Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates
This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin +4 more
wiley +1 more source
Cognitive Radio Networks: Technologies, Challenges and Applications. [PDF]
Xu Y, Zheng K, Liu X, Li Z, Liu J.
europepmc +1 more source
Filtenna with Frequency Reconfigurable Operation for Cognitive Radio and Wireless Applications. [PDF]
Abdelghany MA +3 more
europepmc +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
Schematic representation of M@E@CF nanosensors for detecting vesicular storage and release in cholinergic neurons and brain organoids. (A) Nano‐tip microelectrodes modification via molds fabricated through 3D printing. (B) the reaction mechanism for acetylcholine detection at the electrode interface.
Wanying Zhu +11 more
wiley +2 more sources
Efficient Deep Wavelet Gaussian Markov Dempster-Shafer Network-Based Spectrum Sensing at Very Low SNR in Cognitive Radio Networks. [PDF]
Jatti S, Tyagi A.
europepmc +1 more source
Multi-domain-fusion deep learning for automatic modulation recognition in spatial cognitive radio. [PDF]
Hou S +5 more
europepmc +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Recent Trends in Metabolomics by NMR Spectroscopy
AI tools were applied to analyze more than 5 000 publications indexed in Scopus (2018–2025), identifying key trends and research directions in NMR‐based metabolomics. The artificial intelligence‐assisted workflow classified papers into six main fields of application, human health, food and nutrition, veterinary science, plants, environment, and ...
Giorgio Di Paco +6 more
wiley +2 more sources
Optimized multi scale graph neural network with attention mechanism for cooperative spectrum sensing in cognitive radio networks. [PDF]
Nandhini P, Vimalnath S.
europepmc +1 more source

