AIMC Topic: Communication

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A Review of Fundamental Optimization Approaches and the Role of AI Enabling Technologies in Physical Layer Security.

Sensors (Basel, Switzerland) May 9, 2022
With the proliferation of 5G mobile networks within next-generation wireless communication, the design and optimization of 5G networks are progressing in the direction of improving the physical layer security (PLS) paradigm. This phenomenon is due to...
Artificial Intelligence Communication Wireless Technology Technology Machine Learning
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Improved Deep Neural Network for Cross-Media Visual Communication.

Computational intelligence and neuroscience Apr 30, 2022
Cross-media visual communication is an extremely complex task. In order to solve the problem of segmentation of visual foreground and background, improve the accuracy of visual communication scene reconstruction, and complete the task of visual real-...
Communication Image Processing, Computer-Assisted Machine Learning Research Design Neural Networks, Computer
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English Text Recognition Deep Learning Framework to Automatically Identify Fake News.

Computational intelligence and neuroscience Apr 28, 2022
Fake news spreading rapidly worldwide is considered one of the most severe problems of modern technology that needs to be addressed immediately. The remarkable increase in the use of social media as a critical source of information combined with the ...
Communication Social Media Deep Learning Humans Disinformation Reproducibility of Results
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Multimodality and Computational Intelligence-Enabled Intercultural Communicative Competence of College-English-Teaching Students.

Computational intelligence and neuroscience Apr 28, 2022
With the intensification of global economic integration, international exchanges have become increasingly frequent, and employers have put forward higher requirements for ICC (Intercultural Communication Competence) of college students. In this paper...
Universities Knowledge Communication Students Artificial Intelligence Humans
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DACFL: Dynamic Average Consensus-Based Federated Learning in Decentralized Sensors Network.

Sensors (Basel, Switzerland) Apr 26, 2022
Federated Learning (FL) is a privacy-preserving way to utilize the sensitive data generated by smart sensors of user devices, where a central parameter server (PS) coordinates multiple user devices to train a global model. However, relying on central...
Machine Learning Privacy Communication Learning Consensus
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Near Ground Pathloss Propagation Model Using Adaptive Neuro Fuzzy Inference System for Wireless Sensor Network Communication in Forest, Jungle and Open Dirt Road Environments.

Sensors (Basel, Switzerland) Apr 24, 2022
In Wireless Sensor Networks which are deployed in remote and isolated tropical areas; such as forest; jungle; and open dirt road environments; wireless communications usually suffer heavily because of the environmental effects on vegetation; terrain;...
Communication Fuzzy Logic
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Multihydrophone Fusion Network for Modulation Recognition.

Sensors (Basel, Switzerland) Apr 22, 2022
Deep learning (DL)-based modulation recognition methods of underwater acoustic communication signals are mostly applied to a single hydrophone reception scenario. In this paper, we propose a novel end-to-end multihydrophone fusion network (MHFNet) fo...
Recognition, Psychology Communication Acoustics Computer Simulation Neural Networks, Computer
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Gender Bias and Conversational Agents: an ethical perspective on Social Robotics.

Science and engineering ethics Apr 21, 2022
The increase in the spread of conversational agents urgently requires to tackle the ethical issues linked to their design. In fact, developers frequently include in their products cues that trigger social biases in order to maximize the performance a...
Male Robotics Communication Sexism Attitude Morals Female Humans
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Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences.

Journal of the Association for Research in Otolaryngology : JARO Apr 20, 2022
Use of artificial intelligence (AI) is a burgeoning field in otolaryngology and the communication sciences. A virtual symposium on the topic was convened from Duke University on October 26, 2020, and was attended by more than 170 participants worldwi...
Humans Communication Otolaryngology Artificial Intelligence
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Communication-efficient federated learning via knowledge distillation.

Nature communications Apr 19, 2022
Federated learning is a privacy-preserving machine learning technique to train intelligent models from decentralized data, which enables exploiting private data by communicating local model updates in each iteration of model learning rather than the ...
Data Compression Privacy Humans Communication Machine Learning
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