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• Magnetic field enhancement technique in the fluid flow gap of a single coil twin tube Magnetorheological damper using magnetic shields

  Ganesha, A., Patil, S., Kumar, N. & Murthy, A., 06-2020, In: Journal of Mechanical Engineering and Sciences. 14, 2, p. 6679-6689 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  7 Citations (Scopus)

• Magnetic field and frequency dependent LVE limit characterization of magnetorheological elastomer

  Poojary, U. R. & Gangadharan, K. V., 01-04-2017, In: Journal of the Brazilian Society of Mechanical Sciences and Engineering. 39, 4, p. 1365-1373 9 p.

  Research output: Contribution to journal › Article › peer-review
  9 Citations (Scopus)

• Magnetic domain studies of cobalt nanostructures

  Nagaraja, H. S., Nagaraja, K. K., Rossignol, F., Dumas-Bouchiat, F., Champeaux, C. & Catherinot, A., 01-08-2012, In: Journal of Superconductivity and Novel Magnetism. 25, 6, p. 1901-1906 6 p.

  Research output: Contribution to journal › Article › peer-review
  6 Citations (Scopus)

• Magnetic and thermal behavior of Ru _0.9Sr ₂YCu _2.1O _7.9 magneto-superconductor synthesized by high-pressure high-temperature technique

  Kumar, A., Gahtori, B., Rao, A., Kuo, Y. K., Shahnawaz, Awana, V. P. S. & Tandon, R. P., 01-07-2011, In: Journal of Superconductivity and Novel Magnetism. 24, 5, p. 1643-1648 6 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Magnetically separable core-shell ZnFe₂O₄@ZnO nanoparticles for visible light photodegradation of methyl orange

  Kulkarni, S. D., Kumbar, S., Menon, S. G., Choudhari, K. S. & Santhosh, C., 01-05-2016, In: Materials Research Bulletin. 77, p. 70-77 8 p.

  Research output: Contribution to journal › Article › peer-review
  79 Citations (Scopus)

• Magnetic activated charcoal/Fe₂O₃ nanocomposite for the adsorptive removal of 2,4-Dichlorophenoxyacetic acid (2,4-D) from aqueous solutions: Synthesis, characterization, optimization, kinetic and isotherm studies

  Vinayagam, R., Pai, S., Murugesan, G., Varadavenkatesan, T., Narayanasamy, S. & Selvaraj, R., 01-2022, In: Chemosphere. 286, 131938.

  Research output: Contribution to journal › Article › peer-review
  26 Citations (Scopus)

• Magnetic activated carbon synthesized using rubber fig tree leaves for adsorptive removal of tetracycline from aqueous solutions

  Vinayagam, R., Quadras, M., Varadavenkatesan, T., Debraj, D., Goveas, L. C., Samanth, A., Balakrishnan, D. & Selvaraj, R., 01-01-2023, In: Environmental Research. 216, 114775.

  Research output: Contribution to journal › Article › peer-review

• Magnet and semi precision attachment in an implant retained partial denture for the rehabilitation of an irradiated marginal mandibulectomy patient: A case report

  Bangera, B. S., Guttal, S. S., Kulkarni, S. S., Kudva, A. & Thakur, S., 01-09-2015, In: Journal of Clinical and Diagnostic Research. 9, 9, p. ZD12-ZD14

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Magnesium sulphate as rescue haemodynamic stabilizer during phaeochromocytoma excision

  Jyothsna, Krishna, H. M. & Kini, G., 10-2009, In: Journal of Anaesthesiology Clinical Pharmacology. 25, 4, p. 491-492 2 p.

  Research output: Contribution to journal › Article › peer-review

• Magnesium ion conducting free-standing biopolymer blend electrolyte films for electrochemical device application

  Nayak, P., Ismayil, Cyriac, V., Hegde, S., Sanjeev, G., Murari, M. S. & Sudhakar, Y. N., 15-09-2022, In: Journal of Non-Crystalline Solids. 592, 121741.

  Research output: Contribution to journal › Article › peer-review

• 'Magister neurochirurgiae': A 3-year 'crash course' or a 5-year 'punctilious pedagogy'?

  Vilanilam, G. C., Easwer, H. V., Menon, G. R. & Karmarkar, V., 01-03-2017, In: Neurology India. 65, 2, p. 434-437 4 p.

  Research output: Contribution to journal › Letter › peer-review
  9 Citations (Scopus)

• Maggots in the intercostal drain: Case report of a rare presentation with a brief review of literature

  Gupta, M., Rao, S. R., Salins, N., Singhai, P. & Rao, K. S., 07-2021, In: Indian Journal of Palliative Care. 27, 3, p. 439-441 3 p.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

• Maggots at colostomy site: An unusual finding!

  Kumar, S. S., Veerabhadrappa, B., Khan, A. & Rodrigues, G. S., 01-01-2019, In: Annals of Gastroenterology. 32, 1, 1 p.

  Research output: Contribution to journal › Comment/debate › peer-review

• Mad rush for a career in computers: Symptom or disease?

  Unnikrishnan, M. K., 2005, In: Current Science. 88, 9, p. 1355-1356 2 p.

  Research output: Contribution to journal › Article › peer-review

• Macular thickness in diabetic retinopathy without clinically significant macular edema: A prospective study

  Rao, K., Chandra, R., Rao, L., Shailaja, S. & Hazarika, M., 01-01-2018, In: Asian Journal of Ophthalmology. 16, 2, p. 64-78 15 p.

  Research output: Contribution to journal › Article › peer-review

• Macular hyperpigmentation in a furnace worker

  Paul, M., Shenoi, S. D. & Srinivas, C. R., 28-03-1998, In: Contact Dermatitis. 38, 3, 1 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Macronutrient and micronutrient knowledge among adolescent girls of udupi taluk karnataka

  Gupta, A., Noronha, J. A. & Shobha, 01-10-2018, In: Indian Journal of Public Health Research and Development. 9, 10, p. 190-194 5 p.

  Research output: Contribution to journal › Article › peer-review

• MAC Layer Protocol Selection Mechanism for the Energy Efficient Cross Layer Protocol Design of Wireless Sensor Network

  Arockiaraj, S., Hebbar, H. & Makkithaya, K., 2021, 2021 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2021. Nayak, N., Dash, T. & Parida, T. (eds.). Institute of Electrical and Electronics Engineers Inc., (2021 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Machining Parameters Optimization of AA6061 Using Response Surface Methodology and Particle Swarm Optimization

  Lmalghan, R., Rao, K., ArunKumar, S., Rao, S. S. & Herbert, M. A., 01-05-2018, In: International Journal of Precision Engineering and Manufacturing. 19, 5, p. 695-704 10 p.

  Research output: Contribution to journal › Article › peer-review
  36 Citations (Scopus)

• Machining of fiber-reinforced thermoplastics: Influence of feed and drill size on thrust force and torque during drilling

  Mohan, N. S., Ramachandra, A. & Kulkarni, S. M., 26-09-2005, In: Journal of Reinforced Plastics and Composites. 24, 12, p. 1247-1257 11 p.

  Research output: Contribution to journal › Article › peer-review
  31 Citations (Scopus)

• Machining of D2 heat treated steel using Abrasive Water Jet: The effect of standoff distance and feed rate on kerf width and surface roughness

  Doreswamy, D., Valavala, A., Winitthumkul, N. & Devineni, A., 01-01-2014, BHR Group - 22nd International Conference on Water Jetting 2014. BHR Group Limited, p. 167-174 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Machining characteristics of nanocomposites

  Umashankar, K. S., Gangadharan, K. V., Desai, V. & Shivamurthy, B., 01-09-2011, In: Advanced Materials Letters. 2, 3, p. 222-226 5 p.

  Research output: Contribution to journal › Article › peer-review
  4 Citations (Scopus)

• Machine learning technology in biohydrogen production from agriculture waste: Recent advances and future perspectives

  Kumar Sharma, A., Kumar Ghodke, P., Goyal, N., Nethaji, S. & Chen, W. H., 11-2022, In: Bioresource Technology. 364, 128076.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Machine learning techniques for neonatal apnea prediction

  Shirwaikar, R. D., Acharya, U. D., Makkithaya, K., Surulivel, R. M. & Lewis, L. E. S., 2016, In: Journal of Artificial Intelligence. 9, 1-3, p. 33-38 6 p.

  Research output: Contribution to journal › Article › peer-review
  14 Citations (Scopus)

• Machine learning study of classifiers trained with biophysiochemical properties of amino acids to predict fibril forming peptide motifs

  Kumaran Nair, S. S., Subba Reddy, N. V. & Hareesha, K. S., 09-2012, In: Protein and Peptide Letters. 19, 9, p. 917-923 7 p.

  Research output: Contribution to journal › Article › peer-review
  5 Citations (Scopus)

• Machine learning models to predict the dropouts in Massive Open Online Courses

  Kashyap, A. & Nayak, A., 05-2018, 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1083-1087 5 p. 9012279. (2018 3rd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2018 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Machine learning models for drug–target interactions: current knowledge and future directions

  D'Souza, S., Prema, K. V. & Balaji, S., 04-2020, In: Drug Discovery Today. 25, 4, p. 748-756 9 p.

  Research output: Contribution to journal › Review article › peer-review
  56 Citations (Scopus)

• Machine Learning Models for Classification of Human Emotions Using Multivariate Brain Signals

  Kumar G. S, S., Arun, A., Sampathila, N. & Vinoth, R., 10-2022, In: Computers. 11, 10, 152.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  1 Citation (Scopus)

• Machine Learning Model Generation With Copula-Based Synthetic Dataset for Local Differentially Private Numerical Data

  Sei, Y., Andrew Onesimu, J. & Ohsuga, A., 2022, In: IEEE Access. 10, p. 101656-101671 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• MACHINE LEARNING MODEL FOR GLARE PREDICTION IN OFFICES WITH SIMPLE ARCHITECTURAL FEATURES

  Sanjeev Kumar, T. M., Kurian, C. P., Colaco, S. G. & Mathew, V., 01-09-2022, In: Journal of Green Building. 17, 4, p. 79-97 19 p.

  Research output: Contribution to journal › Article › peer-review

• Machine learning in coronary heart disease prediction: Structural equation modelling approach

  Rodrigues, L. L. R., Shetty, D. K., Naik, N., Maddodi, C. B., Rao, A., Shetty, A. K., Bhat, R. & Hameed, Z., 01-01-2020, In: Cogent Engineering. 7, 1, 1723198.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  7 Citations (Scopus)

• Machine Learning based Predictors of Cardiovascular Disease among Young Adults

  Shetty, D. K., Rodrigues, L. L. R., Shetty, A. K. & Nair, G., 2022, In: Engineered Science. 17, p. 292-302 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  4 Citations (Scopus)

• Machine learning based predictive model for the analysis of sequence activity relationships using protein spectra and protein descriptors

  Mckenna, A. & Dubey, S., 04-2022, In: Journal of Biomedical Informatics. 128, p. 104016 104016.

  Research output: Contribution to journal › Article › peer-review

• Machine learning based landslide susceptibility mapping models and GB-SAR based landslide deformation monitoring systems: Growth and evolution

  Ganesh, B., Vincent, S., Pathan, S. & Garcia Benitez, S. R., 01-2023, In: Remote Sensing Applications: Society and Environment. 29, 100905.

  Research output: Contribution to journal › Review article › peer-review

• Machine learning based electronic triage for emergency department

  Olivia, D., Nayak, A. & Balachandra, M., 01-01-2018, Applications and Techniques in Information Security - 9th International Conference, ATIS 2018, Proceedings. Chen, Q., Wu, J., Zhang, S., Yuan, C., Batten, L. & Li, G. (eds.). Springer Verlag, p. 215-221 7 p. (Communications in Computer and Information Science; vol. 950).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  4 Citations (Scopus)

• Machine-learning-based classification of Stokes-Mueller polarization images for tissue characterization

  Sindhoora, K. M., Spandana, K. U., Ivanov, D., Borisova, E., Raghavendra, U., Rai, S., Kabekkodu, S. P., Mahato, K. K. & Mazumder, N., 09-04-2021, In: Journal of Physics: Conference Series. 1859, 1, 012045.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access
  3 Citations (Scopus)

• Machine learning-assisted adaptive modulation for optimized drone-user communication in b5g

  Gopi, S. P., Magarini, M., Alsamhi, S. H. & Shvetsov, A. V., 12-2021, In: Drones. 5, 4, 128.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  8 Citations (Scopus)

• Machine learning approach for classification of maculopapular and vesicular rashes using the textural features of the skin images

  Sudhakara Upadya, P., Sampathila, N., Hebbar, H. & Pai, S. B., 2022, In: Cogent Engineering. 9, 1, 2009093.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  3 Citations (Scopus)

• Machine learning approaches for acetic acid test based uterine cervix image analysis

  Kudva, V., Prasad, K. & Guruvare, S., 01-01-2020, Computational Intelligence and Its Applications in Healthcare. Elsevier, p. 129-144 16 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Machine-Learning-Algorithm to predict the High-Performance concrete compressive strength using multiple data

  Kamath, M. V., Prashanth, S., Kumar, M. & Tantri, A., 2022, (Accepted/In press) In: Journal of Engineering, Design and Technology.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Machine intelligent diagnosis of ECG for arrhythmia classification using DWT, ICA and SVM techniques

  Desai, U., Martis, R. J., Nayak, C. G., Sarika, K. & Seshikala, G., 29-03-2016, 12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015. Institute of Electrical and Electronics Engineers Inc., 7443220

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  38 Citations (Scopus)

• Machinability study of manganese alloyed austempered ductile iron

  Hegde, A. & Sharma, S., 01-07-2018, In: Journal of the Brazilian Society of Mechanical Sciences and Engineering. 40, 7, 338.

  Research output: Contribution to journal › Article › peer-review
  3 Citations (Scopus)

• MACHINABILITY STUDY AND OPTIMIZATION OF TOOL LIFE AND SURFACE ROUGHNESS OF FERRITE - BAINITE DUAL PHASE STEEL

  Hegde, A., Hindi, J., Gurumurthy, B. M., Sharma, S. & Ki, A., 2022, In: Journal of Applied Engineering Science. 20, 2, p. 358-364 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Machinability and surface integrity investigation during helical hole milling in AZ31 magnesium alloy

  Adhikari, R., Bolar, G., Shanmugam, R. & Koklu, U., 06-2023, In: International Journal of Lightweight Materials and Manufacture. 6, 2, p. 149-164 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Machinability and related properties of austempered ductile iron: A review

  Hegde, A., Sharma, S. & Gowri Shankar, M. C., 01-12-2018, In: Journal of Mechanical Engineering and Sciences. 12, p. 4180-4190 11 p.

  Research output: Contribution to journal › Article › peer-review
  6 Citations (Scopus)

• Lymphomas of palatine tonsil in patients at a tertiary care centre in coastal India: A ten-year case analysis

  Khadilkar, M. N., Dosemane, D., Prasanna, M. P., Sreedharan, S., Shenoy, V., Kabekkodu, S. & Khadilkar, U. N., 03-07-2022, In: Biomedicine (India). 42, 3, p. 504-510 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Lymphoepithelial Sialadenitis Involving HIV-Infected and Sjogren Syndrome Patients: A Cytologic Study

  Saha, D., Tapadia, R., Lobo, F. D., Dhavalpure, N., Swamy, M. & Murali, N., 01-06-2019, In: Indian Journal of Otolaryngology and Head and Neck Surgery. 71, 2, p. 176-181 6 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Lymphocytic variant of hypereosinophilic syndrome complicated by myocarditis

  Kumar, S., Madireddi, J., Kudru, C. S. U. & Shankar, S., 01-10-2015, In: Journal of Cardiovascular Disease Research. 6, 4, p. 184-186 3 p.

  Research output: Contribution to journal › Article › peer-review

• Lymphocyte membrane fluidity in peripheral vascular disease patients after treatment with pentoxifylline

  Motta, C., Conan, F., Roche, M. & Thao Chan, M., 01-01-1989, In: Clinical Hemorheology. 9, 1, p. 47-54 8 p.

  Research output: Contribution to journal › Article › peer-review
  5 Citations (Scopus)

• Lymph node yield in treatment naïve cases of head and neck squamous cell carcinoma: En bloc lymphadenectomy versus level-by-level dissection

  Devaraja, K., Pujary, K., Ramaswamy, B., Nayak, D., Kumar, N. & Nayak, D., 01-03-2021, In: Journal of Laryngology and Otology.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)