Implementation of Alpha-Beta Pruning and Transposition Tables on Checkers Game by Cristian C. Suancha, Marco J. Suarez, Felipe A. Besoain

“…This document outlines the creation of a checkers game, employing alpha-beta pruning as a search algorithm and transposition tables to enable the game to learn from past play sessions. …”
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Re-Parameterization After Pruning: Lightweight Algorithm Based on UAV Remote Sensing Target Detection by Yang Yang, Pinde Song, Yongchao Wang, Lijia Cao

“…In addition, the focal and efficient intersection over union (FocalEIoU) is used to improve the regression performance of the algorithm and reduce the false-negative rate. Furthermore, the entire model is pruned using the convolution kernel pruning method. …”
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Automated Pruning Framework for Large Language Models Using Combinatorial Optimization by Patcharapol Ratsapa, Kundjanasith Thonglek, Chantana Chantrapornchai, Kohei Ichikawa

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Software implementation of the system for learning to write Chinese characters by N. V. Gubanov

“…Each of the writing features is an integral part of learning a language, since it can not only completely change the meaning of the written hieroglyph, but also help the learner to memorize the hieroglyph in a structured way, giving him a clear structure and algorithm of actions for writing the hieroglyph. …”
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Dangerous attack paths analysis for power networks based on adaptive limited depth search and improved Z-score pruning by Mu Chen, Yong Li, Nige Li, Yinan Zhong, Guangxin Guo

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Short-term load estimation based on improved DBN-LSTM by Nan Dong, Yuwen Wu, Buyun Su, Zhanzhi Liu

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Robots Learn Writing by Huan Tan, Qian Du, Na Wu

“…This paper proposes a general method for robots to learn motions and corresponding semantic knowledge simultaneously. A modified ISOMAP algorithm is used to convert the sampled 6D vectors of joint angles into 2D trajectories, and the required movements for writing numbers are learned from this modified ISOMAP-based model. …”
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SEAP: squeeze-and-excitation attention guided pruning for lightweight steganalysis networks by Qiushi Li, Shenghai Luo, Shunquan Tan, Zhenjun Li

“…Abstract In recent years, the increasing computational and storage demands of deep steganalysis models have drawn attention to lightweight architectures. While pruning algorithms for image steganalysis networks have been proposed, they often do not apply to networks equipped with mobile inverted bottleneck (MBConv) structures, such as EfficientNet. …”
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Design and Experimental Testing of Holly Pruning Machine with Adaptive Adjustment Tool by Xiuhao Yu, Chengming Hou, Liqi Qiu, Xuesong Li, Penghui Yao, Ying Zhao

“…To improve the efficiency of holly pruning, effectively solve the labor intensity of manual handheld pruning machines, and the frequent replacement of tools when pruning different shapes of hollies, this study designed a pruning machine with adaptive tool adjustment. …”
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Ensemble learning with RAG model to reduce redundant question topics in auto-generated exam questions by R. Tharaniya Sairaj, S. R. Balasundaram

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Lightweight grading segmentation network for powdery mildew based on model pruning and knowledge distillation by Yuheng Li, Lisha Ye, Yu Zhang, Lijuan Zhou, Qian Chen

“…Finally, we propose an automatic grading algorithm based on the segmentation masks to provide actionable disease severity levels. …”
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Hybrid Ensemble Pruning Using Coevolution Binary Glowworm Swarm Optimization and Reduce-Error by Xuhui Zhu, Zhiwei Ni, Pingfan Xia, Liping Ni

“…It is hard to look for the exact result via the searching of intelligent algorithms or pruning of diversity measures. On the basis, we propose a hybrid ensemble pruning approach employing coevolution binary glowworm swarm optimization and reduce-error (HEPCBR). …”
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Novel channel attention-based filter pruning methods for low-complexity semantic segmentation models by Md. Bipul Hossain, Na Gong, Mohamed Shaban

“…Until recently, few methods have been introduced for optimizing or pruning of the parameters of the semantic segmentation models. …”
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Towards Robust Speech Models: Mitigating Backdoor Attacks via Audio Signal Enhancement and Fine-Pruning Techniques by Heyan Sun, Qi Zhong, Minfeng Qi, Uno Fang, Guoyi Shi, Sanshuai Cui

“…Second, we apply an adaptive fine-pruning algorithm to selectively deactivate malicious neurons while preserving the model’s linguistic capabilities. …”
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Unveiling optimal SDG pathways: an innovative automated recommendation approach integrating graph pruning, intent graph, and attention mechanism by Qiang Wang, Zhihang Yu, Shu Wang, Yunqiang Zhu, Xiaoliang Dai, Zhiqiang Zou, Weiming Huang, Christophe Claramunt

“…However, traditional recommendation algorithms struggle with two key challenges: spatial heterogeneity and sparse historical interaction records between regions and SDPs. …”
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Remaining Useful Life Prediction Method for Bearings Based on Pruned Exact Linear Time State Segmentation and Time–Frequency Diagram by Xu Wei, Jingjing Fan, Huahua Wang, Lulu Cai

“…To improve the accuracy and robustness of bearing remaining useful life (RUL) prediction, this paper proposes a bearing RUL prediction method based on PELT state segmentation and time–frequency analysis, incorporating the Informer model for time-series modeling. First, the PELT (Pruned Exact Linear Time) algorithm is used to segment the vibration signals over the full life cycle of the bearing, accurately identifying critical degradation states and optimizing the stage division of the degradation process. …”
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An effective and efficient hierarchical -means clustering algorithm by Jianpeng Qi, Yanwei Yu, Lihong Wang, Jinglei Liu, Yingjie Wang

“…Experiments performed on real UCI and synthetic datasets verify the efficiency and effectiveness of our proposed algorithm.…”
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An efficient method for mining frequent weighted subgraphs based on weighted edges by Lam B. Q. Nguyen, Nhan H. Vo, Nhung N. Chau, Bay Vo

“…In this paper, we introduce two new contributions to further improve the OWGraMi algorithm: calculating weights for subgraphs based on their edge weights, and using these edge weights to prune the search space to increase the performance of the new weighted graph mining algorithm, named WEGM (Weighted Edge GraMi). …”
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Detection of Critical Parts of River Crab Based on Lightweight YOLOv7-SPSD by Guoai Fang, Yu Zhao

“…Furthermore, we optimize the model by removing redundant parameters using the DepGraph pruning algorithm, which facilitates its application on edge devices. …”
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Magnetic Coil’s Performance Optimization with Nonsmooth Search Algorithms by Igor Reznichenko, Primož Podržaj, Aljoša Peperko

“…Numerical tests using non-gradient search algorithms show the difference in optimal designs provided by these methods. …”
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