Application of Deep Learning in Food Safety Detection and Risk Early Warning by DING Haohan, WANG Long, HOU Haoke, XIE Zhenqi, HAN Yu, CUI Xiaohui

“…Although deep learning performs well in improving the efficiency and accuracy of food safety detection, its practical application still faces challenges such as poor data quality, weak privacy protection capacity and lack of model interpretability. …”
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User Experience Evaluation of the Maxim Application using the HEART Metrics Method by Meriana Prihati Ningrum, Megawati Megawati, Eki Saputra, Mona Fronita

“…The rapid growth of online transportation applications has led to increasing user expectations for efficient, intuitive, and reliable user experiences (UX). …”
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Application of BiLSTM in Lithology Identification of Beach-Bar Sand Reservoir by CHEN Ganghua, ZHANG Yuxia, WANG Jun, ZHANG Huafeng, WANG Youwen

“…The model is applied to validate the well data of the test set, and the results showed that the accuracy of the model is 0.86, achieving good application results. …”
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TEACHERS' EXPERIENCES ON THE BLOOKET APPLICATION AS A LEARNING TOOL IN THE ENGLISH LANGUAGE by Nazry Nasyifa, Diah Safithri Armin

“…This study aimed to explore English teachers’ perspectives on using the Blooket application as a digital learning tool in a junior high school context in Medan, Indonesia. …”
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Navigating single-cell RNA-sequencing: protocols, tools, databases, and applications by Ankish Arya, Prabhat Tripathi, Nidhi Dubey, Imlimaong Aier, Pritish Kumar Varadwaj

“…However, despite all these advancements, scRNA-seq also experiences challenges related to the complexity of data analysis, interpretation, and multi-omics data integration. …”
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Design and Application Prospects of Zero-Trust Architecture for Near-Space Networks by Qiao Liu, Kunlong Wu, Jin Cao, Ziyi Gao, Hui Li

“…The near-space network transmits, processes, and stores a large amount of high-value, sensitive data, making its security protection crucial. This paper outlines the composition of the near-space network, its connections with other nodes, and potential network applications. …”
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The applications of CT with artificial intelligence in the prognostic model of idiopathic pulmonary fibrosis by Zeyu Chen, Zheng Lin, Zihan Lin, Qi Zhang, Haoyun Zhang, Haiwen Li, Qing Chang, Jianqi Sun, Feng Li

“…This review describes the status quo and future direction of AI applications in CT analysis for prognostic models of IPF. …”
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Factors affecting the citizen to use e-report application in Gunungkidul Regency by Muhammad IQBAL, Ulung PRIBADI, Yunita ELIANDA

“…The government must also guarantee that the security of personal data of service users is well preserved. by making improvements to these suggestions, E-Report application users in Gunungkidul will continue to grow …”
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Analysis of Digital Literacy Through the Quizizz Application in Civic Education Course by Ni Putu Candra Prastya Dewi, Gusti Agung Ayu Wulandari, Made Sri Astika Dewi, Ni Putu Juni Artini, I Gusti Ayu Putu Novita Sari Paragae, Putu Gede Asnawa Dikta

“…This study aimed to analyze digital literacy using an educational application named “Quizziz” in the Civic Education course. …”
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Research on the Application of Deep Learning Algorithm in the Damage Detection of Steel Structures by Qingyun Ge, Caimei Li, Fulian Yang

“…The model’s efficacy was further validated through real-world applications on diverse structures, including a 30-story office building, a cable-stayed bridge, and an offshore oil platform. …”
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Robust multisynchrosqueezing transform time frequency technologies with application to fault diagnosis by Haibin Wang, Junbo Long, Changshou Deng, Youxue Zhou

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Applications of machine learning in gravitational-wave research with current interferometric detectors by Elena Cuoco, Marco Cavaglià, Ik Siong Heng, David Keitel, Christopher Messenger

“…Furthermore, machine-learning tools for characterizing and cleaning data after it is taken have already become crucial tools for achieving the best sensitivity of the LIGO–Virgo–KAGRA network. …”
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Visible Light Communication for Underwater Applications: Principles, Challenges, and Future Prospects by Vindula L. Jayaweera, Chamodi Peiris, Dhanushika Darshani, Sampath Edirisinghe, Nishan Dharmaweera, Uditha Wijewardhana

“…Traditional methods like acoustic and radio frequency (RF) communication suffer from low data rates (<100 kbps), high latency (>1 s), and limited transmission distances (<10 km).Visible Light Communication (VLC) emerges as a promising alternative, offering high-speed data transmission (up to 5 Gbps), low latency (<1 ms), and immunity to electromagnetic interference. …”
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Potential therapeutic applications of stem cells in animal models of ocular affections by Taghreed A. Hassan, Yara S. Abouelela, Hamdy Rizk, Ayman Tolba

“…The data were obtained and analyzed. Results This review includes tables that show all types of stem cells that were used to treat ocular diseases, such as mesenchymal stem cells (MSCs), hematopoietic stem cells, neural stem cells, embryonic stem cells, and induced pluripotent stem cells. …”
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Application and Validation of AIRNET in Simulating Building Drainage Systems for Tall Buildings by Michael Gormley, Sarwar Mohammed, David A. Kelly, David P. Campbell

“…Data reflecting actual conditions were collected using the drainage test rig at the National Lift Tower (NLT) in Northampton. …”
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Lifestyle of Employees working in Hamadan Departments: An Application of the Trans-Theoretical Model by Jalal Abdi, Hassan Eftekhar, Mahmood Mahmoodi, Davood Shojayzadeh, Roya Sadeghi

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AIoT-Driven Human Activity Recognition for Versatile Framework on Multipurpose Applications by Nanik Triwahyuni, Eni Wardihani, Aminuddin Rizal, Samuel Beta, Ricky Sambora, Rindang Oktaviani

“… This paper presents the implementation of an AIoT-based Human Activity Recognition (HAR) framework designed for multipurpose applications. The framework integrates sensor data from wearable IoT devices, which is then processed by AI algorithms to classify and predict human activities in real-time. …”
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Comparative omics-driven genome annotation refinement: application across Yersiniae. by Alexandra C Schrimpe-Rutledge, Marcus B Jones, Sadhana Chauhan, Samuel O Purvine, James A Sanford, Matthew E Monroe, Heather M Brewer, Samuel H Payne, Charles Ansong, Bryan C Frank, Richard D Smith, Scott N Peterson, Vladimir L Motin, Joshua N Adkins

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Cancer genomics and bioinformatics in Latin American countries: applications, challenges, and perspectives by Erika Sofia Torres-Narvaez, Daniel Felipe Mendivelso-González, Juan Andrés Artunduaga-Alvarado, Oscar Ortega-Recalde, Oscar Ortega-Recalde

“…In this review, we aim to describe current clinical applications of NGS-based tests, focusing on their bioinformatics analyses and implementation in Latin America. …”
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Application of Machine Learning Models to Multi-Parameter Maximum Magnitude Prediction by Jingye Zhang, Ke Sun, Xiaoming Han, Ning Mao

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