route, the flight crew makes errors due to increased psycho-physiological workload and time constraints. …”
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Reducing soft tissue artefacts through projection of markers and microwave imaging: An exploratory study by Vignesh Radhakrishnan, Martin Robinson, Niccolo M. Fiorentino, Samadhan B. Patil, Adar Pelah

“…Abstract Soft tissue artefacts (STA) are widely considered the most critical source of error in skin-mounted marker-based biomechanics, negatively impacting the clinical usability of skin-mounted marker-based data. …”
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Machine learning–based feature prediction of convergence zones in ocean front environments by Weishuai Xu, Lei Zhang, Hua Wang

“…The model achieved an accuracy of 82.43% in predicting the convergence zone’s distance with an error of less than 1 km. Additionally, it attained a 77.1% accuracy in predicting the convergence zone’s width within a similar error range. …”
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Thermoluminescence Properties of Plagioclase Mineral and Modelling of TL Glow Curves with Artificial Neural Networks by Mehmet Yüksel, Emre Ünsal

“…Among these, the BR algorithm demonstrated the best performance with an accuracy value of 0.99915, a Mean Absolute Error (MAE) of 2.34 × 10⁻³, and a Mean Squared Error (MSE) of 3.82 × 10⁻⁵, outperforming LM and SCG in in terms of generalization and accuracy. …”
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SentiTSMixer: A Specific Model for Sales Forecasting Using Sentiment Analysis of Customer by Partha Ghosh, Subhashis Das, Subhankar Roy, Ankur Bhattacharjee, Agostino Cortesi, Soumya Sen

“…Experimental results on various types of Amazon data show that, depending on the dataset and the specific error detection techniques used, the proposed model delivers a reduction in error ranging from 65% to 99% compared to established models.…”
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AdapTree: Data-Driven Approach to Assessing Plant Stress Through the AI-Sensor Synergy by Divisha Garg, Harpreet Singh, Yosi Shacham-Diamand

“…These findings validate the reliability and effectiveness of the proposed AI-driven framework in accurately interpreting sensor data for plant stress detection. …”
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Directional dependence of the angular resolution of a radio antenna array due to the Earth’s magnetic field by Yousef Pezeshkian, Shiva Omidifar, Mahmud Bahmanabadi

“…We have determined that utilizing the east-west component of the electric field yields improved angular resolution for our array compared to the north-south and vertical components. Our findings reveal a significant correlation between the error in direction estimation of cosmic rays and the angle between the earth’s magnetic field and the cosmic ray’s trajectory. …”
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Analysis and Verification Results of Manual Inspection of Pavement Condition Index by Szu-Han Lu, Jyh-Dong Lin, Yi-Shian Chiou

“…However, the lack of standardized detection and accreditation mechanisms in the past may have led to variations in the reliability of detection results among different personnel. …”
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Rancang Bangun dan Evaluasi Sistem Sortir Otomatis Barang dengan Metode Deteksi Objek YOLO v5 dan Kendali PLC Outseal by Daniel Sutopo Pamungkas, Shendy Saputra, Anastasya Andaresta Pelmelay

“… Manual sorting in manufacturing is time-consuming, labor-intensive, and prone to errors, especially when items have similar colors and shapes. …”
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Artificial intelligence applications in pediatric ophthalmology: A comprehensive review by Anupama Janardhanan, Meenakshi Ravindran, Allapitchai Fathima, Neelam Pawar

“…Furthermore, it explores existing AI models and their applicability in diagnosing refractive errors and strabismus. Despite the significant promise of AI, challenges such as data availability, diversity, and integration into clinical workflows persist. …”
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A Comprehensive Analysis of the Security of ML Integrated CPS as Autonomous Vehicles by Kesava reddy, Kumudham R

“…The complexity of these systems often results in connected devices undergoing errors, and there is an occurrence of risk at various cyber-attacks. …”
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Tracking dustbathing behavior of cage-free laying hens with machine vision technologies by Bidur Paneru, Ramesh Bist, Xiao Yang, Lilong Chai

“…Earlier studies have identified DB behavior using manual method such as counting number of DB bouts, and duration of DB bouts from video recordings. The manual detection of DB behavior is time-consuming, sometimes prone to errors, and have limitations. …”
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Reframing Sleep Diagnostics: A Structured Clinical Guide to Polysomnography Evaluation by Elvie Zulka Kautzia Rachmawati, Mikhael Yosia

“…A practical stepwise framework is provided to guide interpretation, streamline clinical workflows, and reduce diagnostic error. PSG findings are also contextualized within broader systemic outcomes, such as their links to hypertension, dyslipidemia, insulin resistance, and cognitive decline. …”
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Effects of a Short-Term Soccer Training Intervention on Skill Course Performance in Youth Players: A Randomized Study by Arne Sørensen, Terje Dalen, Pål Lagestad

“…Furthermore, no significant differences in the development of track time, cone touches, or passing errors between the groups were detected. These findings suggest that soccer players aged 9 to 12 improve their performance in a skill course through increased familiarity with the course and natural development of technical skills based on participation in soccer training and recreational soccer play. …”
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