Supply Chain Management Review

Predicting failure before it happens: A new playbook for transportation risk

Pickup defects, which we define at late pickups from a vendor or shipper site, represent a very costly challenge in ...
Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
Textile World

Uster Fabric Vision 2: Developed To Assist Fabric Producers Transition From Manual To Automated Inspection – With The Same Staff

Fabric Vision 2 was developed to enable the smooth and simple transition from manual to automated inspection, with the ...
The Manila Times

eSmart Systems Launches AI Studio: A New Era of Custom Computer Vision for Grid Inspection and Beyond

Built on eSmart Systems’ patent-pending Adaptive AI, the new platform lets utilities and technology companies build, deploy, and scale custom AI models in minutes - without machine learning expertise ...

Sciotex Launches Benchtop Automated Inspection Systems to Lower Barriers to AI-Powered Machine Vision

New compact platforms reduce cost, footprint and complexity of automated inspection for manufacturers entering Industry ...
IEEE

Defect Detection and Correction in OpenMP: A Static Analysis and Machine Learning-Based Solution

Abstract: Concurrency defects such as race conditions, deadlocks, and improper synchronization remain a critical challenge in developing reliable OpenMP-based parallel applications. Traditional static ...
IEEE

PCB Defect Detection by Using Deep Learning Algorithm

Abstract: Traditional PCB defect detection methods, such as manual inspection and rule-based Automatic Optical Inspection (AOI), are increasingly inadequate due to their sensitivity to lighting ...