Mapping climate change induced forest fire susceptibility using tree-based machine learning algorithms in Bangladesh by Mafrid Haydar, Al Hossain Rafi, Md.Kamran Hasan Khan, Sakib Hosan, Halima Sadia

“…This study employs tree-based machine learning (ML) algorithms to assess Forest Fire Susceptibility in the Chittagong Hill Tracts (CHT) of Bangladesh under current and anticipated climate change scenarios. …”
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Identification of optimal biomarkers associated with distant metastasis in breast cancer using Boruta and Lasso machine learning algorithms by Jia-ning Qin, Wen-bin Dai, Wen-hai Zhang, Bin-jie Chen, Ling Liang, Chun-feng Liang, Chun-guo Lu, Qi-xing Tan, Chang-yuan Wei, Yang Tan, Fang Wu

“…The variables were initially screened using the Boruta algorithm, followed by further optimization through LASSO regression. …”
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Nanotechnology and LSTM machine learning algorithms in advanced fuel spray dynamics in CI engines with different bowl geometries by Harish Venu, Manzoore Elahi M. Soudagar, Tiong Sieh Kiong, N. M. Razali, Hua-Rong Wei, Armin Rajabi, V. Dhana Raju, T. M. Yunus Khan, Naif Almakayeel, Erdem Cuce, Huseyin Seker

“…Simultaneously, LSTM models are employed to analyze and predict the complex spray behavior under diverse operational and geometric conditions. …”
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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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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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Vehicle Collision Warning Based on Combination of the YOLO Algorithm and the Kalman Filter in the Driving Assistance System by Guihua Miao, Weihe Wang, Jinjun Tang, Fang Li, Yunyi Liang

“…This study applies the YOLO algorithm to detect the vehicle and uses the Kalman filter to track the vehicle. …”
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Efficient Sleep Scheduling Algorithm for Target Tracking in Double-Storage Energy Harvesting Sensor Networks by Hongbin Chen, Qian Zeng, Feng Zhao

“…At first, we modify the probability-based prediction and sleep scheduling (PPSS) algorithm to track the target and further use another sleep scheduling algorithm we proposed to wake tracking nodes when the target is likely to be missed (i.e., it is unsuccessful to wake next-moment tracking nodes). …”
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Application of quantum-inspired evolutionary algorithm in the analysis of near infrared diffuse transmission spectroscopy of apples by LI Jun-liang, WANG Cong-qing

“…Second, the variables were selected with QEA, and QEA-PLS model was built. Meanwhile, genetic algorithm (GA) -PLS model was developed to contrast with QEA-PLS model. …”
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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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Novel fruit fly algorithm for global optimisation and its application to short-term wind forecasting by Yang Chen, DeChang Pi

“…Simulation results show that SEDMFOA has better prediction effect than traditional algorithms.…”
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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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INFORMATIONAL AND ALGORITHMIC SUPPORT FOR DISTRIBUTION AND MARkETING LOGISTICS CONTROL SySTEMS OF PHARMACEUTICAL ENTERPRISES by A. V. Kostrov, V. F. Kornyushko, S. Kaybullaeva, O. M. Nikolaeva

“…Drug procurement management algorithms implemented with the help of ERP and based on the ABC/XYZ analysis methodology, algorithms and informational models for pharmaceutical companies’ logistic system of inventory management in warehouses are proposed. …”
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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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