Abstract: Recent advancements in sensor technologies, including camera-based systems integrated with computer vision and deep learning, have significantly transformed Advanced Driving Assistance ...
Abstract: In this paper, a Bit-Interleaved Serially Concatenated Block Coded Modulation with Iterative Decoding (BISCBCM-ID) system is proposed, employing a Serially Concatenated Block Code (SCBC) ...
Abstract: This research introduces an advanced approach to automate the segmentation and quantification of nuclei in fluorescent images through deep learning techniques. Overcoming inherent challenges ...
CNN chief data analyst Harry Enten marveled at encouraging polling figures for the GOP and concerning ones for the Democrats on Tuesday morning. Here’s how Enten’s animated discussion with anchor John ...
Abstract: The proliferation of Arabic information on the internet has led to a surge in the demand for automated Arabic text classification and generation techniques. Arabic text classification and ...
Abstract: Belief propagation (BP) decoding has been recognized for its capacity-approaching performance and high throughput when decoding long low-density parity-check (LDPC) codes. However, the ...
Abstract: This paper introduces a novel framework for constructing algebraic lattices based on Construction-D, leveraging nested linear codes and prime ideals from algebraic number fields. We focus on ...
Abstract: This study proposes a multiscale consistency supervision (MSCS) strategy that combines a semisupervised learning approach with multimagnification learning to ease the labeling load and ...
(CNN) — Summer Kerksick waited in line for two hours Tuesday to receive a box of canned and dry goods at a food bank event for federal workers amid the ongoing government shutdown. “With my rent due ...