Results 71 to 80 of about 27,667 (170)

Towards Explainable Artificial Intelligence for GNSS Multipath LSTM Training Models

Sensors
This paper addresses the critical challenge of understanding and interpreting deep learning models in Global Navigation Satellite System (GNSS) applications, specifically focusing on multipath effect detection and analysis.
He-Sheng Wang, Dah-Jing Jwo, Zhi-Hang Gao   +2 more
doaj   +1 more source

GATransformer: A Graph Attention Network-Based Transformer Model to Generate Explainable Attentions for Brain Tumor Detection

Algorithms
Brain tumors profoundly affect human health owing to their intricacy and the difficulties associated with early identification and treatment. Precise diagnosis is essential for effective intervention; nevertheless, the resemblance among tumor forms often
Sara Tehsin, Inzamam Mashood Nasir, Robertas Damaševičius   +2 more
doaj   +1 more source

Bridging trust and performance in intelligent systems: Hybrid explainable AI approaches for interpreting large language models. [PDF]

PLoS One
P AS, P TS.
europepmc   +1 more source

TAE-IDS: a trust-aware explainable intrusion detection framework using attention-based meta-ensemble learning with blockchain validation. [PDF]

Front Artif Intell
Raj SAJ, Madiajagan M.
europepmc   +1 more source

Quantum computing in finance: a literature review and future directions for trustworthy financial AI. [PDF]

Front Artif Intell
Muzzioli S, Raheem F, Ferrara M, Giudici P, Siciliano R.   +4 more
europepmc   +1 more source

Explainable Machine Learning for Predicting Student Depression Risk. [PDF]

Bioengineering (Basel)
Cernechez R, Hosseini SE, Nadeem M, Pervez S, Salah M, Shahbaz M.   +5 more
europepmc   +1 more source

X-THREAT framework for adaptive and explainable deep learning-based minority-class and zero-day cyber threat detection. [PDF]

Sci Rep
Qaisarani SN, Badri SK, Khattak A, Alghazzawi DM, Alghamdi MY, Alkhozae M, Almakky A, Alhazmi RM, Asghar MZ.   +8 more
europepmc   +1 more source

Framework for developing explainable artificial intelligence models for neglected tropical disease diagnosis in low-resource settings. [PDF]

Front Digit Health
Innocent DC, Innocent RC, Innocent IP.
europepmc   +1 more source

Explainable Artificial Intelligence in Rotating Machinery Fault Diagnosis: A Comprehensive Review and Emerging Trends. [PDF]

Sensors (Basel)
Tang S, Ren Z, Zheng L, Wang J.
europepmc   +1 more source

Convolutional neural networks for medical imaging in resource-constrained settings: a scoping review of architectures, performance, and deployment challenges. [PDF]

Front Artif Intell
Innocent DC, Innocent RC, Innocent IP.
europepmc   +1 more source