Volume 12 (2024)
Volume 11 (2023)
Volume 10 (2022)
Volume 9 (2021)
Volume 8 (2020)
Volume 7 (2019)
Volume 6 (2018)
Volume 5 (2017)
Volume 4 (2016)
Volume 3 (2015)
Volume 2 (2014)
Volume 1 (2013)
Video Prediction Using Multi-Scale Deep Neural Networks

N. Shayanfar; V. Derhami; M. Rezaeian

Volume 10, Issue 3 , July 2022, , Pages 423-431

https://doi.org/10.22044/jadm.2022.11415.2305

Abstract
  In video prediction it is expected to predict next frame of video by providing a sequence of input frames. Whereas numerous studies exist that tackle frame prediction, suitable performance is not still achieved and therefore the application is an open problem. In this article multiscale processing is ...  Read More

Improving Speed and Efficiency of Dynamic Programming Methods through Chaos

H. Khodadadi; V. Derhami

Volume 9, Issue 4 , November 2021, , Pages 487-496

https://doi.org/10.22044/jadm.2021.10520.2191

Abstract
  A prominent weakness of dynamic programming methods is that they perform operations throughout the entire set of states in a Markov decision process in every updating phase. This paper proposes a novel chaos-based method to solve the problem. For this purpose, a chaotic system is first initialized, and ...  Read More

H.6.2.2. Fuzzy set
Improvement of Rule Generation Methods for Fuzzy Controller

N. Mohammadkarimi; V. Derhami

Volume 8, Issue 1 , January 2020, , Pages 49-54

https://doi.org/10.22044/jadm.2018.5593.1670

Abstract
  This paper proposes fuzzy modeling using obtained data. Fuzzy system is known as knowledge-based or rule-bases system. The most important part of fuzzy system is rule-base. One of problems of generation of fuzzy rule with training data is inconsistence data. Existence of inconsistence and uncertain states ...  Read More

H.6.3.2. Feature evaluation and selection
A Novel Architecture for Detecting Phishing Webpages using Cost-based Feature Selection

A. Zangooei; V. Derhami; F. Jamshidi

Volume 7, Issue 4 , November 2019, , Pages 607-616

https://doi.org/10.22044/jadm.2019.7183.1852

Abstract
  Phishing is one of the luring techniques used to exploit personal information. A phishing webpage detection system (PWDS) extracts features to determine whether it is a phishing webpage or not. Selecting appropriate features improves the performance of PWDS. Performance criteria are detection accuracy ...  Read More

H.3.12. Distributed Artificial Intelligence
Improving LNMF Performance of Facial Expression Recognition via Significant Parts Extraction using Shapley Value

M. Rezaei; V. Derhami

Volume 7, Issue 1 , January 2019, , Pages 17-25

https://doi.org/10.22044/jadm.2017.4676.1554

Abstract
  Nonnegative Matrix Factorization (NMF) algorithms have been utilized in a wide range of real applications. NMF is done by several researchers to its part based representation property especially in the facial expression recognition problem. It decomposes a face image into its essential parts (e.g. nose, ...  Read More

H.3.15.3. Evolutionary computing and genetic algorithms
Winner Determination in Combinatorial Auctions using Hybrid Ant Colony Optimization and Multi-Neighborhood Local Search

M. B. Dowlatshahi; V. Derhami

Volume 5, Issue 2 , July 2017, , Pages 169-181

https://doi.org/10.22044/jadm.2017.880

Abstract
  A combinatorial auction is an auction where the bidders have the choice to bid on bundles of items. The WDP in combinatorial auctions is the problem of finding winning bids that maximize the auctioneer’s revenue under the constraint that each item can be allocated to at most one bidder. The WDP ...  Read More

G.4. Information Storage and Retrieval
Web pages ranking algorithm based on reinforcement learning and user feedback

V. Derhami; J. Paksima; H. Khajah

Volume 3, Issue 2 , July 2015, , Pages 157-168

https://doi.org/10.5829/idosi.JAIDM.2015.03.02.05

Abstract
  The main challenge of a search engine is ranking web documents to provide the best response to a user`s query. Despite the huge number of the extracted results for user`s query, only a small number of the first results are examined by users; therefore, the insertion of the related results in the first ...  Read More

Yarn tenacity modeling using artificial neural networks and development of a decision support system based on genetic algorithms

Mohaddeseh Dashti; Vali Derhami; Esfandiar Ekhtiyari

Volume 2, Issue 1 , March 2014, , Pages 73-78

https://doi.org/10.22044/jadm.2014.187

Abstract
  Yarn tenacity is one of the most important properties in yarn production. This paper addresses modeling of yarn tenacity as well as optimally determining the amounts of the effective inputs to produce yarn with desired tenacity. The artificial neural network is used as a suitable structure for tenacity ...  Read More

QoS-Based web service composition based on genetic algorithm

Mohammad AllamehAmiri; Vali Derhami; Mohammad Ghasemzadeh

Volume 1, Issue 2 , July 2013, , Pages 63-73

https://doi.org/10.22044/jadm.2013.97

Abstract
  Quality of service (QoS) is an important issue in the design and management of web service composition. QoS in web services consists of various non-functional factors, such as execution cost, execution time, availability, successful execution rate, and security. In recent years, the number of available ...  Read More