A fuzzy approach to transport optimization problem von Chandran, Sudhagar, Kandaswamy, Ganesan

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Transportation of Materials Under Fuzzy Environment Using Expected Monetary Value Strategy von Gunasekaran, Krishnaveni, Samson, Melita Vinoliah Edwin, Murugesan, Balaganesan, Kandaswamy, Ganesan

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Impact of aging on metal oxide-doped fluorophosphate nanopowder von Ganesan, Sundara Moorthi, Kandaswamy, Ravichandran, Thangavel, Vijayakumar Chinnaswamy, Sankaralingam, Pugalanthipandian

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AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties von Kandaswamy, Krishna Kumar, Chou, Kuo-Chen, Martinetz, Thomas, Möller, Steffen, Suganthan, P.N., Sridharan, S., Pugalenthi, Ganesan

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Effect of the Addition of Inorganic Fillers on the Properties of Degradable Polymeric Blends for Bone Tissue Engineering von Marecik, Stanisław, Pudełko-Prażuch, Iwona, Balasubramanian, Mareeswari, Ganesan, Sundara Moorthi, Chatterjee, Suvro, Pielichowska, Kinga, Kandaswamy, Ravichandran, Pamuła, Elżbieta

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BLProt: prediction of bioluminescent proteins based on support vector machine and relieff feature selection von Kandaswamy, Krishna Kumar, Pugalenthi, Ganesan, Hazrati, Mehrnaz Khodam, Kalies, Kai-Uwe, Martinetz, Thomas

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Biological activity of selected Lamiaceae and Zingiberaceae plant essential oils against the dengue vector Aedes aegypti L. (Diptera: Culicidae) von Kalaivani, Kandaswamy, Senthil-Nathan, Sengottayan, Murugesan, Arunachalam Ganesan

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The Influence of Citrus Pectin and Polyacrylamide Modified with Plant-Derived Additives on the Properties of α-TCP-Based Bone Cements von Czechowska, Joanna P, Pańtak, Piotr, Kowalska, Kinga J, Vedaiyan, Jeevitha, Balasubramanian, Mareeswari, Ganesan, Sundara Moorthi, Kwiecień, Konrad, Pamuła, Elżbieta, Kandaswamy, Ravichandran, Zima, Aneta

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Characterization and In Vitro Evaluation of Porous Polymer-Blended Scaffolds Functionalized with Tricalcium Phosphate von Pudełko-Prażuch, Iwona, Balasubramanian, Mareeswari, Ganesan, Sundara Moorthi, Marecik, Stanisław, Walczak, Kamila, Pielichowska, Kinga, Chatterjee, Suvro, Kandaswamy, Ravichandran, Pamuła, Elżbieta

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High Sensitivity Terahertz Biosensor Based on Graphene/Methylammonium Lead Halide Metasurface with Machine Learning-Enhanced Pathogen Detection von Wekalao, Jacob, Siddharthan, Niranjana, Shibu, Soman, Murthy, Garapati Satyanarayana, Karthikeyan, Kandaswamy Vasudevan, Mallan, Srinivasan, Ganesan, Kalpanadevi, Sekar, Vijayalakshmi, Rashed, Ahmed Nabih Zaki

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Pesticide Residues in Two Frog Species in a Paddy Agroecosystem in Palakkad District, Kerala, India von Kittusamy, Ganesan, Kandaswamy, Chandrasekar, Kandan, Nambirajan, Subramanian, Muralidharan

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EcmPred: Prediction of extracellular matrix proteins based on random forest with maximum relevance minimum redundancy feature selection von Kandaswamy, Krishna Kumar, Pugalenthi, Ganesan, Kalies, Kai-Uwe, Hartmann, Enno, Martinetz, Thomas

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Exome sequencing in families with severe mental illness identifies novel and rare variants in genes implicated in Mendelian neuropsychiatric syndromes von Ganesh, Suhas, Ahmed P., Husayn, Nadella, Ravi K., More, Ravi P., Seshadri, Manasa, Viswanath, Biju, Rao, Mahendra, Jain, Sanjeev, Mukherjee, Odity, Viswanath, Biju, Rao, Naren P., Narayanaswamy, Janardhanan C., Sivakumar, Palanimuthu T, Kandaswamy, Arun, Kesavan, Muralidharan, Mehta, UrvakhshMeherwan, Venkatasubramanian, Ganesan, John, John P., Purushottam, Meera, Kannan, Ramakrishnan, Mehta, Bhupesh, Kandavel, Thennarasu, Binukumar, B, Saini, Jitender, Jayarajan, Deepak, Shyamsundar, A, Thirthalli, Jagadisha, Chandra, Prabha S., Gangadhar, Bangalore N., Murthy, Pratima, Benegal, Vivek, Varghese, Mathew, Reddy, Janardhan YC, Jain, Sanjeev, Panicker, Mitradas M., Bhalla, Upinder S, Raghu, Padinjat, Mukherjee, Odity, Chattarji, Sumantra, Rao, Mahendra

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Identification of functionally diverse lipocalin proteins from sequence information using support vector machine von Pugalenthi, Ganesan, Kandaswamy, Krishna Kumar, Suganthan, P. N, Archunan, G, Sowdhamini, R

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SPRED: A machine learning approach for the identification of classical and non-classical secretory proteins in mammalian genomes von Kandaswamy, Krishna Kumar, Pugalenthi, Ganesan, Hartmann, Enno, Kalies, Kai-Uwe, Möller, Steffen, Suganthan, P.N., Martinetz, Thomas

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Designing a wrist-worn sensor to improve medication adherence: accommodating diverse user behaviors and technology preferences von Marquard, Jenna L, Saver, Barry, Kandaswamy, Swaminathan, Martinez, Vanessa I, Simoni, Jane M, Stekler, Joanne D, Ganesan, Deepak, Scanlan, James

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Insights into Protein Sequence and Structure-Derived Features Mediating 3D Domain Swapping Mechanism using Support Vector Machine Based Approach von Shameer, Khader, Pugalenthi, Ganesan, Kandaswamy, Krishna Kumar, Suganthan, Ponnuthurai N., Archunan, Govindaraju, Sowdhamini, Ramanathan

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Insights into Protein Sequence and Structure-Derived Features Mediating 3D Domain Swapping Mechanism using Support Vector Machine Based Approach von Khader Shameer, Ganesan Pugalenthi, Krishna Kumar Kandaswamy, Ponnuthurai N. Suganthan, Govindaraju Archunan, Ramanathan Sowdhamini

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Amebic Pericarditis von Ganesan, T.K., Kandaswamy, S.

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