techtimes

Shibaji Chandra Leads the Discussion About How AI-Augmented Enterprise Architecture Transforms Digital Transformation into Adaptive Business Models

In today's dynamic and unpredictable business landscape, digital transformation is no longer an option but an imperative. Organizations must handle their quick modernization projects while fixing ...
Frontiers

Early detection and severity classification of verticillium wilt in cotton stems using Raman spectroscopy and machine learning

The early detection of Verticillium wilt (VW) in cotton is a critical challenge in agricultural disease management. Cotton, a vital global textile resource, is severely threatened by this devastating ...
C&EN

Defect Localized Mechanoluminescence Model in Copper Doped Zinc Sulfide

Department of Chemistry, Research Institute for Natural Sciences and Research Institute for Convergence of Basic Science, Hanyang University, Seoul 04763, Republic of Korea Department of Chemical ...
IEEE

An Efficient Defect Detection Method for MLCC Based on EHL-DETR Deep Learning Model

Abstract: Multilayer ceramic capacitors (MLCCs) may present various shapes, sizes, and subtle defects during manufacturing, which can affect their performance and functionality. However, existing ...
Journal of Medical Internet Research

Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review

Conclusions: We identified several ML-based models predicting clinical outcomes with good discriminatory ability in people with DFU. Due to the focus on development and internal validation of the ...
IEEE

MFF-SDD: A Bidirectional Guidance and Multiscale Multimodal Fusion Model for Small Defect Detection in Industrial Films

Abstract: Detecting small defects in industrial biaxially oriented polypropylene (BOPP) films is challenging due to their limited visual cues, low contrast, and high similarity to background textures.