Benchmark of 1.4 million checked protein structures could sharpen AI predictions

University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...

Ultrasound-jiggled nanobubbles can crack cancer's collagen 'fortress'

Researchers at Case Western Reserve University have discovered a way to breach one of cancer's most stubborn defenses: the impenetrable fortress that solid tumors build around themselves.
Northwestern's McCormick School of Engineering

Living ‘Mini Brains’ Meet Next-Generation Bioelectronics

A new ‘pop-up’ device developed by Professor John Rogers lets scientists map and manipulate activity in human neural ...
IEEE

Deep Learning for Multi-Class DDoS Detection in SDNs: A CNN-LSTM Based Approach

Abstract: Recently Distributed Denial of Service (DDoS) attacks have increased extensively, taking about 35% of all cyber threats among which the attack characteristic rises around 300% within the ...
IEEE

ProtoCellLayout: Prototype-Guided Graph Learning for Accurate and Generalizable Standard Cell Layout PPA Estimation

Abstract: As Moore’s Law approaches its physical limits, Design Technology Co-Optimization(DTCO) has become a critical pathway for advancing semiconductor process nodes. As a communication channel ...
IEEE

A deep Conv-Atten-KAN architecture to identify solid oxide fuel cell dynamics under fuel starvation

Abstract: Solid Oxide Fuel Cells (SOFCs) are coupled, nonlinear systems with interactions of heat transfer, mass transport, and electrochemical reactions that can produce clean, efficient electrical ...
IEEE

Weighted Graph Structure Learning with Attention Denoising for Node Classification

Abstract: The node classification in graphs aims to predict the categories of unlabeled nodes utilizing a small set of labeled nodes. However, weighted graphs often contain noisy edges and anomalous ...
IEEE

CNN-Transformer-Bi-LSTM: A Hybrid Deep Learning Framework for Wearable Sensor-Based Human Activity Recognition

Abstract: Human activity recognition (HAR) focuses on identifying and classifying human activities based on data collected from various sources. Its importance lies in its wide range of applications, ...
IEEE

Automated Trash Detection and Classification Using CNN: A Deep Learning Approach

Abstract: A research project focuses on creating automated trash detection and classification through convolutional neural networks (CNNs) with an objective to improve waste management systems. The ...
IEEE

Cell-Free Distributed Precoding Without Iterations on Unreliable Fronthaul by Quadratic Team Learning

Abstract: Cell-free massive multi-input-multi-output (CF-mMIMO) provides significant improvement owing to the distributed architecture. However, it suffers from the constraints including information ...
IEEE

Fraudulent Credit Card Transaction Monitoring Using Deep Learning: A CNN-LSTM Approach for Single-Transaction Security Identification

Abstract: Credit card cash-out methods have become increasingly complex, with new fraudulent transaction forms emerging continuously. Effective management is hindered by challenges in obtaining ...
GitHub

Inferring virtual cell environments using multi-agent reinforcement learning

Single cells interact continuously to form a cell environment that drives key biological processes. Cells and cell environments are highly dynamic across time and space, fundamentally governed by ...