IEEE

FPGA Design and Implementation of BCH Encoders and Decoders Using Pipelined Architecture for High Throughput Applications

This paper presents the design and FPGA implementation of a high-throughput BCH (n,k) encoder and decoder using a fully pipelined architecture. Unlike conventional designs based on finite state ...
IEEE

Implementation and Evaluation of a Deep Learning-Based Wireless Decoder Using Real-World Over-the-Air Data

Abstract: Wireless communication forms the backbone of our increasingly connected world. To address the growing demand for faster, more reliable, and adaptive wireless systems, researchers are ...
Journal of Medical Internet Research

Implementation of a Mobile Digital Tool Supporting Medication for Opioid Use Disorder Treatment Improves Retention: Stepped-Wedge Cluster Randomized Controlled Trial

Background: Despite its proven efficacy, retention in medication for opioid use disorder (MOUD) remains low, with structural and systemic barriers—such as access to care and treatment ...
GitHub

LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension [ICLR 2025]

LLM-wrapper is a method for ‘black-box’ adaptation of VLMs for Referring Expression (REC). It capitalizes on the reasoning abilities of LLMs, improved with a LoRA fine-tuning, to select the most ...
GitHub

MathSnap AI — Handwritten Mathematical Expression Recognition

The encoder employs a DenseNet-B (bottleneck) architecture with three dense blocks separated by transition layers. Each bottleneck layer consists of a 1x1 convolution (expanding to 4x growth rate) ...