Ole‐Christoffer Granmo

On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT

Rahul Jaiswal, Per‐Arne Andersen, Linga Reddy Cenkeramaddi, Lei Jiao et autres

The rapid evolution of digital health technologies is redefining healthcare services worldwide. The integration of wireless communication and Internet-enabled medical devices within Internet of Medical Things (IoMT) networks enables continuous, real-time patient monitoring. However, this increased connectivity raises cybersecurity and patient safety …

no (code pays fourni par la source)

Leveraging Interpretable Tsetlin Machine for PDF Malware Detection

Rahul Jaiswal, Ole‐Christoffer Granmo

In the digital era, Portable Document Format (PDF) is one of the most widely used file formats for storing and exchanging digital documents due to its platform independence and rich functionality. However, these same capabilities have also made PDF files an attractive …

Leveraging Interpretable Tsetlin Machine for PDF Malware Detection

Rahul Jaiswal, Ole‐Christoffer Granmo

In the digital era, Portable Document Format (PDF) is one of the most widely used file formats for storing and exchanging digital documents due to its platform independence and rich functionality. However, these same capabilities have also made PDF files an attractive …

no, in (code pays fourni par la source)

A Tsetlin Machine-Driven Intrusion Detection System for Next-Generation IoMT Security

Rahul Jaiswal, Per‐Arne Andersen, Linga Reddy Cenkeramaddi, Lei Jiao et autres

The rapid adoption of the Internet of Medical Things (IoMT) is transforming healthcare by enabling seamless connectivity among medical devices, systems, and services. However, it also introduces serious cybersecurity and patient safety concerns as attackers increasingly exploit new methods and emerging vulnerabilities …

no (code pays fourni par la source)

The Tsetlin Machine: A “Third Way” in QSAR Modeling

Paul F. A. Clarke, Ivan Čmelo, Runar Helin, Mayur Kishor Shende et autres

lauses) for descriptor-wise contributions to regions of predicted chemical space. These methods show strong alignment of TM-QSAR interpretations to known ligand-protein interactions of the MOR target and gives nonlinear, conditional interpretations for greater predicted bioactivity. Given this combination of accuracy, computational efficiency …

no, us, ie, cz (code pays fourni par la source)

On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT

Rahul Jaiswal, Per‐Arne Andersen, Linga Reddy Cenkeramaddi, Lei Jiao et autres

The rapid evolution of digital health technologies is redefining healthcare services worldwide. The integration of wireless communication and Internet-enabled medical devices within Internet of Medical Things (IoMT) networks enables continuous, real-time patient monitoring. However, this increased connectivity raises cybersecurity and patient safety …

no, in (code pays fourni par la source)

FastOmniTMAE: Parallel Clause Learning for Scalable and Hardware-Efficient Tsetlin Embeddings

Ahmed K. Kadhim, Lei Jiao, Rishad Shafik, Ole‐Christoffer Granmo et autres

Embedding models in natural language processing (NLP) increasingly rely on deep architectures such as BERT, while simpler models such as Word2Vec provide efficient representations but limited interpretability. The Tsetlin Machine (TM) offers an alternative logic-based learning paradigm. Omni TM Autoencoder (Omni TM-AE) …

FastOmniTMAE: Parallel Clause Learning for Scalable and Hardware-Efficient Tsetlin Embeddings

Ahmed K. Kadhim, Lei Jiao, Rishad Shafik, Ole‐Christoffer Granmo et autres

Embedding models in natural language processing (NLP) increasingly rely on deep architectures such as BERT, while simpler models such as Word2Vec provide efficient representations but limited interpretability. The Tsetlin Machine (TM) offers an alternative logic-based learning paradigm. Omni TM Autoencoder (Omni TM-AE) …

no, gb (code pays fourni par la source)

The Tsetlin Machine: A “Third Way” in QSAR Modelling

Paul Clarke, Ivan Čmelo, Runar Helin, Mayur Kishor Shende et autres

no, us, ie, cz (code pays fourni par la source)

Multisensor Fusion Using Composite Tsetlin Machine With Adaptive Feature Bank Selection

Thrishank Hesaraghatta Shivakumar, Bethi Pardhasaradhi, Srinivas Boppu, Ole‐Christoffer Granmo et autres

A wide range of applications relies on multi-sensor setups to enhance their perception and decision-making capabilities. These sensors generate raw time-series data that can be transformed into the frequency domain using feature banks such as MFCC, Chroma-STFT, and spectral descriptors. Most deep …

in, no (code pays fourni par la source)

A Tsetlin Machine-driven Intrusion Detection System for Next-Generation IoMT Security

Rahul Jaiswal, Per‐Arne Andersen, Linga Reddy Cenkeramaddi, Lei Jiao et autres

The rapid adoption of the Internet of Medical Things (IoMT) is transforming healthcare by enabling seamless connectivity among medical devices, systems, and services. However, it also introduces serious cybersecurity and patient safety concerns as attackers increasingly exploit new methods and emerging vulnerabilities …

Explainable and Hardware-Efficient Jamming Detection for 5G Networks Using the Convolutional Tsetlin Machine

Vojtech Halenka, Mohammadreza Amini, Per‐Arne Andersen, Ole‐Christoffer Granmo et autres

All applications in fifth-generation (5G) networks rely on stable radio-frequency (RF) environments to support mission-critical services in mobility, automation, and connected intelligence. Their exposure to intentional interference or low-power jamming threatens availability and reliability, especially when such attacks remain below link-layer observability. …