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

Xehetasun bibliografikoak
Egile nagusia:	189731 Satya Nanda Vel Arjunan
Formatua:
Hizkuntza:	eng
Argitaratua:	Skudai : Universiti Teknologi Malaysia, 2003
Gaiak:	Artificial neural networks
Sarrera elektronikoa:	http://www.psz.utm.my/sla/billing/login.asp?mid=42436

Antzeko izenburuak

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

Classic works of the dempster-shafer theory of belief functions /
nork: Yager, Ronald R., 1941-, et al.
Argitaratua: (2008)

Protein secondary structure prediction based on denoeux belief neural network /
nork: 189731 Satya Nanda Vel Arjunan, et al.
Argitaratua: (2002)

Protein secondary structure prediction based on denoeux belief neural network /
nork: 189731 Satya Nanda Vel Arjunan, et al.
Argitaratua: (2002)

Assignment of protein sequence to functional family using neural network & Dempster-Shafer theory
nork: Zaki, N. M., et al.
Argitaratua: (2003)

Protein secondary structure prediction from amino acid sequence using artificial intelligence technique
nork: Deris, Safaai, et al.
Argitaratua: (2005)

GHSOM intrusion detection based on Dempster-Shafer theory
nork: Jie SU, et al.
Argitaratua: (2015-11-01)

GHSOM intrusion detection based on Dempster-Shafer theory
nork: Jie SU, et al.
Argitaratua: (2015-11-01)

UTMPred : Ab initio eight-state protien secondary structure predictor /
nork: 189731 Satya Nanda Vel Arjunan, et al.
Argitaratua: (2002)

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

A new conflict management method in Dempster–Shafer theory
nork: Jian Wang, et al.
Argitaratua: (2017-03-01)

Spark Plug Fault Recognition Based on Sensor Fusion and Classifier Combination using Dempster–Shafer Evidence Theory
nork: R., Mamat, et al.
Argitaratua: (2015)

Dempster Shafer Untuk Sistem Diagnosa Gejala Penyakit Kulit Pada Kucing
nork: Maura Widyaningsih, et al.
Argitaratua: (2017-04-01)

Weighted cooperative spectrum sensing algorithm based on dempster-shafer evidence theory
nork: Ya-jian ZHOU, et al.
Argitaratua: (2012-12-01)

Weighted cooperative spectrum sensing algorithm based on dempster-shafer evidence theory
nork: Ya-jian ZHOU, et al.
Argitaratua: (2012-12-01)

Literature Survey Of Protein Secondary Structure Prediction
nork: Vel Arjunan, Satya Nanda, et al.
Argitaratua: (2001)

A probabilistic neural network data classifier /
nork: 232113 Ahmadi Baharum
Argitaratua: (1995)

Multisensor Data Fusion for Water Quality Evaluation Using Dempster-Shafer Evidence Theory
nork: Jian Zhou, et al.
Argitaratua: (2013-11-01)

A Tunnel Fire Detection Method Based on an Improved Dempster-Shafer Evidence Theory
nork: Haiying Wang, et al.
Argitaratua: (2024-10-01)

Estimation of Driver Lane Change Intention Based on the LSTM and Dempster–Shafer Evidence Theory
nork: Zhi-Qiang Liu, et al.
Argitaratua: (2021-01-01)

ENSEMBLE SUPPORT VECTOR MACHINES AND DEMPSTER-SHAFER EVIDENCE THEORY FOR MACHINERY MULTI FAULT DIAGNOSIS /
nork: Hui Kar Hoou,‡ 984-, author 654206, et al.
Argitaratua: (2019)

ENSEMBLE SUPPORT VECTOR MACHINES AND DEMPSTER-SHAFER EVIDENCE THEORY FOR MACHINERY MULTI FAULT DIAGNOSIS /
nork: Hui Kar Hoou, 1984-, author 654206, et al.
Argitaratua: (2019)

Development of a hybrid AHP and Dempster-Shafer theory of evidence for project risk assessment problem
nork: Albogami, Saad M., et al.
Argitaratua: (2021)

Distributed multi‐station target tracking based on unscented particle filter and Dempster‐Shafer theory
nork: Haoxuan Du, et al.
Argitaratua: (2024-09-01)

Improved cooperative spectrum sensing scheme based on dempster-shafer theory in cognitive radio network
nork: Mei-ting YU, et al.
Argitaratua: (2014-03-01)

Assessment on Knowledge Network Sharing Capability of Industrial Cluster Based on Dempster-Shafer Theory of Evidence
nork: Shengli Dai, et al.
Argitaratua: (2014-01-01)

Improved cooperative spectrum sensing scheme based on dempster-shafer theory in cognitive radio network
nork: Mei-ting YU, et al.
Argitaratua: (2014-03-01)

Weighted fuzzy track association method based on Dempster–Shafer theory in distributed sensor networks
nork: Lixin Fan, et al.
Argitaratua: (2016-07-01)

A Dempster-Shafer theory based witness trustworthiness model to cope with unfair ratings in e-marketplace
nork: Kot, Alex Chichung, et al.
Argitaratua: (2013)

Risk assessment of groundwater pollution with a new methodological framework: application of Dempster-Shafer theory and GIS
nork: Neshat, Aminreza, et al.
Argitaratua: (2015)

Automatic landslide detection using Dempster–Shafer theory from LiDAR-derived data and orthophotos
nork: Mezaal, Al-Karawi Mustafa Ridha, et al.
Argitaratua: (2017)

A Ranking Procedure by Incomplete Pairwise Comparisons Using Information Entropy and Dempster-Shafer Evidence Theory
nork: Dongbo Pan, et al.
Argitaratua: (2014-01-01)

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

SISTEM PAKAR UNTUK DIAGNOSIS PENYAKIT PADA JAMUR DENGAN MENGGUNAKAN METODE VCIRS DAN DEMPSTER SHAFER
nork: , TRISMAYANTI DWI P, et al.
Argitaratua: (2014)

Aplikasi sistem informasi geografis dan teori Dempster-Shafer sebagai sistem deteksi dini penyakit unggas
nork: , MASELENO, Andino, et al.
Argitaratua: (2009)

Research on the Circuit Breaker State Judgment Method Based on Ant Colony Optimization Dempster-Shafer Evidence Theory
nork: Qian Zhang, et al.
Argitaratua: (2025-02-01)

Trapezoidal Intuitionistic Fuzzy Multiattribute Decision Making Method Based on Cumulative Prospect Theory and Dempster-Shafer Theory
nork: Xihua Li, et al.
Argitaratua: (2014-01-01)

Using Dempster-Shafer Evidence Theory and Choquet Integral for Image Segmentation in Gas-Liquid Two-Phase Flow
nork: Shihong Yue, et al.
Argitaratua: (2009-01-01)

Advanced Risk Assessment for Deep Excavation in Karst Regions Using Improved Dempster–Shafer and Dynamic Bayesian Networks
nork: Zhenyu Lei, et al.
Argitaratua: (2024-09-01)

Ship collision risk assessment: a multi-criteria decision-making framework based on Dempster–Shafer evidence theory
nork: Wang, Nanxi, et al.
Argitaratua: (2024)