Value Co-Creation for E-Government Services in Small Island Developing Nations: A Case Study by Wilford Gibson Lol, Krassie Petrova, Sarita Pais

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High-Performance On-Orbit Intelligent Computing and Real-Time Services for Remote Sensing Satellites Based on Large-Scale Computing Power in Space by Guoping Wang, Gang Wan, Zhijuan Su, Yang Wang, Yutong Jia, Gong Li, Shi Liang

“…The rapid advancement in Earth observation systems and satellite networks driven by commercial space has led to a significant increase in the number of remote sensing satellites, thereby establishing the groundwork for all-weather, continuous, cluster-collaborative observation. Following anti-irradiation hardening measures, low-cost commercial off-the-shelf (COTS) devices are effectively operated within intricate space environments, leading to substantial enhancements of the on-orbit computing capabilities of individual satellites. …”
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Joint Task Offloading and Power Allocation for Satellite Edge Computing Networks by Yuxuan Li, Shibing Zhu, Ting Xiong, Yuwei Li, Qi Su, Jianmei Dai

“…In this paper, we consider a scenario of multi-satellite collaborative offloading. We mainly focus on computation offloading in the satellite edge computing network (SECN) by jointly considering the transmission power and task assignment ratios. …”
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STRATEGY OF DATA INTEGRITY CONTROL FOR SYSTEM WIDE INFORMATION MANAGEMENT CONCEPT by L. E. Rudel'son, S. N. Smorodskiy, A. S. Stepanenko

“…An optimal strategy for the algorithm application has been constructed (by the criterion of computational resource expenses).…”
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Can flexible ureteroscopy using flexible and navigable suction ureteral access sheath (FANS-UAS) minimize postoperative double J stent placement? Results from a propensity score-ma... by Daniele Castellani, Bhaskar Kumar Somani, Khi Yung Fong, Steffi Kar Kei Yuen, Chin Tiong Heng, Mohamed Elshazly, Karl Tan, Thomas R. W. Herrmann, Olivier Traxer, Vineet Gauhar

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Research on the integrated "cloud-edge-end" intelligent and precise management and control technology system for coal mine disasters by LIU Yubing, LI Yiteng, LI Zhonghui, YIN Shan, JING Chao, LI Kai, LI Zhenxing, ZHAO Shenglei, LIU Chengfei

“…Additionally, a coalface collaborative management and control technology driven by edge computing was developed. …”
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Street Smart in 5G: Vehicular Applications, Communication, and Computing by Ahmad Yousef Alhilal, Benjamin Finley, Tristan Braud, Dongzhe Su, Pan Hui

“…Specifically, vehicles, roadside units, and other road users can collaborate to deliver novel services and applications that leverage, for example, big vehicular data and machine learning. …”
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Scientometric analysis of computational calculations on hydrogen adsorption by D.A. Torres-Ceron, S. Amaya-Roncancio, F. Fuentes-Gandara, E. Restrepo-Parra, L. Bohorquez-Santiago, J.P. Velasquez-Tamayo

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Cloud native robot system based on edge computing by Dawei WANG, Zhuo WANG, Peng WANG, Zhigang WANG, Haitao WANG

“…With the rapid development of artificial intelligence,the global robot market continues to grow quickly,and the capabilities of robots have evolved from performing fixed operations to the ability to autonomously sense,understand and make decisions.However,to achieve large-scale application of robots,robots need to have powerful computing capabilities and low deployment costs under the constraints of limited power consumption.Using edge computing to provide more cost-effective services,enhance the computing power of the robot body,and achieve large-scale deployment is the key to achieving this goal.The challenges faced by robot systems with the edge enhancement were analyzed,the concept of cloud-native robot systems based on edge computing was proposed,and four feasible technical solutions for implementing the system were discusses.The cloud-native robot system is the inevitable direction for the development of robot systems from intelligent systems based on robot ontology to cloud-edge-end fusion multi-robot collaborative intelligent systems and the key technology for promoting the large-scale application of robots.…”
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Survey of information notification technology in computing power networks by WEI Min, ZHAO Qianying, TANG Jing, GAO Ruihan, PAN Yuchen, WANG Nianrui, ZHANG Xing

“…The new architecture fully considered the trends of expanded notification scope and heterogeneous computing power collaboration in future networks, which can effectively promote the wide application of computing power networks in future networks.…”
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AFFECTIVE COMPUTING AND AUGMENTED REALITY FOR CAR DRIVING SIMULATORS by Dragoș Datcu, Leon Rothkrantz

“…Augmented Reality (AR) is the technology that enables virtual images to be overlaid on views of the real world. Affective Computing (AC) is the technology that helps reading emotions by means of computer systems, by analyzing body gestures, facial expressions, speech and physiological signals. …”
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Power Terminal Lightweight Authentication Protocol for Edge Computing by Jinxiang YANG, Yonggang PENG, Tiantian CAI, Wei XI, Qingtang DENG

“…Edge computing effectively relieves the computing pressure of cloud platform and reduces the consumption of network transmission bandwidth, but it brings new security problems as well, the traditional authentication mechanism no longer applies to “cloud-edge-end” network architecture. …”
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A Mobile Computing Framework for Pervasive Adaptive Platforms by Olivier Brousse, Jérémie Guillot, Gilles Sassatelli, Thierry Gil, François Grize, Michel Robert

“…Ubiquitous computing is now the new computing trend, such systems that interact with their environment require self-adaptability. …”
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GeoAI enabled urban computing: status and challenges by Feng Lu, Shifen Cheng, Peixiao Wang

“…Finally, we concluded key challenges in GeoAI-enabled urban computing, emphasizing the integration of deep learning and knowledge graph, interdisciplinary collaboration for intelligent solutions, risk mitigation of deceptive spatiotemporal data, and the incorporation of human-centric principles in GeoAI technologies.…”
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Mobile phone data for anticipating displacements: practices, opportunities, and challenges by Bilgeçağ Aydoğdu, Özge Bilgili, Subhi Güneş, Albert Ali Salah

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Perception and Computation for Speed and Separation Monitoring Architectures by Odysseus Adamides, Karthik Subramanian, Sarthak Arora, Ferat Sahin

“…Human–Robot Collaboration (HRC) has been a significant research topic within the Industry 4.0 movement over the past decade. …”
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Metabolic nanoscopy enhanced by experimental and computational approaches by Hongje Jang, Shuang Wu, Yajuan Li, Zhi Li, Lingyan Shi

“…The techniques to visualize the distributions of multiple molecules in biological samples from experimental techniques to computational approaches are reviewed. By summarizing the techniques, the future direction of collaborative research of the techniques is highlighted to show the nanoscopic chemical details of biological samples.…”
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Computer-Aided Evaluation of Interstitial Lung Diseases by Davide Colombi, Maurizio Marvisi, Sara Ramponi, Laura Balzarini, Chiara Mancini, Gianluca Milanese, Mario Silva, Nicola Sverzellati, Mario Uccelli, Francesco Ferrozzi

“…To step forward and implement in daily practice such tools, more collaboration is required to collect more homogeneous clinical and radiological data; furthermore, more robust, prospective trials, with the new AI-derived biomarkers compared with each other, are needed to demonstrate the real reliability of the computer-aided evaluation of ILDs.…”
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Spontaneous Ad Hoc Mobile Cloud Computing Network by Raquel Lacuesta, Jaime Lloret, Sandra Sendra, Lourdes Peñalver

“…Cloud computing helps users and companies to share computing resources instead of having local servers or personal devices to handle the applications. …”
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Ten challenges and opportunities in computational immuno-oncology by Hong Zhang, Riyue Bao, Song Liu, Mark Long, Sacha Gnjatic, Yi Xing, Elana J Fertig, Alan Hutson, Martin Morgan, Eytan Ruppin, Anant Madabhushi, Natalie Vokes, Daoud Meerzaman, Edgar Gonzalez-Kozlova, Vanessa D Jonsson, Eliezer M Van Allen, Spencer R Rosario, Jennifer Altreuter, Himangi Marathe, Jill S Barnholtz-Sloan, Lyndsay Harris, Qingrong Chen, James Dignam, Andrew J Gentles, Erika Kim, David Van Valen

“…In this review, we outline 10 critical challenges and opportunities in computational immuno-oncology, emphasizing the importance of robust computational strategies and interdisciplinary collaborations amid the constantly evolving interplay between clinical needs and technological innovation.…”
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