Efficient Material Flow and Storage Space Determination in Automated Distribution Centers by Mohammed Alnahhal, Nikola Gjeldum, Mohammed Ruzayqat

“…Items with relatively large demand levels have scenario 3 as the optimal one. Results also showed that the model reduces both total costs and stacker crane utilization while improving system flexibility.…”
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“Bias Correction Method” for Regional Correction Experiment of Warm Season Rainstorm in Zhejiang by Chengyan Mao, Xin Pan, Haowen Li, Weibiao Li, Haoya Liu

“…This study employs the K-means clustering algorithm to partition warm-season precipitation in Zhejiang Province into distinct regions. …”
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Short-Term Power Prediction for Wind Farm and Solar Plant Clusters Based on Machine Learning Method by Yang CUI, Zhenghong CHEN, Peihua XU

“…Firstly, the machine learning-based Bisecting K-Means(BKM) clustering algorithm is used to reasonably divide the wind farms and PV stations in the region into clusters; Secondly, based on the correlation between of the historical power data of each power station and the total historical power data in the region, a representative power station is selected for each region; Thirdly, after optimizing and correcting the NWP(numerical weather prediction) model of each representative power station, a short-term power prediction framework model is established using BP neural network based on the cluster division of wind farms and PV power plants. …”
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Educational frontiers with ChatGPT: a social network analysis of influential tweets by Mehmet Firat, Saniye Kuleli

“…Using the ForceAtlas2 algorithm and thematic content analysis, the study explores the appeal of ChatGPT and its prospects as an educational tool. …”
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SATELLITE ALTIMETER DATA FILTERING AND SMOOTHING IN THE COURSE OF GROUND-BASED RETRACKING by D. S. Borovitsky, A. E. Zhesterev, V. P. Ipatov, R. M. Mamchur

“…The paper subject is study of retracking algorithms of altimeter data transmitted from the space vehicle to the ground segment.Methods and materials. …”
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QuantumGS-Box—A Key-Dependent GA and QRNG-Based S-Box for High-Speed Cloud-Based Storage Encryption by Anish Saini, Athanasios Tsokanos, Raimund Kirner

“…In this paper, we propose the QuantumGS-box, which is a dynamic S-box for high-speed cloud-based storage encryption generated by bit shuffling with a genetic algorithm and a quantum random number generator (QRNG). …”
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DIGEST: Fast and Communication Efficient Decentralized Learning With Local Updates by Peyman Gholami, Hulya Seferoglu

“…Gossip algorithms (both synchronous and asynchronous versions) suffer from high communication cost, while random-walk based learning experiences increased convergence time. …”
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The Impact of Road Functions on Road Congestions Based on POI Clustering: An Empirical Analysis in Xi’an, China by Hui Zhu, Kaiqi Zhang, Changjun Wang, Lujin Jia, Siyu Song

“…We adopted the DBSCAN algorithm to cluster POIs and use the mixed POI clusters to label the socio-economic functions of roads. …”
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Sensitivity analysis of factors influencing the curve negotiation performance of hot metal train by TIAN Mingjie, HUANG Zhihui, CHEN Xuejing, YANG Quan, YU Hongda

“…Track irregularities have the greatest influence on the safety of train curve operation, followed by curve radii and curve superelevations, while running speeds exhibit little influence.…”
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Road-Adaptive Precise Path Tracking Based on Reinforcement Learning Method by Bingheng Han, Jinhong Sun

“…The framework first analyzes the obstacles around the vehicle and plans an obstacle-free reference path with the minimum curvature using the hybrid A* algorithm. Next, based on the generated reference path, the current state of the vehicle, and the vehicle motor energy efficiency diagram, the optimal speed is calculated in real time, and the vehicle dynamics preview point at the future moment—specifically, the look-ahead distance—is predicted. …”
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Cloud Detection in Remote Sensing Images Based on a Novel Adaptive Feature Aggregation Method by Wanting Zhou, Yan Mo, Qiaofeng Ou, Shaowei Bai

“…Experimental results using the HRC_WHU, CHLandsat8, and 95-Cloud datasets demonstrate that the proposed algorithm surpasses existing optimal methods, achieving finer segmentation of cloud boundaries and more precise localization of subtle thin clouds.…”
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Adaptive Panoramic Video Multicast Streaming with Limited FoV Feedback by Jie Li, Ling Han, Cong Zhang, Qiyue Li, Weitao Li

“…We then formulate it as a nonlinear integer programming (NLP) problem and propose an optimal algorithm that combines the Karush–Kuhn–Tucker (KKT) conditions with the branch-and-bound method to solve this problem. …”
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Development of Semiparametric Smoothing Spline Path Analysis on Cashless Society by Muhammad Rafi Hasan Nurdin, Muhammad Ohid Ullah, Adji Achmad Rinaldo Fernandes, Eni Sumarminingsih, Solimun Solimun

“…For entirely non-linear relationships, a nonparametric model can be used, while a semiparametric model applies if there is a mix of linear and non-linear relationships. …”
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Behavioural Economics and Consumer Decision-Making in the Age of Artificial Intelligence (AI), Data Science, Business Analytics, and Internet of Things (IoT) by Yuki Haruto Yamamoto

“…Leveraging Big Data and sophisticated analytics, companies achieve greater marketing precision and data-driven insights, leading to highly personalized consumer engagement that aligns with individual preferences. However, while AI and IoT facilitate more efficient and engaging consumer experiences, they introduce complex ethical and practical concerns, particularly around data privacy, algorithmic fairness, and maintenance of consumer trust. …”
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Enhancing Renewable Energy Hosting Capacity in Unbalanced Microgrids via Empowering Smart Inverters by Hossam H. H. Mousa, Karar Mahmoud, Matti Lehtonen

“…The IEEE 123-bus test system, divided into six operational zones, is used as a case study, incorporating plug-in electric vehicle (PEV) demand and wind-based distributed generation (DG). A metaheuristic algorithm is developed for optimal DG and ESS deployment using MATLAB and OpenDSS. …”
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Reduced phase-state detection based on virtual modulation indexes for Multi-h CPM by Shunqin XIE, Ke ZHOU, Dahai CHEN, Xianglu LI, Sheng ZHONG, Jian ZHANG

“….Simplified detection with reduced phase-state based on virtual modulation indexes was designed for Multi-h CPM.Multiple sets of modulation indexes different from the transmitter were constructed in the receiver,and the per-survivor processing was used to solve the mismatch caused by the inconsistency of the modulation indexes between the receiver and the transmitter.When the denominator of virtual modulation index was much smaller than the original denominator of actual transmitted signal,the phase states of coherent sequence detection could be effectively simplified,thus the complexity of coherent detection for Multi-h CPM could be reduced.The trellis could be simplified further via combining with the frequency pulse truncation(FPT) used for simplifying correlation states.The simulation results show that for advanced range telemetry (ARTM) CPM signal,various simplified receiving schemes based on virtual modulation indexes can be designed.When the virtual modulation indexes are set to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow><mo>[</mo> <mrow> <mfrac> <mtext>3</mtext> <mtext>4</mtext> </mfrac> <mtext>,</mtext><mfrac> <mtext>2</mtext> <mtext>4</mtext> </mfrac> </mrow> <mo>]</mo></mrow></math></inline-formula>,the number of trellis states can be reduced from 512 (in optimal detection) to 64,but the performance loss is less than 0.05 dB.Further combined with FPT algorithm,the number of trellis states can be reduced to 16,while the performance loss is only 0.75 dB.…”
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Video Detection and Fusion Tracking for the Targets in Traffic Scenario by Pan Li, Jianing Zhang, Chengxi Han, Luping Xu, Baoguo Feng, Yongjun Zhou, Sen Zhang, Bo Zhang

“…The experimental results demonstrate that the association algorithm for optimal data fusion proposed in this paper improves performance by 3.86% and 2.13% compared with the traditional fusion method and the IOU matching fusion, respectively. …”
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The Usage of Artificial Intelligence (Artificial Intelligence) as material for consideration of the judge's decision In the Criminal Justice System in Indonesia by Syamsul Fatoni, Erma Rusdiana

“…The findings reveal that incorporating AI in the judge's decision-making process aids in assessing information and data, facilitating optimal, effective, and efficient decision-making.  …”
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Relay-Assisted Wireless Sensor Networks Using KNN-DBSCAN Static Clustering by Thierry Taning Longla, Tansal Gucluoglu, Tamer Dag

“…To address this challenge, we propose KDL, a novel hybrid clustering algorithm that combines K-Nearest Neighbor (KNN) and Density-Based Spatial Clustering (DBSCAN) to optimize energy efficiency in WSNs. …”
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Theoretical and numerical investigation of the effects of in-situ stresses and dual-borehole combinations in eccentric decoupled charge blasting by Yao Yin, Minxing Song, Yu Feng, Zhongqiang Liu, Xiaohui Chen, Qing Sun

“…This work provides a theoretical basis and reference for optimizing the design of multi-borehole contour blasting in deep rock excavation under significant in-situ stresses, facilitating desired crack propagation while minimizing damage to the surrounding rock.…”
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