Policy-Based Reinforcement Learning Approach in Imperfect Information Card Game by Kamil Chrustowski, Piotr Duch

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Neural mechanisms for the attention-mediated propagation of conceptual information in the human brain. by David Acunzo, Damiano Grignolio, Clayton Hickey

“…This network appears to play a key role in the attention-mediated translation of perceptual information to concepts, semantics, and action plans.…”
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Data-driven robust outpatient physician scheduling with medical visiting information by Qingyun He, Shuqun Shen, Zhiyu Lv, Shixin Yang

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Implementation Of A* Algorithm In A Great Elephant Game With Unity 2D by Ahmad Zuhdi, Imam Ahmad, Ade Dwi Putra

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Algorithms of the Method of Statically Admissible Discontinuous Stress Fields (SADSF) – Part II: The Algorithms for Solving Limit Stress Fields Around Isolated Nodes of Stress Disc... by W. Bodaszewski

“…Application version of the SADSF method is not described in this paper; however, a reference is given to inform the reader where it can be found. SUMMARY OF PART II: In the paper, the author introduces the sets of conditions that create the algorithms of the functions on which one defines the boundary problems met in the search for discontinuous limit fields existing around isolated nodes. …”
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Fast Multimodal Trajectory Prediction for Vehicles Based on Multimodal Information Fusion by Likun Ge, Shuting Wang, Guangqi Wang

“…Trajectory prediction plays a crucial role in level autonomous driving systems, as real-time and accurate trajectory predictions can significantly enhance the safety of autonomous vehicles and the robustness of the autonomous driving system. …”
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Disease Detection in Tomato Fruit Using Deep Learning Algorithms: Comparative Analysis by Fatma Feyza Akyol, Ayhan İstanbullu, Faruk Özel

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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

“…Some of the most commonly used machine learning algorithms for this issue are Logistic Regression, Gaussian Naive Bayes, Bernoulli Naive Bayes, Decision Tree, and Random Forest. …”
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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

“…Some of the most commonly used machine learning algorithms for this issue are Logistic Regression, Gaussian Naive Bayes, Bernoulli Naive Bayes, Decision Tree, and Random Forest. …”
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Forecasting household monthly electricity consumption using the similar pattern algorithm by Bistoon Hosseini

“…The similar pattern algorithm maximizes the use of information in the billing database and takes advantage of expert opinions, which play a crucial role in avoiding unusual forecasts. …”
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Chameleon swarm algorithm with Morlet wavelet mutation for superior optimization performance by Vipan Kusla, Gurbinder Singh Brar, Harpreet Kaur, Ramandeep Sandhu, Chander Prabha, Md. Mehedi Hassan, Shahab Abdulla, Md Rittique Alam, Samah Alshathri, Walid El-Shafai

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Estimating coffee crop parameters through multispectral imaging and machine learning algorithms by F. V. Pereira, V. S. W. Orlando, G. D. Martins, B. S. Vieira, E. S. Nascimento, A. B. Marra, M. D. L. B. T. Galo

“…In this regard, the application of methodologies involving remote sensing and machine learning algorithms has shown promising results in the rapid and safe acquisition of information about agricultural systems. …”
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A Refined and Efficient CNN Algorithm for Remote Sensing Object Detection by Bingqi Liu, Peijun Mo, Shengzhe Wang, Yuyong Cui, Zhongjian Wu

“…Remote sensing object detection (RSOD) plays a crucial role in resource utilization, geological disaster risk assessment and urban planning. …”
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Underwater object detection algorithm integrating image enhancement and deformable convolution by Lijia Guo, Xiangchun Liu, Dongsheng Ye, Xuebao He, Jianxin Xia, Wei Song

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Retrieval algorithm based on locally sensitive hash for ocean observation data by Meijuan Jia, Xiaodong Mao, Shuai Guo, Xin Li

“…At the same time, we proposed a bucket optimization strategy for retrieval algorithms based on locally sensitive hashing. We utilized visual information to address the bottleneck problem in duplicate data deletion technology. …”
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Effectiveness of AdaBoost and XGBoost Algorithms in Sentiment Analysis of Movie Reviews by I Gusti Ayu Nandia Lestari, Ni Made Rai Masita Dewi, Komang Gita Meiliana, I Komang Agus Ady Aryanto

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AQEA-QAS: An Adaptive Quantum Evolutionary Algorithm for Quantum Architecture Search by Yaochong Li, Jing Zhang, Rigui Zhou, Yi Qu, Ruiqing Xu

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Cluster Analysis Algorithm in the Analysis of College Students’ Mental Health Education by Wanting Zheng

“…The research and application of the integration algorithm plays an important role in the analysis of the mental health education system. …”
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A highly generalized federated learning algorithm for brain tumor segmentation by Jun Wen, Xiusheng Li, Xin Ye, Xiaoli Li, Hang Mao

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A study on the cabin indoor localization algorithm based on adaptive -values by Junbo Gao, Tao Fan, Zhenxiao Qin, Wei Sun

“…In order to improve the positioning accuracy, this article proposes an adaptive K -value-based cabin indoor positioning algorithm. The algorithm constructs a fingerprint library by collecting Received Signal Strength Indication data and carries out filtering; matches fingerprint information by adaptive K -values during the localization process, while using double K -nearest neighbor to reduce the influence of outlier points on the final localization; and finally uses the multi-point mass center method to determine the final localization results. …”
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