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Easy Sleeve Placket Sewing: Fast and Simple Method Tutorial

No more struggling with sleeve plackets! This beginner-friendly method shows you the fastest and most efficient way to sew clean, professional-looking plackets in no time. Trump adopts new nickname ...
Scientific Research Publishing

Research on Structural Damage Identification Method Based on Convolutional Neural Network ()

1 College of Finance and Commerce, Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 ...
Frontiers

Complex-valued brain networks for neurodegenerative disease diagnosis via component-aware feature fusion

Introduction: Recent advancements in brain network analysis have greatly improved the diagnosis of neurodegenerative diseases. However, most existing studies rely on single-frequency EEG ...
Scientific Research Publishing

Ilesanmi, A.E. and Ilesanmi, T.O. (2021) Methods for Image Denoising Using Convolutional Neural Network: A Review. Complex & Intelligent Systems, 7, 2179-2198.

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
C&EN

DCGCN: Dual-Channel Graph Convolutional Network-Based Drug–Target Interaction Prediction Method with 3D Molecular Structure

College of Artificial Intelligence, Tianjin Normal University, Tianjin 300387, China Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin ...
C&EN

The String Method with Swarms of Trajectories: A Tutorial for Free-Energy Calculations Along a Zero-Drift Pathway

Laboratoire International Associé Centre National de la Recherche Scientifique et University of Illinois at Urbana−Champaign, Unité Mixte de Recherche n7019, Université de Lorraine, 54506 ...
IEEE

Convolution Smooth: A Post-Training Quantization Method for Convolutional Neural Networks

Abstract: Convolutional neural network (CNN) quantization is an efficient model compression technique primarily used for accelerating inference and optimizing resources. However, existing methods ...
marktechpost

Meta AI Proposes Multi-Token Attention (MTA): A New Attention Method which Allows LLMs to Condition their Attention Weights on Multiple Query and Key Vectors

Large Language Models (LLMs) significantly benefit from attention mechanisms, enabling the effective retrieval of contextual information. Nevertheless, traditional attention methods primarily depend ...