Results 91 to 100 of about 128,271 (260)
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
PHONOCARDIOGRAM SIGNAL ANALYSIS FOR MURMUR DIAGNOSING USING SHANNON ENERGY ENVELOP AND SEQUENCED DWT DECOMPOSITION [PDF]
This paper presents a proposed procedure to analyze the PCG (Phono-CardioGram) signal recorded by an electronic stethoscope. The procedure concludes heart sound cycle segmentation followed by a detecting step to categorize the normal cases from that ...
MAZIN Z. OTHMAN, ASMAA N. KHALEEL
doaj
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Equilibrium Propagation for Dissipative Dynamics
This work develops local learning rules for damped linear dynamical systems, including mechanical structures and resistor‐inductor‐capacitor (RLC) circuits, by leveraging an effective action formulation. It demonstrates how physical systems can autonomously compute gradients and learn temporal patterns, enabling applications such as sound ...
Marc Berneman, Daniel Hexner
wiley +1 more source
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley +1 more source
Efficient Anomaly Detection Algorithm for Heart Sound Signal
According to the latest report by the WHO, cardiovascular disease claims approximately 17.9 million lives annually, making it one of the leading causes of mortality.
Zhihai Liu, Wen Liu, Zheng Gu, Feng Yang
doaj +1 more source
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
Thomas Sühn,1 Moritz Spiller,1 Rutuja Salvi,2 Stefan Hellwig,2 Axel Boese,1 Alfredo Illanes,1 Michael Friebe1 1INKA - Innovation Laboratory for Image Guided Therapy, Medizinische Fakultät, Otto-Von-Guericke-Universität, Magdeburg, Sachsen ...
Sühn T +6 more
doaj

