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The 2nd International Conference on Image, Signal Processing and Machine Learning (ISPML 2026)

ISPML 2026

Date of beginning

Wednesday, 16 September 2026

Duration

3 days

Deadline for abstracts

Wednesday, 02 September 2026

City

Guilin

Country

China

Contact

Camille

E-Mail

This email address is being protected from spambots. You need JavaScript enabled to view it.

Expected participants

100

Memo

ISPML 2026 - English Conference Material Conference IntroductionThe 2nd International Conference on Image, Signal Processing and Machine Learning (ISPML 2026) will take place in Guilin, China, from September 16 to 18, 2026. The conference aims to create a dynamic platform for researchers, engineers, and industry professionals from around the globe to share their latest findings and innovations in the fields of image processing, signal processing, and machine learning. ISPML 2026 will feature keynote speeches from renowned experts, along with workshops and panel discussions designed to foster cross-disciplinary collaborations. The conference encourages the submission of high-quality academic papers that contribute to advancements in these fields. Beyond academic exchange, ISPML 2026 offers valuable networking opportunities, allowing attendees to connect with like-minded individuals, explore potential collaborations, and expand their professional networks. Call for PapersISPML 2026 invites submissions on a wide range of topics, including but not limited to: Signal Processing: Radar signal processing; underground remote sensing signals; biomedical signals; marine/underwater signal processing; aviation and equipment signal processing; multimedia signal processing; signal coding and data; nonlinear signal processing; information theory and coding; digital signal processing; target detection and tracking; array signal processing; signal processing and neural networks; micro-nano sensing and signal processing; adaptive filtering; speech and acoustic signals; communication signal processing; digital statistical signals; sparse and quantum signals; nonlinear stochastic signals; signal detection and estimation; signal compression and reconstruction; hardware implementation; industrial signal monitoring; environmental signal analysis; geophysical signals. Image Processing: Computer vision; image processing; target detection and tracking; multimedia and human-computer interaction; computer vision and virtual reality; biomedical image analysis; image enhancement and reconstruction; image restoration and denoising; super-resolution reconstruction; image segmentation and registration; 3D vision and depth estimation; medical image analysis; remote sensing and hyperspectral imaging; infrared image processing; video analysis and compression; computational imaging; industrial vision inspection; autonomous driving vision; security and surveillance vision; agricultural remote sensing applications. Machine Learning: Deep neural networks; reinforcement learning; transfer learning; federated learning; self-supervised learning; few-shot learning; meta-learning; graph neural networks (GNNs); generative adversarial networks (GANs); explainable machine learning; multimodal learning; edge intelligence and embedded systems; intelligent manufacturing; smart healthcare; intelligent transportation; smart cities; smart homes; smart agriculture; fintech; unmanned systems; intelligent robotics; intelligent surveillance; human-computer interaction; brain-computer interfaces; digital twins; AI security. *Other related topics are also welcome. If you are unsure about the relevance of your topic, please feel free to contact the conference committee (Ms. Camille Shi, +86-19396491277, Invitation Code: S8111).* Publication & IndexingAll accepted full papers will be published in the conference proceedings and will be submitted for indexing to Ei Compendex and Scopus. Submission Linkhttps://paper-sub.com/paper/QYYYIQ Registration Linkhttps://paper-sub.com/register/QYYYIQ Contact Person & EmailSecretary: Ms. Camille ShiOfficial Website: www.ispml.org (Please verify)Email: This email address is being protected from spambots. You need JavaScript enabled to view it./Phone: +86-19396491277 (Please add "ISPML 2026" when contacting).