Handover Management of Net-Drones for Future Internet Platforms by Kyung-Nam Park, Jin-Hyeok Kang, Byeong-Moon Cho, Kyung-Joon Park, Hwangnam Kim

“…To this end, we use the seamless handover success probability and the false handover initiation probability in order to evaluate the optimal coverage decision algorithm. To the best of our knowledge, the proposed scheme is the first attempt for resolving handover of net-drones in the three-dimensional space.…”
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A Tri-Attention Neural Network Model-BasedRecommendation by Nanxin Wang, Libin Yang, Yu Zheng, Xiaoyan Cai, Xin Mei, Hang Dai

“…The proposed TANN model applies the stud genetic algorithm to automatically select meta-paths at first. …”
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Training and Testing Data Division Influence on Hybrid Machine Learning Model Process: Application of River Flow Forecasting by Hai Tao, Ali Omran Al-Sulttani, Ameen Mohammed Salih Ameen, Zainab Hasan Ali, Nadhir Al-Ansari, Sinan Q. Salih, Reham R. Mostafa

“…The results revealed the potential of the hybridized support vector regression model with a genetic algorithm (SVR-GA) over the other ML forecasting models for monthly river flow forecasting using 90%–10% data division. …”
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Toward Intelligent Intrusion Prediction for Wireless Sensor Networks Using Three-Layer Brain-Like Learning by Jun Wu, Song Liu, Zhenyu Zhou, Ming Zhan

“…In addition, sensor nodes usually are resource constrained, which limits the direct adoption of expensive intrusion prediction algorithm. To address the above challenges, we propose an intelligent intrusion prediction scheme that is able to enforce accurate intrusion prediction. …”
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A Lightweight Model for Shine Muscat Grape Detection in Complex Environments Based on the YOLOv8 Architecture by Changlei Tian, Zhanchong Liu, Haosen Chen, Fanglong Dong, Xiaoxiang Liu, Cong Lin

“…These results highlight the potential of our model for accurate and efficient deployment on resource-constrained edge devices, providing an algorithmic foundation for the automated harvesting of “Sunshine Rose” grapes.…”
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Novel Optimized Support Vector Regression Networks for Estimating Fresh and Hardened Characteristics of SCC by Babak Naeim, Ali Javadzade Khiavi, Parisa Dolatimehr, Behnam Sadaghat

“…Overall, the HGSO-SVR model beats PSO-SVR, showing the capacity of the algorithm to choose the most effective parameters for the method under examination.…”
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Load Transfer Efficiency Analysis and Void Evaluation of Composite Pavement Cement Concrete Slab by Hao Li, Naren Fang, Xuancang Wang, Yang Fang, Xianghang Li, Chao Li, Siyin Ding

“…Taking into consideration the spring stiffness, void size, and soil base elastic modulus, the void evalua\tion method of composite pavement cement concrete slab is established by using back propagation neural network algorithm. The results show that the void evaluation method can provide the void determination map with two parameters. …”
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Early Prediction of Cardio Vascular Disease (CVD) from Diabetic Retinopathy using improvised deep Belief Network (I-DBN) with Optimum feature selection technique by T. K. Revathi, B. Sathiyabhama, S Kaliraj, Vidhushavarshini Sureshkumar

“…We used Principal Component Analysis (PCA) and Particle Swarm Optimization (PSO) algorithm for feature extraction and selection respectively. …”
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A method for jamming waveform design in precision electronic warfare scenarios by Ke‐di Zhang, Qing‐song Zhou, Jing Wang, Jian‐yun Zhang, Zhi‐hui Li

“…Experiments showed that the jamming waveforms designed by this algorithm meet the energy distribution requirements of PREW scenarios, and at the same time, the jamming waveforms emitted by each transmitter are superimposed in the jamming area to produce a signal that can cover the target work bandwidth. …”
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Compressive sampling–based ultrasonic computerized tomography technique for damage detection in concrete-filled steel tube in a bridge by Binbin Li, Bo Liu, Fan Xu, Yang Liu, Wentao Wang, Tao Yang

“…And in the imaging phase, ℓ 1 -norm minimization optimization algorithm is used to reconstruct the internal damage, rendering the sparest solution related to the physical damages. …”
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Inland wetlands mapping and vulnerability assessment using an integrated geographic information system and remote sensing techniques by C.E. Akumu, J. Henry, T. Gala, S. Dennis, C. Reddy, F. Tegegne, S. Haile, R.S. Archer

“…Inland wetland types i.e. forested/shrub, emergent and open water bodies were classified and mapped using maximum likelihood standard algorithm. The spatial distribution pattern of inland wetlands was examined using average nearest neighbor analysis. …”
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Design Optimization of a Multistage Axial Flow Compressor Based on Full-Blade Surface Parameterization and Phased Strategy by Jinxin Cheng, Shengfeng Zhao, Zhaohui Dong, Chengwu Yang

“…The method mainly contains three aspects: full-blade surface parametrization can significantly reduce the number of control variables per blade row and increase the degrees of freedom of the leading edge blade angle compared with the traditional semiblade parametric method; secondly, the artificial bee colony algorithm improved initialization and food source exploration and exploitation mechanism to enhance the global optimization ability and convergence speed, and a distributed optimization system is built on the supercomputing platform based on this method; finally, a phased optimization strategy based on the “synchronous change in multirow blades” is proposed, and expert experience is introduced to achieve a better balance between exploration and exploitation. …”
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Heterogenous Trip Distance-Based Route Choice Behavior Analysis Using Real-World Large-Scale Taxi Trajectory Data by Yajuan Deng, Meiye Li, Qing Tang, Renjie He, Xianbiao Hu

“…To this end, the DBSCAN algorithm and Akaike information criterion (AIC) were first used to classify trips into different categories based on the trip length. …”
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Data-Driven Method for Predicting Soil Pressure of Foot Blades within a Large Underwater Caisson by Can Huang, Hao Zhu, Kunyao Li, Jianxin Zheng, Hao Li, Jiaming Li, Yao Xiao

“…Furthermore, by improving the splitting method of the original Classification and Regression Tree (CART) algorithm, a single model’s numerical prediction of 80-foot blades soil pressures is realized. …”
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FI-NL2PY2SQL: Financial Industry NL2SQL Innovation Model Based on Python and Large Language Model by Xiaozheng Du, Shijing Hu, Feng Zhou, Cheng Wang, Binh Minh Nguyen

“…Through this innovative algorithm, the accuracy of NL2SQL in the financial industry is greatly improved, which can provide business personnel with a robust database access mode.…”
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Research on Aircraft Surface Taxi Path Planning and Conflict Detection and Resolution by Ningning Zhao, Nan Li, Yu Sun, Lei Zhang

“…For aircraft with taxiing conflicts, waiting or changing paths is selected to deconflict taxiing by comparing priorities. An improved A∗ algorithm solution is applied to generate conflict-free glide paths and new glide trajectory occupancy time windows, while the glide paths of aircraft without glide conflicts are not affected. …”
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Structural Damage Identification through an Optimal Sensor Placement Approach and the Modal Strain Energy Based Index by Seyed Mohammad Seyedpoor, Reza Yahyapour, Ali Asghar Mofdi, Saeed Fallahian

“…In the first stage, a correlation function between the reconstructed mode shapes using the iterated improved reduced system (IRS) method and the complete mode shapes of a structure is defined and then the function is minimized via the binary differential evolution (BDE) algorithm to find the optimal sensor placement of the structure. …”
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Discrete-Time Design of Fractional Delay-Based Repetitive Controller with Sliding Mode Approach for Uncertain Linear Systems with Multiple Periodic Signals by Edi Kurniawan, Azka M. Burrohman, Purwowibowo Purwowibowo, Sensus Wijonarko, Tatik Maftukhah, Jalu A. Prakosa, Dadang Rustandi, Enggar B. Pratiwi, Amaliyah Az-Zukhruf

“…In this paper, a discrete-time design of a fractional internal model-based repetitive controller with a sliding mode approach is presented for uncertain linear systems subject to repetitive trajectory and periodic disturbance. The proposed algorithm, named a fractional delay-based repetitive sliding mode controller (FD-RSMC), aims to enhance tracking accuracy, transient response, and robustness against parametric variations beyond what is offered by conventional repetitive controllers. …”
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Prosthetic Hand Based on Human Hand Anatomy Controlled by Surface Electromyography and Artificial Neural Network by Larisa Dunai, Isabel Seguí Verdú, Dinu Turcanu, Viorel Bostan

“…The model converges after 10 sessions, achieving 98% accuracy. As a result, an algorithm was developed that aimed to recognize two specific gestures (handling a bottle and pointing with the index finger) in real time with 95% accuracy.…”
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Investigation of the Influence of Atmospheric Scattering on Photolysis Rates Using the Cloud-J Module by Anastasia Imanova, Eugene Rozanov, Sergei Smyshlyaev, Vladimir Zubov, Tatiana Egorova

“…This study analyses the wide-band algorithm, Cloud-J v.8.0, from the point of view of the validity of the choice of wide spectral intervals to accelerate the calculations of photolysis rates in the lower and middle atmosphere, considering the features of solar radiation propagation, and to assess the influence of the processes of reflection and scattering on molecules, aerosols, and clouds. …”
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