Penerapan Deep Convolutional Generative Adversarial Network Untuk Menciptakan Data Sintesis Perilaku Pengemudi Dalam Berkendara by Michael Stephen Lui, Fitra Abdurrachman Bachtiar, Novanto Yudistira

“…Visual sensor can be used to detect driver activity inside vehicle. Visual sensor that uses deep learning method performs well. …”
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Clustering of unknown protocol messages based on format comparison by ZHANG Mingyuan, LIU Xiaolei, WU Xiaohu, ZHANG Xiaojian

“…In this paper, we propose an Unknown Protocol Packet Clustering MethodBased on Format Matching (CUPFC), which introduces the enhanced Barcos paradigm, defines Token Format Distance (TFD) and Message Format Distance (MFD) to represent the format similarity of Token and packets, and introduces Jaccard distance and an optimized sequence alignment algorithm to calculate them. …”
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LiDAR as a Geometric Prior: Enhancing Camera Pose Tracking Through High-Fidelity View Synthesis by Rafael Muñoz-Salinas, Jianheng Liu, Francisco J. Romero-Ramirez, Manuel J. Marín-Jiménez, Fu Zhang

“…We evaluate two distinct strategies: an Online Rendering and Tracking method that renders views on the fly, and an Offline Keypoint-Map Tracking method that precomputes a keypoint map for known trajectories, optimizing for computational efficiency. …”
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Can the Agent with Limited Information Solve Travelling Salesman Problem? by Tomoko Sakiyama, Ikuo Arizono

“…In our proposed algorithm, the agent cannot estimate tour lengths but detect only a few neighbor sites. Under the circumstances, the agent occasionally ignores the NN method (choosing the nearest site from current site) and chooses the other site far from current site. …”
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A Phos-tag-based approach reveals the extent of physiological endoplasmic reticulum stress. by Liu Yang, Zhen Xue, Yin He, Shengyi Sun, Hui Chen, Ling Qi

“…Despite its basic and clinical importance, the extent of ER stress inflicted by physiological and pathophysiological conditions remains difficult to quantitate, posing a huge obstacle that has hindered our further understanding of physiological UPR and its future therapeutic potential. Here we have optimized a Phos-tag-based system to detect the activation status of two proximal UPR sensors at the ER membrane. …”
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Studi Awal Deteksi COVID-19 Menggunakan Citra CT Berbasis Deep Learning by Windra Swastika

“…Specificity and sensitivity values were 100% and 85.71% for training using the SGD optimizer. …”
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Mapping Polyclonal HIV-1 Antibody Responses via Next-Generation Neutralization Fingerprinting. by Nicole A Doria-Rose, Han R Altae-Tran, Ryan S Roark, Stephen D Schmidt, Matthew S Sutton, Mark K Louder, Gwo-Yu Chuang, Robert T Bailer, Valerie Cortez, Rui Kong, Krisha McKee, Sijy O'Dell, Felicia Wang, Salim S Abdool Karim, James M Binley, Mark Connors, Barton F Haynes, Malcolm A Martin, David C Montefiori, Lynn Morris, Julie Overbaugh, Peter D Kwong, John R Mascola, Ivelin S Georgiev

“…Computational neutralization fingerprinting, NFP, is an efficient and accurate method for predicting the epitope specificities of polyclonal antibody responses to HIV-1 infection. …”
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Using Adjoint-Based Forecast Sensitivity to Observation to Evaluate a Wind Profiler Data Assimilation Strategy and the Impact of Data on Short-Term Forecasts by Cheng Wang, Xiang-Yu Huang, Min Chen, Yaodeng Chen, Jiqin Zhong, Jian Yin

“…The FSO method measures the impact of an individual observing system, which can be used to enrich the evaluation of data assimilation schemes, efficiently calculate the impacts of multisource observations, and contribute to future development in adaptive observation, observation quality control, and observation error optimization.…”
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Seven unique frequency profiles for scoring vigilance states in preclinical electrophysiological data by Freja Gam Østergaard, Martien J. H. Kas

“…When applying the new method to the neurexin-1α (Nrxn1α) gene deficient mouse, a model of synaptic dysfunction relevant to autism spectrum disorders, several genotype differences in the 24-h distribution of vigilance states were detected. …”
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Simultaneous Determination of Four Compounds in a Nelumbo nucifera Seed Embryo by HPLC-DAD by Gahee Ryu, Jin Bae Weon, Woo Seung Yang, Choong Je Ma

“…The four compounds showed good linear relationships (r2>0.96) over five different concentrations, and an average recovery of the method ranged from 96.27% to 108.78%. Through the analysis validation test and application of the method, the optimized conditions verified that it is efficient to isolate the compounds of N. nucifera seed embryos.…”
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Localization of Sensor Nodes in 3D Wireless Sensor Networks with a Single Anchor by an Improved Adaptive Artificial Bee Colony (iaABC) Algorithm by Dursun Ekmekci, Hüseyin Altınkaya

“…In terms of optimization, one of the core challenges in Wireless Sensor Networks is determining the locations of nodes. …”
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Evaluation of Theobroma cacao L. as a bioindicator for cadmium contamination through H2O2 electrochemical analysis by Lenys Fernández, Patricio Javier Espinoza-Montero, María José Gallegos-Lovato, Paulo Bustamante, Diego Bolaños-Méndez, Juan Diego Sampedro, Augusto Rodríguez, Andrea Ortega-Gallegos, Mónica Jadan

“…Moreover, H₂O₂ quantification via chronoamperometry demonstrated a rapid and effective method for detecting Cd-induced oxidative stress in plant systems. …”
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Bacterial single-cell RNA sequencing captures biofilm transcriptional heterogeneity and differential responses to immune pressure by Lee E. Korshoj, Tammy Kielian

“…Here, we present an optimized bacterial single-cell RNA sequencing method, BaSSSh-seq, to study Staphylococcus aureus diversity during biofilm growth and transcriptional adaptations following immune cell exposure. …”
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Posterior membranous tracheal injury during mckeown oesophagectomy. A case report with literature review by Theeran Kaur Gill, Guo Hou Loo, Guo Hou Loo, Guhan Muthkumaran, Nik Ritza Kosai, Nik Ritza Kosai

“…In cases where a full-thickness airway defect exceeds 2 cm and is detected intraoperatively, immediate primary repair is advised to optimize outcomes. …”
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Elevation Data Statistical Analysis and Maximum Likelihood Estimation-Based Vehicle Type Classification for 4D Millimeter-Wave Radar by Mengyuan Jing, Haiqing Liu, Fuyang Guo, Xiaolong Gong

“…Further, the data-driven parameter optimization on likelihood probabilities of different vehicle samples is performed using a large-scale elevation dataset, and an MLE-based vehicle classification method is presented for identifying small and large vehicles. …”
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A New Approach to Separate Haemodynamic Signals for Brain-Computer Interface Using Independent Component Analysis and Least Squares by Yan Zhang, Xin Liu, Chunling Yang, Kuanquan Wang, Jinwei Sun, Peter Rolfe

“…Least squares is used to optimize the reconstruction value for brain activity signal. …”
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Protocol update to: High-throughput scNMT protocol for multiomics profiling of single cells from mouse brain and pancreatic organoids by Santiago Cerrizuela, Oguzhan Kaya, Lukas P.M. Kremer, Andrea Sarvari, Tobias Ellinger, Jannes Straub, Jan Brunken, Andrés Sanz-Morejón, Aylin Korkmaz, Ana Martín-Villalba

“…Summary: Single-cell nucleosome, methylome, and transcriptome (scNMT) sequencing is a recently developed method that allows multiomics profiling of single cells. …”
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Managing and Predicting the Condition of Paved Road Network in Finland: Essential Technical Information by Anne Hämäläinen, Kalle Vaismaa, Pauli Kolisoja

“…For monitoring functional conditions, a new method for detecting defects must be introduced, with other measurable parameters being better managed. …”
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Adaptive Symmetry Self-Matching for 3D Point Cloud Completion of Occluded Tomato Fruits in Complex Canopy Environments by Wenqin Wang, Chengda Lin, Haiyu Shui, Ke Zhang, Ruifang Zhai

“…As a globally important cash crop, the optimization of tomato yield and quality is strategically significant for food security and sustainable agricultural development. …”
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Research on APF-Dijkstra Path Planning Fusion Algorithm Based on Steering Model and Volume Constraints by Xizheng Wang, Gang Li, Zijian Bian

“…Again, the three-point arc method based on the steering model is used to determine the location of the predicted points and to smooth the paths in real time while constraining the steering angle. …”
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