Protein secondary structure prediction from amino acid sequences using a neural network classifier based on the Dempster-Shafer theory /

Protein secondary structure prediction from amino acid sequences using a neural network classifier based on the Dempster-Shafer theory /

Thesis (Master of Science (Computer Science)) - Universiti Teknologi Malaysia, 2003

Bibliografski detalji
Glavni autor:	189731 Satya Nanda Vel Arjunan
Format:
Jezik:	eng
Izdano:	Skudai : Universiti Teknologi Malaysia, 2003
Teme:	Artificial neural networks
Online pristup:	http://www.psz.utm.my/sla/billing/login.asp?mid=42436

Slični predmeti

Protein secondary structure prediction from amino acid sequences using a neural network classifier based on the Dempster-Shafer theory
od: Vel Arjunan, Satya Nanda
Izdano: (2003)

Classic works of the dempster-shafer theory of belief functions /
od: Yager, Ronald R., 1941-, i dr.
Izdano: (2008)

Protein secondary structure prediction based on denoeux belief neural network /
od: 189731 Satya Nanda Vel Arjunan, i dr.
Izdano: (2002)

Protein secondary structure prediction based on denoeux belief neural network /
od: 189731 Satya Nanda Vel Arjunan, i dr.
Izdano: (2002)

Assignment of protein sequence to functional family using neural network & Dempster-Shafer theory
od: Zaki, N. M., i dr.
Izdano: (2003)

Protein secondary structure prediction from amino acid sequence using artificial intelligence technique
od: Deris, Safaai, i dr.
Izdano: (2005)

GHSOM intrusion detection based on Dempster-Shafer theory
od: Jie SU, i dr.
Izdano: (2015-11-01)

GHSOM intrusion detection based on Dempster-Shafer theory
od: Jie SU, i dr.
Izdano: (2015-11-01)

UTMPred : Ab initio eight-state protien secondary structure predictor /
od: 189731 Satya Nanda Vel Arjunan, i dr.
Izdano: (2002)

Development of a robocup simulator team - T-Cells /
od: 189731 Satya Nanda Vel Arjunan
Izdano: (2000)

A new conflict management method in Dempster–Shafer theory
od: Jian Wang, i dr.
Izdano: (2017-03-01)

Spark Plug Fault Recognition Based on Sensor Fusion and Classifier Combination using Dempster–Shafer Evidence Theory
od: R., Mamat, i dr.
Izdano: (2015)

Dempster Shafer Untuk Sistem Diagnosa Gejala Penyakit Kulit Pada Kucing
od: Maura Widyaningsih, i dr.
Izdano: (2017-04-01)

Weighted cooperative spectrum sensing algorithm based on dempster-shafer evidence theory
od: Ya-jian ZHOU, i dr.
Izdano: (2012-12-01)

Weighted cooperative spectrum sensing algorithm based on dempster-shafer evidence theory
od: Ya-jian ZHOU, i dr.
Izdano: (2012-12-01)

Literature Survey Of Protein Secondary Structure Prediction
od: Vel Arjunan, Satya Nanda, i dr.
Izdano: (2001)

A probabilistic neural network data classifier /
od: 232113 Ahmadi Baharum
Izdano: (1995)

Multisensor Data Fusion for Water Quality Evaluation Using Dempster-Shafer Evidence Theory
od: Jian Zhou, i dr.
Izdano: (2013-11-01)

A Tunnel Fire Detection Method Based on an Improved Dempster-Shafer Evidence Theory
od: Haiying Wang, i dr.
Izdano: (2024-10-01)

Estimation of Driver Lane Change Intention Based on the LSTM and Dempster–Shafer Evidence Theory
od: Zhi-Qiang Liu, i dr.
Izdano: (2021-01-01)

ENSEMBLE SUPPORT VECTOR MACHINES AND DEMPSTER-SHAFER EVIDENCE THEORY FOR MACHINERY MULTI FAULT DIAGNOSIS /
od: Hui Kar Hoou,‡ 984-, author 654206, i dr.
Izdano: (2019)

ENSEMBLE SUPPORT VECTOR MACHINES AND DEMPSTER-SHAFER EVIDENCE THEORY FOR MACHINERY MULTI FAULT DIAGNOSIS /
od: Hui Kar Hoou, 1984-, author 654206, i dr.
Izdano: (2019)

Development of a hybrid AHP and Dempster-Shafer theory of evidence for project risk assessment problem
od: Albogami, Saad M., i dr.
Izdano: (2021)

Distributed multi‐station target tracking based on unscented particle filter and Dempster‐Shafer theory
od: Haoxuan Du, i dr.
Izdano: (2024-09-01)

Improved cooperative spectrum sensing scheme based on dempster-shafer theory in cognitive radio network
od: Mei-ting YU, i dr.
Izdano: (2014-03-01)

Assessment on Knowledge Network Sharing Capability of Industrial Cluster Based on Dempster-Shafer Theory of Evidence
od: Shengli Dai, i dr.
Izdano: (2014-01-01)

Improved cooperative spectrum sensing scheme based on dempster-shafer theory in cognitive radio network
od: Mei-ting YU, i dr.
Izdano: (2014-03-01)

Weighted fuzzy track association method based on Dempster–Shafer theory in distributed sensor networks
od: Lixin Fan, i dr.
Izdano: (2016-07-01)

A Dempster-Shafer theory based witness trustworthiness model to cope with unfair ratings in e-marketplace
od: Kot, Alex Chichung, i dr.
Izdano: (2013)

Risk assessment of groundwater pollution with a new methodological framework: application of Dempster-Shafer theory and GIS
od: Neshat, Aminreza, i dr.
Izdano: (2015)

Automatic landslide detection using Dempster–Shafer theory from LiDAR-derived data and orthophotos
od: Mezaal, Al-Karawi Mustafa Ridha, i dr.
Izdano: (2017)

A Ranking Procedure by Incomplete Pairwise Comparisons Using Information Entropy and Dempster-Shafer Evidence Theory
od: Dongbo Pan, i dr.
Izdano: (2014-01-01)

Closed-form interpretation of neural network classifiers with symbolic gradients
od: Sebastian J Wetzel
Izdano: (2025-01-01)

SISTEM PAKAR UNTUK DIAGNOSIS PENYAKIT PADA JAMUR DENGAN MENGGUNAKAN METODE VCIRS DAN DEMPSTER SHAFER
od: , TRISMAYANTI DWI P, i dr.
Izdano: (2014)

Aplikasi sistem informasi geografis dan teori Dempster-Shafer sebagai sistem deteksi dini penyakit unggas
od: , MASELENO, Andino, i dr.
Izdano: (2009)

Research on the Circuit Breaker State Judgment Method Based on Ant Colony Optimization Dempster-Shafer Evidence Theory
od: Qian Zhang, i dr.
Izdano: (2025-02-01)

Trapezoidal Intuitionistic Fuzzy Multiattribute Decision Making Method Based on Cumulative Prospect Theory and Dempster-Shafer Theory
od: Xihua Li, i dr.
Izdano: (2014-01-01)

Using Dempster-Shafer Evidence Theory and Choquet Integral for Image Segmentation in Gas-Liquid Two-Phase Flow
od: Shihong Yue, i dr.
Izdano: (2009-01-01)

Advanced Risk Assessment for Deep Excavation in Karst Regions Using Improved Dempster–Shafer and Dynamic Bayesian Networks
od: Zhenyu Lei, i dr.
Izdano: (2024-09-01)

Ship collision risk assessment: a multi-criteria decision-making framework based on Dempster–Shafer evidence theory
od: Wang, Nanxi, i dr.
Izdano: (2024)