IEEE transactions on pattern analysis and machine intelligence
Apr 1, 2026
The widespread proliferation of fake news on the Internet, especially in multi-modal formats, poses a substantial threat to society. Most deep learning-based approaches for fake news detection yield accurate predictions but lack explainability. Exist... read more
IEEE transactions on pattern analysis and machine intelligence
Apr 1, 2026
Deep Reinforcement Learning (DRL) methods have shown remarkable success in many applications, yet their high energy consumption limits their practicability. Recent studies incorporated energy-efficient Spiking Neural Networks (SNNs) to build Spiking ... read more
IEEE transactions on pattern analysis and machine intelligence
Apr 1, 2026
Hardware image signal processing (ISP) transforms RAW inputs into high-quality RGB images through a series of processing modules, each with numerous tunable parameters. Traditionally, these parameters are manually tuned by imaging experts, a time-con... read more
The study of the nicotine addiction mechanism is of great significance in both nicotine withdrawal and brain science. The detection of addiction-related brain circuitry using functional magnetic resonance imaging (fMRI) is a critical step in studying... read more
Ergonomics or human factors engineering (HFE) mainly exploits human experiments to discover one's cognitive and behavioral mechanisms. Such a paradigm, however, suffers from the scale of subject group and the extent to which they can stand for the wh... read more
This article presents a new design of self-triggered impulsive control (STIC) for prescribed-time stability (PTS) of nonlinear systems. A prescribed-time convergent function is proposed to determine the impulsive control strength together with the in... read more
IEEE transactions on biomedical circuits and systems
Apr 1, 2026
The liquid state machine (LSM), a reservoir computing variant of spiking neural networks (SNNs), has been widely adopted for its low training complexity. In this work, we propose C2-LSM, a neuromorphic processor designed through algorithm-hardware co... read more
Sepsis, a life-threatening condition triggered by dysregulated host response to infection, poses significant global health challenges. Identifying lipopolysaccharide (LPS)-related biomarkers and underlying mechanisms remains critical, yet underexplor... read more
Integrating artificial intelligence (AI) into drug discovery revolutionizes pharmaceutical research by significantly accelerating the identification, optimization, and development of novel therapeutics. Conventional drug discovery methods, known for ... read more
Epilepsy is a neurological disorder of the brain that generates seizures due to abnormal electrical activity. The diagnosis and management of the disease primarily depend on recordings of the EEG. A multistage methodology for seizure detection with e... read more
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