A Machine Learning Approach for User Behavior Analysis in Developing Websites by Aeesha Shaheen

“…Neural networks trained use back propagation algorithm with sigmoid activation function. The dataset uses for training consist of an encoded sequence of pages and corresponding labels of user behavior. …”
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A case study on the introduction of an advanced ship inspection method: Gross tonnage measurement 3D point clouds by Byung-Hwa Song, Bon-Yeong Park, Dong-Kun Lee

“…After post-processing, the enclosed volume was estimated using a convex hull algorithm and compared with GT values calculated under national standards. …”
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Power Efficient Clustering for Wireless Multimedia Sensor Network by Seng-Kyoun Jo, Muhammad Ikram, Ilgu Jung, Won Ryu, Jinsul Kim

“…We propose a resource and energy efficient distributed image compression algorithm that dynamically configures according to the energy levels and the forwarding strategy that is based on the entropy of the image. …”
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Extracting Realistic Pedestrian, Cycling, and Driving Street Networks from OpenStreetMap by J. P. Duque, M. A. Brovelli

“…This paper presents a methodology for extracting realistic and usable pedestrian, cycling, and driving street networks derived from OpenStreetMap (OSM) data. While OSM is a valuable source of information, it is not exempt from inconsistencies and errors, particularly affecting pedestrian and cycling networks, which can lead to inaccurate navigation or unsafe routes. …”
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Designing a Band for Vehicles’ Drivers Induced by Ultraviolet and Infrared Radiations by Nouf Jubran AlQahtani, Amnah Nabil Bukair, Ghada Naje Alessa, Hoor Fayez AlDushaishi, Syed Mehmood Ali

“…A novel skin type classification algorithm using a color sensor was created to provide an accurate skin type identification. …”
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Research on Active Anti-Slip Control of High-Speed Trains Based on High-Order Sliding Mode by Song Wang, Buzou Zhang, Yixuan Wang, Shuai Cao

“…The simulator loads the adhesion model, while the DSP controller executes the designed anti-slip control algorithm. …”
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Amplitude-aware symbolic transfer entropy for heart–brain coupling analysis across sleep stages by Shumei Zhu, Weiyuan Sun, Min Xie, Zhen Tong, Jun Wang

“…Furthermore, sleep depth significantly impacts heart–brain information coupling, with interactions gradually weakening as sleep deepens, while the central brain regions (C3, C4) play a crucial role in reflecting these changes. …”
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Cooperative Identification of Prolonged Motor Movement From EEG for BCI Without Feedback by Alicia Falcon-Caro, Joao Filipe Ferreira, Saeid Sanei

“…This technique can perform satisfactory classification even in the presence of small data sizes while, unlike many regressors, maintaining a low computational cost. …”
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Endocannabinoid Signaling Regulates Sleep Stability. by Matthew J Pava, Alexandros Makriyannis, David M Lovinger

“…The magnitude of the effects produced by JZL184 and AM281 were dependent on the time of day this drug was administered. While activation of CB1 resulted in only a slight reduction in gamma power, CB1 blockade had dramatic effects on broadband power in the EEG, particularly at low frequencies. …”
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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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Utilization of remote sensing and GIS approach for surface water monitoring in the Najaf Sea, Al-Najaf providence, Iraq: An overview by Husham Abdulkareem, Al-hadithi Mufid, Mozihim Rana

“…Hydrological simulations were performed using the SWAT model, while climate classification methods analyzed regional climate characteristics. …”
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A Novel Method for Diagnosing Heart Diseases Based on Internet of Things by Samir Paul

“…The system integrates sensors to measure key parameters like heart rate, blood pressure, and pulse, which are processed through a fuzzy logic algorithm. By categorizing heart rates into slow, fast, or normal states, the system enables accurate diagnosis of normal and pathological conditions. …”
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A Combination of Hill Cipher and LSB for Image Security by Ibnu Utomo Wahyu Mulyono, Ajib Susanto, Muhamad Rizky Fajar Febrian, Ghaitsa Ardelia Rosyida

“…The Least Significant Bit (LSB) method is used to insert the ciphertext that has been generated from the hill cipher algorithm, has been testing using RGB, CMY, CMYK and YUV shapes with 6142 characters in 128 x 128 character images producing the highest PSNR value of 51.2826 dB in CMYK images. …”
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APPLICATION OF DBSCAN FOR CLUSTERING SOCIETY BASED ON WASTE MANAGEMENT BEHAVIOR by Hafizh Syihabuddin Al Jauhar, Solimun Solimun, Rahma Fitriani

“…As a solution, the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm is applied, which allows the clustering of objects based on local density and detects the presence of noise or outliers in the data. …”
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Strategic Deployment of a Single Mobile Weather Radar for the Enhancement of Meteorological Observation: A Coverage-Based Location Problem by Bikram Parajuli, Xin Feng

“…The proposed location problem is solved optimally using the geometric branch-and-bound algorithm and heuristically using swarm-based optimization algorithms. …”
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Accuracy Assessment of Tomato Harvest Working Time Predictions from Panoramic Cultivation Images by Hiroki Naito, Tomohiko Ota, Kota Shimomoto, Fumiki Hosoi, Tokihiro Fukatsu

“…The system integrates a deep learning model, the Mask ResNet-50 convolutional neural network, to count harvestable fruits from images and a predictive algorithm to estimate working time based on the fruit count. …”
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Road-Adaptive Precise Path Tracking Based on Reinforcement Learning Method by Bingheng Han, Jinhong Sun

“…This design ensures that the autonomous vehicle can not only quickly and accurately track the path, but also effectively avoid surrounding obstacles, while keeping the motor running in the high-efficiency range, thereby reducing energy loss. …”
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Piecewise Trend Approximation: A Ratio-Based Time Series Representation by Jingpei Dan, Weiren Shi, Fangyan Dong, Kaoru Hirota

“…PTA represents time series in concise form while retaining main trends in original time series; the dimensionality of original data is therefore reduced, and the key features are maintained. …”
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3E multi-objective optimization of Organic Rankine Cycle configurations for a geothermal off-grid system: Power, DHW, and hydrogen production by A. Mokhtari, M. Jalalvand

“…The optimization process utilized the Non-Dominated Sorting Genetic Algorithm II (NSGA-II), aiming to maximize energy and exergy efficiency, hydrogen production, and minimize levelized costs of electricity (LCOE) and hydrogen (LCOH), while ensuring that electrical and DHW demands are met. …”
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Wind Turbine Stall‐Induced Aeroelastic Instability Mitigation Using Vortex Generators by Qingshen Meng, Chao Chen, Xugang Hua, Wei Yu

“…The yaw misalignment angle range corresponding to the occurrence of edgewise instability is reduced by 29.69% (for NREL 5 MW wind turbine) and 22.95% (for IEA 15 MW wind turbine) while also decreasing limit cycle oscillation amplitudes. …”
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