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Found 12 papers, 7 papers with code
Pervasive wireless channel modeling theory and applications to 6G GBSMs for all frequency bands and all scenarios
In this paper, a pervasive wireless channel modeling theory is first proposed, which uses a unified channel modeling method and a unified equation of channel impulse response (CIR), and can integrate important channel characteristics at different frequency bands and scenarios.
Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data
Our pre-training framework consists of the following components: (1) Intra-modal Denoising Auto-Encoding (IDAE), which is able to reconstruct input text (audio) representations from a noisy version of itself.
Formula graph self-attention network for representation-domain independent materials discovery
The success of machine learning (ML) in materials property prediction depends heavily on how the materials are represented for learning.
A Novel 3D Non-Stationary GBSM for 6G THz Ultra-Massive MIMO Wireless Systems
Terahertz (THz) communication is now being considered as one of possible technologies for the sixth generation (6G) wireless communication systems.
Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models
In this work, we study computational approaches to detect online dialogic instructions, which are widely used to help students understand learning materials, and build effective study habits.
A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation
The quality of vocal delivery is one of the key indicators for evaluating teacher enthusiasm, which has been widely accepted to be connected to the overall course qualities.
Temporal-aware Language Representation Learning From Crowdsourced Labels
A challenging aspect of this problem is that the quality of crowdsourced labels suffer high intra- and inter-observer variability.
Analogical discovery of disordered perovskite oxides by crystal structure information hidden in unsupervised material fingerprints
Compositional disorder induces myriad captivating phenomena in perovskites.
Reconfigurable Intelligent Surfaces for 6G Systems: Principles, Applications, and Research Directions
Reconfigurable intelligent surfaces (RISs) or intelligent reflecting surfaces (IRSs), are regarded as one of the most promising and revolutionizing techniques for enhancing the spectrum and/or energy efficiency of wireless systems.
6G Oriented Wireless Communication Channel Characteristics Analysis and Modeling
Based on the vision on the 6G wireless communication network, i. e., global coverage, all spectrums and all applications, we comprehensively survey 6G related wireless channel measurements, channel characteristics, and channel models for all frequency bands and all scenarios.
Deep learning framework for subject-independent emotion detection using wireless signals
We have compared our results with those obtained from five different classical ML algorithms and it is established that deep learning offers a superior performance even with limited amount of raw RF and post processed time-sequence data.
NeuCrowd: Neural Sampling Network for Representation Learning with Crowdsourced Labels
Representation learning approaches require a massive amount of discriminative training data, which is unavailable in many scenarios, such as healthcare, smart city, education, etc.
