The Manila Times

WiMi Develops Quantum Convolutional Neural Network Model for Classical Data Classification

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...
PC Tech Magazine

Advanced AI and ML Courses to Learn Machine Learning, Deep Learning in 2026

Most working professionals already understand that AI skills are no longer optional they are a career necessity.
EurekAlert!

Time for an AI checkup: Flaw found in machine learning for sepsis treatment

Computer scientists urge a fundamental shift in how problems are formulated in reinforcement learning for healthcare ...

US-DATA Expands Global Data Annotation Services for AI, Computer Vision and Machine Learning Projects

US-DATA, a data annotation company specializing in machine learning and computer vision projects, announces the expansion of ...
IEEE

Auto-Prep: Efficient and Automated Data Preprocessing Pipeline

Abstract: Data preprocessing is crucial in the Machine Learning pipeline because the models’ learning ability directly affects the quality of data and the underlying information acquired from this ...
Nature

FAIR4prep: FAIR clinical informatics data preprocessing in artificial intelligence applications

Reproducibility of machine learning applications in clinical informatics heavily relies on data preparation. However, preprocessing pipelines are not systematically reported in a consistent, ...
ascopubs.org

Machine Learning Model for Predicting Severe Adverse Events in Oncology Patients Using the US Food and Drug Administration Adverse Event Reporting System

Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma Predicting severe adverse events (SAEs) in oncology is ...
LinkedIn

Data Preprocessing in WEKA: Techniques for Cleaning and Preparing Datasets

In the field of data science and machine learning, the accuracy of any predictive model depends greatly on the quality of the data used to train it. Raw datasets often contain noise, missing values, ...
Scientific Research Publishing

Razavi, M., Ziyadidegan, S., Jahromi, R., et al. (2023) Machine Learning, Deep Learning and Data Preprocessing Techniques for Detection, Prediction, and Monitoring of Stress ...

ABSTRACT: Mood disorders—particularly bipolar spectrum conditions—pose enduring diagnostic and therapeutic challenges due to their episodic nature, heterogeneous presentations, and reliance on ...
LinkedIn

What is Data Preprocessing in Machine Learning? Why Is It Important?

What Is Data Preprocessing In Machine Learning: Data is the backbone of machine learning, but raw data is rarely perfect. It often contains noise, missing values, and inconsistencies that can reduce ...
Nature

Impact of canny edge detection preprocessing on performance of machine learning models for Parkinson’s disease classification

Over one million people in the U.S. have Parkinson’s disease (PD), a number that is expected to rise to 1.2 million by 2030. This condition affects more than 10 million people globally, with ...
IEEE

Simple Yet Powerful: Machine Learning-Based IoT Intrusion System With Smart Preprocessing and Feature Generation Rivals Deep Learning

Abstract: With the rapid advancements in deep learning, IoT intrusion detection systems have increasingly adopted deep learning models as the state-of-the-art solution due to their ability to handle ...