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2024-03-04T12:37:11Z
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2024-09-18T08:24:38Z
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2024-09-27T08:37:05Z
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2024-06-03T14:23:13Z
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Daniel Tudball
2023-12-08T10:13:07Z
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News
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Daniel Tudball
2024-10-15T09:58:12Z
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2024-09-12T04:45:37Z
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Nach dem bunten Treiben von Fasching, Fasnacht und Karneval hat die Fastenzeit Einzug gehalten. Auch wir stehen kurz vor dem Ende des bunten, vielfältigen und facettenreichen Modellprojekts Inklusion jetzt! In den kommenden beiden Newslettern wollen wir Ihnen …
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Daniel Kieslinger, Judith Owsianowski
2024-03-28T11:20:51Z
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Abstract The α, β-unsaturated carboxylic acid motif stands out for its versatility and utility in constructing complex molecular structures, spanning pharmaceuticals to natural products. This review describes the published methods for the synthesis of alk-2-en…
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M. Durandetti, X. Franck
2024-10-02T22:33:21Z
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2024-07-22T08:00:31Z
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Юбилейные даты в истории любой страны — своеобразные вехи ее развития во времени, не только позволяющие напомнить о славных победах или извлечь уроки из неудач. Празднование юбилеев помогает глубже понять суть произошедших событий, духовные устремления и идеол…
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А.З. Жебин
2024-08-29T10:17:19Z
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Abstract Arenecarboxylic acid esters are prevalent motifs in pharmaceuticals, agrochemicals, polymers, and natural products. They are also versatile building blocks in organic synthesis. Traditionally, esters are prepared via activation of acids or acid anhydr…
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J. Ying, X.-F. Wu
2025-02-19T19:20:06Z
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2024-08-27T10:52:45Z
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2024-06-11T05:48:07Z
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2025-03-06T09:52:50Z
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İÇİNDEKİLER/BÖLÜMLER KORUYUCU VE ÖNLEYİCİ DİŞ HEKİMLİĞİNDE GÜNCEL YAKLAŞIMLAR 7 Elif Reyhan DURAK, Ayşegül İNAN YALÇINER ORTODONTİDE ÖNLEYİCİ YAKLAŞIMLAR 25 Nursezen KAVASOĞLU, Veysel ERATİLLA ERKEN ÇOCUKLUK ÇAĞI ÇÜRÜKLERİ 37 Çağla KURT, Tuğçe Nur ŞAHİN, Asu Ç…
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2024-10-25T16:51:03Z
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Abstract Methods for the synthesis of thiophenes and the less-common thiophene 1,1-dioxides are reviewed in this chapter, covering the period from 2011 to 2022. This is a supplement to both the original Science of Synthesis review (Section 9.10) that covered t…
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P. A. Harris
2025-02-19T19:20:06Z
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2024-09-12T11:53:01Z
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Janett Reinstädler
2024-05-29T07:20:28Z
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Werner Weidenfeld
2025-01-20T13:09:05Z
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Abstract Thiocarboxylic acid S-esters are synthetically versatile building blocks that can be smoothly interconverted into a wide array of valuable functional groups including aldehydes, ketones, carboxylic acids, and amides. This review, which is an update to…
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Z. Yang, K. Dong
2024-03-20T23:30:23Z
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2025-03-05T18:41:16Z
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2024-11-05T14:19:13Z
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2024-11-06T11:51:22Z
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News
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Daniel Tudball
2024-09-12T08:21:39Z
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2024-06-13T12:33:03Z
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2024-04-30T16:36:46Z
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Mit guten Wünschen für 2024 möchten wir Sie in diesem ersten Newsletter des Jahres auch weiterhin mit interessanten Inhalten rund um Inklusion begrüßen und weiterhin auf dem Laufenden halten. Das Jahr 2023 endete mit unterschiedlichen Abschlussveranstaltungen …
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Daniel Kieslinger, Judith Owsianowski
2024-02-15T11:40:51Z
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The collection contains materials of the reports of the scientific readings «Sedimentary rocks - 2024», held in 2024, dedicated to the 80-th anniversary of the founding of the «Sedimentary rocks» section of the Moscow Society of Naturalists (MSN). A wide range…
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Yu. Rostovtseva
2024-11-27T12:55:24Z
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2024-07-20T14:33:12Z
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2025-04-03T10:02:33Z
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2024-11-25T12:21:41Z
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İÇİNDEKİLER/BÖLÜMLER 21. YÜZYILDA SPORTİF TEKNOLOJİLERİN DEĞİŞİMİ 7 Seçkin DOĞANER, Ömer ÜNAL, Ümran BAŞAR SANAL ANTRENMAN UYGULAMALARI VE SPORCU EĞİTİMİ 21 Yağmur KOCAOĞLU TAKIM SPORLARINDA YAPAY ZEKA TEKNOLOJİSİNİN KULLANIMI ÜZERİNE GENEL BİR BAKIŞ 41 Hale K…
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2024-10-25T11:36:30Z
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2024-10-11T01:54:24Z
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2024-07-30T17:00:25Z
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2024-11-22T02:20:07Z
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2024-08-05T17:31:31Z
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2024-05-24T17:19:10Z
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2025-05-14T13:30:46Z
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C.M. Feeney
2025-12-05T22:54:21Z
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Contents
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Daniel Tudball
2024-10-15T09:58:12Z
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The rise of AI and the Internet of Things is accelerating the digital transformation of society. Mobility computing presents specific barriers due to its real-time requirements, decentralization, and connectivity through wireless networks. New research on edge…
datacite
Conde, Javier, Munoz-Arcentales, Andrés, Alonso, Álvaro, Salvachúa, Joaquín 等
2024
置信度 0.66
Cryptography and Security (cs.CR)Artificial Intelligence (cs.AI)Distributed, Parallel, and Cluster Computing (cs.DC)Networking and Internet Architecture (cs.NI)FOS: Computer and information sciences
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Recently, there is huge amout of data are processing daily. Cloud computing provides resources solution management and overcome storage requirements problrms . The integration of Artifitial Intelligence technologies specially Machine learning (ML) in the cloud…
datacite
Hedhli, Islem, Dridi, Sofiene
2022
置信度 0.66
Federated learningEdge AIOn-device ML learningUbiquitous computingTensor flow lite
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Remote Health Monitoring (RHM) has benefitted greatly from powerful smartphones and the very high data rate mobile networks. However, RHM benefits may be unobtainable for many users living with health challenges or in remote areas not served by telecommunicati…
datacite
Poyner, Ian Keith
2023
置信度 0.66
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tinyHLS is a compact hardware compiler developed by Fraunhofer IMS, which is an useful toolbox for embedded systems engineers and data scientists responsible for developing and deploying edge AI solutions. It processes tensorflow.keras neural networks and tran…
datacite
Hoyer, Ingo
2024
置信度 0.66
tinyMLArtificial intelligenceHLS
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tinyHLS is a compact hardware compiler developed by Fraunhofer IMS, which is an useful toolbox for embedded systems engineers and data scientists responsible for developing and deploying edge AI solutions. It processes tensorflow.keras neural networks and tran…
datacite
Hoyer, Ingo
2024
置信度 0.66
tinyMLArtificial intelligenceHLS
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Mining machinery operating in variable environments faces high wear and unpredictable stress, challenging Predictive Maintenance (PdM). This paper introduces the Edge Sensor Network for Predictive Maintenance (ESN-PdM), a hierarchical inference framework acros…
datacite
de la Fuente, Raúl, Radrigan, Luciano, Morales, Anibal S
2024
置信度 0.66
Machine Learning (cs.LG)Distributed, Parallel, and Cluster Computing (cs.DC)Multiagent Systems (cs.MA)Networking and Internet Architecture (cs.NI)Signal Processing (eess.SP)
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Uncertainty quantification (UQ) provides a resource-efficient solution for on-device monitoring of tinyML models deployed without access to true labels. However, existing UQ methods impose significant memory and compute demands, making them impractical for ult…
datacite
Ghanathe, Nikhil P, Wilton, Steven J E
2024
置信度 0.66
Machine Learning (cs.LG)Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
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TinyML models often operate in remote, dynamic environments without cloud connectivity, making them prone to failures. Ensuring reliability in such scenarios requires not only detecting model failures but also identifying their root causes. However, transient …
datacite
Ghanathe, Nikhil P, Wilton, Steven J E
2024
置信度 0.66
Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Neural and Evolutionary Computing (cs.NE)FOS: Computer and information sciencesFOS: Computer and information sciences
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FIWARE Machine Learning TinyML and MLOps - Barrier use case Code to reproduce the use case of paper: @ARTICLE{10754992, author={Conde, Javier and Munoz-Arcentales, Andrés and Alonso, Álvaro and Salvachúa, Joaquín and Huecas, Gabriel}, journal={IT Professional}…
datacite
Javier, Conde, Andrés, Munoz-Arcentales, Álvaro, Alonso, Joaquín, Salvachúa 等
2024
置信度 0.66
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FIWARE Machine Learning TinyML and MLOps - Barrier use case Code to reproduce the use case of paper: @ARTICLE{10754992, author={Conde, Javier and Munoz-Arcentales, Andrés and Alonso, Álvaro and Salvachúa, Joaquín and Huecas, Gabriel}, journal={IT Professional}…
datacite
Javier, Conde, Andrés, Munoz-Arcentales, Álvaro, Alonso, Joaquín, Salvachúa 等
2024
置信度 0.66
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Security and privacy are significant concerns in software-defined networking (SDN)-applied Internet of Things (IoT) environments, due to the proliferation of connected devices and the potential for cyberattacks. Hence, robust security mechanisms need to be dev…
datacite
Ali, Jehad, Song, Houbing, Sharma, Vandana, Al-Khasawneh, Mahmoud Ahmad
2024
置信度 0.66
Machine learningInternet of ThingsComputer crimeDecision makingDenial-of-service attack
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Robotic prostheses and exoskeletons can do wonders compared to their non-robotic counterpart. However, in a cost-soaring world where 1 in every 10 patients has access to normal medical prostheses, access to advanced ones is, unfortunately, extremely limited es…
datacite
Madhiha, Zarin Anjum, Mazumder, Antar, Hiam, Sohani Munteha
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
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Tiny Machine Learning (TinyML) is a paradigm that directly enables the inference of machine learning (ML) algorithms on microcontrollers — devices with limited computational resources, including energy, processing power, and storage constraints. Extending Tiny…
datacite
Silva, Claudio, Prazeres, Cássio
2024
置信度 0.66
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Tiny Machine Learning (TinyML) is a paradigm that directly enables the inference of machine learning (ML) algorithms on microcontrollers — devices with limited computational resources, including energy, processing power, and storage constraints. Extending Tiny…
datacite
Silva, Claudio, Prazeres, Cássio
2024
置信度 0.66
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Tiny Machine Learning (TinyML) is a paradigm that directly enables the inference of machine learning (ML) algorithms on microcontrollers — devices with limited computational resources, including energy, processing power, and storage constraints. Extending Tiny…
datacite
Silva, Claudio, Prazeres, Cássio
2024
置信度 0.66
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The explosion of IoT sensors in industrial, consumer and remote sensing use cases has come with unprecedented demand for computing infrastructure to transmit and to analyze petabytes of data. Concurrently, the world is slowly shifting its focus towards more su…
datacite
Mensah, Emmanuel Azuh, Lee, Anderson, Zhang, Haoran, Shan, Yitong 等
2024
置信度 0.66
Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Tiny Machine Learning (TinyML) systems, which enable machine learning inference on highly resource-constrained devices, are transforming edge computing but encounter unique security challenges. These devices, restricted by RAM and CPU capabilities two to three…
datacite
Huckelberry, Jacob, Zhang, Yuke, Sansone, Allison, Mickens, James 等
2024
置信度 0.66
Cryptography and Security (cs.CR)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
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This research is about monitoring pest birds and scaring the such birds away. A tinyML model was trained and deployed on Arduino Nano 33 BLE Sense to monitor the pest birds. Whenever the model detects pest birds, a control is sent for trigger action to scare t…
datacite
Amenyedzi, Destiny Kwabla, Vodacek, Anthony, Kazeneza, Micheline, Mwaisekwa, Ipyana Issah 等
2024
置信度 0.66
Sustainable agricultural development
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Tiny Machine Learning (TinyML) has become a growing field in on-device processing for Internet of Things (IoT) applications, capitalizing on AI algorithms that are optimized for their low complexity and energy efficiency. These algorithms are designed to minim…
datacite
Ali, Asmer Hamid, Navardi, Mozhgan, Mohsenin, Tinoosh
2024
置信度 0.66
Hardware Architecture (cs.AR)Machine Learning (cs.LG)Neural and Evolutionary Computing (cs.NE)FOS: Computer and information sciencesFOS: Computer and information sciences
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A rain detector using TinyML technology is designed and constructed to detect rainfall based on temperature, pressure, and humidity sensors.The sensor sends digital corresponding signals to the microcontroller to be analyzed according to the defined instructio…
datacite
Nicholas, Terhemba
2024
置信度 0.66
Machine learning not elsewhere classifiedEngineering design
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Distracted driving is a critical safety issue that leads to numerous fatalities and injuries worldwide. This study addresses the urgent need for efficient and real-time machine learning models to detect distracted driving behaviors. Leveraging the Pretrained Y…
datacite
Elshamy, Mohamed R., Emara, Heba M., Shoaib, Mohamed R., Badawy, Abdel-Hameed A.
2024
置信度 0.66
Artificial Intelligence (cs.AI)Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Skin cancer is the most common type of cancer in the United States and is estimated to affect one in five Americans. Recent advances have demonstrated strong performance on skin cancer detection, as exemplified by state of the art performance in the SIIM-ISIC …
datacite
Tai, Chi-en Amy, Janes, Elizabeth, Czarnecki, Chris, Wong, Alexander
2023
置信度 0.66
Image and Video Processing (eess.IV)Computer Vision and Pattern Recognition (cs.CV)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineeringFOS: Computer and information sciences
-
The design of low-power wearables for the biomedical domain has received a lot of attention in recent decades, as technological advances in chip manufacturing have allowed real-time monitoring of patients using low-complexity ML within the mW range. Despite ad…
datacite
Samakovlis, Dimitrios, Albini, Stefano, Álvarez, Rubén Rodríguez, Constantinescu, Denisa-Andreea 等
2024
置信度 0.66
Machine Learning (cs.LG)Signal Processing (eess.SP)FOS: Computer and information sciencesFOS: Computer and information sciencesFOS: Electrical engineering, electronic engineering, information engineering
-
Streamlining the deployment of Deep Neural Networks (DNNs) on heterogeneous edge platforms, coupling within the same micro-controller unit (MCU) instruction processors and hardware accelerators for tensor computations, is becoming one of the crucial challenges…
datacite
Hamdi, Mohamed Amine, Daghero, Francesco, Sarda, Giuseppe Maria, Van Delm, Josse 等
2024
置信度 0.66
Distributed, Parallel, and Cluster Computing (cs.DC)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciencesI.2.2; D.1.3
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This paper presents L-VITeX, a lightweight visual intuition system for terrain exploration designed for resource-constrained robots and swarms. L-VITeX aims to provide a hint of Regions of Interest (RoIs) without computationally expensive processing. By utiliz…
datacite
Mazumder, Antar, Madhiha, Zarin Anjum
2024
置信度 0.66
Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Resource constraints pose a significant cybersecurity threat to IoT smart devices, making them vulnerable to various attacks, including those targeting energy and memory. This study underscores the need for innovative security measures due to resource-related …
datacite
Alwaisi, Zainab, Soderi, Simone
2024
置信度 0.66
Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
-
The ability to do machine learning problems on the edge spans a wide spectrum of hardware platforms; promulgating advanced machine learning and artificial intelligence work on smaller ecosystems ranging from Nvidia Jetsons to Raspberry Pi single board computer…
datacite
Armed Forces Communications and Electronics Association 2024, Baldevia-Blackmore, Ria
2024
置信度 0.66
Military ScienceComputer Science and EngineeringArtificial IntelligenceElectronicsMachine Learning
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ICASSP 2022, 7-13 May 2022 Virtual, 22-27 May 2022 In-Person, Singapore
datacite
Josen Daniel De Leon, Rowel Atienza
2022
置信度 0.66
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El aumento del ruido urbano, derivado del desarrollo continuo de actividades económicas y sociales en las ciudades, se ha convertido en una preocupación diaria con un impacto negativo en la población. Estudios presentados por la Secretaría Distrital de Ambient…
datacite
Amaya Guzmán, Brian, Remolina Soto, Maykol Sneyder
2024
置信度 0.66
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In this paper, we introduce a low-cost and low-power tiny supervised on-device learning (ODL) core that can address the distributional shift of input data for human activity recognition. Although ODL for resource-limited edge devices has been studied recently,…
datacite
Matsutani, Hiroki, Marculescu, Radu
2024
置信度 0.66
Machine Learning (cs.LG)Hardware Architecture (cs.AR)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Deploying machine learning (ML) in dynamic data-driven applications systems (DDDAS) can improve the security of industrial control systems (ICS). However, ML-based DDDAS are vulnerable to adversarial attacks because adversaries can alter the input data slightl…
datacite
Yao, Likai, Shi, Qinxuan, Yang, Zhanglong, Shao, Sicong 等
2024
置信度 0.66
Cryptography and Security (cs.CR)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
-
The rapid growth of microcontroller-based IoT devices has opened up numerous applications, from smart manufacturing to personalized healthcare. Despite the widespread adoption of energy-efficient microcontroller units (MCUs) in the Tiny Machine Learning (TinyM…
datacite
Armeniakos, Giorgos, Mentzos, Georgios, Soudris, Dimitrios
2024
置信度 0.66
Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Semantic and goal-oriented (SGO) communication is an emerging technology that only transmits significant information for a given task. Semantic communication encounters many challenges, such as computational complexity at end users, availability of data, and p…
datacite
Eldeeb, Eslam, Shehab, Mohammad, Alves, Hirley, Alouini, Mohamed-Slim
2024
置信度 0.66
Computer Vision and Pattern Recognition (cs.CV)Machine Learning (cs.LG)Image and Video Processing (eess.IV)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Tiny Machine Learning (TinyML) enables efficient, lowcost, and privacy preserving machine learning inference directly on microcontroller units (MCUs) connected to sensors. Optimizing models for these constrained environments is crucial. This paper investigates…
datacite
Samanta, Riya, Saha, Bidyut, Ghosh, Soumya K., Roy, Ram Babu
2024
置信度 0.66
Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Authors: Andres Felipe Cotrino Herrera, Jesús Alfonso López Sotelo, Juan Carlos Blandón Andrade, Alonso Toro Lazo The following files are for a low-cost, open-source device designed to facilitate the learning of technologies like artificial intelligence in emb…
datacite
Cotrino, Andres
2024
置信度 0.66
Artificial IntelligenceTeachingMachine LearningVibration Analysis
-
Tiny Machine Learning (TinyML) is a branch of Machine Learning (ML) that constitutes a bridge between the ML world and the embedded system ecosystem (i.e., Internet of Things devices, embedded devices, and edge computing units), enabling the execution of ML al…
datacite
Shalby, Hazem Hesham Yousef, Pavan, Massimo, Roveri, Manuel
2024
置信度 0.66
Computer Vision and Pattern Recognition (cs.CV)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Monitoring biodiversity at scale is challenging. Detecting and identifying species in fine grained taxonomies requires highly accurate machine learning (ML) methods. Training such models requires large high quality data sets. And deploying these models to low …
datacite
Huang, Zhaolan, Tousnakhoff, Adrien, Kozyr, Polina, Rehausen, Roman 等
2024
置信度 0.66
Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Sound (cs.SD)Audio and Speech Processing (eess.AS)Signal Processing (eess.SP)
-
A new algorithm for incremental learning in the context of Tiny Machine learning (TinyML) is presented, which is optimized for low-performance and energy efficient embedded devices. TinyML is an emerging field that deploys machine learning models on resource-c…
datacite
Rüb, Marcus, Tuchel, Philipp, Sikora, Axel, Mueller-Gritschneder, Daniel
2024
置信度 0.66
Machine Learning (cs.LG)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Elderly care systems play a crucial role in ensuring the well-being of older adults, as nurses cannot constantly monitor them manually. Elderly activity monitoring systems are therefore invaluable, especially in indoor environments where precise activity recog…
datacite
Himasara Navanjana Warnakulasuriya
2023
置信度 0.66
Elderly careActivity recognitionTiny machine learningIndoor positioningUltra-wideband
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The rapid advancement of sophisticated artificial intelligence (AI) algorithms has significantly increased energy consumption and carbon dioxide emissions, raising concerns about climate change. This issue has highlighted the need for environmentally sustainab…
datacite
Rashid, Hasib-Al
2024
置信度 0.66
Edge DeviceHardware-AwarenessModel CompressionMultimodal Deep Neural NetworksTinyML
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Human activity recognition (HAR) holds immense potential for transforming health and fitness monitoring, yet challenges persist in achieving personalized outcomes and sustainability for on-device continuous inferences. This work introduces a wrist-worn smart b…
datacite
Saha, Bidyut, Samanta, Riya, Ghosh, Soumya K, Roy, Ram Babu
2024
置信度 0.66
Signal Processing (eess.SP)Machine Learning (cs.LG)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineeringFOS: Computer and information sciences
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In this work, we present TinyTNAS, a novel hardware-aware multi-objective Neural Architecture Search (NAS) tool specifically designed for TinyML time series classification. Unlike traditional NAS methods that rely on GPU capabilities, TinyTNAS operates efficie…
datacite
Saha, Bidyut, Samanta, Riya, Ghosh, Soumya K., Roy, Ram Babu
2024
置信度 0.66
Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
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Image classification usually requires connectivity and access to the cloud which is often limited in many parts of the world, including hard to reach rural areas. TinyML aims to solve this problem by hosting AI assistants on constrained devices, eliminating co…
datacite
Watt, Tess, Chrysoulas, Christos, Barclay, Peter J
2024
置信度 0.66
Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
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Miniaturized cyber-physical systems (CPSes) powered by tiny machine learning (TinyML), such as nano-drones, are becoming an increasingly attractive technology. Their small form factor (i.e., ~10cm diameter) ensures vast applicability, ranging from the explorat…
datacite
Cereda, Elia, Giusti, Alessandro, Palossi, Daniele
2024
置信度 0.66
Robotics (cs.RO)Artificial Intelligence (cs.AI)Systems and Control (eess.SY)FOS: Computer and information sciencesFOS: Computer and information sciences
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As technology advances, the use of Machine Learning (ML) in cybersecurity is becoming increasingly crucial to tackle the growing complexity of cyber threats. While traditional ML models can enhance cybersecurity, their high energy and resource demands limit th…
datacite
Dehrouyeh, Fatemeh, Yang, Li, Ajaei, Firouz Badrkhani, Shami, Abdallah
2024
置信度 0.66
Cryptography and Security (cs.CR)Artificial Intelligence (cs.AI)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
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The automotive sector faces escalating security risks due to advances in wireless communication technology. Expanding on our previous research using a sensor pairing technique and machine learning models to evaluate IoT sensor data reliability, this study broa…
datacite
Usman Ahmad, Mu Han, Shahid Mahmood
2024
置信度 0.66
Vehicular Ad Hoc Networks and CommunicationsElectrical and Electronic EngineeringFOS: Electrical engineering, electronic engineering, information engineeringEngineeringPhysical Sciences