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Academic Articles & Research Papers
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Jürgen Soom, Isabel Boavida, Renan Leite, Maria João Costa et al. • Ecological Informatics
(2025)
The need for efficient approaches to track and assess fish behavior in rivers impacted by hydropeaking is increasing. Nonetheless, employing an automated camera system for underwater monitoring requires that the algorithms function under hi...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.ecoinf.2025.103196
Bernd Jähne, Horst W. Haussecker, Peter Geißler (1999)
Contents of Volume One: Preface. Contributors. B. Jahne, Introduction. Illumination and Image Formation. H. Hausecker, Radiation. H. Hausecker, Interaction of Radiation with Matter. P. Geisler, Geometric and Wave Optics. H. Hausecker, Radio...
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Bruce G. Baumgart • Stanford University eBooks
(1974)
Abstract : The main contribution of this thesis is the development of a three dimensional geometric modeling system for application to computer vision. In computer vision geometric models provide a goal for descriptive image analysis, an or...
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Aleksey Viktorovich Skorokhodov, Sergey Vladimirovich Aksenov, Andrey Vladimirovich Aksenov, Dmitriy Nikolaevich Laykom • Известия Томского политехнического университета: Инжиниринг георесурсов
(2017)
The relevance of the research is caused by the necessity to develop algorithms and software to classify the cloud types based on single-layer cloud on the satellite images received from MODIS spectral radiometer used in Terra and Aqua remot...
DOAJ
Open Access (DOAJ)
Md Golam Kibria, Md Shohel Parvez, Palash Saha, Subrata Talapatra • Heliyon
(2023)
Background: Nowadays, computer users are facing musculoskeletal disorders (MSDs) and visual symptoms. Prolonged sitting in inappropriate, awkward, and static postures on the computer workstation may cause musculoskeletal disorders (MSDs). S...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.heliyon.2023.e22179
Nachimuthu Karunanithi, William J. Grenney, Darrell Whitley, Ken D. Bovee • Journal of Computing in Civil Engineering
(1994)
The surface‐water hydrographs of rivers exhibit large variations due to many natural phenomena. One of the most commonly used approaches for interpolating and extending streamflow records is to fit observed data with an analytic power model...
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DOI: https://doi.org/10.1061/(asce)0887-3801(1994)8:2(201)
David M. Skapura (1995)
Foundations. Motivation. Neural-Network Fundamentals. Single Neuron Computations. Network Computations. Network Simulation. Foundations Summary. Suggested Readings. Bibliography. Paradigms. The Backpropagation Network. The Counterpropagatio...
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Sundaram Senthilraj, Ramachandran Raja, Jinde Cao, Habib M. Fardoun • Nonlinear Analysis
(2019)
This paper focuses on the problem of delay-dependent robust dissipativity analysis for a class of stochastic fuzzy neural networks with time-varying delay. The randomly occurring uncertainties under consideration are assumed to follow certa...
DOAJ
Open Access (DOAJ)
DOI: 10.15388/NA.2019.4.5
Timothée Corchia, Bertrand Bonan, Nemesio Rodríguez-Fernández, Gabriel Colas et al. • Remote Sensing
(2023)
In this work, Advanced SCATterometer (ASCAT) backscatter data are directly assimilated into the interactions between soil, biosphere, and atmosphere (ISBA) land surface model using Meteo-France’s global Land Data Assimilation System (LDAS-M...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs15174258
Xuan Chen, Zihang Li, Yong Han, Liping Yang et al. • Translational Psychiatry
(2025)
Abstract The persistence of drug memories accounts for the high risk of drug relapse, which is a major challenge in the treatment of substance use disorders. However, the neurobiological underpinnings, especially the dynamic changes of brai...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41398-025-03667-y
Kevin M. Swingler (1996)
Techniques for building neural networks: introduction what are neural networks? how does neural computing differ from traditional programming? how are neural networks built? how do neural networks learn? what do I need to build an MLP? the ...
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Marcus D. Odom, Ramesh Sharda • International Joint Conference on Neural Networks (IJCNN)
(1990)
A neural network model is developed for prediction of bankruptcy, and it is tested using financial data from various companies. The same set of data is analyzed using a more traditional method of bankruptcy prediction, multivariate discrimi...
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DOI: https://doi.org/10.1109/ijcnn.1990.137710
Lars Kai Hansen, Peter Salamon • IEEE Transactions on Pattern Analysis and Machine Intelligence
(1990)
Several means for improving the performance and training of neural networks for classification are proposed. Crossvalidation is used as a tool for optimizing network parameters and architecture. It is shown that the remaining residual gener...
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Open Access
DOI: https://doi.org/10.1109/34.58871
Florence Choong Chiao Mei, Bryan Ng Jan Hong • Journal of Engineering Technology and Applied Physics
(2025)
Agriculture is one of the largest sectors that contribute to the economic growth of countries, including Malaysia. However, plant diseases affect the quality of the harvest and impede farmers’ maximum yield output. Therefore, early detectio...
DOAJ
Open Access (DOAJ)
DOI: 10.33093/jetap.2025.7.1.2
P. Jagadesh, J. Harshini, D. Arul, Solomon Oyebisi et al. • Discover Civil Engineering
(2026)
Abstract This study predicts the Air Quality Index (AQI) in the Coimbatore region using Artificial Neural Networks (ANN) to enhance air quality management and environmental science. The researchers measured six input variables over a two-ye...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44290-026-00423-z
LiMin Fu (1994)
From the Publisher:
Neural Networks in Computer Intelligence provides basic concepts,algorithms,and analysis of important neural network models developed to date,with emphasis on the importance of knowledge in intelligent system design. Th...
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Jinming Zou, Yi Han, Sung‐Sau So • Methods in molecular biology
(2008)
The artificial neural network (ANN), or simply neural network, is a machine learning method evolved from the idea of simulating the human brain. The data explosion in modem drug discovery research requires sophisticated analysis methods to ...
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DOI: https://doi.org/10.1007/978-1-60327-101-1_2
Sudheesh Parathakkatt, Vaisakh Kizhuveetil, Gokul G. K., Rajashree Ajay Markandewar • eXPRESS Polymer Letters
(2026)
Worm-like micelles (WLMs) are dynamic, self-assembling supramolecular structures that exhibit complex viscoelastic behaviour due to their ability to undergo reversible scission, fusion, branching, and sequence rearrangement. This review pro...
DOAJ
Open Access (DOAJ)
DOI: 10.3144/expresspolymlett.2026.36
Johann Gasteiger, Jure Zupan • Angewandte Chemie International Edition in English
(1993)
Abstract The capabilities of the human brain have always fascinated scientists and led them to investigate its inner workings. Over the past 50 years a number of models have been developed which have attempted to replicate the brain's vario...
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DOI: https://doi.org/10.1002/anie.199305031
H. K. D. H. Bhadeshia • ISIJ International
(1999)
There are difficult problems in materials science where the general concepts might be understood but which are not as yet amenable to scientific treatment. We are at the same time told that good engineering has the responsibility to reach o...
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Open Access
DOI: https://doi.org/10.2355/isijinternational.39.966