Results 101 to 110 of about 53,114 (263)

Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome

Genetics and Molecular Biology, 2003
Dependencies in DNA sequences are frequently modeled using Markov models. However, Markov chains cannot account for heterogeneity that may be present in different regions of the same DNA sequence.
Silva Cibele Q. da
doaj  

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source

Diving Deeper Into Mechanisms of Acrylamide‐Induced Toxicity: RNA Sequencing Reveals Transcriptomic Alteration and Retrotransposon Expression in Drosophila melanogaster

Environmental Toxicology, EarlyView.
ABSTRACT Given the inevitability of human and animal exposure to acrylamide, there is increasing concern regarding its potential health risks. While a number of molecular mechanisms have been proposed, the complexity of acrylamide toxicological pathways and interactions remains incompletely characterized.
Oluwabukola Mary Farodoye, Titilayomi Ayomide Otenaike, Daniela Moreira Mombach, Monica Medeiros Silva, Amos Olalekan Abolaji, Elgion Lucio Da Silva Loreto   +5 more
wiley   +1 more source

The performance of drones and artificial intelligence for monitoring sage‐grouse at leks

Wildlife Biology, EarlyView.
Accurately monitoring sage‐grouse populations is critical for conservation, yet traditional ground‐based visual surveys face challenges in scalability and consistency, prompting the exploration of innovative drone‐based methodologies enhanced by artificial intelligence.
Lance B. McNew, Jason Hanlon, Ilya Buzytsky   +2 more
wiley   +1 more source

Linking telemetry data with forage availability maps advances information for moose management

Wildlife Biology, EarlyView.
Evidence‐based forest and wildlife management requires precise estimates of forage availability for spatial planning and conflict mitigation. Recently, novel datasets and associated maps have been developed for use in Swedish forest and wildlife management.
Lukas Graf, Wiebke Neumann, Göran Ericsson, Annika M. Felton   +3 more
wiley   +1 more source

Identification of Yeast Protein Sequences With Similarity to the ESCRT‐III Protein Snf7

Yeast, EarlyView.
ABSTRACT Endosomal sorting complex required for transport (ESCRT‐III) is a membrane remodeling complex involved in a large number of cellular processes. It appears to perform an essential function in eukaryotes, since to date no eukaryotic organism completely devoid of ESCRT‐III has been found.
Thomas Brune, Ralf Kölling
wiley   +1 more source

Observer-Based Asynchronous Guaranteed Cost Control of 2-D Markov Jump Roesser Systems With Nonideal Transition Probabilities

IEEE Access
This paper mainly investigates the asynchronous observer-based guaranteed cost control problem for two-dimensional Markov jump Roesser systems with nonideal transition probabilities.
Jiazheng Liu, Yang Yang, Yaru Song
doaj   +1 more source

Reinforcement Learning With Timed Constraints for Robotics Motion Planning

Artificial Intelligence for Engineering, EarlyView.
This work presents a unified automata‐based reinforcement learning framework that enforces MITL time‐bounded task specifications in both MDPs and POMDPs. Results from grid‐world and office scenarios show robust policy learning under stochastic dynamics and partial observability.
Zhaoan Wang, Junchao Li, Mohammad Mahdi Dehghan Pir, Shaoping Xiao   +3 more
wiley   +1 more source

Classification Among Hidden Markov Models.

, 2019
An important task in AI is one of classifying an observation as belonging to one class among several (e.g. image classification). We revisit this problem in a verification context: given k partially observable systems modeled as Hidden Markov Models (also called labeled Markov chains), and an execution of one of them, can we eventually classify which ...
Akshay, S., Bazille, Hugo, Fabre, Eric, Genest, Blaise   +3 more
openaire   +4 more sources

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