Results 201 to 210 of about 619,668 (328)
The current study adopted an experimental paradigm of digital span to evaluate acute high‐altitude exposure impairment on working memory. The subjects showed obvious physiological adaptation mechanism at acute altitude. The results of hemodynamic response confirmed the important role of left DLPFC in the process of working memory, revealed abnormal ...
Li Wang+11 more
wiley +1 more source
Restart Mechanisms for the Successive-Cancellation List-Flip Decoding of Polar Codes. [PDF]
Pillet C+3 more
europepmc +1 more source
Erratum to: Performance analysis and design of MIMO-OFDM system using concatenated forward error correction codes [PDF]
Arun Agarwal, Saurabh Mehta
openalex +1 more source
Fairness in Federated Learning: Trends, Challenges, and Opportunities
This survey delves into the intricate issues pertinent to fairness in federated learning , where various biasing factors can skew model performance. By systematically analyzing fairness‐aware strategies, evaluation metrics, and future directions, this work identifies pivotal research gaps in existing approaches and sheds light on both challenges and ...
Noorain Mukhtiar+2 more
wiley +1 more source
Forward Error Correction (FEC) Framework Extension to Sliding Window Codes
Vincent Roca, Ali C. Begen
openalex +3 more sources
Joint encryption and error correction for secure quantum communication. [PDF]
Jha N, Parakh A, Subramaniam M.
europepmc +1 more source
In this article, RNN–based learning method is proposed to achieve overall dynamic model of robot manipulators, which is established by optimal data‐bandwidth. The optimal data‐bandwidth is developed as a key behavior of the proposed method, which is designed on the loss function and its derivative.
Seungcheon Shin+2 more
wiley +1 more source
Re-locative guided search optimized self-sparse attention enabled deep learning decoder for quantum error correction. [PDF]
Shinde UU, Bandaru R.
europepmc +1 more source
Polar-coded channel polarization for reducing complexity of soft-decision forward error correction
Zhiyuan Song+2 more
openalex +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source