A Multi-Strategy Optimized Framework for Health Status Assessment of Air Compressors by Dali Hou, Xiaoran Wang

“…To address these issues, this paper proposes a novel algorithm based on multi-strategy optimization, using air compressors as the research subject. …”
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Back-propagation-assisted inverse design of structured light fields for given profiles of optical force by Zhao Xiaoshu, Lin Haoze, Chen Huajin, Zheng Hongxia, Ng Jack

“…It usually requires high dimensional optimization and involves lengthy calculations, thus remaining little studied despite decades of research on OF. We report here the first attempt to attack this inverse design problem. …”
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Active noise reduction system by Wojciech CIESIELKA

“…The ANR system was made on basis of finite impulse response filter and realised algorithms LMS or NLMS. The algorithms were implemented on the dSPACE card with floating-point processor TMS320C31. …”
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Application of Improved MDSMOTE and FC-SVM in Imbalanced Data Set Classification by WEN Xue-yan, ZHAO Li-ying, XU Ke-sheng, LU Guang

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Sharing Scheme of Electronic Medical Records for Air-conditioning Products Based on Blockchain Technology by Xu Chang, Chen Huanxin, Li Zhengfei, Han Linzhi, Zhu Bo, Gong Qijian

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A fluence map optimization in IMRT for head and neck cancer based on trapezoidal fuzzy numbers* by ام البنین بزرگ, علیرضا فخارزاده جهرمی, علی دلاور خلفی

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Symbolic Regression Method for Estimating Distance Between Two Coils of an Inductive Wireless Power Transfer System by Davide Milillo, Lorenzo Sabino, Rafiq Asghar, Francesco Riganti Fulginei

“…This dual advantage positions SR as a valuable method for optimizing WPT applications, paving the way for further research and development in this field.…”
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To Be competitive or not to be competitive: How performance goals shape human-AI and human-human collaboration by Spatola Nicolas

“…While these tools are used in both private and work contexts, less is known about how the motivational context surrounding algorithm use impacts reliance patterns. This research examined how competitive versus non-performance goals affect adherence to algorithmic versus human recommendation. …”
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An Integrated Capacity Allocation and Dynamic Pricing Model Designed for Air Cargo Transportation by Dilhan İlgün Ayhan, S. Emre Alptekin

“…In this study, CVaR and ANN models are used for capacity allocation, regression, and time series, and ANN models are used for demand forecasting, while the SARSA algorithm, one of the reinforcement learning algorithms, is used for dynamic pricing. …”
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CÁLCULO DE APROXIMACIÓN A LA RAIZ CUADRADA CON EL MÉTODO BABILÓNICO USANDO TRES PARADIGMAS DE PROGRAMACIÓN by Omar Iván Trejos Buriticá, Luis Eduardo Muñoz Guerrero

“…In this article an algorithmic solution to approximate the square root of a given number, based on the method used by theBabylonians, and using modern computational resources it arises. …”
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Unveiling Public Sentiment on Quarter Life Crisis: A Comparative Performance Evaluation of Support Vector Machine and Naïve Bayes Algorithms on Social Media X Data by Talitha Dwi Septyorini, Khothibul Umam, Maya Rini Handayani

“…This research contributes by providing empirical evidence regarding algorithm performance for sentiment analysis in mental health topics, offering recommendations for effective early detection strategies utilizing social media data.…”
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Enhancing crane and gate OCR efficiency at container terminal using a hybrid genetic algorithm and neural network model: case study of tangier med port by Hamza Garmouch, Otman Abdoun

“…To overcome such challenges, this study explores the application of Genetic Algorithms (GA) as an optimization technique to enhance OCR performance in container terminals. …”
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Hybrid Method between the Discrete Wavelets Translate Technique and the Chaos System Based by the Least Significant Bit Algorithm to Encrypt and Hide a Digital Video File by Hasan Ahmed

“…Thus it is possible to intercept information through different networks or access to computers, whether independent or connected with the network for the purpose of viewing its contents or stealing information or to tamper with, and in this light must ensure the protection, reliability and credibility of information and preservation of the emergence of various means of protection such as the use of encryption and techniques of hiding or coverage of information.<br /> This research is based on a hybrid method between the Discrete Wavelets Translate technique (DWT) and the Chaos system based on the Least Significant Bit algorithm (LSB) to encrypt and hide a digital video file within another digital video that represents the cover by inserting the digital video file and segmenting it into a set of frames and then analyze each frame to its colors (red, green and blue) and then study the color values ​​of each frame and the process of encryption based on the equation of the logistics function (chaotic functions), and the application of the Discrete Wavelets Translate technique on the color slides of the cover frame. …”
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An Improved Dynamic Matrix Control Algorithm and Its Application in Cold Helium Temperature Control of a Modular High-Temperature Gas-Cooled Reactor (mHTGR) by Zhendong Wu, Zhe Dong, Jilan Zhang

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Using Prediction Confidence Factors to Enhance Collaborative Filtering Recommendation Quality by Dionisis Margaris, Dimitris Spiliotopoulos, Kiriakos Sgardelis, Costas Vassilakis

“…Based on the application of the algorithm on widely used recommender systems datasets, the proposed algorithm significantly upgrades the recommendation quality, surpassing the performance of state-of-the-art research works that also consider confidence factors.…”
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Adaptive Sharding for UAV Networks: A Deep Reinforcement Learning Approach to Blockchain Optimization by Kaiyin Lu, Xinguang Zhang, Tianbo Zhai, Mengjie Zhou

“…This study presents a novel blockchain-based adaptive sharding framework specifically designed for UAV ecosystems. Our research extends beyond improving data transmission rates to encompass an enhanced Asynchronous Advantage Actor–Critic algorithm, tailored to address long-term optimization objectives in aerial networks. …”
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Telescopes Alignment Using the Sharpness Function Method Based on Undersampled Images by Min Li, Xin Liu, Ang Zhang, Hao Xian

“…In astronomy, the images are sometimes undersampled. In the previous research works, image reconstructions have to be employed to recover the lost information from a set of undersampled images to achieve a high-resolution image using dithering or drizzle methods, which increase the complexity of alignment processes and make the real-time correction impossible. …”
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Image Sensor-Based Three-Dimensional Visible Light Positioning for Various Environments by Xiangyu Liu, Junqi Zhang, Song Song, Lei Guo

“…Research on image sensor (IS)-based visible light positioning systems has attracted widespread attention. …”
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A Spatial-Temporal Multi-Feature Network (STMF-Net) for Skeleton-Based Construction Worker Action Recognition by Yuanyuan Tian, Sen Lin, Hejun Xu, Guangchong Chen

“…Recently, advances in electronic technology and pose estimation algorithms have made it easier to obtain skeleton and joint trajectories of human bodies. …”
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Adjustable robust optimization with decision‐dependent uncertainty for power system problems: A review by Tao Tan, Meng Yang, Rui Xie, Yuji Cao, Yue Chen

“…Next, we summarize the state‐of‐the‐art solution algorithms for RO with DDU, such as variants of the column‐and‐constraint generation (C&CG) algorithm, variants of Benders decomposition, and multiparametric programming. …”
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