Results 121 to 130 of about 8,467,026 (293)

Information‐Theoretic Framework for Allosteric Communication Pathway Prediction From Protein Structure

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT Allosteric communication is fundamental to the function of proteins, but identifying the residue‐level pathways through which signals travel and their directionality is still a major challenge. Here we present a multi‐metric information‐theoretic framework that identifies candidate allosteric communication pathways from a single protein ...
Aysima Hacisuleyman, Dirk Fasshauer
wiley   +1 more source

VAE‐Based SPC for Botnet Detection in IoT Systems

Quality and Reliability Engineering International, EarlyView.
ABSTRACT The rapid proliferation of Internet of Things (IoT) devices has created new security risks, particularly botnet infections. This paper proposes an unsupervised monitoring framework that combines a β$\beta$‐variational autoencoder (VAE) with multivariate statistical process control (SPC) for botnet detection in IoT networks.
Jorge Proaño, Miguel Flores, Javier Tarrío‐Saavedra, Salvador Naya   +3 more
wiley   +1 more source

Few Annotations, High Accuracy: Transfer Learning and Data Augmentation Improve Passive Acoustic Monitoring of the Vulnerable African Manatee

Remote Sensing in Ecology and Conservation, EarlyView.
Can deep learning reliably detect a threatened species in passive acoustic monitoring with few annotations? Across 52 sites and 600 recording days, we compared two deep learning recognizers with the traditional machine learning Kaleidoscope for detecting African manatee vocalizations.
Lucas Dubus, Auguste Verdier, Nina Giotto, Grace Mbemba, Gabriel Michelin, Baptiste Mulot, Stéphanie Manel, David Mouillot   +7 more
wiley   +1 more source

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

SmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo, Rodrigo S. Jamisola Jr., Molaletsa Namoshe   +2 more
wiley   +1 more source

Introducing Busy Customer Portfolio Using Hidden Markov Model [PDF]

Iranian Journal of Management Studies, 2011
Due to the effective role of Markov models in customer relationship management (CRM), there is a lack of comprehensive literature review which contains all related literatures.
Sepideh Emam, Abdollah Aaghaie
doaj  

Artificially intelligent accompaniment using Hidden Markov Models to model musical structure [PDF]

, 2008
Background in Music Performance and Accompaniment. Musical accompanists may not always be available during practice, or the available accompanist may not have the technical ability necessary.
Alan Smaill (16064372), Anna Jordanous (3195936), Jordanous, Anna, Smaill, Alan   +3 more
core  

Machine Learning for Programmable Nanosystems: From Liposome Formulation to DNA Origami and Hybrid Vesicles

Small, EarlyView.
This mini review highlights how machine learning can accelerate the design of programmable nanosystems. It summarizes data‐driven approaches for predicting liposome properties, guiding DNA origami design and image analysis, and optimizing emerging liposome‐DNA hybrid platforms.
Daniel Q. Zhang, Matthew A. B. Baker
wiley   +1 more source

Impacts of Change‐Type and State‐Type System Qualities on Complex System Architectures

Systems Engineering, EarlyView.
ABSTRACT System qualities, such as scalability, expandability, and reconfigurability, are key requirements of complex systems. Requirements associated with system qualities are important factors in design trade space analyses, but systems engineering design methodologies make only limited use of these qualities, hindering a holistic understanding of ...
Christina F. Bridges, Benjamin W. Stirgwolt   +1 more
wiley   +1 more source

The Realization Problem for Hidden Markov Models

Mathematics of Control, Signals, and Systems, 1999
Let \(X\) be a discrete-time finite-state Markov process and let \(Y=h(X,Z)\), where \(Z\) is some i.i.d. sequence, and where the output \(Y\) can take a finite number of values. This paper considers the realization question: given the probabilities of all finite-length output strings, under what circumstances and how can one construct an \(X\) as ...
openaire   +1 more source

Modeling Pipeline Driving Behaviors: A Hidden Markov Model Approach [PDF]

Driving behaviors at intersection are complex because drivers have to perceive more traffic events than normal road driving and thus are exposed to more errors with safety consequences. Drivers make real-time responsesin a stochastic manner.
Xi Zou, David Levinson
core