This research explores the evolving landscape of Explainable Artificial Intelligence (XAI), with a specific focus on counterfactual explanations and their role in ensuring fairness and reducing bias in AI decision-making. ...

Wireless devices, including mobile phones, laptops, autonomous driving, UAT, etc., generate an enormous amount of local data, which could be employed to train machine learning models for decision-making and improve prediction ...

With the new habits of lifestyle, new health problems are arising and demands continuous health monitoring. Wearable technology will revolutionize our lives in the upcoming years. To enable widespread usage of such devices, ...

To support wide variety of services ranging from voice, high-speed data and multimedia, multi-standard wireless communication transceivers (MWCT) are desired. Such transceivers have the capability to adapt to any desired ...

Modeling directly raw waveforms through neural networks for speech processing is gaining more and more attention. Despite its varied success, a question that remains is: what kind of information are such neural networks ...

Generative modeling and adversarial learning have significantly advanced the field of computer vision, particularly in object recognition and synthesis, unsupervised domain adaptation, and adversarial attacks and defenses. ...

Channel encoder and decoder are critical components of the wireless physical layer (PHY), enabling the transceiver to overcome transmission errors due to wireless channel fading and interference. In 5G, polar encoder and ...

Although there has been significant research and development on automation devices for assisted living, there has always been trade-offs in terms of the cost, complexity, design and efficiency. Numerous researchers have ...