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SMTVIP '24 — INTERNATIONAL CONFERENCE ON SUSTAINABLE MATERIALS AND TECHNOLOGIES IN VLSI AND INFORMATION PROCESSING
13. Dez 2024 - 14. Dez 2024 • Krishnankoil, Srivilliputtur, Tamilnadu, Indien
Veranstalter:
Kalasalingam Academy of Research and Education, Department of Electronics and Communication Engineering
Zusammenfassung:
International Conference on Sustainable Materials and Technologies in VLSI and Information Processing (SMTVIP, 2024) will be organized by Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, India on 13th - 14th December 2024. SMTVIP is an annual event that aims to bring Academia, researchers, engineers, students and industry professionals to share the latest developments and advancements in the field. The conference covers a wide range of topics related to VLSI design, signal processing, and information processing, including but not limited to: VLSI design, Embedded and IoT, Signal and Information Processing, Communication, Networking. The conference provides a platform to share their latest research findings and exchange ideas on emerging trends, technologies, and collaborate on new projects. It also provides an opportunity for attendees to establish new partnerships with peers in their respective fields. Original, previously unpublished and high-quality research papers would be appreciated. All submitted articles must not be under consideration for publication elsewhere. All accepted, presented and registered papers under this conference will be published by CRC press (Taylor and Francis Group) to be indexed with Scopus.
Kontakt:
Organizer;     Email: smtvip@klu.ac.in
Themen:
Advanced Process / Materials in VLSI Devices, VLSI design techniques and methodologies, Analog and digital circuit design, Low-power design, FPGA design and implementation, Analog/Mixed-Signal Design, Synthesis and Optimization, Design & Modelling, Networking Technologies and Protocols, Real Time Systems, Human-Computer Interaction for IoT Devices, Wireless sensor networks, Signal processing algorithms and architectures, Image and video processing, Audio and speech processing, Biomedical signal processing, Machine learning and Deep Learning, Pattern Recognition, Sensor signal processing, Cellular 5G/6GCommunication, Digital Communication, Photonics and Cloud computing, Wireless Networking, Social Networking, Network Applications and Services,
Eintrags-ID:
1637413


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Stand vom 12. September 2024