An Evaluation on Investment of Research Funds with a Neural Network Algorithm in “Double First-Class” Universities by Jihong Sun, Yahui Li, Xiaoyun Zhao, Nanxing Zhang

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Balancing comfort and conservation: dynamic programming algorithm for appliance scheduling in residential demand-side management by Maria Ashraf, Maryam Arshad, Sajjad Haider Zaidi, Kiran Shaukat

“…Empirical results from weekday and weekend situations exhibit huge reductions in PAR—over 32% on weekdays and 46% on weekends—along with improved energy efficiency and cost savings. …”
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Multi-Link Fragmentation-Aware Deep Reinforcement Learning RSA Algorithm in Elastic Optical Network by Jing Jiang, Yushu Su, Jingchi Cheng, Tao Shang

“…Simulation results show that MFDRL-RSA achieves lower blocking rates compared to the reference algorithms, with reductions of 16.34%, 13.01%, and 7.42% in the NSFNET network and 19.33%, 15.17%, and 9.95% in the Cost-239 network. …”
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Acute Infarct Core Volume Estimation on Noncontrast Computed Tomography With a Deep Learning Algorithm by Santiago Ortega‐Gutierrez, Juan Vivanco‐Suarez, Aaron Rodriguez‐Calienes, Victor Salvia, Milagros Galecio‐Castillo, Mahmoud Dibas, Yujing Lu, Alba Garcia Rey, Cristian Marti, Leonardo Tanzi, Maria Hernandez‐Perez, Tudor Jovin, Marc Ribo

“…The objectives of this article are (1) to develop, train, and internally validate a deep learning algorithm that estimates baseline infarct core volume (ICV) on NCCT in anterior circulation LVO patients, and (2) by using an external set, to ascertain how this algorithm's (aICV‐NCCT) predictive performance compares with Alberta Stroke Program Early Computed Tomography Score‐NCCT and ICV‐CT perfusion in its capacity to estimate the final infarct volume established on diffusion‐weighted magnetic resonance imaging at 24‐ to 48‐hour follow‐up. …”
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Design of an evolutionary model for international trade settlement based on genetic algorithm and fuzzy neural network. by Jiaqing Huang, Yang Liu, Miaomiao Tu, Osama Sohaib

“…The objective is to improve the classification of bank-related risks by integrating the adaptability of fuzzy logic with the global optimization capability of genetic algorithms. The GA is used to fine-tune the structure, membership functions, and parameters of the FNN to improve predictive performance. …”
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Modeling and Simulation of English Speech Rationality Optimization Recognition Based on Improved Particle Filter Algorithm by Hui Dong

“…Based on the standard particle filtering algorithm, an improved auxiliary traceless particle filtering algorithm is proposed. …”
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Refrigerant Circuitry Optimization for Heat Pump Finned-tube Evaporators with Integer Gradient Descent Algorithm by Zhang Hao, Hou Zefei, Li Xingdang, Fan Chaochao, Yan Gang, Chu Wenxiao, Wang Qiuwang

“…The evaporator entropy generation based on simulation results proved an effective parameter for predicting system COP variation trends. Subsequently, evaporator entropy generation was selected as the cost function, and an integer gradient descent algorithm was applied to minimize the evaporator entropy generation. …”
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Improved genetic algorithm based on greedy and simulated annealing ideas for vascular robot ordering strategy. by Zixi Wang, Yubo Huang, Yukai Zhang, Yifei Sheng, Xin Lai, Peng Lu

“…Additionally, ARIMA time series forecasting predicts the demand for vascular robots, further enhancing the adaptability of our strategy. …”
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Shear Strength Determination in RC Beams Using ANN Trained with Tabu Search Training Algorithm by Alireza Shahbazian, Hamidreza Rabiefar, Babak Aminnejad

“…To this end, 248 experimental results were collected from the literature, and a feed-forward ANN model was employed to predict the shear strength. To assess its feasibility, the ANNs were also modeled using the Particle Swarm Optimization, and Imperialist Competitive Algorithms. …”
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Developing genetic algorithm-based neural networks and sensitivity analysis for thermal conductivity of natural gases by R. Beigzadeh, R. Ozairy

“…The genetic algorithm method was used to obtain global optimum parameters (weights and biases) of the ANNs. …”
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QSAR modeling of antimalarial activity of urea derivatives using genetic algorithm–multiple linear regressions by Abolghasem Beheshti, Eslam Pourbasheer, Mehdi Nekoei, Saadat Vahdani

“…Results showed that the predictive ability of the model was satisfactory, and it can be used for designing similar group of antimalarial compounds.…”
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Vehicular cache nodes selection algorithm under load constraint in C-V2X by Zhexin XU, Kaimeng GAO, Wenkang JIA, Yi WU

“…In order to solve the problem that the C-V2X vehicle topology in urban environment was highly dynamic and the load capacity of vehicle nodes was limited, and improve the utilization of vehicular cache resources and reduce the load of base station, a vehicle cache nodes selection algorithm under load constraints was proposed.Firstly, by defining the link stability metric, the predicted weight adjacency matrix was constructed to describe the vehicular micro-topology in essence.Next, the objective function was further constructed under the load constraints and non-overlapping coverage constraint, which maximized the average link weight of the clusters by using the least cache nodes.Finally, the greedy concept was then introduced and the node states were reasonably defined.As a result, the minimum dominating set of the vehicle topology was figured out under the load constraints.Besides, the serviced neighbor nodes were then determined preferentially.The simulation results show that the proposed algorithm is close to the global optimal results in terms of the number of cache nodes and the average weight of cluster links.Moreover, the repeated response ratio of the proposed algorithm is always zero while the request response ratio can achieve the theoretical upper bound.Furthermore, the response times of cache resources can be also effectively improved.…”
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An analytical pressure-velocity fusion algorithm-empowered flexible sensing patch for flight parameter detection by Yunfan Li, Zihao Dong, Zheng Gong, Zhiqiang Ma, Xin Ke, Tianyu Sheng, Xiaochang Yang, Xilun Ding, Yonggang Jiang

“…The high-resolution flexible sensors and novel analytical pressure-velocity fusion algorithm pave the way for flexible sensing patch-based air data sensing techniques.…”
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PACT-3D, a deep learning algorithm for pneumoperitoneum detection in abdominal CT scans by I-Min Chiu, Teng-Yi Huang, David Ouyang, Wei-Che Lin, Yi-Ju Pan, Chia-Yin Lu, Kuei-Hong Kuo

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Vertical Handover Decision Algorithm Using Ants’ Colonies for 4G Heterogeneous Wireless Networks by Imad El Fachtali, Rachid Saadane, Mohammed ElKoutbi

“…The concept is based on QoS aware ant colony built on the vertical handoff mechanism that uses an updated version of ants’ colony optimization decision algorithm (ACOR), the dynamic and static factors such as RSS, the cost of service, bandwidth, the velocity of MT, the power consumption and security, and the module for predicting the traveling distance within an IEEE 802.11 WLAN cell. …”
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Machine Learning Algorithm for Assessing Photovoltaic Panels Partial Shading Losses based on Inverter Data by Armando Luís Sousa Araujo, Tiago Francisco Pires

“…The predicted power is calculated using the measured panel irradiance, current, and voltage using a photovoltaic panel electric circuit model. …”
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Live Multiattribute Data Mining and Penalty Decision-Making in Basketball Games Based on the Apriori Algorithm by Jian Zeng, Bao Jia

“…Again, the decision tree algorithm is used to select the significant features that affect winning and to make predictions of team performance. …”
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Optimization of the Hybrid Movie Recommendation System Based on Weighted Classification and User Collaborative Filtering Algorithm by Zhenning Yuan, Jong Han Lee, Sai Zhang

“…Finally, the collaborative filtering algorithm is used to predict the scores for the unrated items of the target user to form a recommendation list. …”
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Dynamic Analysis and Efficient Numerical Algorithm for Rocking Response of Freestanding Packages Under Transportation Excitations by Zhenmin Qi, Dapeng Zhu

“…Experimental validation under sinusoidal and numerical analysis with random excitations confirms the algorithm’s effectiveness in predicting rocking behavior. …”
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Mitigating Algorithmic Bias Through Probability Calibration: A Case Study on Lead Generation Data by Miroslav Nikolić, Danilo Nikolić, Miroslav Stefanović, Sara Koprivica, Darko Stefanović

“…The findings suggest that post hoc calibration can effectively reduce the influence of sensitive features on predictions by improving fairness without compromising overall classification performance. …”
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