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Tech Xplore on MSN

AI-driven smart jig can detect micro-level defects in just 2.79 seconds

A research team affiliated with UNIST has unveiled an innovative, high-precision AI-powered quality inspection system that ...
YourStory

Keshav Kumar: Making quick commerce personal, predictive, and precise

From neural networks in a classroom to scaling personalization, demand forecasting, and anomaly detection, BigBasket’s Head of Engineering is steering AI adoption to ensure seamless operations.
Devdiscourse

AI tools cut costs and boost efficiency in global tax fraud detection systems

Tax fraud is a persistent global challenge, with annual losses surpassing USD 1 trillion in corporate tax revenue alone. The ...

Anomalo Unveils the 6 Pillars of Data Quality Critical for AI Success

To ensure enterprises can fully trust the data fueling their analytics and AI deployments, Anomalo has defined the Six Pillars of Data Quality: ...
Scientific Research Publishing

Agentic AI in Contract Analytics Harnessing Machine Learning for Risk Assessment and Compliance in Government Procurement Contracts ()

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...
IEEE

Anomaly Detection Model in Network Security Situational Awareness Based on Machine Learning: Limitation, Techniques, and Future Trends

Abstract: This study focuses on the anomaly detection problem in Network Security Situational Awareness (NSSA). We systematically review traditional approaches and recent advancements based on Machine ...
IEEE

Machine Learning Model for Road Anomaly Detection Using Smartphone Accelerometer Data

Abstract: This paper presents a vibration-based machine learning approach for road surface monitoring using smartphone sensors. With Mexico’s road network experiencing significant deterioration and ...
Scientific Research Publishing

Machine Learning-Based Outlier Detection in Long-Term Climate Data: Evidence from Burkina Faso’s Synoptic Network ()

Laboratoire de Matériaux et Environnement (LAME), Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso. In recent decades, the impact of climate change on natural resources has increased. However, ...
Frontiers

Deep learning-based anomaly detection for precision field crop protection

Introduction: Precision agriculture relies on advanced technologies to optimize crop protection and resource utilization, ensuring sustainable and efficient farming practices. Anomaly detection plays ...