Construction of an Intelligent Analysis Model for Website Information Based on Big Data and Cloud Computing Technology by Ronghua Chen, Bei Yang

“…Through the different levels of testing of various subsystems, the website delivery system meets the functional and nonfunctional requirements proposed by the network and on this basis realizes the use of group wisdom based on Pearson correlation coefficient, Cosine similarity, and Tanimoto coefficient for collaborative filtering website recommendation algorithm.…”
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Machine learning based prediction models for the prognosis of COVID-19 patients with DKA by Zhongyuan Xiang, Jingyi Hu, Shengfang Bu, Jin Ding, Xi Chen, Ziyang Li

“…We employed 5-fold cross-validation for model evaluation and used the Shapley Additive Explanations (SHAP) algorithm for result interpretation to ensure reliability. …”
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Smart Agricultural Pest Detection Using I-YOLOv10-SC: An Improved Object Detection Framework by Wenxia Yuan, Lingfang Lan, Jiayi Xu, Tingting Sun, Xinghua Wang, Qiaomei Wang, Jingnan Hu, Baijuan Wang

“…The experimental results show that compared with the original YOLOv10, the model generated by the improved algorithm improves the accuracy by 5.88 percentage points, the recall rate by 6.67 percentage points, the balance score by 6.27 percentage points, the mAP value by 4.26 percentage points, the bounding box loss by 18.75%, the classification loss by 27.27%, and the feature point loss by 8%. …”
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General Log-Linear Weibull Model Combining Vibration and Temperature Characteristics for Remaining Useful Life Prediction of Rolling Element Bearings by Mingzhu Lv, Shixun Liu, Xiaoming Su, Changzheng Chen

“…The best parameters are attained by employing the maximum likelihood estimation approach. The algorithm performance is checked with criteria like the root mean square error (RMSE) and the mean absolute percentage error (MAPE). …”
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Digital Health Technologies for Optimising Treatment and Rehabilitation Following Surgery: Device-Based Measurement of Sling Posture and Adherence by Joss Langford, Ahmed Barakat, Engy Daghash, Harvinder Singh, Alex V. Rowlands

“…The optimisation of an existing non-wear algorithm accurately detected adherence (99.3%). Conclusions: the remote monitoring of sling adherence and the quantification of immobilisation is practical and effective with digital health technology.…”
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An RGB-D-Based Cross-Field of View Pose Estimation System for a Free Flight Target in a Wind Tunnel by Sheng Liu, Yuan Feng, Kang Shen, Yangqing Wang, Shengyong Chen

“…Many experiments have been conducted, and an RGB-D image simulation based on 3D modeling is implemented to verify the effectiveness of our algorithm. Both the real scene’s and simulation scene’s experimental results demonstrate the effectiveness of our method.…”
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Layered energy equalization structure for series battery pack based on multiple optimal matching by Jianfang Jiao, Hongwei Wang, Feng Gao, Serdar Coskun, Guang Wang, Jiale Xie, Fei Feng

“…Combined with a multi-weighted optimal matching algorithm, aims to determine the optimal energy transfer path and reduce equalization losses. …”
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Three-Dimensional Dual-Energy Computed Tomography for Enhancing Stone/Stent Contrasting and Stone Visualization in Urolithiasis by El-Sayed H. Ibrahim, William E. Haley, Maria A. Jepperson, David D. Thiel, Michael J. Wehle, Joseph G. Cernigliaro

“…The use of dual-energy computed tomography (DECT) for evaluating urinary calculi has been appreciated due to the modality’s capability of differentiating between uric acid (UA) and non-UA stones, which are color coded based on a postprocessing algorithm. No other imaging modality or laboratory test is able to identify the stone composition without first attaining the stone material. …”
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Characteristics of the level of athletes' sports preparedness in freestyle wrestling by Bakytbek Konakbayev, Raisa Bekembetova, Omirzhan Bekturganov, Mukhtar Yeskaliyev, Dinara Zhunisbek

“…The obtained information allowed to determine the level of preparedness of athletes in freestyle wrestling, as well as the readiness to conduct the next competitive bout Conclusions: Comparative analysis of competitive activity has shown that it is necessary to correct the algorithm of modes of training processes. When conducting training of low aerobic power to perform the necessary volume while observing the individual mode as for the level of lactate and heart rate. …”
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A New Model for Locating Plate Recognition Devices to Minimize the Impact of the Uncertain Knowledge of the Routes on Traffic Estimation Results by Santos Sánchez-Cambronero, Fernando Álvarez-Bazo, Ana Rivas, Inmaculada Gallego

“…In this context, this paper proposes several practical contributions, in particular: (1) a traffic network design method aimed to use the plate scanning data to estimate traffic flows and (2) an algorithm for locating plate reader devices to reduce the effect of the uncertain knowledge of route enumeration. …”
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Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model by Venkatachalam Mohanasundaram, Balamurugan Rangaswamy

“…To address these challenges, this research introduces an innovative method that integrates Robust Seasonal-Trend Decomposition (RSTL) with an Adaptive Seagull Optimisation Algorithm (ASOA)-optimized Long Short-Term Memory (LSTM) neural network. …”
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GPA-MDS: A Visualization Approach to Investigate Genetic Architecture among Phenotypes Using GWAS Results by Wei Wei, Paula S. Ramos, Kelly J. Hunt, Bethany J. Wolf, Gary Hardiman, Dongjun Chung

“…In order to address this challenge, in this paper, we propose a novel approach, GPA-MDS, to visualize genetic relationships among phenotypes using the GPA algorithm and multidimensional scaling (MDS). This tool will help researchers to investigate common etiology among diseases, which can potentially lead to development of common treatments across diseases. …”
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Designing Channel Attention Fully Convolutional Networks with Neural Architecture Search for Customer Socio-Demographic Information Identification Using Smart Meter Data by Zhirui Luo, Qingqing Li, Ruobin Qi, Jun Zheng

“…Furthermore, we developed a search algorithm based on Bayesian optimization to effectively explore the space and identify high-performing architectures. …”
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Statistical analysis of regional STEC gradient trends for midlatitude ionosphere by Meltem Koroglu, Feza Arikan

“…The standard deviations of the gradient PDFs generally increase during night hours. The algorithm will form a basis for quantifying the stochastic variations of the spatial rate of change of TEC trends in midlatitude regions, thus supplementing reliable and accurate regional monitoring of ionospheric variability.…”
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A Modified Asymmetric Bouc–Wen Model-Based Decoupling Control of an XY Piezoactuated Compliant Platform with Coupled Hysteresis Characteristics by Xubin Zhou, Weidong Chen, Qing Xiao, Xiangsen Kong, Xingtian Liu, Liping Zhou, Yichong Dong, Quan Zhang

“…To establish the hysteresis characteristics of the piezo-driven manipulator, a modified Bouc–Wen model has been proposed, and a Genetic Algorithm-based Particle Swarm Optimization (GA-PSO) was adopted to recognize the parameters of the model. …”
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Effects of Climate Variability on Evaporation in Dongping Lake, China, during 2003–2010 by Yuan Rong, Hongbo Su, Renhua Zhang, Zheng Duan

“…Based on two long-term, hourly (10:30–11:30 and 13:10–14:10) meteorological over-lake observations and data from Shenxian meteorological station, nearby Dongping Lake, the Penman-Monteith equation and reference evaporation ratio algorithm were used to calculate lake evaporation in Dongping Lake, China, from 2003 to 2010. …”
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Soil-Landscape Modeling and Remote Sensing to Provide Spatial Representation of Soil Attributes for an Ethiopian Watershed by Nurhussen Mehammednur Seid, Birru Yitaferu, Kibebew Kibret, Feras Ziadat

“…The prediction model was favorably comparable with the interpolation using the inverse distance weighted algorithm. The use of satellite images improved the prediction. …”
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A Hybrid Approach Integrating Multiple ICEEMDANs, WOA, and RVFL Networks for Economic and Financial Time Series Forecasting by Jiang Wu, Tengfei Zhou, Taiyong Li

“…In this study, a novel multidecomposition and self-optimizing hybrid approach integrating multiple improved complete ensemble empirical mode decompositions with adaptive noise (ICEEMDANs), whale optimization algorithm (WOA), and random vector functional link (RVFL) neural networks, namely, MICEEMDAN-WOA-RVFL, is developed to predict economic and financial time series. …”
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Deepfake detection method based on patch-wise lighting inconsistency by Wenxuan WU, Wenbo ZHOU, Weiming ZHANG, Nenghai YU

“…The rapid development and widespread dissemination of deepfake techniques has caused increased concern.The malicious application of deepfake techniques also poses a potential threat to the society.Therefore, how to detect deepfake content has become a popular research topic.Most of the previous deepfake detection algorithms focused on capturing subtle forgery traces at pixel level and have achieved some results.However, most of the deepfake algorithms ignore the lighting information before and after generation, resulting in some lighting inconsistency between the original face and the forged face, which provided the possibility of using lighting inconsistency to detect deepfake.A corresponding algorithm was designed from two perspectives: introducing lighting inconsistency information and designing a network structure module for a specific task.For the introduction of lighting task, a new network structure was derived by designing the corresponding channel fusion method to provide more lighting inconsistency information to the network feature extraction layer.In order to ensure the portability of the network structure, the process of feature channel fusion was placed before the network extraction information, so that the proposed method can be fully planted to common deepfake detection networks.For the design of the network structure, a deepfake detection method was proposed for lighting inconsistency based on patch-similarity from two perspectives: network structure and loss function design.For the network structure, based on the characteristic of inconsistency between the forged image tampering region and the background region, the extracted features were chunked in the network feature layer and the feature layer similarity matrix was obtained by comparing the patch-wise cosine similarity to make the network focus more on the lighting inconsistency.On this basis, based on the feature layer similarity matching scheme, an independent ground truth and loss function was designed for this task in a targeted manner by comparing the input image with the untampered image of this image for patch-wise authenticity.It is demonstrated experimentally that the accuracy of the proposed method is significantly improved for deepfake detection compared with the baseline method.…”
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Geographic Information System-Based Framework for Sustainable Small and Medium-Sized Enterprise Logistics Operations by Jonathan Agoo, Renz Joshua Lanuza, Jonathan Lee, Paul Anthony Rivera, Neil Oliver Velasco, Marielet Guillermo, Arvin Fernando

“…A mobile application built on this framework was integrated with a waypoint order optimization algorithm considering an entire route that traverses all the required pick-up and delivery points. …”
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