Machine learning - Strategic Insights Report (Page 53)

Machine learning

Integrated Multi-Omics and Machine Learning Reveal Immunogenic Cell Death-Related Signature for Colorectal Cancer Prognosis and Therapy

Researchers at Suzhou University of Science and Technology have made significant strides in understanding and combating colorectal cancer (CRC) through the discovery of an immunogenic cell death-related signature. By employing an integrated multi-omics and machine learning approach, the team identified 11 genes with prognostic significance in CRC, which were used

Machine learning

Enhancing Network Intrusion Detection Using Machine Learning and Meta-modeling for Improved Cybersecurity Performance

Researchers at Arni University have made a significant contribution to the field of artificial intelligence by developing a novel approach to network intrusion detection using machine learning and meta-modeling. The study, published in the Journal of Mechanics of Continua and Mathematical Sciences, aims to enhance the accuracy and reliability of

Machine learning

AI-Powered Vehicle Rider Satisfaction Systems: A Patent Breakdown

The patent 12353206, titled "Vehicle Rider Satisfaction Promoting Systems Based on Adjusting Operating Parameters of the Vehicle," has been granted to Strong Force Tp Portfolio 2022 LLC. This invention, filed on October 8, 2023, and published online on July 8, 2025, describes a system that uses artificial intelligence

Machine learning

Accelerating Battery Materials Research with Advanced Modeling and Machine Learning

Researchers at the Swiss Federal Laboratories for Materials Science and Technology have made significant advancements in battery materials research, leveraging advanced modeling and machine learning to accelerate the discovery of novel battery materials. However, the integration of these materials into battery cells still requires experimental validation. The development and validation

Machine learning

Patent Application for Parking Zone Mapping and Vehicle Localization Using Mixed-Domain Neural Network with Altitude Compensation

The patent application, filed on January 5, 2024, by inventors Rachid Benmokhtar, Hung-Cheng Huang, Lihao Wang, and Xinhua Xiao, proposes a system and method for mapping parking zones and localizing vehicles using a mixed-domain neural network with altitude compensation. The system includes a plurality of image sensors mounted to a

Machine learning

Robust Defense Against Data Reconstruction Attack in Federated Industrial Intrusion Detection Systems

Research from Information Technology University has shown that industrial intrusion detection systems are crucial in defending digital industrial infrastructures against cyber threats. The study proposed a federated neural-network-based gradient boosting method, FNGB, which utilizes a privacy-preserving mechanism, GradProtect, and an adaptive learning rate method, DynamicLR, to mitigate data reconstruction attacks

Machine learning

Advanced Machine Learning Techniques to Combat Cyber Threats

A recent study published in PLOS One explores the efficacy of transfer learning with a meta-learner in detecting and preventing distributed denial-of-service (DDoS) attacks on networks. The research highlights the limitations of traditional machine learning (ML) models in handling categorical datasets and proposes an ensemble approach using deep learning (DL)

Machine learning

Researchers Develop Machine Learning Approach to Counter Adversarial SQL Injection Attacks

Researchers from the University of Cagliari in Italy have developed a machine learning approach to counter adversarial SQL injection attacks, which are a type of web attack that can compromise the security of web applications. The researchers' study, published in the IEEE Transactions on Information Forensics and Security journal,

Machine learning

Besemah Language Translation Machine Model Based on Machine Learning

Research at Universitas Bina Darma in Indonesia aims to develop a translation machine for the Besemah language, which is spoken by a tribe in South Sumatra Province. The study utilizes machine learning and neural networks to create a model that can translate the Besemah language into Indonesian and vice versa.

Machine learning

Neural Network Models for Prediction of Biological Activity using Molecular Dynamics Data

Researchers at the Karlsruhe Institute of Technology (KIT) have developed neural network models that can predict the biological activity of complex molecules using molecular dynamics data. According to the study, these models can accurately predict the cytotoxic activity of similar peptide analogs and reliably distinguish between the photoisomers of the

Machine learning

Artificial Neural Networks Show Promise in Wastewater Treatment

Scientists at Konya Technical University in Konya, Turkey have made a breakthrough in using artificial neural networks to optimize adsorption processes for wastewater treatment. The research, which focused on activated olive stone (AOS) as an eco-friendly adsorbent, demonstrated a 93% removal efficiency of Methylene Blue (MB) dye from aqueous solutions.

Machine learning

Machine Learning Algorithm for Assessing Photovoltaic Panels Partial Shading Losses

Researchers at the University of Porto have developed a machine learning algorithm to identify and assess the impact of partial shading on photovoltaic panels. According to the study, partial shading can reduce production and accelerate aging of these panels. The algorithm, which utilizes K-means clustering and a Long Short-Term Memory

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