Network security traffic detection and legal supervision based on adaptive metric learning algorithm by Liu Zhen

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Effects of tissue type and season on the detection of regulated sugarcane viruses by high throughput sequencing by Stephen Bolus, Kate Wathen-Dunn, Samuel C. Grinstead, Xiaojun Hu, Martha Malapi, Dimitre Mollov

“…However, the methodology and processing of HTS data must first be optimized and standardized to ensure the sensitivity and repeatability of the results. …”
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MassCube improves accuracy for metabolomics data processing from raw files to phenotype classifiers by Huaxu Yu, Jun Ding, Tong Shen, Min Liu, Yuanyue Li, Oliver Fiehn

“…MassCube outperforms MS-DIAL, MZmine3 or XCMS for speed, isomer detection, and accuracy. It supports diverse numerical routines for MS data analysis while maintaining efficiency, capable for handling 105 GB of Astral MS data on a laptop within 64 min, while other programs took 8–24 times longer. …”
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Ankle Brakhial Indext (ABI): a tools for detect peripheral arterial disease (PAD) by Riska Wahyuni, Nopi Nur Khasanah, Ahmad Ikhlasul Amal

“…In conclusion, ABI is a reliable, non-invasive diagnostic tool for early PAD detection in diabetic patients. Routine use of ABI in screening programs may help prevent further complications through early diagnosis and intervention, especially for patients with diabetes mellitus.…”
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Recent Development in Detection and Control of Psychrotrophic Bacteria in Dairy Production: Ensuring Milk Quality by Kidane Yalew, Xiaoyang Pang, Shixin Huang, Shuwen Zhang, Xianchao Yang, Ning Xie, Yunna Wang, Jiaping Lv, Xu Li

“…It highlights the ongoing challenges in the dairy industry caused by these microorganisms and discusses future perspectives in enhancing milk quality through innovative rapid detection methods and stringent processing controls. …”
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Defect detection in photolithographic patterns using deep learning models trained on synthetic data by Prashant P. Shinde, Priyadarshini P. Pai, Shashishekar P. Adiga, K. Subramanya Mayya, Yongbeom Seo, Myungsoo Hwang, Heeyoung Go, Changmin Park

“…In the photolithographic process vital to semiconductor manufacturing, various types of defects appear during EUV pattering. …”
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Deepfake-Driven Social Engineering: Threats, Detection Techniques, and Defensive Strategies in Corporate Environments by Kristoffer Torngaard Pedersen, Lauritz Pepke, Tobias Stærmose, Maria Papaioannou, Gaurav Choudhary, Nicola Dragoni

“…This model combines definitive policy direction, organizational preparedness, targeted employee training, and advanced AI detection tools. Additionally, it incorporates effective incident response plans with continuous improvement and simulations. …”
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Development of Multiplex qPCR Method for Accurate Detection of Enzyme-Producing Psychrotrophic Bacteria by Kidane Yalew, Shuwen Zhang, Solomon Gebreyowhans, Ning Xie, Yunna Wang, Jiaping Lv, Xu Li, Xiaoyang Pang

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A Data-Driven Approach for Fatigue Detection during Running Using Pedobarographic Measurements by Zixiang Gao, Liangliang Xiang, Gusztáv Fekete, Julien S. Baker, Zhuqing Mao, Yaodong Gu

“…Background. Detecting fatigue at the early stages of a run could aid training programs in making adjustments, thereby reducing the heightened risk of injuries from overuse. …”
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Detection of Back Cover Material Defects Based on Convolutional Neural Network and TensorFlow by Sasa Ani Arnomo, Siti Fairuz Nurr Sadikan

“…Thus, it can increase the efficiency of the defect detection process in the back cover material…”
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System for PCB Defect Detection Using Visual Computing and Deep Learning for Production Optimization by Gabriel Gomes de Oliveira, Gabriel Caumo Vaz, Marcos Antonio Andrade, Yuzo Iano, Leandro Ronchini Ximenes, Rangel Arthur

“…This study presents a system based on traditional visual computing and new deep learning methods to detect defects in electronic devices during the manufacturing process. …”
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A Martingale Posterior-Based Fault Detection and Estimation Method for Electrical Systems of Industry by Chao Cheng, Weijun Wang, He Di, Xuedong Li, Haotong Lv, Zhiwei Wan

“…The improvement of information sciences promotes the utilization of data for process monitoring. As the core of modern automation, time-stamped signals are used to estimate the system state and construct the data-driven model. …”
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Detection of Plantaricin-Encoding Gene and Its Partial Purification in Lactobacillus plantarum BP102 by Elsa Mega Suryani, Yoga Dwi Jatmiko, Irfan Mustafa

“…This bacteriocin purification process should be further optimized to improve the bacteriocin activity that could be useful for food preservation.…”
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APPLICATION OF GPU-CUDA PARALLEL COMPUTING TO THE SMITH-WATERMAN ALGORITHM TO DETECT MUSIC PLAGIARISM by Alfredo Gormantara, Ferdianto Tangdililing, Sean Coonery Sumarta

“…However, the Smith-Waterman algorithm has a weakness, namely that the speed of this algorithm is relatively slow, so parallel computing is required to speed up the detection process. Parallel computing relies on the capabilities of multi-core GPUs that can be programmed using CUDA. …”
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Residual host cell proteins: sources, properties, detection methods and data acquisition modes by Yifan Yao, Yifan Yao, Xuemei Wen, Xuemei Wen, Hongjuan Pan, Hongjuan Pan, Ziwei Chen

“…The research in the future includes the development of more efficient sample pretreatment methods and data processing techniques to improve the sensitivity and accuracy of detection. …”
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Aircraft Skin Machine Learning-Based Defect Detection and Size Estimation in Visual Inspections by Angelos Plastropoulos, Kostas Bardis, George Yazigi, Nicolas P. Avdelidis, Mark Droznika

“…The proposed approach is to process the captured feedback using various deep learning architectures to achieve the highest performance defect detections. …”
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Hyperparameter tuned deep learning-driven medical image analysis for intracranial hemorrhage detection. by Naif Almakayeel, E Laxmi Lydia, Oleg Razzhivin, S Rama Sree, Mohammed Altaf Ahmed, Bibhuti Bhusan Dash, S P Siddique Ibrahim

“…The ICH detection process is accomplished by the ensemble classification process, comprising long short-term memory (LSTM), stacked autoencoder (SAE), and bidirectional LSTM (Bi-LSTM) networks. …”
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DETECTING URBAN SLUMS IN DKI JAKARTA: A KOTAKU DATA APPROACH WITH ENSEMBLE METHODS by Muhammad Muawwad MS, Rani Nooraeni, Ananda Galuh Intan Prasetya

“…The PUPR Ministry representing the Indonesian government is trying to overcome slum settlements in Indonesia by creating the Cities Without Slums (KOTAKU) program. The KOTAKU program provides relevant and detailed data on slum settlements in Indonesia. …”
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Optimizing survey conditions for Burmese python detection and removal using community science data by Kelly R. McCaffrey, Melissa A. Miller, Sergio A. Balaguera-Reina, Alexander S. Romer, Michael Kirkland, Amy Peters, Edward F. Metzger, LeRoy Rodgers, Frank J. Mazzotti

“…Consequently, programs exist which incentivize contractors to remove pythons. …”
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Concept of a geoinformation platform for landmines and other explosive objects detection and mapping with UAV by Mykhailo Popov, Sergey Stankevich, Sergey Mosov, Stanislav Dugin, Stanislav Golubov, Artem Andreiev, Artur Lysenko, Ievgen Saprykin

“…The landmine detection process uses information from the landmine signature database to verify suspicious objects. …”
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