Stochastic and deterministic processes in Asymmetric Tsetlin Machine. [PDF]
Elmisadr N, Belaid MB, Yazidi A.
europepmc +1 more source
ABSTRACT Per‐ and polyfluoroalkyl substances (PFAS) are persistent environmental contaminants widely recognized for their resistance to degradation and potential adverse health effects. The treatment of PFAS‐contaminated aqueous media (e.g., drinking water, wastewater, and leachate) has been extensively studied in the published literature; however, the
Mohamed S. Mohamed, Krishna R. Reddy
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Leveraging topological indices and machine learning for advanced prediction of antidepressant drug properties. [PDF]
Zhang G +6 more
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A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
Comparative Analysis of Machine Learning Methods with Chaotic AdaBoost and Logistic Mapping for Real-Time Sensor Fusion in Autonomous Vehicles: Enhancing Speed and Acceleration Prediction Under Uncertainty. [PDF]
Bilban M, İnan O.
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Symbol‐Level GRAND‐Assisted Detection for Polar‐Coded Spatial Modulation in MIMO Systems
This research presents an integrated polar‐coded spatial modulation (PCSM) transceiver scheme for MIMO transmission over Rayleigh fading channels. The proposed architecture employs linear spatial signal processing for antenna and symbol estimation, followed by symbol‐level guessing random additive noise decoding (symbol‐level GRAND)–assisted detection ...
Abhilasha Gautam +2 more
wiley +1 more source
Diagnosis of treatment-related changes in children and adolescents with brain and spinal tumors: a cost-effectiveness analysis using MRI and [18 F]FET PET. [PDF]
Rosen J +12 more
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As fragility and risk modeling techniques and computational capabilities evolve, complemented by moving toward more routine and systematic seismic risk assessment of all buildings and critical infrastructure, the authors pose a few critical questions to investigate how the U.S. Geological Survey (USGS) National Seismic Hazard Models (NSHMs) can be used
Kishor S. Jaiswal, N. Simon Kwong
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Optimizing genomic sampling for demographic and epidemiological inference with Markov decision processes. [PDF]
Rasmussen DA, Bursell MG, Burkhart F.
europepmc +1 more source
As seismic design paradigms shift toward functional recovery, there is a need for efficient methods to achieve desired decision variables (DVs), such as probability of replacement, repair cost, and downtime of the building, for seismically isolated buildings.
Huy G. Pham, Tracy C. Becker
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