Vertiport Infrastructure Location Optimization for Equitable Access to Urban Air Mobility by Vasileios Volakakis, Hani S. Mahmassani

“…To evaluate and compare the introduced methodology, different existing facility location problems (FLPs) were considered and solved exactly using integer and linear programming. …”
Get full text

Intelligent Layout and Optimization of EV Charging Stations: Initial Configuration via Enhanced K-Means and Subsequent Refinement through Integrated GCN by H. Yang, M. Liu, J. Zou, R. Xu, J. Huang, P. Geng

“…Additionally, sensitivity analysis and ablation experiments based on Points of Interest (POI) data are conducted to evaluate the impact of various POI features on the layout of charging stations and to explore the contribution of different model components to classification performance.…”
Get full text

Computed tomography-based radiomics predicts prognostic and treatment-related levels of immune infiltration in the immune microenvironment of clear cell renal cell carcinoma by Shiyan Song, Wenfei Ge, Xiaochen Qi, Xiangyu Che, Qifei Wang, Guangzhen Wu

“…Results The high/low subtypes of immune infiltration levels obtained by optimisation based on the Boruta algorithm were statistically different in the survival analysis of ccRCC patients. …”
Get full text

Recovering NDVI over lake surfaces: Initial insights from CYGNSS data enhanced by ERA-5 inputs by Yinqing Zhen, Qingyun Yan

“…Meanwhile, the Weighted Linear Regression-Laplacian Prior Regulation Method (WLR-LPRM) image gap-filling algorithm is used as a benchmark to evaluate recovery accuracy. …”
Get full text

Machine Learning-Driven Acoustic Feature Classification and Pronunciation Assessment for Mandarin Learners by Gulnur Arkin, Tangnur Abdukelim, Hankiz Yilahun, Askar Hamdulla

“…This study confirms the effectiveness of objective assessment methods based on formant analysis in speech acquisition research, provides a theoretical basis for algorithm optimization in speech evaluation systems, and holds significant application value for the development of Computer-Assisted Language Learning (CALL) systems and the improvement of multi-ethnic Mandarin speech recognition technology.…”
Get full text

Personalised Affective Classification Through Enhanced EEG Signal Analysis by Joseph Barrowclough, Nonso Nnamoko, Ioannis Korkontzelos

“…This overlooks individual differences and may not accurately capture the unique emotional patterns of each person.Methods This study explored the performance of six machine learning algorithms in classifying a benchmark EEG dataset (collected with a MUSE device) for affective research. …”
Get full text

Aspect-Based Sentiment Analysis for Afaan Oromoo Movie Reviews Using Machine Learning Techniques by Obsa Gelchu Horsa, Kula Kekeba Tune

“…To improve the optimal performance evaluation parameters, different hyperparameter tuning settings were applied. …”
Get full text

Reduced-Reference Image Quality Assessment based on saliency region extraction by Farzin Yaghmaee, Ehsanhosein Kalatehjari

“…As the human visual system is sensitive to the salient region, evaluating the image quality based on the salient region could increase the accuracy of the algorithm. …”
Get full text

Optimization based tumor classification from microarray gene expression data. by Onur Dagliyan, Fadime Uney-Yuksektepe, I Halil Kavakli, Metin Turkay

“…These algorithms usually require parameter optimization to obtain accurate results depending on the type of data. …”
Get full text

Automatic Filtering of Sugarcane Yield Data by Eudocio Rafael Otavio da Silva, José Paulo Molin, Marcelo Chan Fu Wei, Ricardo Canal Filho

“…A three-step automated filtering algorithm based on a sliding window was developed and further evaluated with four configurations of the maximum variation factor <i>f</i> and six SW sizes. …”
Get full text

A lightweight spatiotemporal classification framework for tree species with entropy-based change resistance filter using satellite imagery by Biao Zhang, Zhichao Wang, Boyi Liang, Liguo Dong, Zebang Feng, Mingyang He, Zhongke Feng

“…To improve the stability and accuracy of the classification results, this study proposes a lightweight spatiotemporal classification framework, with the core algorithm being the Spatiotemporal Entropy-based Change Resistance Filter (STECR-F) algorithm. …”
Get full text

Development of Experimental Setup to Investigate the Control System for Infusion Solutions Dosing Process by Fedir Matiko, Volodymyr Shaleva

“…The results of research confirmed that using CPU 1215C DC/DC/DC controller, it is possible to achieve the same speed and productivity of the dosing line as when using control systems based on single-chip processors, while significantly expanding the functional capabilities of the system. The algorithm for controlling the process of dosing the infusion solutions was also improved in order to adapt it to controlling the process of dosing the solutions of different viscosities into bottles of different capacities. …”
Get full text

Research trends and prospects in global riverine carbon fluxes: A bibliometric analysis by Wei Fang, Mohd Remy Rozainy Mohd Arif Zainol, Xianbao Zha, Pingping Luo

“…Future research should further investigate the index quantification, scaling algorithms, and modeling framework of RCFs. This study contributes to holistically understanding the evolution and prevailing trends in the field of RCFs, and better constraining the carbon budgets at the regional or global scales.…”
Get full text

Problem-Oriented Foundations of Intelligence in the Context of Superintelligence by Mark Burgin

“…This model is constructed using mathematical theories and algorithmic reasoning. The suggested approach allows the reorganizing of the existing typologies of intelligence developed in works of different psychologists, providing better theoretical tools for intelligence measurement and evaluation.…”
Get full text

An Indoor Scene Classification Method for Service Robot Based on CNN Feature by Shaopeng Liu, Guohui Tian

“…The experiment results showed that our method was superior to other scene classification methods in terms of accuracy, speed, and robustness. To further evaluate our method, test experiments on unknown scene images from SUN 397 dataset had been done, and the models based on different training datasets obtained 94.34% and 79.80% test accuracy severally, which proved that the proposed method owned good performance in indoor scene classification.…”
Get full text

Water distribution from medium-size sprinkler in solid set sprinkler systems by Giuliani do Prado

“…The sixteen water distribution curves were normalized and subjected to clustering analysis (K-Means algorithm), identifying the occurrence of normalized distribution curves with three different geometric shapes. …”
Get full text

Vascular anomalies in childhood. Review and update by Juan Carlos López Gutiérrez, Jesús Pozo Losada, Manuel Gómez Tellado

“…They are completely different diseases, although they are often grouped under the umbrella term of vascular anomalies.The diagnostic algorithm used in the clinical evaluation of vascular anomalies should be based on a thorough history-taking and detailed physical examination.Future knowledge in this field will be based above all on genetic findings and therapeutic innovations. …”
Get full text

Coaching as a Tool for the Development Team by M. V. Savelyeva

“…In the first case, the specificity is due to differences between the team and the group. In the second case, we are talking about differences in the algorithm of conducting a coach session, the use of specific tools, the role of specialists in working with the team, the duration of interaction with it, the required level of trust and the ratio of the planned and achieved results. …”
Get full text

A Reinforcement Learning-Based Double Layer Controller for Mobile Robot in Human-Shared Environments by Jian Mi, Jianwen Liu, Yue Xu, Zhongjie Long, Jun Wang, Wei Xu, Tao Ji

“…We verify the proposed double layer algorithm under different configurations and evaluate its performance based on several metrics, including task success rate, reward, etc. …”
Get full text

iSentenizer-μ: Multilingual Sentence Boundary Detection Model by Derek F. Wong, Lidia S. Chao, Xiaodong Zeng

“…The system has been extensively evaluated on different languages and text genres and has been compared against two state-of-the-art SBD systems, Punkt and MaxEnt. …”
Get full text