Predicting Rainfall for Farming in the Bantul Region Using an Artificial Neural Network by Salsalbilla Septya, Riyadi Slamet, Zaki Ahmad, Nursetiawan Nursetiawan

“…Climatic conditions of the rainy season, such as the clear difference between the rainy and dry seasons, greatly affect the meteorological characteristics, especially the temperature and rainfall in the territory of Indonesia. …”
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THE ROLE OF LEGAL TECHNIQUE IN CONDUCTING ANTI-CORRUPTION EXAMINATION OF THE LEGISLATION OF THE RUSSIAN FEDERATION by Irina Klyukovskaya, Ruslan Melekayev

“…Thirdly, the methodology is a clear plan of action based on specific methods, an algorithm for the performance of certain activities. …”
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Secondary School Students’ Perceptions of Subjects in Integrated STEM Teaching by Anna Kellinghusen, Sandra Sprenger, Catharina Zieriacks, Anna Orschulik, Katrin Vorhölter, Sandra Schulz

“…Although the importance of an integrated approach in STEM education is emphasized, researchers are not clear about whether students perceive connections between the subjects on the one hand and subject-specific working methods and content in integrated lessons on the other. …”
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Automatic PLC Control Logic Generation Method Based on SysML System Design Model by Bo Ling, Changyong Chu, Chuan Xu

“…Thirdly, a novel mapping algorithm was proposed to generate a PLC program based on system design models. …”
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Optimal Dispatch of a Virtual Power Plant Considering Distributed Energy Resources Under Uncertainty by Obed N. Onsomu, Erman Terciyanlı, Bülent Yeşilata

“…The varying characteristics of grid-connected energy resources necessitate a clear and effective approach for managing and scheduling generation units. …”
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Visual–Tactile Fusion and SAC-Based Learning for Robot Peg-in-Hole Assembly in Uncertain Environments by Jiaxian Tang, Xiaogang Yuan, Shaodong Li

“…Furthermore, we enhance the robot’s assembly skill ability by using the Soft Actor–Critic (SAC) reinforcement learning algorithm, which allows the robot to adapt its actions to dynamic environments. …”
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Combined treatment of an infected paraurethral cyst by A. A. Kostin, L. V. Shaplygin, N. G. Kulchenkо, A. Mansur

“…With inflammation of the paraurethral cyst, there is still no clear treatment algorithm. In this article, we present an observation of a 29‑year‑old woman with signs of an infected paraurethral cyst. …”
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Ultrafast Laser Beam Profile Characterization in the Front-End of the ELI-NP Laser System Using Image Features and Machine Learning by Tayyab Imran

“…These diagnostics are supported by visual plots and statistical summaries, offering a clear picture of the beam’s behavior under real operating conditions. …”
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Local Outlier Detection Method Based on Improved K-means by Yu ZHOU, Hao XIA, Xuezhen YUE, Peichong WANG

“…A local outlier detection method, named KLOD (local outlier detection based on improved K-means and least squares methods), is developed to achieve precise detection of local outliers.Methods The K-means clustering algorithm is characterized by hard clustering, meaning that after clustering the dataset, each data point has a clear association with one cluster or another. …”
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Enhanced Particle Swarm Optimization-Based Feeder Reconfiguration Considering Uncertain Large Photovoltaic Powers and Demands by Ying-Yi Hong, Faa-Jeng Lin, Fu-Yuan Hsu

“…Photovoltaic (PV) arrays provide clear and sustainable renewable energy to electric power systems. …”
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NeuroAdaptiveNet: A Reconfigurable FPGA-Based Neural Network System with Dynamic Model Selection by Achraf El Bouazzaoui, Omar Mouhib, Abdelkader Hadjoudja

“…These gains illustrate the clear advantage of real-time, per-input reconfiguration over static designs. …”
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Quantum-enhanced Markov chain Monte Carlo for systems larger than a quantum computer by Stuart Ferguson, Petros Wallden

“…Quantum computers theoretically promise computational advantages in many tasks, but it is much less clear how such advantages can be maintained when using existing and near-term hardware that has limitations in the number and quality of its qubits. …”
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Some Experiments in Extreme‐Value Statistical Modeling of Magnetic Superstorm Intensities by Jeffrey J. Love

“…Lognormal, upper limit lognormal, generalized Pareto, and generalized extreme‐value model distributions are fitted to the −Dstm data using a maximum‐likelihood algorithm. All four candidate models provide good representations of the data. …”
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Nonlinear dynamics of the media addiction model using the fractal-fractional derivative technique by Saima Rashid, Rehana Ashraf, Ebenezer Bonyah

“…This study investigates clear and concise transmission in order to generate a deterministic mathematical model of social media addiction SMA using the fractal-fractional (FF) derivative operator. …”
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Applied Koopman Theory for Partial Differential Equations and Data-Driven Modeling of Spatio-Temporal Systems by J. Nathan Kutz, J. L. Proctor, S. L. Brunton

“…Further, we show that the clear goal in selecting observables is to place the DMD eigenvalues on the imaginary axis, thus giving an objective function for observable selection. …”
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Subpixel stacking and detection of blurred star images observed by an astroinertial attitude sensor against the background of the daytime sky by N.N. Vasilyuk

“…This problem is relatively easy to solve if the image of the star field is obtained by a stationary camera observing a clear night sky. The difficulty arises when the stars are observed by the rotating camera against the background of the daytime sky. …”
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An adaptive processing model for large superalloy pipeline components by LUO Ziyan, QIN Xiansheng, WANG Zhanxi, LIU Weiwei, LI Shulu

“…Domestic and foreign scholars have conducted fruitful theoretical and experimental study of adaptive machining theory, curved surface path planning algorithms and model reconstruction methods. At present, the theoretical analysis methods for deformation analysis and error compensation in the adaptive machining of high-temperature alloys are not clear; The precise physical model reconstruction technology is not yet mature and engineering applications are not yet popularized. …”
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A science-based approach to classifying light vehicles in Europe: methodology and case studies by Lorenzo Laveneziana, Andres L. Marin, Dermot O’Brien, Matteo Prussi, Georgios Fontaras

“…The algorithm could assign up to 82% of the vehicles to the original segments. …”
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WT-HMFF: Wavelet Transform Convolution and Hierarchical Multi-Scale Feature Fusion Network for Detecting Infrared Small Targets by Siyu Li, Jingsi Huang, Qingwu Duan, Zheng Li

“…Small targets typically span only a handful of pixels, lacking distinct texture and clear structural details. For the past few years, deep learning has made big strides in the field of ISTD. …”
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PVLF: point-voxel local feature fusion for 3D detection by Haowei Zhao, Zhuolei Xiao

“…Abstract Significant progress on 3D object detection in point cloud has been made in the detection of large objects with clear shape and contour information, such as cars. …”
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