A BIT* algorithm with dilated vertices-based path stretching strategy by Xuanle Wu, Pu Li, Zhicheng Hou

“…In addition, DS-BIT* performs bidirectional improvement of the final path at the end of the algorithm, further reducing the final path cost. …”
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Assessing and Reducing Energy Consumption of Grain Cleaning and Drying Equipment by Yu. N. Sap’yan, V. A. Kolos, M. I. Suleymanov, E. N. Kabakova

“…(Conclusions) The paper provides the offered criteria and a developed algorithm for energy-saving optimization of grain drying equipment, which reduces the direct energy consumption of production lines and energy costs. …”
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Recommendation Algorithm of Web-Based Learning Resources considering Timeliness and Popularity by Xiaolu Han

“…Accordingly, an improved collaborative filtering algorithm (TRCP) is proposed to improve the accuracy of learning resource recommendation. …”
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RELIABILITY ANALYSIS OF RIGHT CENSORED WEIBULL DISTRIBUTION BASED ON GENETIC ALGORITHM by ZHANG Qing, ZHENG Yan, WANG Xuan, MA Min, WANG WenBo

“…According to the definitions of Weibull distribution and maximum likelihood,this paper converts the problem into a two-parameter equation to work out the optimal solution to the problem. Moreover,in light of genetic algorithm,this paper manages to work out the shape parameter β = 2. 2614,the size parameter δ = 5317. 186 and the location parameter θ =13253. 36. …”
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Research on the A* Algorithm for Automatic Guided Vehicles in Large-Scale Maps by Yuandong Chen, Jinhao Pang, Yuchen Gou, Zhiming Lin, Shaofeng Zheng, Dewang Chen

“…In terms of the improvement of the heuristic function, this study adopted the diagonal distance as the benchmark for cost estimation, and it innovatively introduces the angle coefficient to reflect the complexity of path turning, thus providing the algorithm with a more accurate guidance for the search direction. …”
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CRASHWORTHINESS DESIGN AND OPTIMIZATION FOR COLLISION POST OF TRAIN by SHI YueQing, QIN RuiXian, CHEN BingZhi

“…In order to improve the crashworthiness of the collision post structure, the optimal cross-section configuration of the collision post was obtained based on the topology optimization method, and the impacting finite element model of the collision post was established in the explicit dynamics software Ls-Dyna. …”
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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

“…Finally, a dedicated detection head is added to further improve the model's ability to detect small objects. …”
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Short-Term Load Forecasting for Electrical Power Distribution Systems Using Enhanced Deep Neural Networks by Shewit Tsegaye, Sanjeevikumar Padmanaban, Lina Bertling Tjernberg, Kinde Anlay Fante

“…This represents a 7.486% improvement over the prediction obtained using only LSTM model. …”
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Topology optimization of a cargo gripper design using the minimum effort principle by Gnezdilov S.G.

“…The study emphasizes accounting for varied load scenarios (e.g., sheet tilting) for future refinement. It confirms the algorithm’s effectiveness in simplifying models and highlights iterative refinement for rational topology. …”
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Optimized Hydrodynamic Design for Autonomous Underwater Vehicles by Gang Fan, Xiaojin Liu, Yanan Hao, Guoling Yin, Long He

“…Based on this, the response surface method (RSM) and multi-objective genetic algorithm (MOGA) are used to optimize the geometric parameters of the shape, aiming to improve the lift-to-drag ratio and reduce the mass. …”
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IoT driven smart health monitoring for heart disease prediction using quantum kernel enhanced sardine diffusion and CNN by Dibas Kumar Hembram, Satya Narayan Tripathy, CH Narsimha Reddy, Debabrata Dansana, Quadri Noorulhasan Naveed, Shafat khan, Mohammed Kareemullah, Addisu Frinjo Emma

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Study on Satisfaction Evaluation of Ecotourism Through Advanced Network Text Mining by Jia Gao, Leong Mow Gooi, Kim Mee Chong, Xiang Lyu, Jin Zhang

“…Key findings indicate that the GA-optimized LSTM model achieved a 15% increase in accuracy, a 20% improvement in precision, and a 25% boost in recall compared to the unoptimized model. …”
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Accurate and efficient insulator maintenance: A DETR algorithm for drone imagery. by Yanfeng Tian, Rodina Binti Ahmad, Nor Aniza Binti Abdullah

“…Furthermore, to improve detection accuracy, we introduce an optimized DETR method that incorporates a Spatial Information Interaction Module to further strengthen the characteristics of minor defects. …”
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A Cluster-Based Consensus Algorithm in a Wireless Sensor Network by Yanwei Li, Zhenyu Zhou, Takuro Sato

“…A utility function is developed based on two parameters, iteration and relative error, to help the network designers make an optimal decision based on their requirements. An irregular sensor model which is based on the degree of irregular (DOI) radius is introduced to evaluate the robustness of the algorithm. …”
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A Contribution of Shortest Paths Algorithms to the NetworkX Python Library by Miguel Cruz, Rui Carvalho, André Costa, Luis Pinto, Luis Dias, Paulino Cerqueira, Rodrigo Machado, Tiago Batista, Pedro Castro, Jorge Ribeiro

“…We have also done the benchmarking of the A*, comparing it with the new ones, and concluded the better efficiency of the A* extensions in tri-objective scenario parameters (length, cost and toll). Despite the extensive utilisation of A* and its notable efficacy in identifying optimal paths, its performance is suboptimal in specific scenarios, such as when confronted with memory constraints and dynamic environments. …”
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Multi-Target Detection Algorithm for Fusion Images Based on an Attention Mechanism by Zhenge Qu, Zhuoning Dong, Yuxin Guo, Hui Ren, Hongyang Fu

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Heap Optimization in A* Pathfinding for Horror Games by Risaldi Angga Buana Putra, Ary Setijadi Prihatmanto, Rahadian Yusuf, Agus Sukoco

“…This paper examines the implementation of the A* pathfinding algorithm with binary heap optimization in a horror game environment. …”
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Low error floor LT coding algorithm for unequal error protection by Xin SONG, Shuyan NI, Zhe ZHANG, Yurong LIAO, Tuofeng LEI

“…Conclusions: In this paper, a systematic unequal error protection LT coding scheme is designed, and a check degree distribution design model suitable for this scheme is constructed to solve the problem of high error floor existing in the conventional UEP-LT algorithm in the AWGN channel.The main idea of this scheme is to design fixed coding segments,rateless coding segments and systematic node segments and transmit them in sequence.The advantage of this scheme is that it can provide non-zero LLR information as early as possible for information nodes, and make the MIB and the LIB obtain different and flexibly adjustable average degrees.In addition,based on the extrinsic information transfer(EXIT)chart,the check degree distribution is designed for the fixed segment and the rateless segment,so that the MIB can obtain the optimal protection performance,and the convergence performance of the LIB can be improved as much as possible. …”
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A Deep Learning-Based Algorithm for Ceramic Product Defect Detection by Junxiang Diao, Hua Wei, Yawei Zhou, Zhihua Diao

“…Additionally, an adaptive threshold method is proposed to improve the traditional Canny edge detection algorithm, significantly enhancing its accuracy in defect edge detection. …”
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Performance analysis and testing of personal influence algorithm in online social networks by Yong QUAN, Yan JIA, Liang ZHANG, Zheng ZHU, Bin ZHOU, Binxing FANG

“…Social influence is the key factor to drive information propagation in online social networks and can be modeled and analyzed with social networking data.As a kind of classical personal influence algorithm,two parallel implementation versions of a PageRank based method were introduced.Furthermore,extensive experiments were conducted on a large-scale real dataset to test the performance of these parallel methods in a distributed environment.The results demonstrate that the computational efficiency of the personal influence algorithm can be improved significantly in massive data sets by virtue of existing big data processing framework,and provide an empirical reference for the future research and optimization of the algorithm as well.…”
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