C&EN

Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...
Frontiers

Hybrid brain-computer interface using error-related potential and reinforcement learning

Brain-computer interfaces (BCIs) offer alternative communication methods for individuals with motor disabilities, aiming to improve their quality of life through external device control. However, ...
IEEE

Modified Hamming Codes to Enhance Short Burst Error Detection in Semiconductor Memories (Short Paper)

Abstract: Error correction codes are used in semiconductor memories to protect information against errors. Simple error correction codes are preferred due to their ...
IEEE

Error detection and correction by hamming code

Abstract: In the process of communication the information gets corrupted. Therefore, the signals received by the receiver which is different than the actual information signal. This paper stated that ...
Frontiers

SeekFusion - A Clinically Validated Fusion Transcript Detection Pipeline for PCR-Based Next-Generation Sequencing of RNA

Detecting gene fusions involving driver oncogenes is pivotal in clinical diagnosis and treatment of cancer patients. Recent developments in next-generation sequencing (NGS) technologies have enabled ...
PNAS

Indel-correcting DNA barcodes for high-throughput sequencing

Modern high-throughput biological assays study pooled populations of individual members by labeling each member with a unique DNA sequence called a “barcode.” DNA barcodes are frequently corrupted by ...
Hackaday

Error Detection And Correction: Reed-Solomon, Convolution And Trellis Diagrams

I’ll discuss them with respect to RS code but they can be used with all FEC codes, including mixing types of FEC code. Interleaving is simply taking a number of messages and mixing the bytes, in a ...