Integration of YOLOv9 Segmentation and Monocular Depth Estimation in Thermal Imaging for Prediction of Estrus in Sows Based on Pixel Intensity Analysis by Iyad Almadani, Aaron L. Robinson, Mohammed Abuhussein

“…This inconsistency hinders the detection of the subtle temperature differences required to distinguish between estrus and non-estrus states. …”
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The Efficiency of Complex Differential Treatment of the Patients with Systemic Lupus Erythematous Considering the Features of Bone Tissue Structure Remodeling by Abrahamovych U., Tsyhanyk L., Abrahamovych O., Farmaha M., Romaniuk O.

“…Systemic lupus erythematous (SLE) is an autoimmune disease with peculiar plural and pathological processes in different organs and systems including bone tissue. …”
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Study on water quality analysis and early-warning technology based on rough set and evidence theory by ZHU Qiong-yao, ZHANG Guang-xin, FENG Tian-heng, HUANG Ping-jie, HOU Di-bo

“…As it is known to all, there are lots of monitoring parameters in water quality detection, monitoring and information management system, and the evolution principles and changing trends of water quality are difficult to be obtained. …”
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Quantifying Uncertainties in Solar Wind Forecasting due to Incomplete Solar Magnetic Field Information by Stephan G. Heinemann, Jens Pomoell, Ronald M. Caplan, Mathew J. Owens, Shaela Jones, Lisa Upton, Bibhuti Kumar Jha, Charles N. Arge

“…Further comparison with the thermodynamic Magnetohydrodynamic Algorithm outside a Sphere model indicates that uncertainties in the different models can lead to even larger variations in solar wind forecasts compared to those within a single model. …”
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Characteristic, relationship and impact of thermokarst lakes and retrogressive thaw slumps over the Qinghai-Tibetan plateau by Wenwen Li, Denghua Yan, Yu Lou, Baisha Weng, Lin Zhu, Yuequn Lai, Yunzhe Wang

“…We further employed the eXtreme gradient boosting algorithm and ICESat-2 ATL08 laser altimetry data to quantify changes in water storage due to TLs. …”
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An analysis of spatial changes in the manufacturing industry in china’s three major urban clusters from 2015 to 2019 using POI data by Chenxi Jin, Chenjing Fan, Yiwen Gong, Xinran Huang, Shiqi Li, Runhan Liu, Chunwei Guo, Yuxin Liu

“…The evolution of the manufacturing industry at the scale of 451 districts and counties in the urban clusters and the factors driving new entrants in the manufacturing industry were studied. …”
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High-precision deformation monitoring and intelligent early warning for wellbore based on BDS/GNSS. by Jiang Li, Lei Dai, Keke Xu, Xinyu Mei, Yifu Liu, Jianlin Shi, Hebing Zhang

“…A quantitative analysis was conducted on the performance of various combinations of BDS/GNSS in wellbore deformation monitoring, and the effects of different baseline lengths on the monitoring results were evaluated. …”
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Fault Diagnosis of Rolling-Element Bearing Using Multiscale Pattern Gradient Spectrum Entropy Coupled with Laplacian Score by Xiaoan Yan, Ying Liu, Peng Ding, Minping Jia

“…Results confirm the availability of our proposed algorithm in feature extraction and show that our method can recognize effectively different bearing fault categories and severities. …”
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A location-constrained crowdsensing task allocation method for improving user satisfaction by Huihui Chen, Bin Guo, Zhiwen Yu, Liming Chen

“…For the purpose of emulating real scenarios, different scales of maps, tasks, and workers are simulated to evaluate algorithms. …”
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Watershed Health Prediction based on Surface Water Quality Variables (Case Study: Taleghan Watershed) by Payam Ebrahimi, Ali Salajegheh, Mohsen Mohseni Saravi, Arash Malekian, Amir Sadoddin

“…First, the variables that had the most effect on the model were determined and then the gene expression algorithm was created. In order to evaluate the generated model, three factors of determination coefficient, mean error of absolute and root mean square error were used. 3-Results and Discussion Using the obtained results, it was found that during investigated time, the use of normalized data provides different results than normal data. …”
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On the Impact of Labeled Sample Selection in Semisupervised Learning for Complex Visual Recognition Tasks by Eftychios Protopapadakis, Athanasios Voulodimos, Anastasios Doulamis

“…We propose and explore a variety of combinatory sampling approaches that are based on sparse representative instances selection (SMRS), OPTICS algorithm, k-means clustering algorithm, and random selection. …”
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Spectrum-Convertible BVWXC Placement in OFDM-Based Elastic Optical Networks by Mohammad Hadi, Mohammad Reza Pakravan

“…Finally, we use simulation results to evaluate the accuracy of the proposed method for calculating connection request blocking probability and the capability of the introduced algorithm for SCBVWXC placement.…”
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Application of convolutional neural networks in the intelligence security system subsystem by V. S. Demeshko, A. I. Фёдоров

“…The tasks of the intelligence subsystem for detecting and recognizing ground-based objects of observation in a complex phono-target environment are defined.The task of detecting an object of observation was solved on the basis of a previously proposed algorithm. The disadvantage of this algorithm was the presence of false positives from a flickering complex phono-target environment. …”
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Using S-Curve Transforms and Gamma Correction for MR Images Contrast Enhancement by Manar Al-Abaji, Zohair Al-Ameen

“…Moreover, it was compared with four different CE approaches and evaluated using three measures. …”
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Machine Learning Model for Construction Time Prediction: A Case of Selected Public Building Projects in Hosanna, Ethiopia by Demoze Wondimu Debero, Ephrem Girma Sinesilassie

“…A questionnaire survey is designed to collect data, and subsequently, the study was performed using the Python programming language for development and validation purposes with different libraries used. The study developed Bromilow’s time-cost model using a simple linear regression algorithm and Love et al.’s time-floor model using a multiple linear regression algorithm and proposed a parametric model using random forest, XGBoost, decision tree, K-nearest neighbor, and polynomial regression algorithms. …”
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Microwave Radar Sensing of Sea Waves: An Effective Reflection Coefficient by Karaev Vladimir, Panfilova Mariya Andreevna, Titchenko Yu., Meshkov Evgeniy Mihaylovich, Kovaldov Dmitry, Xiuzhong Li, Yijun He

“…SWIM data were used to evaluate the developed algorithm. Processing of the test data set confirmed the efficiency of the algorithm. …”
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Performance of 256QAM in LTE-Hi indoor scenario by Shan LIU, Cheng TAO, Liu LIU

“…In order to solve the traffic explosion of indoor and hotspots,LTE-Hi was put forward by 3GPP organization in Release12.Due to the coverage particularity of indoor and hotspots scenarios,the organization introduced 256QAM to improve system performance.According to the 256QAM constellation given in the standard,a soft demodulation algorithm based on border distance decision was deduced.Through a simulation of the UE SINR distribution in the LTE-Hi scenario,the feasibility of the 256QAM was proved and according to the CQI/MCS/TBS signaling table changed for 256QAM,link level simulation showed the 256QAM and 64QAM throughput in comparison under different EVM index.Finally,the system performance with and without the introduction of 256QAM under different scenarios was evaluated.…”
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Performance of 256QAM in LTE-Hi indoor scenario by Shan LIU, Cheng TAO, Liu LIU

“…In order to solve the traffic explosion of indoor and hotspots,LTE-Hi was put forward by 3GPP organization in Release12.Due to the coverage particularity of indoor and hotspots scenarios,the organization introduced 256QAM to improve system performance.According to the 256QAM constellation given in the standard,a soft demodulation algorithm based on border distance decision was deduced.Through a simulation of the UE SINR distribution in the LTE-Hi scenario,the feasibility of the 256QAM was proved and according to the CQI/MCS/TBS signaling table changed for 256QAM,link level simulation showed the 256QAM and 64QAM throughput in comparison under different EVM index.Finally,the system performance with and without the introduction of 256QAM under different scenarios was evaluated.…”
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The application of compressed sensing on tumor mutation burden calculation from overlapped pooling sequencing data by Yue Cui, Yi Qiao, Rongming An, Xuan Pan, Jing Tu

“…The performance of these two algorithms was evaluated. The BP algorithm consistently performed well across all cases, albeit necessitating extended computational time. …”
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IDEEA: information diffusion model for integrating gene expression and EEG data in identifying Alzheimer’s disease markers by Enes Ozelbas, Tuba Sevimoglu, Tamer Kahveci

“…We evaluated various aspects of our approach, including the genetic algorithm performance, band-pair association and gene interaction topology. …”
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