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Predicting over-the-counter antibiotic use in rural Pune, India, using machine learning methods.

• Authors : Sawant PA; Department of Health Sciences, School of Health Sciences, Savitribai Phule Pune University, Pune, India.; Hiralkar SS

Subjects: Machine Learning* ; Nonprescription Drugs*/Nonprescription Drugs*/Nonprescription Drugs*/therapeutic use ; Anti-Bacterial Agents*/Anti-Bacterial Agents*/Anti-Bacterial Agents*/therapeutic use

• Source: Epidemiology and health [Epidemiol Health] 2024; Vol. 46, pp. e2024044. Date of Electronic Publication: 2024 Apr 13.Publisher: Korean Society of Epidemiology Country of Publication: Korea (South) NLM ID: 101519472 Publication Model: Print-Electronic Cited Medium:

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Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility.

• Authors : Pal, Subodh Chandra¹ (AUTHOR) ; Arabameri, Alireza² (AUTHOR) ; Blaschke, Thomas³ (AUTHOR)

• Source: Remote Sensing. Nov2020, Vol. 12 Issue 22, p3675. 1p.

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Diagnosis of Dementia by Machine learning methods in Epidemiological studies: a pilot exploratory study from south India.

• Authors : Bhagyashree, Sheshadri Iyengar Raghavan¹ ; Nagaraj, Kiran² ; Prince, Martin³

• Source: Social Psychiatry & Psychiatric Epidemiology. Jan2018, Vol. 53 Issue 1, p77-86. 10p.

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Analysing Crimes of Indian Datasets Based on Machine Learning Methods.

• Authors : Sarah, Jessica; Danny, Amisha Michelle; Deen, Juan Mark

Subjects: CRIMINAL procedure; CRIME statistics; CRIMEINDIA

• Source: Turkish Online Journal of Qualitative Inquiry; 2021, Vol. 12 Issue 8, p2415-2435, 21p

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Potential of DESIS and PRISMA hyperspectral remote sensing data in rock classification and mineral identification:a case study for Banswara in Rajasthan, India.

• Authors : Tripathi, Prateek¹ (AUTHOR) ; Garg, Rahul Dev¹ (AUTHOR)

Subjects: *REMOTE sensing; *INDEPENDENT component analysis; *SINGULAR value decompositionRAJASTHAN (India); INDIA

• Source: Environmental Monitoring & Assessment. May2023, Vol. 195 Issue 5, p1-25. 25p.

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A novel machine learning approach for rice yield estimation.

• Authors : Lingwal, Surabhi¹ (AUTHOR) ; Bhatia, Komal Kumar² (AUTHOR); Singh, Manjeet² (AUTHOR)

• Source: Journal of Experimental & Theoretical Artificial Intelligence. Apr2024, Vol. 36 Issue 3, p337-356. 20p.

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Bootstrap aggregating approach to short-term load forecasting using meteorological parameters for demand side management in the North-Eastern Region of India.

• Authors : Sarkar, Dipu¹ (AUTHOR) ; Ao, Taliakum¹ (AUTHOR); Gunturi, Sravan Kumar² (AUTHOR)

• Source: Theoretical & Applied Climatology. May2022, Vol. 148 Issue 3/4, p1111-1125. 15p. 4 Diagrams, 4 Charts, 8 Graphs.

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Manifesting deep learning algorithms for developing drought vulnerability index in monsoon climate dominant region of West Bengal, India.

• Authors : Saha, Sunil¹ (AUTHOR); Kundu, Barnali¹ (AUTHOR); Saha, Anik¹ (AUTHOR)

• Source: Theoretical & Applied Climatology. Jan2023, Vol. 151 Issue 1/2, p891-913. 23p. 1 Diagram, 6 Charts, 1 Graph, 10 Maps.

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Fertilizer Use, Value, and Knowledge Capital: A Case of Indian Farming.

• Authors : Paul, Bino¹ (AUTHOR) ; Patnaik, Unmesh² (AUTHOR); Sasidharan, Subash³ (AUTHOR)

Subjects: *SUSTAINABLE agriculture; *GROUP identity; *FACTORS of productionINDIA

• Source: Sustainability (2071-1050). Oct2022, Vol. 14 Issue 19, p12491-12491. 16p.

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Implementing Machine Learning for Supply-Demand Shifts and Price Impacts in Farmer Market for Tool and Equipment Sharing.

• Authors : Rakhra, Manik¹ (AUTHOR); Bhargava, Amitabh² (AUTHOR); Bhargava, Deepshikha³ (AUTHOR)

Subjects: *FARMERS' attitudes; *MACHINE learning; *MARKET equilibriumINDIA

• Source: Journal of Food Quality. 3/15/2022, p1-19. 19p.

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