output
20162026
most citedRecurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation

445 citations

20 papers

cs.ET2026

Quantum-Based Resilient Routing in Networks: Minimizing Latency Under Dual-Link Failures

Maher Harb, Nader Foroughi, Matt Stehman +3

Network optimization problems represent large combinatorial search spaces that grow exponentially with network size, making them computationally intensive to solve. This paper addr…

cs.IR2025

Content Moderation in TV Search: Balancing Policy Compliance, Relevance, and User Experience

Adeep Hande, Kishorekumar Sundararajan, Sardar Hamidian +1

Millions of people rely on search functionality to find and explore content on entertainment platforms. Modern search systems use a combination of candidate generation and ranking…

cs.CR2025★ 2 cited

Integrating Cybersecurity Frameworks into IT Security: A Comprehensive Analysis of Threat Mitigation Strategies and Adaptive Technologies

Amit Lokare, Shripad Bankar, Padmajeet Mhaske

The cybersecurity threat landscape is constantly actively making it imperative to develop sound frameworks to protect the IT structures. Based on this introduction, this paper aims…

cs.CL2024★ 9 cited

"Ask Me Anything": How Comcast Uses LLMs to Assist Agents in Real Time

Scott Rome, Tianwen Chen, Raphael Tang +2

Customer service is how companies interface with their customers. It can contribute heavily towards the overall customer satisfaction. However, high-quality service can become expe…

eess.SP2020★ 13 cited

RF Sensing for Continuous Monitoring of Human Activities for Home Consumer Applications

Moeness G. Amin, Arun Ravisankar, Ronny G. Guendel

Radar for indoor monitoring is an emerging area of research and development, covering and supporting different health and wellbeing applications of smart homes, assisted living, an…

cs.CV2020★ 6 cited

VideoSSL: Semi-Supervised Learning for Video Classification

Longlong Jing, Toufiq Parag, Zhe Wu +2

We propose a semi-supervised learning approach for video classification, VideoSSL, using convolutional neural networks (CNN). Like other computer vision tasks, existing supervised…