📢 Welcome to the webinar entitled "Recent Progress in Semiconductor Devices." ⏰ Date: 14 August 2024 at 08.00 a.m. CEST | 2:00 a.m. EDT | 2:00 p.m. CST Asia 🎤 Event Chair: Prof. Dr. 洪瑞華Ray Hua Horng 🔔 Speakers and Presentations: Prof. Tian-Li Wu: Recent Progress in Wide Bandgap Semiconductor Power Devices Dr. Pierluigi Casolaro: Impedance Spectroscopy and Its Implications for Studying Radiation Damage 🖲 Register through the following link and we will inform you when the recording is available. https://lnkd.in/eyBpv7q3 #SemiconductorDevice, #SemiconductorMaterial
Electronics MDPI
Book and Periodical Publishing
Basel, Switzerland 3,079 followers
Electronics is an international peer-reviewed open access journal on the science of electronics and its applications.
About us
Electronics (ISSN 2079-9292) is an international, peer-reviewed, open access journal on the science of electronics and its applications published semimonthly online by MDPI Subject Areas: - electrical circuits & devices - microelectronics and computer technology -computer science and engineering - communications & information processing - electrical engineering communications - signal processing - measurements technology - microwave and electronic system engineering - microelectronics and optoelectronics - systems & control engineering - bioelectronics - power electronics and energy systems
- Website
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https://www.mdpi.com/journal/electronics
External link for Electronics MDPI
- Industry
- Book and Periodical Publishing
- Company size
- 11-50 employees
- Headquarters
- Basel, Switzerland
- Type
- Public Company
- Founded
- 2012
- Specialties
- electronics, microelectronics , systems, computer science, networks, optoelectronics, and power electronics
Locations
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Primary
St. Alban-Anlage 66
Basel, Switzerland 4052, CH
Employees at Electronics MDPI
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Jakub Możaryn
Phd, Eng. at Warsaw University of Technology
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Diana Berbecaru
Assist. Prof. - Computer and Network Security
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Ravi Pandit
Lecturer (Assistant Professor) in Instrumentation and AI at Cranfield University
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Yu-Chen Hu
Top 2% Scientist | Professor at Tunghai University, Taiwan | Senior Member of IEEE
Updates
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📢 #CallforPapers for the #specialIssue of “Advances in Dynamic #WirelessPowerTransfer for Moving Objects”! Guest Editors: Dr. Deniss Stepins, and Dr. Janis Zakis 👉Find out more at: https://lnkd.in/g29rNYfX #mdpielectronics #openaccess #electronics
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#Selectedarticles with GA Title: Analysis of a User Interface Based on #MultimodalInteraction to Control a Robotic Arm for #EOD Applications Authors: Denilson V. Goyzueta, Joseph Guevara M. , Andrés Montoya A., Erasmo Sulla E., Yuri Lester S., Pari L., Elvis Supo C. from Universidad Nacional de San Agustin de Arequipa Find more here: https://lnkd.in/e7mnsEaR #mdpielectronics #openaccess #electronics
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#Selectedarticles with GA Title: Cinematographic Shot #Classification with #DeepEnsembleLearning Authors: Bartolomeo Vacchetti, Tania Cerquitelli Find more here: https://lnkd.in/ebtc2H5M #mdpielectronics #openaccess #electronics
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#Selectedarticles with GA Title: Can I Sleep Safely in My #Smarthome? A Novel Framework on Automating Dynamic Risk Assessment in #IoT Environments Authors: Anastasija C., Niels Alexander Nijdam Find more here: https://lnkd.in/eXjStM22 #mdpielectronics #openaccess #electronics
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#Selectedarticles with GA Title: Design of Chained Document #HTML Generation Technique Based on #Blockchain for Trusted Document Communication Authors: Hyun-Cheon Hwang, Je Woo Kim Find more here: https://lnkd.in/e2vQbskz #mdpielectronics #openaccess #electronics
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Electronics MDPI reposted this
🌟 Exciting News! 🌟 I am thrilled to announce that our paper, titled "Hybrid Machine Learning for Automated Road Safety Inspection of Auckland Harbour Bridge," has been published in Electronics MDPI! 🎉📚 This research presents a groundbreaking solution for enhancing the safety inspections of the Auckland Harbour Bridge using hybrid machine-learning techniques. Our approach combines deep learning with custom transfer learning strategies to automatically detect safety anomalies in the movable concrete barrier system. This method not only improves the accuracy and efficiency of inspections but also contributes to safer and more resilient urban infrastructure. I would like to extend my heartfelt gratitude to my co-authors, Boris Bačić and Dr Maryam Doborje. A special thank you to the NZ Transport Agency Waka Kotahi, Auckland System Management and Auckland University of Technology for their invaluable support throughout this project. Check out the full paper here: https://lnkd.in/gqwgcuke #Research #MachineLearning #RoadSafety #AucklandHarbourBridge #Publication #MDPI #SmartInfrastructure #DeepLearning #AI #DataScience #Innovation #Technology #UrbanDevelopment #SafetyInnovation #Engineering #TrafficSafety #AcademicPublishing #NewZealand #SmartCities
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Electronics MDPI reposted this
Dear LinkedIn network member, Our paper "Toward Safer Roads: Predicting the Severity of Traffic Accidents in Montreal Using Machine Learning" was recently accepted in the special issue "Advances in Artificial Intelligence Engineering" of the Electronics MDPI journal and is now available online. You can access it using the link below. Article link: https://lnkd.in/eRRezkX2
Toward Safer Roads: Predicting the Severity of Traffic Accidents in Montreal Using Machine Learning
mdpi.com
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Electronics MDPI reposted this
📣 Meet Us at the International Design Engineering Technical Conferences & Computers and Information in Engineering Conference 🌍 Event Details: 🗓️ Date: 25-28 August 2024 📍 Location: JW Marriott Washington, Washington, DC, USA 🔗https://lnkd.in/eQm-V6iK MDPI #openaccess Machines MDPI Systems MDPI Logistics MDPI Electronics MDPI NDT MDPI JMMP MDPI Vehicles MDPI Applied Sciences MDPI Robotics MDPI Vibration MDPI
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Electronics MDPI reposted this
I am thrilled to announce the publication of my latest research paper, “A Comprehensive Literature Review on Volatile Memory Forensics,” in Electronics MDPI MDPI. This marks my fourth published paper, and I am incredibly grateful for the opportunity to contribute further to the field of digital forensics. 📄 You can read the full paper here: https://lnkd.in/dy274xbz 🔍 Abstract: Through a systematic literature review, this paper investigates the development of memory forensics through past and current methodologies, as well as future trends. It covers six different memory categories, with a focus on volatile memory, interpreting their advantages and the tactics used to retrieve data. This overview is an essential resource for professionals and researchers working in digital forensics, offering insights into current trends and marking future directions in forensic methodology. I would like to extend my gratitude to Hafizur Rahman and the Department of Computer Networks and Communications at King Faisal University for their invaluable support. #DigitalForensics #Cybersecurity #Research #MemoryForensics #AcademicPublication #KFU
A Comprehensive Literature Review on Volatile Memory Forensics
mdpi-res.com