Results 71 to 80 of about 176 (168)

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

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

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

Advanced Intelligent Systems, EarlyView.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen, Ali Çalhan, Murtaza Cicioğlu, Oğuzhan Demiryürek   +3 more
wiley   +1 more source

Taxing for a better life? The impact of environmental taxes on income distribution and inclusive education. [PDF]

Heliyon, 2023
Noubissi Domguia E.
europepmc   +1 more source

Drug-likeness prioritised selection identifies anti-<i>Escherichia coli</i> candidates confirmed by molecular docking, dynamics simulations, and antibacterial assays. [PDF]

J Enzyme Inhib Med Chem
Yu B, Zhu H, Xu L, Zhao X, Shi W.
europepmc   +1 more source

A Survey of Current Resources to Study lncRNA-Protein Interactions. [PDF]

Noncoding RNA, 2021
Philip M, Chen T, Tyagi S.
europepmc   +1 more source

Robust Representation Learning for Clean Feature Discovery in Incomplete Multi‐View Clustering

Advanced Intelligent Systems, EarlyView.
Robust feature discovery in incomplete multi‐view clustering is achieved by coupling RPCA‐based clean representation recovery with neural‐network‐assisted graph learning. The resulting RIMVC framework constructs cleaner and more discriminative graph‐structured representations from incomplete and noisy multi‐view data, improving clustering robustness ...
Ping Hu, Chenggang Lu, Rui Zhang, Haijun Yan, Yesong Xu   +4 more
wiley   +1 more source

A technical review of multi-omics data integration methods: from classical statistical to deep generative approaches. [PDF]

Brief Bioinform
Baião AR, Cai Z, Poulos RC, Robinson PJ, Reddel RR, Zhong Q, Vinga S, Gonçalves E.   +7 more
europepmc   +1 more source

Widespread amyloidogenicity potential of multiple myeloma patient-derived immunoglobulin light chains. [PDF]

BMC Biol, 2023
Sternke-Hoffmann R, Pauly T, Norrild RK, Hansen J, Tucholski F, Høie MH, Marcatili P, Dupré M, Duchateau M, Rey M, Malosse C, Metzger S, Boquoi A, Platten F, Egelhaaf SU, Chamot-Rooke J, Fenk R, Nagel-Steger L, Haas R, Buell AK.   +19 more
europepmc   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Machine learning-driven discovery of host genetic factors for paratuberculosis in goats within the one health framework. [PDF]

BMC Vet Res
Yaman Y, Eser A, Coşkun D, Aymaz R, Kişi YE, Keleş M, Yağcı S, Gülaydin Ö, Şengül SS, İrak K, Bolacalı M.   +10 more
europepmc   +1 more source