A review of SAR tomography by Xin Zhao, Jie Dong, Yanghai Yu, Mingsheng Liao, Lu Zhang, Jianya Gong

“…Finally, how deep learning and multi-source data fusion enhance TomoSAR imaging and its applications is discussed. …”
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StaEn-IDS: An Explainable Stacking Ensemble Deep Neural Network-Based Intrusion Detection System for IoT by Monika Vishwakarma, Nishtha Kesswani

“…The demand for the Internet of Things (IoT) has increased exponentially because it connects devices, applications, and people, allowing smooth real-time communication and data sharing. …”
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Optimized memory allocation in edge-PLCs using Deep Q-Networks and bidirectional LSTM with Quantum Genetic Algorithm by N. Naveen Kumar, S. Saravana, S. Balamurugan, P. Seshu Kumar, S. Suresh

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Effects of smart garments on the well-being of athletes: a scoping review protocol by Abdullah Al Mahmud, Tharushi Indeewari Wickramarathne, Blair Kuys

“…Subsequently, the included articles will be further studied to extract data using a data extraction form. The extracted data will undergo a thematic analysis. …”
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Forward Predicting Chromatic-Optical Parameters of the Mixed Light of White-Red Light-Emitting Diode Configurations Based on Deep Learning Algorithms by Songsheng Lin, Huanting Chen, Yin Zheng, Quanji Xie, Xuehua Shen, Huichuan Lin, Shuo Lin, Yan Li

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CSRouter:router architecture for service extensibility by Gao-feng LV, Zhi-gang SUN, Yu-xian LIN, Yi-jiao CHEN, Tao LI

“…The development of network applications ,network end-end“channel”for data transmission impeded applications,network“platform”integrating computing and storing resource with routers is a considerable efficient means to enhance the efficiency of the network transport.System area network of routers based on high performance unified switching technology is introduced to connect forwarding elements,computing elements and storing elements.The prototype were designed and implemented based on the NetMagic platform of network innovation and the IEF switch system.The testing of packets caching proves that system area network provides high performance and high reliability network bandwidths between forwarding elements and computing elements,and the novel router architecture based on system area network could utilize additional computing and storing resources to process IP packet in depth to accelerate network applications.…”
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P735: Machine learning-guided GWAS in the Taiwan biobank reveals novel height-associated genes with possible epistatic interactions by Yu Min Syu, Chien-Yi Tung, Ya-Yuan Chang, Yi-Jia Liou, Shun-Chun Yang

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Comparison of Experimental and Calculated Ion Mobilities of Small Molecules in Air by Frank Gunzer

“…Examples are military applications, but also safety related applications, for example, for protection of employees in industries working with hazardous gases. …”
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Research on compatibility of high-performance network stack by Huiyou JIANG, Junfeng LI, Dan LI

“…The massive data processing in artificial intelligence system requires the support of high-throughput network.As a bridge between the upper artificial intelligence applications and the underlying high-speed hardware network adapter,the network stack plays a crucial role in the performance of the whole network system.Through detailed analysis and comparison of the compatibility of mainstream network stacks,it is found that the compatibility of various network stacks is generally low,which leads to difficulties in transplantation of artificial intelligence applications.The idea of achieving both high-compatibility and high-performance of user-level network stack were proposed.In this way,legacy applications could directly attain the improvement of performance without modification of the source code.Path for the subsequent development of network stack was lit up.…”
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An industrial internet business management platform that supports the cloud-native by Wenzhe WANG, Gang AN, Jian WU, Wendong ZHAO, Yangang WANG, Yunfeng ZHAO, Zixiang DI, Zhaojie GU, Guixiang ZOU

“…Aiming at the trend of industrial enterprises facing the evolution from the traditional business management information architecture to the cloud-native platform management, an evolutionary architecture of the transitional industrial internet business management platform was proposed, including platform base, management business domain, industrial business domain.Overall, the platform base, the management business domain, and the industrial business domain are vertically penetrated through the network to allow different levels of management business applications and industrial business applications to directly use related data.The platform realizes the sharing of integrated digital capabilities, intensification and integrated management and control, and facilitates the rapid replication and promotion of applications of industrial group enterprises and that similar subsidiaries at all levels.…”
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Research on compatibility of high-performance network stack by Huiyou JIANG, Junfeng LI, Dan LI

“…The massive data processing in artificial intelligence system requires the support of high-throughput network.As a bridge between the upper artificial intelligence applications and the underlying high-speed hardware network adapter,the network stack plays a crucial role in the performance of the whole network system.Through detailed analysis and comparison of the compatibility of mainstream network stacks,it is found that the compatibility of various network stacks is generally low,which leads to difficulties in transplantation of artificial intelligence applications.The idea of achieving both high-compatibility and high-performance of user-level network stack were proposed.In this way,legacy applications could directly attain the improvement of performance without modification of the source code.Path for the subsequent development of network stack was lit up.…”
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Generative modeling of the Circle of Willis using 3D-StyleGAN by Orhun Utku Aydin, Adam Hilbert, Alexander Koch, Felix Lohrke, Jana Rieger, Satoru Tanioka, Dietmar Frey

“…The addition of synthetic data to a baseline training set improved segmentation performance in underrepresented artery segments, similar to the addition of real data.In conclusion, generative modeling of the Circle of Willis via synthesis of 3D TOF MRA data paves the way for generalizable deep learning applications in cerebrovascular disease. …”
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A Review of Research on Fruit and Vegetable Picking Robots Based on Deep Learning by Yarong Tan, Xin Liu, Jinmeng Zhang, Yigang Wang, Yanxiang Hu

“…However, most of the existing research has sporadically involved single application areas, such as object detection, classification, and path planning, and has not yet comprehensively sorted out the core applications of deep learning technology in fruit and vegetable picking robots, the current technological bottlenecks faced, and future development directions. …”
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Attack Surface Score for Software Systems by Yudeep Rajbhandari, Rokin Maharjan, Sakshi Shrestha, Tomas Cerny

“…Software attack surfaces define the external boundaries—entry points, communication channels, and sensitive data stores through which adversaries may compromise a system. …”
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Characterization of Jatropha curcas L. Protein Cast Films with respect to Packaging Relevant Properties by Gabriele Gofferje, Markus Schmid, Andreas Stäbler

“…The present study provides new data on the potential of Jatropha protein for packaging applications. …”
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Lightweight Block and Stream Cipher Algorithm: A Review by Suaad Ali Abead, Nada Hussein M. Ali

“… Most of the Internet of Things (IoT), cell phones, and Radio Frequency Identification (RFID) applications need high speed in the execution and processing of data. this is done by reducing, system energy consumption, latency, throughput, and processing time. …”
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There’s no app for that! perspectives on engaging diverse communities to promote equitable care by Jennifer Lane, Brittany Barber, Courtney Pennell, Kris Lane, Megan White, Noah Doucette

“…Engaging patients and communities in the development and evaluation of mHealth applications can optimize useability, user adherence, health outcomes, and transparency of how personal health data is used, stored, and transferred to commercial partners. …”
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Dynamic multi-criteria scheduling algorithm for smart home tasks in fog-cloud IoT systems by Ruchika Bhakhar, Rajender Singh Chhillar

“…This paper introduces the Dynamic Multi-Criteria Scheduling (DMCS) algorithm, designed to enhance task scheduling in fog-cloud computing environments for smart home applications. DMCS dynamically allocates tasks based on criteria such as computational complexity, urgency, and data size, ensuring that time-sensitive tasks are processed swiftly on fog nodes while resource-intensive computations are handled by cloud data centers. …”
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A Gbps Building-to-Building VLC Link Using Standard CMOS Avalanche Photodiodes by Bassem Fahs, Matthew Romanowicz, Mona M. Hella

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Causality, Machine Learning, and Feature Selection: A Survey by Asmae Lamsaf, Rui Carrilho, João C. Neves, Hugo Proença

“…Causality, which involves distinguishing between cause and effect, is essential for understanding complex relationships in data. This paper provides a review of causality in two key areas: causal discovery and causal inference. …”
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