Speech Recognition with Cochlea‐Inspired In‐Sensor Computing
Traditional speech recognition methods rely on software‐based feature extraction that introduces latency and high energy costs, making them unsuitable for low‐power devices. A proof‐of‐concept demonstration is provided of a bioinspired tonotopic sensor for speech recognition that mimics the human cochlea, using a spiral‐shaped elastic metamaterial. The
Paolo H. Beoletto +4 more
wiley +1 more source
Advances in IoT networks using privacy-preserving techniques with optimized multi-head self-attention model for intelligent threat detection based on plant rhizome growth optimization. [PDF]
Alkhonaini MA +7 more
europepmc +1 more source
A Dynamic Processing System for Sensor Data in IoT
Minbo Li, Yanling Liu, Yuanfeng Cai
openalex +1 more source
Securing Generative Artificial Intelligence with Parallel Magnetic Tunnel Junction True Randomness
True random numbers can protect generative artificial intelligence (GAI) models from attacks. A highly parallel, spin‐transfer torque magnetic tunnel junction‐based system is demonstrated that generates high‐quality, energy‐efficient random numbers.
Youwei Bao, Shuhan Yang, Hyunsoo Yang
wiley +1 more source
Enhanced IoT threat detection using Graph-Regularized neural networks optimized by Sea-Lion algorithm. [PDF]
Santhosh DT +5 more
europepmc +1 more source
OS for the IoT - Goals, Challenges, and Solutions
Emmanuel Baccelli +4 more
openalex +1 more source
IOT-ENABLED KNOWLEDGE SHARING-BASED COLLABORATIVE SOFTWARE MAINTENANCE DESIGN APPROACH
Ruiyang Chen, Chao-Tsong Fangtsou
openalex +2 more sources
Reduced hardware architecture for energy-efficient IoT healthcare sensor nodes [PDF]
Yang Wei Lim +5 more
openalex +1 more source
Viscoelastic Behavior of Polyamide 6–COC Blends: Role of Crystallinity and Frequency‐Domain Modeling
Schematic overview of the study: Polyamide 6 (PA6) was blended with amorphous cycloolefin copolymer (COC) via melt blending to systematically tailor crystallinity. The resulting blends were characterized using SEM, DSC, and DMA, enabling construction of frequency‐temperature master curves.
Sameer Kulkarni +6 more
wiley +1 more source
Development and Evaluation of a Novel IoT Testbed for Enhancing Security with Machine Learning-Based Threat Detection. [PDF]
Farag W +4 more
europepmc +1 more source

