Results 151 to 160 of about 73,803 (311)

Applications of Poisson-Hidden Markov Model

, 2015
Some real discrete time-series counts can be considered as the random variables which follow Poisson distribution governed by Hidden Markov Chain. In this paper, a Poisson-Hidden Markov Model is employed to capture the switching between two states in ...
Huang, X.X., Cheng, J.
core  

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

rDNAmine: A New Tool for the Analysis of Long Repetitive Sequences

Yeast, EarlyView.
This work introduces a novel approach for analysing long repetitive genomic sequences, combining a method to isolate large DNA molecules from individual chromosomes. We also describe the bioinformatics tool rDNAmine, which enables the isolation of long‐repeat sequences from reads obtained using the Oxford Nanopore method, as well as their preliminary ...
Agnieszka Czarnocka‐Cieciura, Natalia Gumińska   +1 more
wiley   +1 more source

Kajian Model Hidden Markov Kontinu dan Aplikasinya pada Harga Beras

, 2010
Continuous hidden Markov model with discrete time (Elliot et al. 1995) is a model consists of the cause of event and observation process. This model assumes that the cause of event is a Markov chain in discrete time, observed indirectly.
Musafa
core  

Cost‐Optimal Building Energy System Scheduling Integrating Solar Irradiance Forecasting via LSTM‐Attention‐TCN Model

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Building energy systems integrating multiple energy sources can effectively reduce energy consumption and facilitate renewable energy integration. Integrating electrical energy storage (EES) into these systems helps accommodate the increasing share of renewables; however, the stochastic and intermittent nature of solar power still poses ...
Zhengtian Wu, Jianyu Li, Yang Gao, Chuangyin Dang, Chao Tang, Yuansheng Li, Xinmiao Wang, Jinpeng Chen, Hongbo Gao, Xinyin Xu   +9 more
wiley   +1 more source

Perancangan Program Aplikasi Verifikasi Tanda Tangan Menggunakan Metode Hidden Markov Model Secara Offline

, 2008
Verification signature system is one of the security systems used to determine personal right in accessing certain resource or information. Signature considered to be a good identifies appliance, in which autograph cannot be stolen and loaned to others ...
Wikaria, Gazali, Listy, Indriati, Haryono, Soeparno   +2 more
core  

Uplink power control via adaptive Hidden-Markov-Model-Based pathloss estimation

, 2013
Dynamic variations in channel behavior is considered in transmission power control design for cellular radio systems. It is well known that power control increases system capacity, improves Quality of Service (QoS), and reduces multiuser interference. In
H Zhang (2942076), Pubudu Pathirana (13089972)   +1 more
core  

Wind, waves, wing loading and the flight energetics of giant petrels

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Wind is a major factor driving seabird movement and energetics, the effects of which are modulated by morphology. Developments in tagging technology now make it possible to test predictions from aerodynamic theory about the effects of wind on flight performance in free ...
Madeline E. Hallet, Richard A. Phillips, Ian J. Maywar, Lesley H. Thorne   +3 more
wiley   +1 more source