TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Journal of Environmental Sciences Study Reveals How Artificial Intelligence can Transform PM2.5 Monitoring

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...
SciELO

Integrating Deep Learning, Grey Wolf Optimization, and SVM for Precise Plant Seedling Classification.

The agricultural sector, particularly in emerging economies like Africa, faces significant challenges in weed management, directly impacting yield, production costs, and crop quality. Accurate and ...
Seeking Alpha

WiMi Develops Single-Qubit Quantum Neural Network Technology for Multi-Task Design

BEIJING, Oct. 20, 2025 (GLOBE NEWSWIRE) -- BEIJING, Oct. 20, 2025––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology ...
Frontiers

Intelligent optimization of slope step parameters in open pit mines containing weak interbedded layers based on machine learning and multi-objective optimization methods

1 Faculty of Land Resources Engineering, Kunming University of Science and Technology Kunming, Kunming, China 2 Pangang Group Mining Company Limited Panzhihua, Panzhihua, Sichuan, China The stability ...
GitHub

GAUTAMDEORA/SVM

Dataset Selection & Preprocessing A multi-class dataset from the UCI library was used. The dataset had between 5k to 30k rows. The dataset was split into 10 random 70-30 train-test splits, labeled S1 ...
IEEE

Optimizing Power Control in Cellular and Cell-Free Massive MIMO Systems: A SVM/RBF Approach

Abstract: This paper explores the optimization of power control in both cellular (CL) and cell-free (CF) massive MIMO (mMIMO) systems using a hybrid approach combining support vector machine (SVM) and ...
Frontiers

Optimization of multi-element geochemical anomaly recognition in the Takht-e Soleyman area of northwestern Iran using swarm-intelligence support vector machine

Mineral exploration is becoming increasingly challenging because the depths at which undiscovered mineral deposits can be found are progressively increasing under barren cover. Therefore, detecting ...
IEEE

Learning the Optimal Discriminant SVM With Feature Extraction

Abstract: Subspace learning and Support Vector Machine (SVM) are two critical techniques in pattern recognition, playing pivotal roles in feature extraction and classification. However, how to learn ...
Forbes

Technology Enablement — Fueled By Data — Is The Ticket To Cost Optimization

Is your organization prioritizing technology enablement? Doing so is key to optimizing costs throughout the enterprise given the interrelated nature of cost optimization and technology. In recent ...