Mohamad T. Musavi - researchr alias

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2008

Localization using neural networks in wireless sensor networksAli Shareef, Yifeng Zhu, Mohamad T. Musavi. mobilware 2008: 4 [doi]

2007

Neural network-based light attenuation model for monitoring seagrass population in the Indian river lagoonMohamad T. Musavi, Habtom W. Ressom, S. Srirangam, Padma Natarajan, R. W. Virnstein, L. J. Morris, W. Tweedale. jiis, 29(1):63-77, 2007. [doi]

2006

Estimation of Ocean Water Chlorophyll-a Concentration Using Fuzzy C-means Clustering and Artificial Neural NetworksHabtom W. Ressom, Kevin Turner, Mohamad T. Musavi. ijcnn 2006: 4118-4125 [doi]

2005

Applications of fuzzy logic in genomicsHabtom W. Ressom, Padma Natarajan, Rency S. Varghese, Mohamad T. Musavi. fss, 152(1):125-138, 2005. [doi]

2004

Inversion of ocean color observations using particle swarm optimizationWayne H. Slade Jr., Habtom W. Ressom, Mohamad T. Musavi, Richard L. Miller. tgrs, 42(9):1915-1923, 2004. [doi]

Estimation of photosynthetic efficiency for monitoring seagrass health using neural networksHabtom W. Ressom, S. K. Fyfe, S. Srirangam, Mohamad T. Musavi, Padma Natarajan. pet 2004: 232-237

2002

Biodiversity and Ecosystems Informatics Workshop for the Indian River LagoonMohamad T. Musavi, Habtom W. Ressom, Ross Hinkle, Richard L. Miller. DG.O 2002: [doi]

Improving robustness of fuzzy gene modelingRobert Reynolds, Habtom W. Ressom, Mohamad T. Musavi, Christian Domnisoru. esann 2002: 51-56

Double self-organizing maps to cluster gene expression dataDali Wang, Habtom W. Ressom, Mohamad T. Musavi, Christian Domnisoru. esann 2002: 45-50

1999

Automated Extraction of Linear Features from Aerial Imagery Using Kohonen Learning and GIS DataPeter Doucette, Peggy Agouris, Mohamad T. Musavi, Anthony Stefanidis. isd 1999: 20-33 [doi]

1998

Mouse chromosome classification by radial basis function network with fast orthogonal searchMohamad T. Musavi, Ronald J. Bryant, M. Qiao, Muriel T. Davisson, E. C. Akeson, B. D. French. NN, 11(4):769-777, 1998. [doi]

1995

Application of Fast Orthogonal Search for the Design of RBFNNWahid Ahmed, Donald M. Hummels, Mohamad T. Musavi. iscas 1995: 1952-1955

Prediction of Wood Pulp kappa# with Radial Basis Function Neural NetworkMohamad T. Musavi, D. R. Coughlin, M. Qiao. iscas 1995: 1716-1719

Radial Basis Function Neural Network as Predictive Process Control ModelM. J. Sinclair, Mohamad T. Musavi, M. Qiao. iscas 1995: 1948-1951

1994

Adaptive RBF Neural Network in Signal DetectionWahid Ahmed, Donald M. Hummels, Mohamad T. Musavi. iscas 1994: 265-268

On the Generalization Ability of Neural Network ClassifiersMohamad T. Musavi, Khue Hiang Chan, Donald M. Hummels, K. Kalantri. pami, 16(6):659-663, 1994. [doi]

1993

A minimum error neural network (MNN)Mohamad T. Musavi, K. Kalantri, Wahid Ahmed, Khue Hiang Chan. NN, 6(3):397-407, 1993. [doi]

1992

On the training of radial basis function classifiersMohamad T. Musavi, Wahid Ahmed, Khue Hiang Chan, K. B. Faris, Donald M. Hummels. NN, 5(4):595-603, 1992. [doi]

A probabilistic model for evaluation of neural network classifiersMohamad T. Musavi, Khue Hiang Chan, Donald M. Hummels, K. Kalantri, Wahid Ahmed. PR, 25(10):1241-1251, 1992. [doi]

1991

On the Implementation of RBF Technique in Neural NetworksMohamad T. Musavi, K. B. Faris, Khue Hiang Chan, Wahid Ahmed. anna 1991: 110-115 [doi]

1989

A neural network approach to character recognitionA. Rajavelu, Mohamad T. Musavi, Mukul Vassant Shirvaikar. NN, 2(5):387-393, 1989. [doi]

1988

A vision based method to automate map processingMohamad T. Musavi, Mukul Vassant Shirvaikar, Elangovan Ramanathan, A. R. Nekovei. PR, 21(4):319-326, 1988. [doi]