Training Large Models on Heterogeneous and Geo-Distributed Resource with Constricted Networks by Zan Zong, Minkun Guo, Mingshu Zhai, Yinan Tang, Jianjiang Li, Jidong Zhai

“…To achieve this goal, we formulate the model partitioning problem among heterogeneous hardware and introduce a hierarchical searching algorithm to solve the optimization problem. …”
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A novel feature extraction method based on dynamic handwriting for Parkinson's disease detection. by Huimin Lu, Guolian Qi, Dalong Wu, Chenglin Lin, Songzhe Ma, Yingqi Shi, Han Xue

“…Finally, we proposed an escape Coati Optimization Algorithm (eCOA) for global optimization to enhance classification performance. …”
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An efficient and resilient energy management strategy for hybrid microgrids inspired by the honey badger's behavior by Ahmed A. Shaier, Mahmoud M. Elymany, Mohamed A. Enany, Nadia A. Elsonbaty, Marwa M. Tharwat, Marwa M. Ahmed

“…The HBA consistently exceeded the performance of other algorithms, achieving the lowest average cost, maintaining the highest efficiency of 95.305 %, and solving the optimization problem 300 s–500 s faster than the alternatives. …”
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A Novel Nonparallel Hyperplane Based Extreme Learning Machine for Classification by Arvind Kumar, Sanyam Shukla, Manasi Gyanchandani

“…However, these nonparallel methods typically solve two SVM-type optimization problems. Thus far, no existing nonparallel ELM variants introduce nonparallel hyperplanes into the traditional ELM framework or use a unified optimization problem. …”
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RETRACTED ARTICLE: Machine learning intelligent based hydromagnetic thermal transport under Soret and Dufour effects in convergent/divergent channels: a hybrid evolutionary numeric... by Muhammad Naeem Aslam, Nadeem Shaukat, Arshad Riaz, Ilyas Khan, Shafiullah Niazai

“…The weights of ANN based fitness function ranging from − 10 to 10. To optimize the weights and biases of artificial neural networks (ANNs), employ a hybridization of advanced evolutionary optimization algorithms, specifically the artificial bee colony (ABC) optimization integrated with neural network algorithms (NNA). …”
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Building electrical consumption patterns forecasting based on a novel hybrid deep learning model by Nasser Shahsavari-Pour, Azim Heydari, Farshid Keynia, Afef Fekih, Aylar Shahsavari-Pour

“…Accurate prediction of electrical energy consumption in smart buildings is a critical challenge for optimizing energy management systems, reducing costs, and improving overall efficiency. …”
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A Max-Flow Approach to Random Tensor Networks by Khurshed Fitter, Faedi Loulidi, Ion Nechita

“…This limiting value is described through a maximum flow optimization problem in a new graph corresponding to the geometry of the RTN and the given bipartition. …”
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A data driven model-free predictive current control for grid-connected inverters by Jindong YANG, Xiran ZHANG, Zeyu YANG, Fei RONG

“…Traditional model predictive current control has been widely studied in the field of grid-connected inverter control due to its rapid response and multi-objective optimization capabilities. A data driven model-free predictive current control strategy is proposed to address the problem of control performance degradation caused by parameter mismatch in traditional model predictive current control. …”
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AReal-time Detection Method of Vehicle Target Based on Improved YOLOv5s Algorithm by CHEN Xiufeng, WANG Chengxin, WU Yuechen, GU Kexin

“…For the problem of heterogeneous redundant frames，weighted non-maximum value suppression is used to fuse the information of both frames to improve the detection accuracy. …”
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Inverse Kinematics of a 7-Degree-of-Freedom Robotic Arm Based on Deep Reinforcement Learning and Damped Least Squares by Shusheng Yu, Gongquan Tan

“…In this paper, we propose a novel solution to the inverse kinematics problem by combining Proximal Policy Optimization (PPO) with the Damped Least Squares (DLS) method, forming the Multistep PPO-DLS Inverse Kinematics (MPDIK) algorithm. …”
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Design and Implementation of Smart Shopping Cart Based On Web Application Technology by Jonathan Vito Setiawan, Muhammad Dawwam, Aldira Fadillah Lazuardi, Suryo Adhi Wibowo, Rissa Rahmania, Siddiq Wahyu Hidayat

“…A combination of sensors, wifi modules, and a microcomputer ensures optimal performance for data handling with the database. …”
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Image retrieval method based on data mining and deep residual network by Hongzhi Yuan, Wei Hu

“…To overcome the vanishing gradient problem of traditional residual networks in deep structures, an improved residual network structure was introduced in the study, and optimization was performed simultaneously by combining the spatial transformation network and the feature enhancement module. …”
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Application of bias correction methods to improve U3Si2 sample preparation for quantitative analysis by WDXRF by Marcos Antonio Scapin

“…The results demonstrate that the adopted mathematical model is statistically satisfactory, allowing the optimization of the procedure.U3Si2, XRF, WDXRF.…”
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Architectural space design methods using data algorithms by Jingyang Liu, Yifan Zhang, Shiru Zhao

“…This paper introduced the principles of architectural space design, studied some existing design methods and problems, and used particle swarm optimization algorithm to make some innovations in architectural space design methods. …”
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Model for virtual corporations partner selection based on adaptive genetic algorithm by LI Jian1, JING Bo2, NIU Shao-zhang1, YANG Yi-xian1

“…After 1 000 times of experiments to gain the optimal result, SGA aver-agely needed 166 runs, while the AGA averagely only needed 145 runs. …”
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Attack traffic allocation and load balancing mechanism for SDN by LI Man, ZHOU Huachun, XU Qi, DENG Shuangxing, ZOU Tao, ZHANG Ruyun

“…In terms of detection performance, the average weighted precision, average weighted recall, and average weighted F1 score are 90%, 92% and 94%, respectively.…”
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Connected Transit Bus Dynamic Priority Weight Modeling and Conflicting Request Resolution Control at the Signalized Intersection by Shuxian He, Haihang Han, Huan Zhang, Shanzhi Sun, Tony Z. Qiu

“…What is more, it shows better delay optimization for social vehicles than the algorithm with delay as the objective while declining bus delay appreciable quantity with 43.4 s in average. …”
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Analysis and prediction of infectious diseases based on spatial visualization and machine learning by Yunyun Cheng, Yanping Bai, Jing Yang, Xiuhui Tan, Ting Xu, Rong Cheng

“…Finally, a multi algorithm fusion learning model based on stacking technology is proposed to address the problem of poor generalization ability of single algorithm models in prediction; Furthermore, radial basis function network (RBF) was used as a two-level meta learner to fuse the above models, and particle swarm optimization (PSO) was used to optimize RBF parameters to reduce generalization error. …”
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Turning Energy-Aware Route Planning With an Extended TSP and Double-Layer State Graph: Experimental Evaluation With a Crawler Mobile Robot by Namihei Adachi, Hisashi Date

“…For mobile robots with multiple destinations that must be visited only once, the Traveling Salesman Problem (TSP) provides an optimal route. The optimality may not be achieved for crawler robots, which are often used in the forestry industry and have a higher energy consumption during turning. …”
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Study on distribution spectrum of grain connection force and differential-speed threshing device for combine harvester by WANG Zhiming, LÜ Pengmin, CHEN Ni, MA Guang

“…The distribution of grain connection force of hybrid rice Yongyou 9 was wide but the average value was intensive. It is beneficial for selection of cylinder speed.Based on the calculation of the threshing coefficients of four kinds of high yield rice, mathematical models of the relationship between the average connection force of grain with the top gear line speed and the rotational speed of the threshing cylinder were established and validated, which provided the theoretical basis for the differential-speed threshing technology. …”
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