Results 151 to 160 of about 25,855 (301)
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Deep Learning-Based Automatic Modulation Classification Using Robust CNN Architecture for Cognitive Radio Networks. [PDF]
Sensors (Basel), 2023 Abd-Elaziz OF, Abdalla M, Elsayed RA.
europepmc +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Advanced Intelligent Systems, EarlyView.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
Compressive spectrum sensing for 5G cognitive radio networks - LASSO approach. [PDF]
Heliyon, 2022 Koteeshwari RS, Malarkodi B.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source
Maximizing Average Throughput of Cooperative Cognitive Radio Networks Based on Energy Harvesting. [PDF]
Sensors (Basel), 2022 Wang Y, Chen S, Wu Y, Zhao C.
europepmc +1 more source
Biomimetic 3D Tactile Sensor System With Neuromorphic Encoding for Fascicle‐Level Feedback
Advanced Intelligent Systems, EarlyView.A 3D biomimetic tactile sensor system converts skin‐like mechanical interactions into neural stimulation‐ready spike patterns. Embedded slow‐ and fast‐adapting sensors distinguish sustained pressure from transient touch, while neuromorphic encoding preserves their temporal signatures.
Minseok Kim +4 more
wiley +1 more source
Spectrum Allocation in Cognitive Radio Networks Using Swarm Intelligence
, 2010 Cognitive radio is an emerging technique to improve the utilization of radio frequency spectrum in wireless networks. This paper discusses the problem of spectrum sharing among primary users and secondary users, and carries out the centralized spectrum ...
Zhang BW(张北伟) +2 more
core
Channel-Hopping Sequence and Rendezvous MAC for Cognitive Radio Networks. [PDF]
Sensors (Basel), 2022 Paul R, Jang J, Choi YJ.
europepmc +1 more source
AI &Innovation, EarlyView.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