DBO-DELM Method for Predicting Rolling Forces in Cold Rolling by LI Xiaoyang, PIAO Chunhui, WANG Xuelei, ZHANG Mingzhi

“…Using the actual production data of a four- frame cold continuous rolling unit in China, the DBO-DELM rolling force prediction model for each frame is generated based on the optimisation of the bias and weight parameters of DELM by the dung beetle optimizer algorithm. The test results show that the relative error of the DBO-DELM rolling force prediction model can reach more than 77% within ± 5% , which is more than 6% higher than that of the existing MA-SVM, DBN, ELM-AE models in the second and third frame, and more than 10% higher than that of the first and fourth frame. …”
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Detection of Pesticide Residues Using Three-Dimensional SERS Substrate Based on CNTs/Ag/AgNWs/SiO₂ by Jianjun Ding, Niansong Liu, Ganglin Wang, Naiyu Guo, Chao Sun

“…Additionally, the genetic algorithm (GA)-optimized Back Propagation (BP) neural network was introduced for the quantitative analysis of thiram concentrations. …”
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Vision-Based Control of Robotic Arm Mounted on Unmanned Surface Vehicle for Rocket Recovery by Abenezer Zegeye, Sang Ki Jeong, Hae Yong Park, Sunghun Jung

“…To detect and localize the landing rockets, a depth camera sensor and an advanced You Only Look Once Version Eight (YOLOv8) object-detection algorithm were employed. To train the YOLO algorithm, a customized bespoke dataset was developed for rocket identification. …”
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Basketball free throw hit probability prediction system based on deep learning object detection and pose estimation by Hao Deng

“…In addition, the study also utilizes a three-dimensional pose estimation algorithm to predict the vector field of joint key points and joint connections. …”
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Structural optimization of the hydraulic drive of a mobile transport and reloading rope complex based on pareto-optimal solutions by Tarichko V.I.

“…An algorithm for the formation of the Pareto set is considered, which consists of a variety of alternative versions of the hydraulic drive based on a combination of positive displacement pumps and hydraulic motors of permissible standard sizes. …”
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Data‐sharing strategies in medical consortium based on master‐slave multichain and federated learning by Bohan Kang, Ning Zhang, Jianming Zhu

“…According to the different computing resources and the responsibility of participants, the adaptive Proof of Liveness and Quality consensus and hierarchical federated learning algorithm for master‐slave multichain are proposed. …”
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Sentiment Analysis using Twitter Dataset by Ibrahim Moge Noor, Metin Turan

“…Results show that the model reached to an acceptable accuracy of (71%) on average using unigram model.…”
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DCEP: Data Collection Strategy with the Estimated Paths in Ocean Delay Tolerant Network by Chao Liu, Zhongwen Guo, Feng Hong, Kaishun Wu

“…Through simulations and real data analysis, we provide quantitative analysis of the proposed strategy, such as data collection ratio, complexity of the algorithm and energy consumption. Especially, the data collection ratio on real data analysis could reach 95%–100% in acceptable time, which is 30% more than the radio of the strategy that data stored as they come.…”
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Fractional order control of Wind Energy Conversion System based on DFIG by Samir Metatla, Ali Nesba, Youcef Soufi

“…The paper deals with the elaboration of a robust and efficient decoupled active and reactive powers control algorithm of double-fed induction generator (DFIG) using fractional order control based on proportional and integral controllers. …”
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An Extended Virtual Force-Based Approach to Distributed Self-Deployment in Mobile Sensor Networks by Jun Li, Baihai Zhang, Lingguo Cui, Senchun Chai

“…To overcome the connectivity maintenance and nodes stacking problems in the traditional virtual force algorithm (VFA), an extended virtual force-based approach is investigated to achieve the ideal deployment. …”
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Efficient Intelligent Energy Routing Protocol in Wireless Sensor Networks by Farzad Kiani, Ehsan Amiri, Mazdak Zamani, Touraj Khodadadi, Azizah Abdul Manaf

“…In the new protocol is proposed an intelligent routing protocol algorithm. It is based on reinforcement learning techniques. …”
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Autonomous Navigation onto Autodocking Drone System using Computer Vision by LISA KRISTIANA, KEINDRA BAGAS MAULANA, SHAFIRA KURNIA FASYA, MUHAMMAD ZUFAR DAFY, MUKTIADI AKHMAD JANUAR

“…The results achieved using this approach, reached a 90% success rate (precision) with control of several environmental parameters. first page. …”
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Adjusting U-Net for the aortic abdominal aneurysm CT segmentation case by R.U. Epifanov, N.A. Nikitin, A.A. Rabtsun, L.N. Kurdyukov, A.A. Karpenko, R.I. Mullyadzhanov

“…As a result of our study, macro dice score for classes of interest reaches 83.12% ± 4.27%. We explored different augmentation styles and showed the importance of applying intensity augmentation style to improve segmentation algorithm robustness in conditions of clinical data diversity. …”
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Design of an intelligent assisted driving system for underground trackless rubber-tired vehicles based on multi-sensor data fusion by Wei LI, Fei MENG, Yu WANG, Yang WEI, Haixing CHENG, Naibang WANG

“…The test results show that the accuracy of the multimodal fusion perception algorithm of the system in obstacle recognition has reached more than 96%, and the safety of man-machine cooperative driving is improved to 99.6%.…”
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Implementation of XGBoost Models for Predicting CO₂ Emission and Specific Tractor Fuel Consumption by Nebojša Balać, Zoran Mileusnić, Aleksandra Dragičević, Mihailo Milanović, Andrija Rajković, Rajko Miodragović, Olivera Ećim-Đurić

“…A machine learning approach based on the XGBoost algorithm was applied to develop predictive models for CO₂ concentrations in exhaust gases and specific fuel consumption. …”
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Obesity Prediction Using Synthetic Minority Oversampling Technique for Numeric and Continous and XGBoost Approaches by Tiara Azahra Wika Putri, Umu Sa’adah, Ummu Habibah

“…This study investigates the effect of using SMOTE-NC on the XGBoost algorithm in predicting obesity. The main objective of this research is to determine the effect of implementing SMOTE-NC and also the features that are most influential in the prediction process. …”
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Integrating Data Mining, Deep Learning, and Gene Ontology Analysis for Gene Expression-Based Disease Diagnosis Systems by Sergii Babichev, Igor Liakh, Jiri Skvor

“…The research methodology involves initial gene ontology analysis, followed by the application of the Self Organizing Tree Algorithm (SOTA) for clustering gene expression profiles, an ensemble algorithm for data biclustering, and CNN for sample classification. …”
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Airport Clearance Detection Based on Vision Transformer and Multi-Scale Feature Fusion by Yutong Chen, Yufen Liu, Zhixiong Guo, Qiang Gao

“…The experimental results show that the model achieves high detection accuracy which has reached mAP@0.5 at 93.7%, an improvement of 5.4% compared to YOLOv8n.…”
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Automatic Reading and Reporting Weather Information from Surface Fax Charts for Ships Sailing in Actual Northern Pacific and Atlantic Oceans by Jun Jian, Yingxiang Zhang, Ke Xu, Peter J. Webster

“…The OpenCV image processing method and YOLOv5s/YOLO8vn algorithm were utilized to make template matches and locate warning symbols and weather reports from surface weather charts. …”
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Model-Based Detection of Coordinated Attacks (DCA) in Distribution Systems by Nitasha Sahani, Chen-Ching Liu

“…The developed learning algorithm identifies the most probable attack path to reach the attacker’s objective by predicting the next attack steps. …”
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