A new approach of anomaly detection in wireless sensor networks using support vector data description by Zhen Feng, Jingqi Fu, Dajun Du, Fuqiang Li, Sizhou Sun

“…First, the strategy of training sample reduction is used to cut back the number of samples and then the sequential minimal optimization algorithm based on the second-order approximation is implemented on the sample set to achieve the goal of reducing the training time. …”
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Remote Minimally Invasive Surgery – Haptic Feedback and Selective Automation in Medical Robotics by Christoph Staub, Keita Ono, Hermann Mayer, Alois Knoll, Heinz Ulbrich, Robert Bauernschmitt

“…We propose a XFEM-based incision force prediction algorithm that simulates the incision contact-forces in real-time and compensates the delayed force sensor readings. …”
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TEACHING COMPUTATIONAL THINKING IN SAUDI ARABIAN SCHOOLS USING SMARTPHONE APPS by Abdullah Alenezi

“…Computational thinking, encompassing problem-solving, computational logic, and algorithmic thinking, is an essential skill in the modern world. …”
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Advanced retinal disease detection from OCT images using a hybrid squeeze and excitation enhanced model. by Gülcan Gencer, Kerem Gencer

“…<h4>Results</h4>The combined features from EfficientNetB0 and Xception are processed via fully connected layers and categorized using the Softmax algorithm. The methodology was tested on UCSD and Duke's OCT datasets and produced excellent results. …”
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Design of an Incremental Music Teaching and Assisted Therapy System Based on Artificial Intelligence Attention Mechanism by Dapeng Li, Xiaoguang Liu

“…In this paper, from algorithm design to experimental validation, both in terms of accuracy, the operational difficulty of the experiment, consumption of arithmetic power, and time cost, the unique superiority of the artificial intelligence attention-based combined with incremental music teaching adjunctive therapy system proposed in this paper can be seen in the MS lesion segmentation task.…”
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Optimization of Bulk Cargo Terminal Unloading and Outbound Operations Based on a Deep Reinforcement Learning Framework by Haijiang Li, Jiapeng Zhao, Peng Jia, Hongdong Ou, Weili Zhao

“…Secondly, this study proposes an advanced solution methodology that employs a reinforcement learning technique integrating a Dueling Deep Q-Network and Double Deep Q-Network. This hybrid algorithm significantly enhances optimization performance and accelerates the learning process, thereby improving the efficiency of the solutions. …”
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An adaptive voltage reference based multi-objective line flow control methods for MMC-MTDC system by Yuanshi Zhang, Wenyan Qian, Yiwen Feng, Fei Zhang, Chenyi Zheng, Qinran Hu, Liwei Wang

“…A pre-evaluation method is proposed to choose appropriate control variables and accelerate the convergence of optimization algorithms. The effectiveness of the proposed approach is validated through comparisons with several algorithms. …”
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Fleet Management for HDVs and CAVs on Highway in Dense Fog Environment by Bowen Gong, Ruixin Wei, Dayong Wu, Ciyun Lin

“…As to improve the traffic flow throughput and driving safety in dense fog weather condition on highway, this paper uses a mathematical modeling method to study and control the fleet mixed with human-driven vehicles (HDVs) and connected automatic vehicles (CAVs) in dense fog environment on highway based on distributed model predictive control algorithm (DMPC), along with considering the car-following behavior of HDVs driver based on cellular automatic (CA) model. …”
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Numerical and Analytical Calculations for Modeling and Designing Drilling Wicks or Rotary Cutters Based of Functionally Graded Materials by Luc Leroy Mambou Ngueyep, Joseph Ndop, Elise Rose Atangana Nkene, Jean-Marie Bienvenu Ndjaka

“…The calculations performed have allowed finding an analytical solution which was compared with numerical solutions obtained by using the shooting method and the fourth-order Runge-Kutta algorithm. These analytical and numerical results have shown that the values of tangential stresses are greater than the radial stresses. …”
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The Evaluation of LSB Steganography on Image File Using 3DES and MD5 Key by Ilham Firman Ashari, Eko Dwi Nugroho, Dodi Devrian Andrianto, M. Asyroful Nur Maulana Yusuf, Makruf Alkarkhi

“…This study proposes the utilization of LSB (Least Significant Bit) steganography on image files employing the 3DES (Triple Data Encryption Standard) algorithm. The aim is to facilitate secure transmission and reception of data, including confidential messages, within digital information media. …”
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Experimental Characterisation of the Interfacial Structure during Counter-Current Flow Limitation in a Model of the Hot Leg of a PWR by Christophe Vallée, Toshifumi Nariai, Takashi Futatsugi, Akio Tomiyama, Dirk Lucas, Michio Murase

“…The structure of the interface was observed from the side of the channel test section using a high-speed video camera. An algorithm was developed to recognise the stratified interface in the camera frames after background subtraction. …”
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Fast Detection of Deceptive Reviews by Combining the Time Series and Machine Learning by Minjuan Zhong, Zhenjin Li, Shengzong Liu, Bo Yang, Rui Tan, Xilong Qu

“…Secondly, a co-training two-view semisupervised learning algorithm was performed in each captured interval, in which linguistic cues, metadata, and user purchase behaviors were synthetically employed to classify the reviews and check whether they are spam ones or not. …”
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Advanced Text Summarization Model Incorporating NLP Techniques and Feature-Based Scoring by Estabraq Abdulreda Kadhim, Mohammad-Reza Feizi-Derakhshi, Hadi S. Aghdasi

“…This study&#x2019;s summarization algorithm was tested using the CNN, XSum and BBC Summarization datasets, which aggregate documents from different areas. …”
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Recent Progress about Flight Delay under Complex Network by Tang Zhixing, Huang Shan, Han Songchen

“…This may be achieved by analyzing flight delay in frequency domain instead of time domain. (4) Summation of most critical nodes/edges may not be the most crucial group to network resilience or flight delay propagations. Effective algorithm for most influential sequence is to be developed.…”
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Assessing Hydropower Potential in Nepal’s Sunkoshi River Basin: An Integrated GIS and SWAT Hydrological Modeling Approach by Rinki Bhattarai, Binaya Kumar Mishra, Deepa Bhattarai, Dipendra Khatiwada, Pankaj Kumar, Gowhar Meraj

“…The Sequential Uncertainty Fitting Version 2 (SUFI-2) algorithm, integrated within the SWAT Calibration and Uncertainty Program (SWAT-CUP), was employed to calibrate and validate the model. …”
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Retinal Fundus Image Enhancement Using the Normalized Convolution and Noise Removing by Peishan Dai, Hanwei Sheng, Jianmei Zhang, Ling Li, Jing Wu, Min Fan

“…First, the original retinal fundus image was processed by the normalized convolution algorithm with a domain transform to obtain an image with the basic information of the background. …”
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Optimal Bus-Bridging Service under a Metro Station Disruption by Haodong Yin, Jianjun Wu, Huijun Sun, Yunchao Qu, Xin Yang, Bo Wang

“…Two main contributions are made: (1) a three-layer discrete choice behavior model is developed to analyze the dynamic passenger flow demand under station disruption; and (2) an integrated algorithm is designed to manage and control the station disruption crisis by providing additional bus-bridging services with the objective of minimizing the total travel time of affected passengers and the operating cost of bridging-buses. …”
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Testing convolutional neural network based deep learning systems: a statistical metamorphic approach by Faqeer ur Rehman, Clemente Izurieta

“…Furthermore, we also propose an MRs minimization algorithm for the CUT, thus saving computational costs and organizational testing resources.…”
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Using the clustering method to find the final environmental parameters coefficients in road construction projects by Eshagh Rasouli Sarabi, Ramin Vafaei Poursorkhabi, Mehdi Ravanshadnia

“…In the first phase, the Genetic Optimization Algorithm was implemented to determine convenient coefficients for the relevant parameters. …”
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Effects of Regional Trade Agreement to Local and Global Trade Purity Relationships by Siyu Huang, Wensha Gou, Hongbo Cai, Xiaomeng Li, Qinghua Chen

“…Here, we separate the influence of geographical distance, economic volume, and overall increase in transportation and labor costs and use the expectation maximization algorithm to optimize the parameters and quantify the trade purity indicator, which describes the true global trade environment and relationships among countries. …”
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