Adaptive Step RRT*-Based Method for Path Planning of Tea-Picking Robotic Arm by Xin Li, Jingwen Yang, Xin Wang, Leiyang Fu, Shaowen Li

“…The Adaptive Step RRT* (AS-RRT*) path planning algorithm for tea-picking robotic arms was proposed as a solution to the autonomy, safety, and efficiency problems inherent to tea-picking robots in tea plantations. …”
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Weak form shallow ice approximation models with an improved time-step restriction by Igor Tominec, Josefin Ahlkrona

“…When that velocity field is used to advance the ice surface in time, the time steps have to take small values due to quadratic scaling in the horizontal mesh size. In this paper, we write the SIA model in weak form and add in the free-surface stabilization algorithm (FSSA) terms. …”
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ABF-RRT*: Bidirectional fast optimal rapidly-exploring random tree via adaptive sampling of a permissible hyper-ellipsoid by Zhaoyang Zeng, Yufang Chang

“…The improved bidirectional planner combines the bisection optimization process, significantly improves the topological structure of the random tree, and accelerates the convergence to the optimal path solution. Since the algorithm relies on the tree expansion framework, it is compatible with various samplers and graph pruning strategies. …”
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The Referenced Vertex Ordering Problem: Theory, Applications, and Solution Methods by Omer, Jérémy, Mucherino, Antonio

“…We then discuss how upper and lower bounds can be computed during the enumeration to design a branch-and-bound algorithm. Finally, we validate our branch-and-bound algorithm by conducting a large set of computational experiments on instances coming from various real-life applications. …”
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Discussing the Construction of a Budget Management System Combining Multimedia Technology and Financial Risk Management by Xiaoyi Jiang

“…From the whole process of data mining, a data mining system is designed, which is “data preprocessing standardization + genetic algorithm feature selection + training set pruning + support vector machine classifier discrimination optimization.” …”
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Group k- Nearest Neighbor Query Method for Uncertainty Data in Obstructed Spaces by WAN Jing, TANG Bei-bei, SUN Jian, HE Yun-bin, LI Song

“…To deal with the problem of group k nearest neighbor query method for uncertainty data in obstructed spaces, this paper presents the method of the PkOGNN（probabilistic k obstructed group nearest neighbor）query .The PkOGNN query method mainly includes four sub-algorithms: Compadist_o()，SpatialPru()，PruInterEnt() and PkOGNN(), These algorithms are respectively the calculation of the aggregate obstructed distance, the spatial pruning method, the pruning of the R-tree intermediate items according to the spatial pruning method, the final refined query method. …”
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Research on Automatic Test Case Generation Technology Based on Finite State Machines and Function Block Diagrams by LI Ning, XIONG Yan, DING Yaoguo

“…Following the modeling based on finite state machines and function block diagrams, this study explored a transformation algorithm that converts function block diagrams into finite state machines and an automatic test case generation algorithm. …”
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I-YOLOv11n: A Lightweight and Efficient Small Target Detection Framework for UAV Aerial Images by Yukai Ma, Caiping Xi, Ting Ma, Han Sun, Huiyang Lu, Xiang Xu, Chen Xu

“…However, existing detection algorithms still have weak small target representation ability, extensive computational resource overhead, and poor deployment adaptability. …”
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Complex Network Analytics for Structural–Functional Decoding of Neural Networks by Jiarui Zhang, Dongxiao Zhang, Hu Lou, Yueer Li, Taijiao Du, Yinjun Gao

“…To overcome limitations of heuristic compression techniques, we develop a topology-sensitive adaptive pruning algorithm that evaluates critical paths via node strength centrality, preserving structural–functional integrity. …”
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REVIEW OF: GOLUBKOVA O.N. FUNDAMENTALS OF SCIENTIFIC RESEARCH IN THE PROFESSIONAL FIELD: TEXTBOOK by A.A. Bilyalova, A.N. Utekhina

“…The research methodology course enhances students’ research skills and intensifies their final qualifying paper writing by deepening their understanding of methodological principles. …”
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Optimisation Techniques for Compact CNN on Embedded Systems for Gesture Recognition by João Carlos Bittencourt, Walber Conceição de Jesus Rocha

“…Finally, we demonstrate that pruning reduced the model size by 90%, enabling it to perform gesture recognition on small devices. …”
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CLINICAL STUDY REPORT: AN OVERVIEW OF REGULATORY DOCUMENTS AND THE ORGANIZATIONAL AND PRACTICAL ASPECTS OF DEVELOPMENT by E. A. Radkova, I. N. Petrova, K. A. Leus, I. A. Dobromyslov

“…This article provides an overview of the current Russian and international regulatory documents and recommendations of professional organizations on the content and structure of the clinical study report, and describes an example of an algorithm for preparing the report from the earliest stages (data processing) to writing the final report with interpretation of study results.…”
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MEL-YOLO: A Novel YOLO Network With Multi-Scale, Effective, and Lightweight Methods for Small Object Detection in Aerial Images by Yang Yang, Fangtao Feng, Guisuo Liu, Juxing Di

“…Furthermore, we explore the Soft-NMS algorithm to effectively mitigate small object occlusion and reduce missed detection. …”
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YOLO-Ginseng: a detection method for ginseng fruit in natural agricultural environment by Zhedong Xie, Zhuang Yang, Chao Li, Zhen Zhang, Jiazhuo Jiang, Hongyu Guo

“…This addresses the detection challenges caused by occlusion or overlapping of ginseng fruits, significantly reducing the overall missed detection rate and improving the long-distance detection performance of ginseng fruits; Secondly, in order to maintain the balance between YOLO-Ginseng detection precision and speed, this study employs a mature channel pruning algorithm to compress the model.ResultsThe experimental results demonstrate that the compressed YOLO-Ginseng achieves an average precision of 95.6%, which is a 2.4% improvement compared to YOLOv5s and only a 0.2% decrease compared to the uncompressed version. …”
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Asset Valuation Concept by N. V. Tkachuk

“…An algorithm for generating a balance sheet corresponding to the static balance theory and a report on the financial results of the organization’s activities corresponding to the dynamic balance theory is presented. …”
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A Novel Approach for Efficient Detection of Lotus Seedpod Maturity Using Compressed Models by Tao Tang, Min Jin, Gaohong Yu, Rui Feng, Bingliang Ye

“…To simplify the model and improve detection speed, a channel pruning algorithm was utilized for model compression. …”
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Using reinforcement learning in genome assembly: in-depth analysis of a Q-learning assembler by Kleber Padovani, Rafael Cabral Borges, Roberto Xavier, André Carlos Carvalho, Anna Reali, Annie Chateau, Ronnie Alves, Ronnie Alves

“…We expand upon the previous approach found in the literature to solve this problem by carefully exploring the learning aspects of the proposed intelligent agent, which uses the Q-learning algorithm. We improved the reward system and optimized the exploration of the state space based on pruning and in collaboration with evolutionary computing (>300% improvement). …”
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Artificial intelligence in teaching programming to students of pedagogical university by I. A. Yashina

“…In particular, the use of artificial intelligence helps the student in writing and debugging code, simplifies the process of explaining to the instructor the ways of algorithm development and program compilation. …”
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Unbalance terminal control method at the reception, storage and delivery of petroleum products to the fuel depots of JSC “Russian Railways” by A. G. Godnev, E. P. Loktev, S. N. Naumenko

“…In practice, the method can be implemented with control algorithm of terminal control, provided that the relative error of the incoming of the actual mass of oil product to the tank is within the range stated in regulations. …”
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Sentiment Analysis Twitter Bahasa Indonesia Berbasis WORD2VEC Menggunakan Deep Convolutional Neural Network by Hans Juwiantho, Esther Irawati Setiawan, Joan Santoso, Mauridhi Hery Purnomo

“…The results of experiments that have been carried out with the Deep Convolutional Neural Network algorithm have the best accuracy value of 76.40%. …”
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