A Low-Cost pH Sensor for Real-Time Monitoring of Aquaculture Systems in a Multi-Layer Wireless Sensor Network by Binta Mohammed Adib Zeta, Sifat U. Alam, Gazi M. A. Ehsan Ur Rahman, Khawza Iftekhar Uddin Ahmed

“…This research develops a pH sensor with temperature compensation implementing a machine learning (ML) algorithm. …”
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Green logistics optimization for coal supply in a power plant connecting maritime port by Mingsheng Qiu, Liping Gao, Zhouyong Lin, Minghong Zheng, Qingzhong Lin

“…Despite significant advancements in clean energy, coal remains a dominant energy source in China, necessitating optimization in its usage and management to mitigate environmental impacts. …”
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Feedforward–Feedback Fuzzy-PID Water Level Control using PLC and Node-RED IoT by Adhitya Sumardi Sunarya, Fitria Suryatini, Nuryanti Nuryanti, Abdur Rohman Harist M, Gailan Anaisabury

“…The system is designed to improve response accuracy and disturbance recovery in water level control applications. …”
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Scheme of extending elliptic curve method to three phases by Guiwen LUO

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A New Iterative Construction for Approximating Solutions of a Split Common Fixed Point Problem by Huimin He, Qinwei Fan, Rudong Chen

“…In this paper, we aim to construct a new strong convergence algorithm for a split common fixed point problem involving the demicontractive operators. …”
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Reliable identification method of intrusion personnel in front of underground moving equipment by Bin LIANG, Guang LI, Guangpeng SHAN

“…The experimental results show that the improved fusion model can effectively improve the accuracy of object detection compared with the commonly used DenseFuse, FusionGAN and STDFusionNet models. …”
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Aerodynamic model identification of supersonic aircraft using Bayesian approach-based Box–Jenkins structure by Muhammad Fawad Mazhar, Muhammad Wasim, Manzar Abbas, Imran Shafi, Jamshed Riaz, Tae-hoon Kim, Imran Ashraf

“…This study discovers a decoupled longitudinal aerodynamic model of an open-loop supersonic aircraft using a novel algorithm that blends grey-box modeling architecture i.e. …”
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Confidence-Aware Ship Classification Using Contour Features in SAR Images by Al Adil Al Hinai, Raffaella Guida

“…Alongside the SVM, a random forest (RF) and a Gaussian process classifier (GPC) were used to examine the effect of entropy derivation from different classifiers while assessing feature robustness. …”
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A Review of Numerical Techniques for Frictional Contact Analysis by Govind Vashishtha, Sumika Chauhan, Riya Singh, Manpreet Singh, Ghanshyam G. Tejani

“…Advancements in constitutive modelling are vital for improved accuracy, along with enhanced contact detection algorithms for complex geometries and large deformations. …”
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Advanced Human Pose Estimation and Event Classification Using Context-Aware Features and XGBoost Classifier by Wasim Wahid, Aisha Ahmed AlArfaj, Ebtisam Abdullah Alabdulqader, Touseef Sadiq, Hameedur Rahman, Ahmad Jalal

“…Despite many surveys, a comprehensive review of HPE, especially with recent deep learning innovations, is still needed. …”
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IFMIR-VR: Visual Relocalization for Autonomous Vehicles Using Integrated Feature Matching and Image Retrieval by Gang Li, Xiaoman Xu, Jian Yu, Hao Luo

“…An integrated matching algorithm is applied during the feature matching process. …”
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Enhanced medical image segmentation using novel level set evolution and efficient optimization by Samad Wali, Adil Jhangeer, Ariana Abdul Rahimzai, Samina Samina, Mudassar Imran

“…The algorithm showed exceptional precision through its average dice coefficient of 0.96 which matched the ground truth data measurement standards. …”
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Chaotic chimp-mountain gazelle optimized FOPID control for frequency regulation in islanded airport microgrids with heterogeneous energy systems by Odelu P., Chandan Kumar Shiva, Sachidananda Sen, Vedik Basetti, Chandra Sekhar Reddy

“…The effectiveness of the proposed CCMGO optimized dynamic controller was evaluated under various load perturbation scenarios, including impulse, step-ramp, and stochastic disturbances. …”
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Omnidirectional Motion Trajectory Tracking Control Method for AUVs by Jiangpeng XU, Junlei WANG, Yi TANG

“…The method retained the original low-drag streamlined torpedo-like structural design and motion mode of AUVs while endowing them with a new omnidirectional motion mode. …”
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Extracting Information from Unstructured Medical Reports Written in Minority Languages: A Case Study of Finnish by Elisa Myllylä, Pekka Siirtola, Antti Isosalo, Jarmo Reponen, Satu Tamminen, Outi Laatikainen

“…Moreover, it was noted that parameter tuning based on translated English reports did not significantly improve the detection rates, likely due to linguistic differences between the datasets. …”
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Experimental Study on Antivibration Control of Electrical Power Steering Systems by Zhaojian Wang, Hamid Reza Karimi

“…For the implementation study, we also present the motor driver design and the software design which is used to monitor the sensors and the control signal. …”
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FSUNet: lightweight full-scale information fusion UNet for seed coat thickness measurement by Zhikun Zhang, Qin Xu, Haojie Shi, Guangwu Zhao, Lu Gao, Tao Wang, Guosong Gu, Liangquan Jia

“…To solve this problem , we propose an efficient and universal deep learning method, FSUNet. Base on the UNet model, FSUNet introduces a new Full-Scale Information Fusion module (FSIF), adopting 7 × 7 depth-wise separable convolutions and point convolutions to capture remote information, and designs the MConv module. …”
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Investigation on the Role of Artificial Intelligence in Measurement System by P. A. Rezvy, Venkata Lakshmi Narayana Komanapalli

“…Challenges like integration to distributed control system via programmable logic controller, huge amount of training data for estimation, real time implementation in measurement systems, overfitting, underfitting, implementation cost are analyzed. …”
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Lightweight CNN-Based Visual Perception Method for Assessing Local Environment Complexity of Unmanned Surface Vehicle by Tulin Li, Xiufeng Zhang, Yingbo Huang, Chunxi Yang

“…Subsequently, this identification result can be used as feedback for the heuristic algorithm to optimize and plan the USV’s path. The simulation results indicate that the developed model achieves an 80% reduction in model size while maintaining an accuracy exceeding 90%. …”
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Integrating Advanced Techniques: RFE-SVM Feature Engineering and Nelder-Mead Optimized XGBoost for Accurate Lung Cancer Prediction by Sarah Ayad, Hamdi A. Al-Jamimi, Ammar El Kheir

“…Early detection of lung cancer is crucial for improving patient survival and reducing mortality. …”
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