Reversible data hiding scheme based on enhanced image smoothness by Jinghan WANG, Hui ZHU, Helin LI, Hui LI, Xiaopeng YANG

“…With the prosperity of Internet technology and the popularity of social networks, reversible data hiding technology has been widely adopted in concealed information transmission of medical and military fields with its advantages on secret information recovery.Traditional reversible data hiding schemes mainly focus on the enhancement of embedding capacity and the reduction of the distortion rate of stego image, but pay less attention to the understanding of image details with the human eyes.Thus, it is difficult to resist hidden information detection methods.To solve the above challenge, a reversible data hiding algorithm was proposed, which ensured the visual quality of the stego image in the process of data hiding through the image visual smoothness enhancement.Specifically, the original image was divided into reference area and non-reference area.The secret data was embedded through the translation of the difference, which was calculated according to the predicted pixel value and the original pixel value of the non-reference area.To guarantee the visual quality of the image, smoothing mechanism was constructed, in which a Gaussian filter was utilized as a template to filter the predicted value and to add the filter difference into the cover image without loss.The pixel value of the reference region was used as edge information for lossless restoration of the original image.The filtering coefficient in Gaussian function was exploited as the embedded key to ensure the security of secret information.Simulation results regarding a large number of classical image data sets illustrated that the visual smoothness of stego image processed by this scheme was effectively enhanced with lower distortion rate, higher embedding rate, and higher embedding and extraction efficiency.In a typical circumstance, the similarity between the generated stego image and the Gaussian filter image can reach 0.9963.The PSNR and the embedded capacity can be up to 37.346 and 0.3289 BPP, respectively.…”
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Performance Enhancement of a Solar Photovoltaic System with Differential Evolution-Optimized Quasi Sliding Mode Control by Rizki Habiba, Boufounas El-Mahjoub, El Amrani Aumeur, El Amraoui Mohamed, Bejjit Lahcen

“…This paper presents a novel approach to enhancing the performance of a solar photovoltaic (PV) system by integrating a Differential Evolution (DE) optimization algorithm into the design of a Quasi Sliding Mode Controller (QSMC). …”
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Improvement of crack tip position estimation in DIC images by image processing methods by Najat Zekriti, Fatima Majid, Hachimi Taoufik, Yassine Tounsi, Rajaa Rhanim, Ibrahim Mrani, Hassan Rhanim

“…However, the second procedure involves a developed algorithm detecting the discontinuity using digital image correlation (DIC) measurement. …”
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The impact of quantitative platform on candidacy for bronchoscopic lung volume reduction: a multi-center retrospective cohort study by Max Wayne, Suchitra Pilli, Hee Jae Choi, Nathaniel Moulton, Praveen Chenna, Allen Cole Burks, Alexander Chen

“…The recommendation to proceed with BLVR was based on a prespecified algorithm using criteria established in clinical trials for each quantitative platform, respectively. …”
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Measurement and assessment of human resources in information economy: substantive and methodological aspect by Krasova Elena

“…Based on the analysis results, the substantive part of the author’s methodology has been formed, which includes an improved methodological approach to assessing human resources of a country (region), as well as an assessment algorithm, a system of initial indicators and a set of calculated integral parameters corresponding to this approach. …”
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An Artificial Neural Network Model to Predict the Thermal Properties of Concrete Using Different Neurons and Activation Functions by Sehmus Fidan, Hasan Oktay, Suleyman Polat, Sarper Ozturk

“…Then, the Levenberg–Marquardt algorithm was used for training the neural network in the single hidden layer using 5, 10, 15, 20, and 25 neurons, respectively. …”
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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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Emergent Self‐Adaptation in an Integrated Photonic Neural Network for Backpropagation‐Free Learning by Alessio Lugnan, Samarth Aggarwal, Frank Brückerhoff‐Plückelmann, C. David Wright, Wolfram H. P. Pernice, Harish Bhaskaran, Peter Bienstman

“…Using a hierarchy of such arrays coupled to a backpropagation‐free training algorithm based on simple logistic regression, a performance of 98.2% is achieved on the MNIST task, a popular benchmark task looking at classification of written digits. …”
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EBR-YOLO: A Lightweight Detection Method for Non-Motorized Vehicles Based on Drone Aerial Images by Meijia Zhou, Xuefen Wan, Yi Yang, Jie Zhang, Siwen Li, Shubo Zhou, Xueqin Jiang

“…The experimental results show that the algorithm achieves an mAP of 98.9% and an FPS of 89.8 on the self-built dataset of this paper, which is only 0.2% and 0.3 lower compared to the original YOLOv8 network, respectively, and the number of parameters is 70% lower compared to the baseline, which ensures the accuracy and computational speed of the model while reducing its computational volume greatly. …”
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Aberration‐Corrected Holographic Optical Elements Based on Consistent Shapes of Printed Hogels by Jiwoon Yeom, Jung Beom Choi, Geun Seop Choi, Kwang‐Soon Choi, Jisoo Hong

“…The proposed HOE printer employs nonpixelated focus modulators composed of double 4f optics in reference and signal beam paths to record hogels with the consistent shapes, which is validated via the ray tracing simulation. An optimization algorithm is developed for aberration‐corrected HOEs, dedicated to the proposed printing system. …”
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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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Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation by Ning Dai, Xiaohan Hu, Kaixin Xu, Xudong Hu, Yanhong Yuan, Bo Cao, Luhong Shi

“…In the field of fabric defect detection, the development of algorithms has been hindered by issues such as poor quality and limited quantity of open-source datasets. …”
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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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FEATURES OF FORMING MARKETING OF AN ECO-ORIENTED ENTERPRISE by Nataliia Butko

“…The formation of environmental marketing at the enterprise is based on the algorithm of individual consecutive steps. It helps ensure the satisfaction of consumer needs maintaining environmental balance and public health. …”
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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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