The Powerful Communication Techniques Used by Highly Spiritual Leaders
Highly spiritual people possess the ability to communicate their message clearly and effectively, which is the key to their success and influence.
Navigating Communication Challenges: Insights on Effective Dialogue, Overcoming Biases, and Maximizing Career Opportunities
Effective communication is crucial but often challenging, requiring adaptability, empathy, and strategic approaches to overcome differences and achieve desired outcomes.
직설적이면서도 예의바르게 말하는 법
진실을 말하는 것만으로는 충분하지 않으며, 상대방의 감정을 고려하는 것이 중요하다.
Balancing Directness and Empathy: Communicating Honestly Without Offending
Directness can be valuable, but must be balanced with empathy to avoid coming across as rude or insensitive.
In-Band Full-duplex Two-way Wiretap Channel Secrecy Rate Analysis
Two-way wiretap channel secrecy rates are analyzed with artificial noise signal design and power allocation algorithms.
GeNet: A Graph Neural Network-based Anti-noise Task-Oriented Semantic Communication Paradigm
GeNet proposes a Graph Neural Network paradigm for anti-noise task-oriented semantic communication, decoupling SNR dependency and showcasing robustness to geometric transformations.
Latency-Aware Generative Semantic Communications with Pre-Trained Diffusion Models
Generative semantic communication framework with pre-trained models enables ultra-low-rate, low-latency, and channel-adaptive communications.
Understanding Large Content and Behavior Models for Communication Optimization
Introducing Large Content Behavior Models (LCBMs) to optimize communication by integrating behavior tokens in training.
Deep Learning-Assisted Parallel Interference Cancellation for Grant-Free NOMA in Machine-Type Communication
The author presents a novel approach using deep learning to address joint activity detection, channel estimation, and data detection in uplink grant-free NOMA systems.
Optimizing Semantic Communication with AoSI in Status Update Systems
The author introduces the Age of Semantic Importance (AoSI) metric to optimize semantic communication by considering both freshness and semantic importance. A Deep Q-Network (DQN) algorithm is proposed for multi-source scheduling and resource allocation.
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