Energy-efficient strategy for data migration and merging in Storm by Yonglin PU, Jiong YU, Liang LU, Ziyang LI, Chen BIAN, Bin LIAO

“…Storm is suffering the problems of high energy consumption but low efficiency.Aiming at this problem,the resource constraint model,the optimal principle of data reorganization in executors and node voltage reduction principle were proposed based on the analysis of the architecture and topology of Storm,and further the energy-efficient strategy for data migration and merging was put forward in Storm(DMM-Storm),which was composed of resource constraint algorithm,data migration and merging algorithm as well as node voltage reduction algorithm.The resource constraint algorithm estimates whether work nodes are appropriate for data migration according to the resource constraint model.The data migration and merging algorithm designs an optimal method to migrate data according to the the optimal principle of data reorganization in executors.The node voltage reduction algorithm reduces voltage of work nodes according to node voltage reduction principle.The experimental results show that the DMM-Storm can reduce energy consumption efficiently without affecting the performance of cluster compared with the existing researches.…”
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The Effect of Hemoadsorption with CytoSorb on Severe COVID-19 Complications by A. S. Rybalko, S. N. Galkina, A. S. Saryglar, A. V. Voronin, M. I. Rezyapova, N. I. Chaus, S. N. Perekhodov, N. A. Karpun

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Peningkatan Akurasi Klasifikasi Algoritma C 4.5 Menggunakan Teknik Bagging pada Diagnosis Penyakit Jantung by Erwin Prasetyo, Budi Prasetiyo

“…The purpose of the authors conducting this research is to determine the application of bagging techniques on the C4.5 algorithm, determine the accuracy of the results in the C4.5 algorithm, and compare the level of accuracy of the application of bagging techniques on the C4.5 algorithm. …”
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TATPat based explainable EEG model for neonatal seizure detection by Turker Tuncer, Sengul Dogan, Irem Tasci, Burak Tasci, Rena Hajiyeva

“…This research uses a publicly available neonatal EEG signal dataset to get comparative results. …”
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Software Implementation of the Epps-Pulley Criterion in Matlab Modeling Environment by A. A. Tipikin, A. A. Prusakov, N. A. Timoshenko

“…We used the time spent on calculations to make a reasonable choice of the calculation algorithm for the criterion statistics. We confirmed correctness of the calculation algorithms by a set of selective checks and statistical estimates that showed the compliance with well-known theoretical provisions.…”
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Evolving Many-Objective Job Shop Scheduling Dispatching Rules via Genetic Programming With Adaptive Search Based on the Frequency of Features by Atiya Masood, Mansoor Ebrahim, Fahad Najeeb, Syed Muhammad Daniyal

“…In addition, relevant features are selected based on their frequency of occurrence in diverse sets of best individuals. The proposed algorithm, Adaptive Feature Selection-GP-NSGA-III (AFS-GP-NSGA-III), is compared with the FS-GP-NSGA-III and standard GP-NSGA-III on a four-objective JSS problem. …”
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GES: A New Building Damage Data Augmentation and Detection Method Based on Extremely Imbalanced Data and Unique Spatial Distribution of Satellite Images by Xiaopeng Sha, Zhoupeng Guo, Xinqi Sang, Shuyu Wang, Yuliang Zhao

“…The xFBD_TWC dataset, featuring balanced samples and cloud occlusion, has demonstrated its excellence through experimental results. The experimental research on the proposed algorithm is conducted using the mainstream object detection models. …”
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Optimizing Pre-Trained Models for Medical Dataset Classification with a Fine-Tuning Approach by N. Kumar, T. Christopher

“…Traditional analytical techniques prove inadequate when dealing with extraction from features and performance of classifiers in this specific setting. The research introduces an algorithm which enhances Stacked Autoencoders (SAEs) by combining them with a customized Logistic Regression model intended for medical high-dimensional data analysis. …”
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Neighbor-Relationship-Based Adaptive Density Peak Clustering by Zhigang Su, Qian Gao, Jingtang Hao, Yue Wang, Bing Han

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Comparison of Kolmogorov–Arnold Networks and Multi-Layer Perceptron for modelling and optimisation analysis of energy systems by Talha Ansar, Waqar Muhammad Ashraf

“…Considering the improved interpretable performance of Kolmogorov–Arnold Networks (KAN) algorithm compared to multi-layer perceptron (MLP) algorithm, a fundamental research question arises on how modifying the loss function of KAN affects its modelling performance for energy systems, particularly industrial-scale thermal power plants. …”
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Study on the fusion of improved YOLOv8 and depth camera for bunch tomato stem picking point recognition and localization by Guozhu Song, Jian Wang, Rongting Ma, Yan Shi, Yaqi Wang

“…This research meets the needs of string tomato picking robots in fruit stalk target detection and provides strong support for the development of string tomato picking technology.…”
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A Hierarchical Feature Fusion and Dynamic Collaboration Framework for Robust Small Target Detection by Xu Yan, Junliang Du, Xuan Li, Xiaoye Wang, Xiaoxuan Sun, Pochun Li, Hongye Zheng

“…Results demonstrate that, compared to state-of-the-art models like YOLOv8 and YOLOv10, the proposed algorithm achieves significant improvements in precision, recall, and mAP, with mAP increasing by 2.1% to 3.2% and mAP-95 by 1.2% to 1.8%. …”
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Extending Conflict-Based Search for Optimal and Efficient Quadrotor Swarm Motion Planning by Zihao Wang, Zhiwei Zhang, Wenying Dou, Guangpeng Hu, Lifu Zhang, Meng Zhang

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Mobile robot path planning using deep deterministic policy gradient with differential gaming (DDPG-DG) exploration by Shripad V. Deshpande, Harikrishnan R, Babul Salam KSM Kader Ibrahim, Mahesh Datta Sai Ponnuru

“…Mobile robot path planning involves decision-making in uncertain, dynamic conditions, where Reinforcement Learning (RL) algorithms excel in generating safe and optimal paths. …”
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A Sea Horse Optimization-Based Approach for PEM Fuel Cell Model Parameter Estimation by Ali Erduman, Gizem Hazar, Evrim Baran Aydın

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Orientation Prediction for VR and AR Devices Using Inertial Sensors Based on Kalman-Like Error Compensation by Le Thi Hue Dao, Truong Thanh Nhat Mai, Wook Hong, Sanghyun Park, Hokwon Kim, Joon Goo Lee, Min-Seok Kim, Chul Lee

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Transmission scheme for collaborative‐RIS‐aided NOMA system with multiple channels by Heyi Li, Hong Wang, Peiqi Li, Peiyu Wang

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Entropy Detection Technique in Frequency Domain for Soil Cavity and Water Content by LI Hao, YU Hong, ZHANG Zhiqiang, ZHANG Guifeng, XU Dingjie

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A contrast enhanced representation normalization approach to knowledge distillation by Zhiqiang Bao, Di Zhu, Leying Du, Yang Li

“…The experimental results demonstrate that the Contrast Enhanced Representation Normalization Distillation algorithm outperforms the Contrastive Representation Distillation algorithm on the CIFAR100 and ImageNet datasets, and shows remarkable performance compared with other state-of-the-art knowledge distillation methods.This not only enables the deployment of models on resource-constrained devices, but also demonstrates extensive potential application values in tasks such as image segmentation, providing strong support for related research and practical applications.…”
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A Minimal Solution for Binocular Camera Relative Pose Estimation Based on the Gravity Prior by Dezhong Chen, Kang Yan, Hongping Zhang, Zhenbao Yu

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