Optimal Dimensionality Reduction using Conditional Variational AutoEncoder by Sana Boussam, Mathieu Carbone, Benoît Gérard, Guénaël Renault, Gabriel Zaid

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Optimization of a genetically encoded fluorescent sensor for the detection of 5-HT by XU Mufan, ZHANG Kun, WANG Jingyi, GAO Xinke, CHENG Aobing, ZHANG Peng

“…Objective·To optimize iSeroSnFR, a genetically encoded 5-hydroxytryptamine (5-HT) fluorescent sensor based on bacterial periplasmic binding proteins (PBPs), to enhance its performance for both in vivo and in vitro 5-HT detection.Methods·iSeroSnFR1.2 was engineered by replacing the circularly permuted superfolder green fluorescence protein (cpsfGFP) sequence in iSeroSnFR1.0 with that from the acetylcholine sensor iAChSnFR using Gibson assembly. …”
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An In-Depth Comparative Study of Quantum-Classical Encoding Methods for Network Intrusion Detection by Adam Kadi, Aymene Selamnia, Zakaria Abou El Houda, Hajar Moudoud, Bouziane Brik, Lyes Khoukhi

“…This study presents an in-depth comparative analysis of quantum-classical data encoding techniques for QML-based IDS. …”
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Comparative evaluation of encoding techniques for workflow process remaining time prediction for cloud applications by Cong Liu, Wenjuan Liu, Na Guo, Rongjia Song, Yan Gu, Long Cheng, Qingtian Zeng

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Image cluster algorithm of hybrid encoding method by Chun-hui ZHAO, Xue-yuan LI, Ying CUI

“…In the clustering analysis based on swarm intelligence optimization algorithm,the most of encoding method only used single form,and this method might be limit range of search space,the algorithm was easy to fall into local op-timum.In order to solve this problem,image clustering algorithm of hybrid encoding (HEICA) was proposed.Firstly,a hybrid encoding model based on image clustering was established,this method could expand the scope of the search space.Meanwhile,it was combined with two optimization algorithms which improved rain forest algorithm (IRFA) and quantum particle swarm optimization (QPSO),this method could improve the global search capability.In the simulation experiment,it was carried out to illustrate the performance of the proposed method based on four datasets.Compared with results form four measured cluster algorithm.The experimental results show that the algorithm has strong global search capability,high stability and clustering effect.…”
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Enhanced Camera Relocalization Through Optimized Accelerated Coordinate Encoding Network and Pose Solver by Xinbo Chai, Zhen Yang, Xinrong Tan, Mengyang Zhu, Changbin Zhong, Jianping Shi

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Vanishing performance of the parity-encoded quantum approximate optimization algorithm applied to spin-glass models by Elisabeth Wybo, Martin Leib

“…The parity mapping provides a geometrically local encoding of the Quantum Approximate Optimization Algorithm (QAOA), at the expense of having a quadratic qubit overhead for all-to-all connected problems. …”
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Coverage optimization and node minimization in WSNs: an enhanced hybrid PSO approach with spatial position encoding by Yinghua Tong, Lianhai Lin, Liqin Tian, Zhigang Wang, Wenxing Wu, Junyi Wu

“…This paper presents an enhanced hybrid particle swarm optimization (EHPSO) algorithm that incorporates a spatial position encoding (SPE) strategy to optimize coverage while dynamically adjusting the number of sensors deployed in WSNs. …”
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A multi-population multi-objective maritime inventory routing optimization algorithm with three-level dynamic encoding by Tianyu Liu, Jiaping Liu, He Xu

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Hybrid transformer and convolution iteratively optimized pyramid network for brain large deformation image registration by Xinxin Cui, Yuee Zhou, Caihong Wei, Guodong Suo, Fengqing Jin, Jianlan Yang

“…Abstract In recent years, the pyramid-based encoder-decoder network architecture has become a popular solution to the problem of large deformation image registration due to its excellent multi-scale deformation field prediction ability. …”
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Development and Optimization of a Differential Signal-Based Fabry-Perot Interferometer for Nanopositioning by Syuan-Cheng Chang, Chung-Ping Chang, Yung-Cheng Wang

“…In this study, we present the optimization of a Fabry-Perot interferometer with a differential signal utilized as the laser encoder to meet the stringent demands of nanopositioning. …”
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Encoding local label correlations in multi-instance multi-label learning with an improved multi-objective particle swarm optimization by Xiang Bao, Fei Han, Qinghua Ling

“…Furthermore, the study reveals that proposed methods demonstrates enhanced effectiveness in MIML classification and optimizing SVM classifiers compared to conventional single and multi objective optimization approaches. …”
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Parameter estimation and speed control of real DC motor with low resolution encoder by Celal Onur Gökçe, Mahmut Esat İpek, Mehmet Dayıoğlu, Rıdvan Ünal

“…For parameter estimation, a popular iterative optimization algorithm, namely Particle Swarm Optimization (PSO), is used. …”
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Keyword-optimized template insertion for clinical note classification via prompt-based learning by Eugenia Alleva, Isotta Landi, Leslee J. Shaw, Erwin Böttinger, Ipek Ensari, Thomas J. Fuchs

“…Specifically, we compared STI with naïve tail-truncation (STI-s) and STI with keyword-optimized input truncation (STI-k). …”
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On the Utilization of Emoji Encoding and Data Preprocessing with a Combined CNN-LSTM Framework for Arabic Sentiment Analysis by Hussam Alawneh, Ahmad Hasasneh, Mohammed Maree

“…This approach is competitive with other state-of-the-art approaches, showing that emoji encoding enriches text by accurately reflecting emotions, and enabling investigation of the effect of data preprocessing, allowing the hybrid model to achieve comparable results to the study using the same ASTC dataset, thereby improving sentiment analysis accuracy.…”
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IoT enabled health monitoring system using rider optimization algorithm and joint process estimation by J. Prabin Jose, G. Jaffino, Mohammed Al Awadh, Koppula Srinivas Rao, Yan Yafang, Krishna Moorthy Sivalingam

“…In this work joint process estimator rider optimization algorithm (JPEROA) for Deep stack auto-encoder is proposed to perform the classification task. …”
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Image captioning deep learning model using ResNet50 encoder and hybrid LSTM–GRU decoder optimized with beam search by P. V. Kavitha, V. Karpagam

“…To mitigate these drawbacks, the envisioned work employs a ResNet50 encoder for image feature extraction and a Hybrid LSTM–GRU decoder optimized with Beam Search to produce text descriptions. …”
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Block encoding bosons by signal processing by Christopher F. Kane, Siddharth Hariprakash, Neel S. Modi, Michael Kreshchuk, Christian W Bauer

“…Block Encoding (BE) is a crucial subroutine in many modern quantum algorithms, including those with near-optimal scaling for simulating quantum many-body systems, which often rely on Quantum Signal Processing (QSP). …”
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An optimized chikungunya virus trans-amplifying RNA vaccine candidate induces potent immune responses with only 1 ng of antigen encoding RNA by Dr Christin Schmidt, Dr Florian Hastert, Dr Tim Beissert, Dr Ugur Sahin, Dr Mario Perkovic, Dr Barbara Schnierle

“…Methods: Our first-generation CHIKV vaccine candidate was based on trans-amplifying RNA (taRNA), consisting of two RNAs: a non-replicating mRNA encoding for the CHIKV nonstructural proteins, forming the replicase complex and a trans-replicon (TR) RNA encoding the CHIKV envelope proteins. …”
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A Cascade of Encoder–Decoder with Atrous Convolution and Ensemble Deep Convolutional Neural Networks for Tuberculosis Detection by Noppadol Maneerat, Athasart Narkthewan, Kazuhiko Hamamoto

“…Using the cropped lung images, we trained several pre-trained Deep Convolutional Neural Networks (DCNNs) on the images with hyperparameters optimized by a Bayesian algorithm. Different combinations of trained DCNNs were compared, and the combination with the maximum accuracy was retained as the winning combination. …”
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