Carboxypeptidase Q(CPQ) promotes glioma progression by inducing M2 macrophage polarization and immunosuppression by Zhihao Qi, Rui Hu, Moyang Qi, JianDong Zuo

“…The GSEA algorithm was utilized to analyze signal pathways between CPQ high- and low-expressing groups. …”
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Wavelet Transform-Based 3D Landscape Design and Optimization for Digital Cities by Yang Chen, Xiaolin Wang, Chang Zhang

“…The algorithm extracts mixed feature information of local long path and local short path based on the information retention module, and decomposes the information by combining wavelet transform, inputs the different components obtained from the decomposition into the network for training, and removes the noise by subsequent feature screening of the network structure. …”
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Electric Bus Charging Schedules Relying on Real Data-Driven Targets Based on Hierarchical Deep Reinforcement Learning by Jiaju Qi, Lei Lei, Thorsteinn Jonsson, Lajos Hanzo

“…Numerical experiments are performed with the aid of real-world data to evaluate the performance of the proposed algorithm.…”
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Intelligence artificielle et fact-checking en Afrique : entre logiques de dépendance et limites de l’automatisation by Sokhna-Fatou SECK-SARR

“…It appears that the African context provides a different perspective with structural constraints and "cultural" algorithmic biases.…”
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A feasibility study of ballet education using measurement and analysis on partial features of still scenes by So-Hyun Park, Gwang-Soo Hong, Sun-Woo Park, Aziz Nasridinov, In-Ja Park, Byung-Kyu Kim, Young-Ho Park

“…We propose the use of a lower body joint point estimation algorithm and a closest foot points estimation algorithm that can efficiently perform image localization for recognition of basic ballet movements. …”
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Perbandingan Random Forest dan Convolutional Neural Network dalam Memprediksi Peralihan Pelanggan by Dewa Adji Kusuma, Atika Ratna Dewi, Andreas Rony Wijaya

“…The limitation of this research is how to handle the two algorithms being compared. Both use different approaches, namely Supervised Learning and Deep Learning. …”
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A Combination of Two Conjugate Gradient Methods Under A New Line Search with its Application in Image Restoration Problems by Maiza Asma, Ziadi Raouf, Saleh Mohammed A., Almaymuni Abdulgader Z.

“…Furthermore, the proposed algorithm is applied for restoring images with different noise levels.…”
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Unbiased High-Precision Cloud Detection for Advanced Himawari Imager Using Automatic Machine Learning by Bochun Liu, Jinming Ge, Qingyu Mu, Chi Zhang, Xiaoyu Hu, Jiajing Du, Yanyan Wu, Bo Wang, Xiang Li, Jianping Huang, Qiang Fu

“…Our results indicate that cloud detection algorithms constructed separately for different surfaces yield better results than those applied uniformly across the entire region by inputting surface feather. …”
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Exploration of the shared gene signatures and molecular mechanisms between cardioembolic stroke and ischemic stroke by Xuan Wang, Xuan Wang, Xueyuan Liu, Xueyuan Liu

“…Three machine learning algorithms were employed to detect biomarkers from the core shared genes, and the diagnostic value of the hub genes was evaluated by establishing a predictive nomogram. …”
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A practical vehicle routing problem in small and medium cities for fuel consumption minimization by Yong-Jin Pak, Kyong-Ho Mun

“…For large-scale instances, we proposed a heuristic algorithm based on the variable neighborhood search and evaluated its performance. …”
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On the Accuracy of RAS Method in an Emergent Economy by Emilian Dobrescu, Viorel Gaftea

“…The first discusses several methodological issues of this algorithm. It also evaluates the differences between matrices aij and raij, involving both categories of accuracy measures - either the “cell-by-cell” comparison or the aggregated indicators. …”
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Robustness of Auditory Teager Energy Cepstrum Coefficients for Classification of Pathological and Normal Voices in Noisy Environments by Lotfi Salhi, Adnane Cherif

“…This paper focuses on a robust feature extraction algorithm for automatic classification of pathological and normal voices in noisy environments. …”
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Quantifying the impact of external and internal factors and their interactions on thermal load behaviour of a building by Christoph Matschi, Isabell Nemeth

“…To determine the strength of the influence of the individual parameters on the building heating load, to check whether the influence of the parameters is constant or varies over the year and whether parameters are missing here, the results of the parameter study are evaluated statistically. First results show promising results in the detection of the significant parameters, for the creation of a model based on a machine learning algorithm, and the possibility of quantifying their impact on building heating load behaviour.…”
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Impact of Network Configuration on Hydraulic Constraints and Cost in the Optimization of Water Distribution Networks by Mojtaba Nedaei

“…Several key parameters and criteria are considered to achieve an efficient design. Additionally, different network layouts are evaluated, including looped and non-looped systems with varying numbers of reservoirs. …”
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Prognosis of unfavorable course of ulcerative colitis as indication for anticytokine therapy by A. Yu. Baranovsky, E. A. Kondrashina, A. G. Kharitonov

“…Prognostic system for various variants of course of UC and its complications, 27 most significant clinical signs of disease based on differentiated clinical and statistical evaluation was submitted. …”
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MANAGEMENT OF PATIENTS WITH CERVICAL INSUFFICIENCY by S. A. Levakov, E. I. Borovkova, N. A. Sheshukova, I. M. Borovkov

“…In identifying ICN after 24 weeks, the method of choice is the appointment of micronized progesterone and the installation of an unloading obstetric pessary. The use of a differentiated algorithm of management of patients with ICN reduces the chance of unexpected premature birth and neonatal morbidity and mortality.…”
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Resolving Contrast and Detail Trade-Offs in Image Processing with Multi-Objective Optimization by Daniel Molina-Pérez, Alam Gabriel Rojas-López

“…This highlights the method’s effectiveness across different types and enhancement requirements and emphasizes the importance of the proposed preferences in different contexts.…”
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Dataset of apples for grading by sweetness, ripeness and varietyMendeley Data by Shilpa Gaikwad, Sonali Kothari, Ignisha Rajathi G

“…This dataset of ours can be used by researchers to develop and test algorithms to classify apples and estimate their ripeness and the presence of diseases. …”
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Estimation of the Time of Occurrence of the Maximum Electrical Demand by Selecting the Optimal Classification Model and Making Use of Unbalanced Data by César Aristóteles Yajure, Valesca M. Fuenzalida Sánchez

“… Studies on electricity demand forecasting usually focus on the magnitude of the variable, however, the methodology used in this study also addresses the time at which the peak demand occurs, crucial for planning energy generation, smoothing the demand peaks and establishing differentiated rates. To predict the time of maximum demand, supervised machine learning algorithms were used: random forests, K nearest neighbors, support vector machine, and logistic regression. …”
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A TMR Sensor Array for Non-Invasive Current Measurement in Three-Phase Cable and Error Analysis by Ruixi Luo, Hui He, Qiang Shi, Junyi Cai, Ziyang Ye, Xiang Zhang

“…The current reconstruction method was introduced by minimizing the difference between the measured and calculated magnetic flux density using a stochastic optimization algorithm. …”
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